Research Event

Event participants

29 April 2020

The currently available therapeutic radiopharmaceutical for high-risk neuroblastoma, ¹³¹I-MIBG, is ineffective at targeting micrometastases due to the low linear energy transfer (LET) properties of high-energy beta particles. In contrast, Auger radiation has high-LET properties with nanometer ranges in tissue, efficiently causing DNA damage when emitted in close proximity to DNA. The aim of this study was to evaluate the cytotoxicity of targeted Auger therapy in pre-clinical models of high-risk neuroblastoma. Methods: Using a radiolabeled poly(ADP-ribose) polymerase (PARP) inhibitor, ¹²⁵I-KX1, we delivered an Auger emitter iodine-125 to PARP-1: a chromatin-binding enzyme overexpressed in neuroblastoma. In vitro cytotoxicity of ¹²⁵I-KX1 was assessed in nineteen neuroblastoma cell lines, followed by in-depth pharmacological analysis in a sensitive and resistant pair of cell lines. Immunofluorescence microscopy was used to characterize ¹²⁵I-KX1-induced DNA damage. Finally, in vitro/in vivo microdosimetry was modeled from experimentally derived pharmacological variables. Results: ¹²⁵I-KX1 was highly cytotoxic in vitro across a panel of neuroblastoma cell lines, directly causing double strand DNA breaks. Based on subcellular dosimetry, ¹²⁵I-KX1 was approximately twice as effective compared to ¹³¹I-KX1, whereas cytoplasmic ¹²⁵I-MIBG demonstrated low biological effectiveness. Despite the ability to deliver focused radiation dose to the cell nuclei, ¹²⁵I-KX1 remained less effective than its alpha-emitting analog ²¹¹At-MM4, and required significantly higher activity for equivalent in vivo efficacy based on tumor microdosimetry. Conclusion: Chromatin-targeted Auger therapy is lethal to high-risk neuroblastoma cells with potential use in micrometastatic disease. This study provides the first evidence for cellular lethality from a PARP-1 targeted Auger emitter, calling for further investigation into targeted Auger therapy.

Objective: To investigate the lesion detection rate of ¹⁸F-DCFPyL-PET/CT, a prostate-specific membrane antigen (PSMA) targeted PET agent, in biochemical relapse prostate cancer patients after primary local therapy. Methods: This is a prospective institutional review board-approved study of 90 patients with documented biochemical recurrence (median PSA 2.5 ng/mL, range 0.21-35.5 ng/mL) with negative conventional imaging after primary local therapies, including radical prostatectomy (n = 38), radiation (n = 27) or combination (n = 25). Patients on androgen deprivation therapy were excluded. Patients underwent whole-body ¹⁸F-DCFPyL-PET/CT (299.9±15.5 MBq) at 2 h p.i. PSMA-PET lesion detection rate was correlated with PSA, PSA kinetics and original primary tumor grade. Results: Seventy patients (77.8%) showed a positive PSMA-PET scan, identifying a total of 287 lesions: 37 prostate bed foci, 208 lymph nodes, and 42 bone/organ distant sites; 11 patients had a negative scan and 9 patients showed indeterminate lesions, which were considered negative in this study. The detection rates were 47.6% (n = 10/21), 50% (n = 5/10), 88.9% (n = 8/9), and 94% (n = 47/50) for PSA >0.2 to <0.5, 0.5 to <1.0, 1 to <2.0, and ≥2.0 ng/mL, respectively. In post-surgical patients, PSA, PSAdt and PSAvel correlated with PET results but the same was not true for post-radiation patients. These parameters also correlated with the extent of disease on PET (intrapelvic vs. extrapelvic). There was no significant difference between the rate of positive scans in patients with higher grade vs lower grade primary tumors (Gleason score ≥4+3 vs <3+4). Tumor recurrence was histology confirmed in 40% (28/70) of patients. On a per-patient basis, positive predictive value was 93.3% (95% CI, 77.6-99.2%) by histopathologic validation, and 96.2% (95% CI, 86.3-99.7%) by the combination of histology and imaging/clinical follow-up. Conclusion: ¹⁸F-DCFPyL-PET/CT imaging offers high detection rates in biochemically recurrent prostate cancer patients; and is positive in about 50% of patients with PSA <0.5 ng/mL, which could substantially impact clinical management. In post-surgical patients, ¹⁸F-DCFPyL-PET/CT correlates with PSA, PSAdt and PSAvel suggesting it may have prognostic value. ¹⁸F-DCFPyL-PET/CT is highly promising for localizing sites of recurrent prostate cancer.

Background: ⁶⁸Ga PSMA PET CT (PSMA) is increasingly used in men with biochemical recurrence (BCR) post radical prostatectomy (RP), but its longer term prognostic / predictive potential in these men is unknown. The aim of this study was to evaluate the predictive value of PSMA PET for 3 year freedom from progression (FFP) in men with BCR post RP undergoing salvage radiotherapy (sRT). Methods: This prospective multi-center study enrolled 260 men between 2015 and 2017. Eligible patients were referred for PSMA with rising PSA following RP. Management following PSMA was recorded but not mandated. PSMA protocols were standardised across sites and reported prospectively. Clinical, pathological and surgical information, sRT, timing and duration of androgen deprivation (ADT), 3 year PSA results and clinical events were documented. FFP was defined as a PSA rise ≤ 0.2ng/mL above nadir post sRT, with no additional treatment. Results: The median PSA was 0.26ng/mL (IQR 0.15 - 0.59) and follow-up 38 months (IQR 31-43). PSMA was negative in 34.6% (90/260), confined to prostate fossa 21.5% (56/260), pelvic nodes 26.2% (68/260), and distant disease 17.7% (46/260). 71.5% (186/260) received sRT, 38.2% (71/186) to the fossa only, 49.4% (92/186) fossa + pelvic nodes and 12.4% (23/186) nodes alone/SBRT. PSMA was highly predictive of FFP at 3 years following sRT. Overall, FFP was achieved in 64.5% (120/186) of those who received sRT, 81% (81/100) with negative/fossa confined vs. 45% (39/86) for extra fossa disease (p<0.0001). On logistic regression PSMA was more independently predictive of FFP than established clinical predictors, including PSA, T-stage, surgical margin status or Gleason score (P < 0.002). 32% of men with a negative PSMA PET did not receive treatment. Of these, 66% (19/29) progressed, with a mean rise in PSA of 1.59ng/mL over the 3 years. Conclusion: PSMA PET result is highly predictive of FFP at 3 years in men undergoing sRT for BCR following RP. In particular, men with negative PSMA PET or disease identified as still confined to the prostate fossa demonstrate high FFP, despite receiving less extensive radiotherapy and lower rates of additional ADT than those with extra fossa disease.

The purpose of this study was to assess the predictive and prognostic value of interim FDG PET (iPET) in evaluating early response to immuno-chemotherapy after two cycles (PET-2) in diffuse large B-cell lymphoma (DLBCL) by applying two different methods of interpretation: the Deauville visual five-point scale (5-PS) and a change in standardised uptake value by semi-quantitative evaluation. Methods: 145 patients with newly diagnosed DLBCL underwent pre-treatment PET (PET-0) and PET-2 assessment. PET-2 was classified according to both the visual 5-PS and percentage SUV changes (SUV). Receiver operating characteristic (ROC) analysis was performed to compare the accuracy of the two methods for predicting progression-free survival (PFS). Survival estimates, based on each method separately and combined, were calculated for iPET-positive (iPET+) and iPET-negative (iPET–) groups and compared. Results: Both with visual and SUV-based evaluations significant differences were found between the PFS of iPET– and iPET+ patient groups (p<0.001). Visually the best negative (NPV) and positive predictive value (PPV) occurred when iPET was defined as positive if Deauville score 4-5 (89% and 59%, respectively). Using the 66% SUV cut-off value, reported previously, NPV and PPV were 80 and 76%, respectively. SUV at 48.9% cut-off point, reported for the first time here, produced 100% specificity along with the highest sensitivity (24%). Visual and semi-quantitative SUV<48.9% assessment of each PET-2 gave the same PET-2 classification (positive or negative) in 70% (102/145) of all patients. This combined classification delivered NPV and PPV of 89% and 100% respectively, and all iPET+ patients failed to achieve or remain in remission. Conclusion: In this large consistently treated and assessed series of DLBCL, iPET had good prognostic value interpreted either visually or semi-quantitatively. We determined that the most effective SUV cut-off was at 48.9%, and that when combined with visual 5-PS assessment, a positive PET-2 was highly predictive of treatment failure.

Introduction: Aromatase inhibitors are the mainstay of hormonal therapy in estrogen receptor positive, postmenopausal breast cancer, although response rate is just over 50%. The goal of the present study was to validate and optimize positron emission tomography (PET) with ¹¹C-vorozole for measuring aromatase expression in postmenopausal breast cancer. Methods: Ten newly diagnosed, postmenopausal women with biopsy confirmed breast cancer were administered ¹¹C-vorozole intravenously and PET emission data collected between 40 – 90 minutes post-injection. Tracer injection and scanning were repeated 2 hours after ingestion of 2.5mg letrozole p.o. Mean and maximal standard uptake values and ratios to non-tumor tissue (SUVs, SUVRs) were calculated for tumor and non-tumor regions at baseline and after letrozole. Biopsy specimens from the same tumors were stained for aromatase using immunohistochemistry and evaluated for stain intensity and the percentage of immune-positive cells. Results: Seven of the 10 women (70%) demonstrated increased focal uptake of tracer (SUVR>1.1) coinciding with the mammographic location of the lesion. The other 3 women (30%) did not show increased uptake in the tumor (SUVR <1.0). All of the cases with SUVR above 1.1 had SUVs above 2.4 and there was no overlap in SUV between the two groups, with mean SUV in tumors overexpressing aromatase (SUVR>1.1) ranging from 2.47 to 13.6, while tumors not overexpressing aromatase (SUVR<1) ranged from 0.8 to 1.8. Pretreatment with letrozole reduced tracer uptake in the majority of subjects; although the %blocking varied across and within tumors. Tumors with high SUV in vivo also showed high staining intensity on IHC. Conclusion: PET with ¹¹C-vorozole is a useful technique for measuring aromatase expression in individual breast lesions, enabling a non-invasive quantitative measurement of baseline and post-treatment aromatase availability in primary tumors and metastatic lesions.

Acute myocardial infarction (MI) triggers a local and systemic inflammatory response. We recently showed microglia involvement using TSPO imaging. Here, we evaluate whether ¹¹C-methionine provides further insights into heart-brain inflammation networking. Methods: Male Bl6N mice underwent permanent coronary artery ligation followed by ¹¹C-methionine PET at 3 and 7 days (n = 3). In subgroups, leukocyte homing was blocked by integrin antibodies (n = 5). The cellular substrate for PET signal was identified using brain section immunostaining. Results: ¹¹C-methionine uptake peaked in the MI region at d3 (5.9±0.9vs 2.4±0.5 %ID/cc), decreasing to control level by d7 (4.3±0.6 %ID/cc). Brain uptake was proportional to cardiac uptake (r=0.47,p<0.05), peaking also at d3 (2.9±0.4vs 2.4±0.3 %ID/cc) and returning to baseline at d7 (2.3±0.4 %ID/cc). Integrin blockade reduced uptake at every time point. Immunostaining at d3 revealed co-localization of the L-type amino acid transporter with GFAP-positive astrocytes but not CD68-positive microglia. Conclusion: PET imaging with ¹¹C-methionine specifically identifies an astrocyte component, enabling further dissection of the heart-brain axis in post MI inflammation.

The PET radiotracer ⁶⁸Ga-PSMA-HBED-CC (⁶⁸Ga-PSMA-11) shows potential as an imaging biomarker for recurrent and metastatic prostate cancer. The purpose of this study was to determine repeatability of ⁶⁸Ga-PSMA-HBED-CC in a test-retest trial in subjects with metastatic prostate adenocarcinoma. Methods: Subjects with metastatic prostate cancer underwent two PET/CT scans with ⁶⁸Ga-PSMA-HBED-CC within 14 days (mean 6 ± 4 d). Lesions in bone, nodes, prostate/bed, and visceral organs as well as representative normal tissues (salivary glands and spleen) were segmented separately by two readers. Absolute and percent differences in SUV_max and SUVmean were calculated for all test-retest regions. Repeatability was assessed using percentage difference, within-subject coefficient of variation (wCV), repeatability coefficient (RC), and Bland-Altman analysis. Results: 18 subjects were evaluated, 16 of which demonstrated local or metastatic disease on ⁶⁸Ga-PSMA-HBED-CC PET/CT. A total of 136 lesions were segmented in bone (n = 99), nodes (n = 27), prostate/bed (n = 7), and viscera (n = 3). The wCV for SUV_max was 11.7% for bone lesions and 13.7% for nodes. The RC was ±32.5% SUV_max for bone lesions and ±37.9% SUV_max for nodal lesions, meaning 95% of the normal variability between two measurements will be within these numbers, so larger differences are likely attributable to true biological changes in tumor rather than normal physiologic or measurement variability. wCV in the salivary glands and spleen was 8.9% and 10.7% SUVmean, respectively. Conclusion: Repeatability measurements for PET/CT test-retest with ⁶⁸Ga-PSMA-HBED-CC show a wCV 12-14% SUV_max and RC ±33-38% SUV_max in bone and nodal lesions. These estimates are an important aspect of ⁶⁸Ga-PSMA-HBED-CC as a quantitative imaging biomarker. These estimates are similar to those reported for ¹⁸F-FDG, suggesting that ⁶⁸Ga-PSMA-HBED-CC PET/CT may be useful in monitoring response to therapy.

Background: Accurate definition of the extent and severity of left-ventricular assist device (LVAD) infection may facilitate therapeutic decision making and targeted surgical intervention. Here, we explore the value of ¹⁸F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) for guidance of patient management. Methods: Fifty-seven LVAD-carrying patients received 85 whole-body ¹⁸F-FDG PET/CT scans for the work-up of device infection. Clinical follow-up was obtained over a period of up to two years. Results: PET/CT showed various patterns of infectious involvement of the 4 LVAD components: driveline entry point (77% of cases), subcutaneous driveline path (87%), pump pocket (49%) and outflow tract (58%). Driveline smears revealed staphylococcus or pseudomonas strains as the underlying pathogen in a majority of cases (48 and 34%, respectively). At receiver-operating characteristics analysis, an ¹⁸F-FDG standardized uptake value (SUV) >2.5 was most accurate to identify smear-positive driveline infection. Infection of 3 or all 4 LVAD components showed a trend towards lower survival vs infection of 2 or less components (P = 0.089), while involvement of thoracic lymph nodes was significantly associated with adverse outcome (P = 0.001 for nodal SUV above vs below median). Finally, patients that underwent early surgical revision within 3 months after PET/CT (n = 21) required significantly less inpatient hospital care during follow-up when compared to those receiving delayed surgical revision (n = 11; p<0.05). Conclusion: Whole-body ¹⁸F-FDG PET/CT identifies the extent of LVAD infection and predicts adverse outcome. Initial experience suggests that early image-guided surgical intervention may facilitate a less complicated subsequent course.

Cri-Du-Chat Syndrome (CdCs) is a rare genetic disease caused by a deletion in the short arm of chromosome 5 (5p) with a variable clinical spectrum. To date no study in literature has ever investigated the alterations of brain glucose metabolism in these subjects by means of [¹⁸F]fluoro-2-deoxy-d-glucose Positron Emission Tomography/Computed Tomography (¹⁸F-FDG PET/CT). The aims of this study were to detect difference in brain FDG metabolism in patients affected by CdCs with different clinical presentations and identify possible "brain metabolic phenotypes" of this syndrome. Methods: 6 patients (age: 5 M and 1 F, age range: 10-27) with CdCs were assessed for presence of cognitive and behavioral symptoms with a battery of neuropsychological tests and then classified as patient with a severe or mild phenotype. Then, patients underwent a brain ¹⁸F-FDG PET/CT scan. PET/CT findings were compared to a control group, matched for age and sex, by using statistical parametric mapping (SPM). Association of different clinical phenotypes and ¹⁸F-FDG PET/CT findings was investigated. Results: Four patients presented a severe phenotype, whereas 2 patients demonstrated mild phenotype. SPM single subject and group analysis compared to the control cohort revealed a significant hypometabolism in the left temporal lobe (BAs 20, 36 and 38), in the right frontal subcallosal gyrus (BA 34) and caudate body, and in the cerebellar tonsils (p<0.001). Hypermetabolism (P = 0.001) was revealed in the right superior and precentral frontal gyrus (BA 6) in patient group compared to the control cohort. In SPM single subject analysis the hypermetabolic areas were detected only in patients with a severe phenotype. Conclusion: This study revealed different patterns of brain glucose metabolism in patients with severe and mild phenotype compared to control subjects. In particular, the hypermetabolic abnormalities in the brain, evaluated by¹⁸F-FDG PET/CT, seem to correlate with the severe phenotype in patients with CdCs.

Objectives: Radioactive iodine (¹³¹I) therapy may be used to treat thyroid cancer in end-stage renal disease patients who undergo hemodialysis. Because iodine predominantly utilizes renal clearance, treatment management in hemodialysis patients may be problematic, and no formal recommendations on hemodialysis currently exist. This work details our experience with treating thyroid cancer with iodine in chronic renal failure patients who require hemodialysis and details the therapeutic dosimetry results obtained during treatment to ensure that the dose to the bone marrow (BM) was acceptable. Methods: We treated 6 patients in the metabolic radiotherapy unit after thyroid stimulation. Two hemodialysis sessions in the metabolic radiotherapy unit were performed at 42 and 90 hours after radiopharmaceutical administration. BM toxicity was estimated with activity measurements from blood samples and with whole-body measurements that were regularly repeated during hospitalization and measured with a gamma counter. The patients underwent thyroid and hematologic monitoring to assess treatment efficacy and therapeutic toxicity in the short, medium and long term. Results: Whole-body activity was reduced on average by 66.7% [60.1-71.5] after the first dialysis session and by 53.3% [30.4-67.8] after the second. The mean estimated total absorbed dose to the BM was 0.992 Gy for all patients [0.431 – 2.323]. We did not observe any significant hematologic toxicity, and the clinical, biological and ultrasound test results confirmed the success of ablative treatment for the majority of patients. Conclusion: An approximately 30% reduction from the nominal dose in the amount of ¹³¹I activity for hemodialysis patients with thyroid cancer appears to strike an appropriate balance between the absence of BM toxicity and therapeutic efficacy. To avoid overirradiation, we recommend pretherapeutic dosimetry studies for metastatic patients to calculate the amount of activity to be administered as well as dosimetry monitoring during the hemodialysis sessions performed after therapeutic dose administration and under the same conditions.

Quantitative evaluation of radiolabeled Prostate-Specific Membrane Antigen (PSMA) PET scans may be used to monitor treatment response in patients with prostate cancer (PCa). To interpret longitudinal differences in PSMA uptake, the intrinsic variability of tracer uptake in PCa lesions needs to be defined. The aim of this study was to investigate the repeatability of quantitative ¹⁸F-DCFPyL (a second generation ¹⁸F-PSMA-ligand) PET/CT measurements in patients with PCa. Methods: Twelve patients with metastatic PCa were prospectively included, of which 2 were excluded from final analyses. Patients received two whole-body ¹⁸F-DCFPyL PET/CT scans (median dose 317 MBq; uptake time 120 min), within median 4 days (range 1-11 days). After semi-automatic (isocontour-based) tumor delineation, the following lesion-based metrics were derived: Tumor-to-Blood ratio (TBRmean, TBRpeak, and TBRmax), Standardized Uptake Value (SUVmean, SUVpeak, SUV_max, normalized to bodyweight), tumor volume, and total lesion tracer uptake (TLU). Additionally, patient-based Total Tumor Volume (sum of PSMA-positive tumor volumes; TTV) and Total Tumor Burden (sum of all lesion TLUs; TTB) were derived. Repeatability was analyzed using repeatability coefficients (RC) and intra-class correlations (ICC). Additionally, the effect of point spread function (PSF) image reconstruction on the repeatability of uptake metrics was evaluated. Results: In total, 36 ¹⁸F-DCFPyL PET positive lesions were analyzed (up to 5 lesions per patient). RCs of TBRmean, TBRpeak, and TBRmax were 31.8%, 31.7%, and 37.3%, respectively. For SUVmean, SUVpeak, SUV_max the RCs were 24.4%, 25.3% and 31.0%, respectively. All ICC were ≥0.97. Tumor volume delineations were well repeatable, with RC 28.1% for individual lesion volumes and RC 17.0% for TTV. TTB had a RC of 23.2% and 33.4%, when based on SUVmean and TBRmean, respectively. Small lesions (<4.2mL) had worse repeatability for volume measurements. The repeatability of SUVpeak, TLU, and all patient-level metrics were not affected by PSF-reconstruction. Conclusion: ¹⁸F-DCFPyL uptake measurements are well repeatable and can be used for clinical validation in future treatment response assessment studies. Patient-based TTV may be preferred for multicenter studies since its repeatability was both high and robust to different image reconstructions.

The impact of prostate specific membrane antigen (PSMA) PET/CT on management of prostate cancer (PCa) patients with biochemical recurrence (BCR) is well-established. However, whether and how PSMA PET/CT affects the management of patients undergoing scans for other clinical indications remains unknown. The goal of this study was to determine the impact of ⁶⁸Ga-PSMA-11 PET/CT on initial and subsequent management decisions in a cohort of PCa patients referred for various indications ("basket trial") excluding the two main classical indications: BCR and presurgical staging. Methods: This was a prospective study of 197 patients that aimed to determine the impact of ⁶⁸Ga-PSMA-11 PET/CT on PCa stage and management. Indications for PSMA PET/CT were: initial staging of non-surgical candidates (30 patients) and re-staging after definitive treatment (n = 168). The re-staging cohort comprised: patients re-staged with known advanced metastatic disease (n = 103), after androgen deprivation therapy only (n = 16), after surgery with serum PSA levels <0.2 ng/ml (n = 13), after radiation therapy (RT) not meeting the Phoenix criteria (n = 22) and after other primary local treatments [i.e. high-intensity focused ultrasound (HIFU), focal laser ablation, cryoablation, hyperthermia or irreversible electroporation] (n = 13). Patients with BCR and candidates for curative surgery were excluded. Impact on management was assessed using pre- and post-PET questionnaires completed by referring physicians, electronic chart review and/or patient telephone encounters. Results: PSMA PET/CT changed disease stage in 135/197 (69%) patients (38% up-stage, 30% down-stage and no changes in stage in 32%). Management was affected in 104/182 (57%) patients. Specifically, PSMA PET/CT impacted management of patients who were re-staged after RT without meeting the Phoenix criteria for BCR, after other definitive local treatments and with advanced metastatic disease in 13/18 (72%), 8/12 (67%) and 59/96 (61%), respectively. Conclusion: PSMA PET/CT has a profound impact on stage and management of PCa patients outside of the two main classical indications (BCR and presurgical staging) across all examined clinical scenarios.

Purpose: To assess the performance of full dose (FD) positron emission tomography (PET) image synthesis in both image and projection space from low-dose (LD) PET images/sinograms without sacrificing diagnostic quality using deep learning techniques. Methods: Clinical brain PET/CT studies of 140 patients were retrospectively employed for LD to FD PET conversion. 5% of the events were randomly selected from the FD list-mode PET data to simulate a realistic LD acquisition. A modified 3D U-Net model was implemented to predict FD sinograms in the projection-space (PSS) and FD images in image-space (PIS) from their corresponding LD sinograms/images, respectively. The quality of the predicted PET images was assessed by two nuclear medicine specialists using a five-point grading scheme. Quantitative analysis using established metrics including the peak signal-to-noise ratio (PSNR), structural similarity index metric (SSIM), region-wise standardized uptake value (SUV) bias, as well as first-, second- and high-order texture radiomic features in 83 brain regions for the test and evaluation dataset was also performed. Results: All PSS images were scored 4 or higher (good to excellent) by the nuclear medicine specialists. PSNR and SSIM values of 0.96 ± 0.03, 0.97 ± 0.02 and 31.70 ± 0.75, 37.30 ± 0.71 were obtained for PIS and PSS, respectively. The average SUV bias calculated over all brain regions was 0.24 ± 0.96% and 1.05 ± 1.44% for PSS and PIS, respectively. The Bland-Altman plots reported the lowest SUV bias (0.02) and variance (95% CI: -0.92, +0.84) for PSS compared with the reference FD images. The relative error of the homogeneity radiomic feature belonging to the Grey Level Co-occurrence Matrix category was -1.07 ± 1.77 and 0.28 ± 1.4 for PIS and PSS, respectively Conclusion: The qualitative assessment and quantitative analysis demonstrated that the FD PET prediction in projection space led to superior performance, resulting in higher image quality and lower SUV bias and variance compared to FD PET prediction in the image domain.

Acidosis is a key driver for many diseases, including cancer, sepsis, and stroke. The spatiotemporal dynamics of dysregulated pH across disease remains elusive and current diagnostic strategies do not provide localization of pH alterations. We sought to explore if PET imaging using hydrophobic cyclic peptides that partition into the cellular membrane at low extracellular pH (denoted as "pHLIC") can permit accurate in vivo visualization of acidosis. Methods: Acid-sensitive cyclic peptide c[E4W5C] pHLIC was conjugated to bifunctional maleimide-NO2A and radiolabeled with copper-64 (t1/2 = 12.7 h). C57BL/6J mice were administered LPS (15 mg/kg) or saline (vehicle) and serially imaged with [⁶⁴Cu]Cu-c[E4W5C] over 24 h. Ex vivo autoradiography was performed on resected brain slices and subsequently stained with cresyl violet to enable high-resolution spatial analysis of tracer accumulation. A non- pH-sensitive cell-penetrating control peptide (c[R4W5C]) was used to confirm specificity of [⁶⁴Cu]Cu-c[E4W5C]. CD11b (macrophage/microglia) and TMEM119 (microglia) immunostaining was performed to correlate extent of neuroinflammation with [⁶⁴Cu]Cu-c[E4W5C] PET signal. Results: [⁶⁴Cu]Cu-c[E4W5C] radiochemical yield and purity was >95% and >99% respectively, with molar activity >0.925 MBq/nmol. Significantly increased [⁶⁴Cu]Cu-c[E4W5C] uptake was observed in LPS-treated mice (vs. vehicle) within peripheral tissues including blood, lungs, liver, and small intestines (P < 0.001-0.05). Additionally, there was significantly increased [⁶⁴Cu]Cu-c[E4W5C] uptake in the brains of LPS-treated animals. Autoradiography confirmed increased uptake in the cerebellum, cortex, hippocampus, striatum, and hypothalamus of LPS-treated mice (vs. vehicle). Immunohistochemical (IHC) analysis revealed microglial/macrophage infiltrate, suggesting activation in brain regions containing increased tracer uptake. [⁶⁴Cu]Cu-c[R4W5C] demonstrated significantly reduced uptake in the brain and periphery of LPS mice compared to the acid-mediated [⁶⁴Cu]Cu-c[E4W5C] tracer. Conclusion: Here, we demonstrate that a pH-sensitive PET tracer specifically detects acidosis in regions associated with sepsis-driven pro-inflammatory responses. This study suggests that [⁶⁴Cu]Cu-pHLIC is a valuable tool to noninvasively assess acidosis associated with both central and peripheral innate immune activation.

Rationale: The effects of tobacco smoking on the brain’s immune system are not well elucidated. While nicotine is immunosuppressive, other constituents in tobacco smoke have inflammatory effects. Positron Emission Tomography (PET) imaging of the 18-kDa translocator protein (TSPO) provide a biomarker for microglia, the brain’s primary immunocompetent cells. This work compared brain TSPO levels in 20 tobacco smokers (abstinent for at least 2 hours) and 20 nonsmokers using a fully quantitative modeling approach for the first time. Methods: [¹¹C]PBR28 PET scans were acquired with arterial blood sampling to estimate the metabolite-corrected input function. [¹¹C]PBR28 volumes of distribution (V_T) were estimated throughout the brain with multilinear analysis. Results: Statistical analyses revealed no evidence for significant differences in regional [¹¹C]PBR28 V_T between smokers and non-smokers (whole-brain Cohen’s d=0.09) despite adequate power to detect medium effect sizes. Conclusion: These findings inform previous PET studies reporting lower TSPO radiotracer concentrations in brain (measured as standardized uptake value, SUV) of tobacco smokers compared to nonsmokers by demonstrating the importance of accounting for radiotracer concentrations in plasma. These findings suggest that compared to nonsmokers, smokers have comparable TSPO levels in brain. Additional work with other biomarkers is needed to fully characterize effects of tobacco smoking on the brain’s immune system.

Introduction: To use positron emission tomography coupled with computed tomography (¹⁸FDG-PET/CT) to identify a high-risk subgroup requiring therapeutic intensification among patients with locally advanced cervical cancer (LACC) and para-aortic lymph node (PALN) involvement. Methods: In this retrospective multicentric study, patients with LACC and PALN involvement concurrently treated with chemoradiotherapy and extended-field radiotherapy (EFR) between 2006 and 2016 were included. A senior nuclear medicine specialist in PET for gynaecologic oncology reviewed all ¹⁸FDG-PET/CT scans. Metabolic parameters including maximum standardised uptake value (SUV_max), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were determined for the primary tumour, pelvic lymph nodes and PALN. Associations between these parameters and overall survival (OS) were assessed with Cox's proportional hazards model. Results: Sixty-eight patients were enrolled in the study. Three-year OS was 55.5% (95% CI (40.8-68.0)). When adjusted for age, stage and histology, pelvic lymph node TLG, PALN TLG and PALN SUV_max were significantly associated with OS (p<0.005). Conclusion: FDG-PET/CT was able to identify predictors of survival in the homogeneous subgroup of patients with LACC and PALN involvement, thus allowing therapeutic intensification to be proposed.

Respiratory gating is the standard to overcome respiration effects degrading image quality in positron emission tomography (PET). Data-driven gating (DDG) using signals derived from PET raw data are promising alternatives to gating approaches requiring additional hardware. However, continuous bed motion (CBM) scans require dedicated DDG approaches for axially-extended PET, compared to DDG for conventional step-and-shoot scans. In this study, a CBM-capable DDG algorithm was investigated in a clinical cohort, comparing it to hardware-based gating using gated and fully motion-corrected reconstructions. Methods: 56 patients with suspected malignancies in thorax or abdomen underwent whole-body ¹⁸F-FDG CBM-PET/CT imaging using DDG and hardware-based respiratory gating (pressure-sensitive belt gating, BG). Correlation analyses were performed on both gating signals. Besides static reconstructions, BG and DDG were used for optimally-gated PET (BG-OG, DDG-OG) and fully motion-corrected PET (elastic motion correction; BG-EMOCO, DDG-EMOCO). Metabolic volumes, SUV_max and SUVmean of lesions were compared amongst the reconstructions. Additionally, the quality of lesion delineation in different PET reconstructions was independently evaluated by three experts. Results: Global correlation coefficients between BG and DDG signals amounted to 0.48±0.11, peaking at 0.89±0.07 when scanning the kidney and liver region. In total, 196 lesions were analyzed. SUV measurements were significantly higher in BG-OG, DDG-OG, BG-EMOCO and DDG-EMOCO compared to static images (P<0.001; median SUV_max: static, 14.3±13.4; BG-EMOCO, 19.8±15.7; DDG-EMOCO, 20.5±15.6; BG-OG, 19.6±17.1; DDG-OG, 18.9±16.6). No significant differences between BG-OG and DDG-OG, and BG-EMOCO and DDG-EMOCO, respectively, were found. Visual lesion delineation was significantly better in BG-EMOCO and DDG-EMOCO than in static reconstructions (P<0.001); no significant difference was found comparing BG and DDG (EMOCO, OG, respectively). Conclusion: DDG-based motion-compensation of CBM-PET acquisitions outperforms static reconstructions, delivering qualities comparable to hardware-based approaches. The new algorithm may be a valuable alternative for CBM-PET systems.

We developed a first-of-kind dasatinib-derivative imaging agent, ¹⁸F-SKI-249380 (¹⁸F-SKI), and validated its use for noninvasive in vivo tyrosine kinase-targeted tumor detection in preclinical models. In this study, we assess the feasibility of using ¹⁸F-SKI for PET imaging in patients with malignancies. Methods: Five patients with a prior diagnosis of breast cancer, renal cell cancer, or leukemia underwent whole-body PET/CT imaging 90 min post-injection of ¹⁸F-SKI (mean: 241.24 ± 116.36 MBq) as part of a prospective study. In addition, patients underwent either a 30-min dynamic scan of the upper abdomen including, at least partly, cardiac left ventricle, liver, spleen, and kidney (n = 2) or three 10-min whole-body PET/CT scans (n = 3) immediately post-injection and blood-based radioactivity measurements to determine the time course of tracer distribution and facilitate radiation dose estimates. A subset of three patients had a delayed whole-body PET/CT scan at 180 min. Biodistribution, dosimetry, and tumor uptake were quantified. Absorbed doses were calculated using OLINDA/EXM 1.0. Results: No adverse events occurred after injection of ¹⁸F-SKI. A total of 27 tumor lesions were analyzed with median SUVpeak 1.4 (range, 0.7–2.3) and tumor-to-blood ratios of 1.6 (range, 0.8–2.5) at 90 min post-injection. Intratumoral drug concentrations calculated for four reference lesions ranged from 0.03–0.07 nM. In all reference lesions, constant tracer accumulation was observed between 30–90 min post-injection. Blood radio-assay indicated that radiotracer clearance from blood and plasma was initially rapid (blood half-time 1.31 ± 0.81 min, plasma 1.07 ± 0.66 min; n = 4), followed variably by either a prolonged terminal phase (blood half-time 285 ± 148.49 min, plasma 240 ± 84.85 min; n = 2) or a small rise to plateau (n = 2). Like dasatinib, ¹⁸F-SKI underwent extensive metabolism post-administration, as evidenced by metabolite analysis. Radioactivity was predominantly cleared via the hepatobiliary route. The highest absorbed dose estimates (mGy/MBq) in normal tissues were to the right colon (0.167 ± 0.04) and small intestine (0.153 ± 0.03). The effective dose was 0.0258 (SD 0.0034) mSv/MBq. Conclusion: ¹⁸F-SKI demonstrated significant tumor uptake, distinct image contrast despite low injected doses, and rapid clearance from blood.

We reviewed ¹¹¹In-DOTA-anti-CD45 antibody (BC8) imaging and bone marrow biopsy measurements to ascertain biodistribution and biokinetics of the radiolabeled antibody and to investigate differences based on type of hematologic malignancy. Methods: Serial whole-body scintigraphic images (4 time-points) were obtained after infusion of the ¹¹¹In-DOTA-BC8 (176-406 MBq) in 52 adult patients with hematologic malignancies (lymphoma, multiple myeloma, acute myeloid leukemia and myelodysplastic syndrome). Counts were obtained for the regions of interest for spleen, liver, kidneys, testicles (in males), and two marrow sites (acetabulum and sacrum) and correction for attenuation and background was made. Bone marrow biopsies were obtained 14-24 hours post-infusion and percent of administered activity was determined. Radiation absorbed doses were calculated. Results: Initial uptake in liver averaged 32% ± 8.4% (S.D.) of administered activity (52 patients), which cleared monoexponentially with biological half-time of 293 ± 157 hours (33 patients) or did not clear (19 patients). Initial uptake in spleen averaged 22% ± 12% and cleared with a biological half-time 271 ± 185 hours (36 patients) or longer (6 patients). Initial uptake in kidney averaged 2.4% ± 2.0% and cleared with a biological half-time of 243 ± 144 hours (27 patients) or longer (9 patients). Initial uptake in red marrow averaged 23% ± 11% and cleared with half-times of 215 ± 107 hours (43 patients) or longer (5 patients). Whole-body retention half-times averaged 198 ± 75 hours. Splenic uptake was higher in the AML/MDS group when compared to the lymphoma group (p ≤ 0.05) and to the multiple myeloma group (p ≤ 0.10). Liver represented the dose-limiting organ. For liver uptake, no significant differences were observed between the three malignancy groups. Average calculated radiation absorbed doses per unit administered activity for a therapy infusions of ⁹⁰Y-DOTA-BC8 were for red marrow: 470 ± 260 cGy/MBq, liver 1100 ± 330 cGy/MBq, spleen 4120 ± 1950 cGy/MBq, total body 7520 ± 20 cGy/MBq, osteogenic cells 290 ± 200 cGy/MBq, and kidneys 240 ± 200 cGy/MBqR. Conclusion: ¹¹¹In-DOTA-BC8 had long retention time in liver, spleen, kidneys, and red marrow, and the highest absorbed doses were calculated for spleen and liver. Few differences were observed by malignancy type. The exception was greater splenic uptake among leukemia/MDS group when compared to lymphoma and multiple myeloma groups.

Objectives: The study compared the diagnostic performance of Planar Ventilation/perfusion (V/Q) and V/Q Single-photon computed tomography (SPECT), and determined whether combining perfusion scanning with low-dose computed tomography (Q-LDCT) may be equally effective in a prospective study of patients with chronic thromboembolic pulmonary hypertension (CTEPH) patients. Background: V/Q scanning is recommended for excluding CTEPH during the diagnosis of pulmonary hypertension (PH). However, Planar V/Q and V/Q SPECT techniques have yet to be compared in patients with CTEPH. Methods: Patients with suspected PH were eligible for the study. PH attributable to left heart disease or lung disease was excluded, and patients whose PH was confirmed by right heart catheterization and who completed Planar V/Q, V/Q-SPECT, Q-LDCT, and pulmonary angiography were included. V/Q images were interpreted and patients were diagnosed as instructed by the 2009 EANM guidelines, and pulmonary angiography analyses were used as a reference standard. Results: A total of 208 patients completed the study, including 69 with CTEPH confirmed by pulmonary angiography. Planar V/Q, V/Q-SPECT, and Q-LDCT were all highly effective for diagnosing CTEPH, with no significant differences in sensitivity or specificity observed among the three techniques (Planar V/Q [sensitivity/specificity]: 94.20%/92.81%; V/Q-SPECT: 97.10%/91.37%, Q-LCDT: 95.65%/90.65%). However, V/Q-SPECT was significantly more sensitive (V/Q-SPECT: 79.21%; Planar V/Q: 75.84%, P = 0.012; Q-LDCT: 74.91%, p<0.001), and Planar V/Q was significantly more specific (Planar V/Q: 54.14%; V/Q-SPECT 46.05%, p<0.001; Q-LDCT: 46.05%, P = 0.001) than the other two techniques for identifying perfusion defects in individual lung segments. Conclusion: Both Planar V/Q and V/Q-SPECT were highly effective for diagnosing CTEPH, and Q-LDCT may be a reliable alternative method for patients who are unsuitable for ventilation imaging.

Rationale: Neuroinflammation has been implicated in Amyotrophic Lateral Sclerosis (ALS) and can be visualized using translocator protein (TSPO) radioligands. To become a reliable pharmacodynamic biomarker for ALS multicenter trials, some challenges have to be overcome. We aimed to investigate whether multicenter data pooling of different TSPO tracers (¹¹C-PBR28 and ¹⁸F-DPA714) is feasible, after validation of an established ¹¹C-PBR28 PET pseudoreference analysis technique for ¹⁸F-DPA714. Methods: 7 ALS-Belgium (58.9±6.7 years,5M) and 8 HV-Belgium (52.1±15.2 years,3M); and 7 ALS-US (53.4±9.8 years,5M) and 7 HV-US (54.6±9.6 years,4M) from a previously published study (1) underwent dynamic ¹⁸F-DPA714 (Leuven, Belgium) or ¹¹C-PBR28 (Boston, US) PET-MR scans. For ¹⁸F-DPA714, volume of distribution (VT) maps were compared to standardized uptake value ratios (SUVR)40-60 calculated using the pseudoreference regions (1)cerebellum, (2)occipital cortex, and (3)whole brain without ventricles (WB-ventricles). Also for ¹¹C-PBR28, SUVR60-90 using WB-ventricles were calculated. Results: In line with previous studies, increased ¹⁸F-DPA714 uptake (17.0±5.6%) in primary motor cortices was observed in ALS, as measured by both VT and SUVR40-60 approaches. Highest sensitivity was found for SUVRWB-ventricles (average cluster 21.6±0.1%). ¹⁸F-DPA714 VT ratio and SUVR40-60 results were highly correlated (r>0.8, p<0.001). A similar pattern of increased uptake (average cluster 20.5±0.5%) in primary motor cortices was observed in ALS with ¹¹C-PBR28 using the SUVRWB-ventricles. Analysis of the ¹⁸F-DPA714 and ¹¹C-PBR28 data together, resulted in a more extensive pattern of significant increased glial activation in the bilateral primary motor cortices. Conclusion: The same pseudoreference region analysis technique for ¹¹C-PBR28 PET imaging can be extended towards ¹⁸F-DPA714 PET. Therefore, in ALS, standardized analysis across these two tracers enables pooling of TSPO PET data across multiple centers and increase power of TSPO as biomarker for future therapeutic trials.

C-X-C chemokine receptor 4 is a transmembrane chemokine receptor involved in growth, survival, and dissemination of cancer, including aggressive B-cell lymphoma. Magnetic resonance imaging (MRI) is the standard imaging technology for central nervous system involvement of B-cell lymphoma and provides high sensitivity but moderate specificity. Therefore, novel molecular and functional imaging strategies are urgently required. Methods: In this proof-of-concept study, 11 patients with lymphoma of the CNS (CNSL, n = 8 primary and n = 3 secondary involvement) were imaged with the CXCR4-directed positron emission tomography (PET) tracer ⁶⁸Ga-Pentixafor. To evaluate the predictive value of this imaging modality, treatment response, as determined by MRI, was correlated with quantification of CXCR4 expression by ⁶⁸Ga-Pentixafor PET in vivo before initiation of treatment in 7 of 11 patients. Results: ⁶⁸Ga-Pentixafor-PET showed excellent contrast characteristics to the surrounding brain parenchyma in all patients with active disease. Furthermore, initial CXCR4 uptake determined by PET correlated with subsequent treatment response as assessed by MRI. Conclusion: ⁶⁸Ga-Pentixafor-PET represents a novel diagnostic tool for central nervous system lymphoma with potential implications for theranostic approaches as well as response and risk assessment.

Prostate specific membrane antigen (PSMA) targeting Positron Emission Tomography (PET) imaging is becoming the reference standard for prostate cancer (PC) staging, especially in advanced disease. Yet, the implications of PSMA-PET derived whole-body tumor volume for overall survival are poorly elucidated to date. This might be due to the fact that (semi-) automated quantification of whole-body tumor volume as PSMA-PET biomarker is an unmet clinical challenge. Therefore, a novel semi-automated software is proposed and evaluated by the present study, which enables the semi-automated quantification of PSMA-PET biomarkers such as whole-body tumor volume. Methods: The proposed quantification is implemented as a research prototype (MI Whole Body Analysis Suite, v1.0, Siemens Medical Solutions USA, Inc., Knoxville, TN). PSMA accumulating foci were automatically segmented by a percental threshold (50% of local SUV_max). Neural networks were trained to segment organs in PET-CT acquisitions (training CTs: 8,632, validation CTs: 53). Thereby, PSMA foci within organs of physiologic PSMA uptake were semi-automatically excluded from the analysis. Pretherapeutic PSMA-PET-CTs of 40 consecutive patients treated with ¹⁷⁷Lu-PSMA-617 therapy were evaluated in this analysis. The volumetric whole-body tumor volume (PSMATV50), SUV_max, SUVmean and other whole-body imaging biomarkers were calculated for each patient. Semi-automatically derived results were compared with manual readings in a sub-cohort (by one nuclear medicine physician using syngo.MM Oncology software, Siemens Healthineers, Knoxville, TN). Additionally, an inter-observer evaluation of the semi-automated approach was performed in a sub-cohort (by two nuclear medicine physicians). Results: Manually and semi automatically derived PSMA metrics were highly correlated (PSMATV50: R2=1.000; p<0.001; SUV_max: R2=0.988; p<0.001). The inter-observer agreement of the semi-automated workflow was also high (PSMATV50: R2=1.000; p<0.001; ICC=1.000; SUV_max: R2=0.988; p<0.001; ICC=0.997). PSMATV50 [ml] was a significant predictor of overall survival (HR: 1.004; 95%CI: 1.001-1.006, P = 0.002) and remained so in a multivariate regression including other biomarkers (HR: 1.004; 95%CI: 1.001-1.006 P = 0.004). Conclusion: PSMATV50 is a promising PSMA-PET biomarker that is reproducible and easily quantified by the proposed semi-automated software. Moreover, PSMATV50 is a significant predictor of overall survival in patients with advanced prostate cancer that receive ¹⁷⁷Lu-PSMA-617 therapy.

Purpose: We aimed to conduct a systematic review and meta-analysis of studies reporting the performance of radioactive iodine therapy (131-I therapy) in differentiating thyroid cancer (DTC) patients requiring a completion treatment following lobectomy. We also evaluated the response to 131-I therapy according to 2015ATA guidelines and the adverse events. Methods: A specific search strategy was designed to find articles evaluating the use of I-131 in patients with evidence of DTC after lobectomy. PubMed, CENTRAL, Scopus and Web of Science were searched. The search was updated until January 2020, without language restriction. Data were cross-checked and any discrepancy discussed. A proportion meta-analysis (with 95%CI) was performed using the random-effects model. Meta-regressions on I-131 success were attempted. Results: The pooled success ablation rate was 69% with better results in patients receiving a single administration of about 3.7 GBq; high heterogeneity was found (I2 85%), and publication bias was absent (Egger test: P = 0.57). Incomplete structural responses were recorded in only 14 of 695 (2%) patients enrolled in our analysis. Incomplete biochemical responses were observed in 8 to 24% of patients, with higher rates (24%) in patients receiving low radioiodine activities (~1.1 GBq) and lower rates (from 8 to 18%) in patients receiving higher activities of radioiodine (~3.7 Gbq). Neck pain due to thyroiditis was reported in up to 18% of patients but, in most cases, symptoms resolved after oral paracetamol or a short course of prednisone. Conclusion: Lobar ablation with 131-I is effective especially when high ¹³¹I activities are used. However, the rate of incomplete biochemical response to initial treatment appears to be slightly higher than the classical scheme of initial treatment of DTC. "Radioisotopic lobectomy" should be considered for patients with low-to-intermediate risk DTC requiring completion treatment after lobectomy due to specific individual risk factors and/or patient’s preferences.

Background: Functional magnetic resonance imaging (fMRI) studies have reported altered integrity of large-scale neurocognitive networks (NCNs) in dementing disorders. However, findings on specificity of these alterations in patients with Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are still very limited. Recently, NCNs have been successfully captured using positron emission tomography (PET) with F18-fluordesoxyglucose (FDG). Methods: Network integrity was measured in 72 individuals (38 male) with mild AD, bvFTD, and healthy controls using a simultaneous resting state fMRI and FDG-PET. Indices of network integrity were calculated for each subject, network, and imaging modality. Results: In either modality, independent component analysis revealed four major NCNs: anterior default mode network (DMN), posterior DMN, salience network, and right central executive network (CEN). In fMRI data, integrity of posterior DMN was found to be significantly reduced in both patient groups relative to controls. In the AD group anterior DMN and CEN appeared to be additionally affected. In PET data, only integrity of posterior DMN in patients with AD was reduced, while three remaining networks appeared to be affected only in patients with bvFTD. In a logistic regression analysis, integrity of anterior DMN as measured with PET alone accurately differentiated between the patient groups. A correlation between indices of two imaging modalities was overall low. Conclusion: FMRI and FDG-PET capture partly different aspects of network integrity. A higher disease specificity of NCNs as derived from PET data supports metabolic connectivity imaging as a promising diagnostic tool.

In randomized clinical trials (RCTs), no survival benefit has been observed for selective internal radiotherapy (SIRT) over sorafenib in patients with advanced hepatocellular carcinoma (aHCC). This study aimed to assess by means of a meta-analysis whether overall survival (OS) with SIRT, as monotherapy or followed by sorafenib, is non-inferior to sorafenib, and compare safety profiles for patients with aHCC. Methods: We searched MEDLINE, EMBASE, and the Cochrane Library up to February 2019 to identify RCTs comparing SIRT as monotherapy, or followed by sorafenib, to sorafenib monotherapy among patients with aHCC. The main outcomes were OS and frequency of treatment-related severe adverse events (AEs grade ≥3). The per-protocol population was the primary analysis population. A non-inferiority margin of 1.08 in terms of hazard ratio (HR) was pre-specified for the upper boundary of 95% confidence interval (CI) for OS. Pre-specified subgroup analyses were performed. Results: Three RCTs, involving 1,243 patients, comparing sorafenib with SIRT (SIRveNIB and SARAH) or SIRT followed by sorafenib (SORAMIC), were included. After randomization, 411/635 (64.7%) patients allocated to SIRT and 522/608 (85.8%) allocated to sorafenib completed the studies without major protocol deviations. Median OS with SIRT, whether or not followed by sorafenib, was non-inferior to sorafenib (10.2 and 9.2 months, [HR 0.91, 95% CI 0.78–1.05]). Treatment-related severe adverse events were reported in 149/515 patients (28.9%) who received SIRT and 249/575 (43.3%) who received sorafenib only (p<0.01). Conclusion: SIRT as initial therapy for aHCC is non-inferior to sorafenib in terms of OS, and offers a better safety profile.

Introduction: Prostate-specific membrane antigen ligand positron emission tomography (PSMA PET) induces management changes in patients with prostate cancer. We aim to better characterize the impact of PSMA PET on management of recurrent prostate cancer in a large prospective cohort. Methods: We report management changes following PSMA PET, a secondary endpoint of a prospective multicenter trial in men with prostate cancer biochemical recurrence. Pre-PET (Q1), Post-PET (Q2) and Post-Treatment (Q3) questionnaires were sent to referring physicians recording site of recurrence, intended (Q1 to Q2 change) and implemented (Q3) therapeutic and diagnostic management. Results: Q1/Q2 response was collected for 382/635 (60%, intended cohort), Q1/Q2/Q3 for 206 patients (32%, implemented cohort). Intended management change (Q1/2) occurred in 260/382 (68%) patients. Intended change (Q1/2) was considered major in 176/382 (46%) patients. Major changes occurred most often for patients with PSA of 0.5 to <2.0 ng/mL (81/147, 55%). By analysis of stage-groups, management change was consistent with PET disease location, i.e. majority of major changes towards active surveillance (47%) for unknown disease site (103/382, 27%), towards local/focal therapy (56%) for locoregional disease (126/382, 33%), and towards systemic therapy (69% M1a; 43% M1b/c) for metastatic disease (153/382, 40%). According to Q3 responses, intended management was implemented in 160/206 (78%) patients. A total of 150 intended diagnostic tests, mostly CT (n = 43, 29%) and bone Scans/NaF-PET (n = 52, 35%), were prevented by PSMA PET; 73 tests, mostly biopsies (n = 44, 60%) as requested by the study protocol, were triggered (Q1/2). Conclusion: According to referring physicians, sites of recurrence were clarified by PSMA PET and disease localization translated into management changes in more than half of patients with biochemical recurrence of prostate cancer.

Background: The management for totally thyroidectomized differentiated thyroid cancer (TT-DTC) patients with unexplained hyperthyroglobulinemia remains indeterminate due to evidence scarcity. This multicenter study aimed at prospectively evaluating the response to radioiodine (¹³¹I) adjuvant therapy (RAT) and its potential role in risk stratification and causal clarification. Methods: TT-DTC patients with stimulated serum thyroglobulin (Tgoff) levels > 10 ng/mL but no structurally evident disease were consecutively enrolled in five tertiary care institutions. After the administration of 5.55 GBq of ¹³¹I, the risk of presence of persistent/recurrent/metastatic DTC (prmDTC) was compared to that before RAT. The causes of hyperthyroglobulinemia were explored and the response to RAT was assessed 6-12 months post RAT. The change in suppressed thyroglobulin (Tgon) level was reported. Results: A cohort of 254 subjects with a median Tgoff of 27.1 ng/mL was enrolled for the analyses. Immediately after RAT, low-, intermediate-, and high-risk were identified in 5.9%, 88.6%, and 5.5% patients, respectively, with no significant difference in risk stratification compared with that before RAT (P = 0.952). During the follow-up (median, 10.6 months), hyperthyroglobulinemia was ultimately attributed to thyroid remnant, biochemical disease, and structural/functional disease in 17.3%, 54.3%, and 28.3% of subjects, respectively. In addition, excellent, indeterminate, biochemical incomplete, and structural/functional incomplete responses were achieved in 18.1%, 27.2%, 36.2%, and 18.5% of patients, respectively. Notably, distribution for either cause of hyperthyroglobulinemia or response to RAT was comparable among the three postoperative risk groups. Tgon levels in patients who merely received RAT declined significantly over time. Conclusion: Our study demonstrated that over 90% of TT-DTC patients with unexplained hyperthyroglobulinemia are stratified as intermediate-high risk, and RAT using 5.55 GBq of ¹³¹I reveals biochemical/functional/structural disease and yields non-structural/functional incomplete response in more than 80% patients, suggesting TT-DTC patients with unexplained hyperthyroglobulinemia as explicit candidates for RAT.

Rationale: To conduct a retrospective study comparing three ¹²³I-FP-CIT-SPECT quantitative methods in patients with neurodegenerative syndromes as referenced to neuropathological findings. Methods: ¹²³I-FP-CIT-SPECT and neuropathological findings among patients with neurodegenerative syndromes from the Mayo Alzheimer's Disease Research Center and Mayo Clinic Study of Aging were examined. Three ¹²³I-FP-CIT-SPECT quantitative assessment Methods: MIMneuro (MIM Software Inc.), DaTQUANT (GE Healthcare), and manual region of interest (ROI) creation on an Advantage Workstation (GE Healthcare) were compared to neuropathological findings describing the presence or absence of Lewy body disease (LBD). Striatum to background ratios (SBRs) generated by DaTQUANT were compared to the calculated SBRs of the manual method and MIMneuro. The left and right SBRs for caudate, putamen and striatum were evaluated with the manual method. For DaTQUANT and MIMneuro the left, right, total and average SBRs and z-scores for whole striatum, caudate, putamen, anterior putamen, and posterior putamen were calculated. Results: The cohort included 24 patients [20 (83%) male, aged 75.4 +/- 10.0 at death]. The antemortem clinical diagnoses were Alzheimer’s disease dementia (ADem, N = 6), probable dementia with Lewy bodies (pDLB, N = 12), mixed ADem/pDLB (N = 1), Parkinson’s disease with mild cognitive impairment (N = 2), corticobasal syndrome (N = 1), idiopathic rapid eye movement sleep behavior disorder (iRBD) (N = 1) and behavioral variant frontotemporal dementia (N = 1). Seventeen (71%) had LBD pathology. All three ¹²³I-FP-CIT-SPECT quantitative methods had area under the receiver operating characteristics (AUROC) values above 0.93 and up to 1.000 (p<0.001) and showed excellent discrimination between LBD and non-LBD patients in each region assessed, p<.001. There was no significant difference between the accuracy of the regions in discriminating the two groups, with good discrimination for both caudate and putamen. Conclusion: All three ¹²³I-FP-CIT-SPECT quantitative methods showed excellent discrimination between LBD and non-LBD patients in each region assessed, using both SBRs and z-scores.

Cerebral β-amyloid deposits and regional glucose metabolism assessed by positron emission tomography (PET) are used to distinguish between Alzheimer's disease (AD) and other dementia syndromes. In the present multicenter study, we estimated the prevalence of β-amyloid deposits on PET imaging in a wide variety of dementia syndromes and mild cognitive impairment (MCI) within a memory clinic population. Methods: Of the 1193 consecutive patients with cognitive impairment (CI) who received combined ¹⁸F-AV45 and/or ¹¹C-PIB PET, 960 were diagnosed with AD, 36 with frontotemporal dementia (FTD), 5 with dementia with Lewy bodies (DLB), 144 with MCI, 29with vascular dementia (VaD), 4 with corticobasal syndrome (CBS) and 15 with unclassifiable dementia. Baseline clinical diagnoses were independently established without access to PET imaging results. ApoE genotype analysis was performed in CI patients and 231 gender- and age-matched controls. Results: Of the 1193 CI patients, 860 (72.1%) were amyloid-positive. The prevalence of amyloid positivity in AD and MCI patients was 86.8% (833/960) and 9.7% (14/144), respectively. In FTD patients, the prevalence of β-amyloid deposits was 5.6% (2/36). In the 4 CBS patients, two were amyloid-positive. Three of the 5 DLB patients showed amyloid positivity, as did 6 of the 29 VaD (20.7%) patients. The ApoE4 allele frequency was significantly increased in amyloid-positive CI patients (30.5%) as compared with other amyloid-negative CI patients (14%) or controls (7.3%). Conclusion: Amyloid imaging may potentially be the most helpful parameter for differential diagnosis in dementia, particularly to distinguish between AD and FTD. Amyloid PET can be used in conjunction with the ApoE4 allele genetic risk test for amyloid deposits.

The value of interim ¹⁸F-fluorodeoxyglucose positron emission tomography (iPET) guided treatment decisions in patients with diffuse large B-cell lymphoma (DLBCL) has been the subject of much debate. This investigation focuses on a comparison of the Deauville score and the deltaSUV_max (SUV_max) approach – two methods to assess early metabolic response to standard chemotherapy in DLBCL. Methods: Of 609 DLBCL patients participating in the Positron Emission Tomography-guided Therapy of Aggressive non-Hodgkin Lymphomas (PETAL) trial, iPET scans of 596 patients originally evaluated using the SUV_max method were available for post-hoc assessment of the Deauville score. A commonly used definition of an unfavorable iPET result according to the Deauville score is an uptake greater than that of the liver, whereas an unfavorable iPET scan with regard to the SUV_max approach is characterized as a relative reduction of the maximum standardized uptake value between baseline and iPET staging of less than or equal to 66%. We investigated the two methods’ correlation and concordance by Spearman’s rank correlation coefficient and the agreement in classification, respectively. We further used Kaplan-Meier curves and Cox regression to assess differences in survival between patient subgroups defined by the pre-specified cut-offs. Time-dependent receiver operating curve analysis provided information on the methods’ respective discrimination performance. Results: Deauville score and SUV_max approach differed in their iPET-based prognosis. The SUV_max approach outperformed the Deauville score in terms of discrimination performance – most likely due to a high number of false-positive decisions by the Deauville score. Cut-off-independent discrimination performance remained low for both methods, but cut-off-related analyses showed promising results. Both favored the SUV_max approach, e.g. for the segregation by iPET response, where the event-free survival hazard ratio was 3.14 (95% confidence interval (CI): 2.22 – 4.46) for SUV_max and 1.70 (95% CI: 1.29 – 2.24) for the Deauville score. Conclusion: When considering treatment intensification, the currently used Deauville score cut-off of an uptake above that of the liver seems to be inappropriate and associated with potential harm for DLBCL patients. The SUV_max criterion of a relative reduction of the maximum standardized uptake value of less than or equal to 66% should be considered as an alternative.

Research Event

Event participants

Professor Stig Jarle Hansen, Professor, Norwegian University of Life Sciences; Author, Horn, Sahel and Rift: Fault-lines of the African Jihad
Bulama Bukarti, PhD Candidate, SOAS, University of London; Analyst, Tony Blair Institute for Global Change
Chair: Aoife McCullough, PhD Candidate, LSE

Invitation Only Research Event

Event participants

Ambassador Mohamed Ali Guyo, IGAD Special Envoy for the Red Sea, Gulf of Aden and Somalia
Julian Reilly, UK Special Envoy for the Red Sea and Horn of Africa
Parfait Onanga-Anyanga, United Nations Special Envoy for the Horn of Africa
Alexander Rondos, EU Special Representative for the Horn of Africa
Chair: Susan Stigant, Director of Africa Programs, United States Institute of Peace

17 December 2019

Research Event

Research Event

Event participants

HE Nabil Ben Khedher, Ambassador of Tunisia to the United Kingdom
Professor Naohiro Kitano, Visiting Fellow, Japan International Cooperation Agency Research Institute (JICA-RI); Professor, Waseda University
Taku Miyazaki, Deputy Director General, Japan External Trade Organisation (JETRO) London
Serge Mouangue, Founder and Art Director, WAfrica
Norio Suzuki, Senior Strategist, BBOXX
HE Professor Mohammed Gana Yisa, Ambassador of the Federal Republic of Nigeria to Japan; Chairman, African Diplomatic Corps in Tokyo (ADC) TICAD Committee

Chairs:
Dr Champa Patel, Director, Asia-Pacific Programme, Chatham House
Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme

Research Event

Event participants

Dr Hafez Ghanem, Vice President for Africa, World Bank
Chair: Elizabeth Donnelly, Deputy Director, Africa Programme, Chatham House

Research Event

Event participants

Research Event

Event participants

Leukocyte recruitment is a universal feature of tissue inflammation and regulated by the interactions of chemokines with their G protein–coupled receptors. Activation of CC chemokine receptor 2 (CCR2) by its cognate chemokine ligands, including CC chemokine ligand 2 (CCL2), plays a central role in recruitment of monocytes in several inflammatory diseases. In this study, we used phosphoproteomics to conduct an unbiased characterization of the signaling network resulting from CCL2 activation of CCR2. Using data-independent acquisition MS analysis, we quantified both the proteome and phosphoproteome in FlpIn-HEK293T cells stably expressing CCR2 at six time points after activation with CCL2. Differential expression analysis identified 699 significantly regulated phosphorylation sites on 441 proteins. As expected, many of these proteins are known to participate in canonical signal transduction pathways and in the regulation of actin cytoskeleton dynamics, including numerous guanine nucleotide exchange factors and GTPase-activating proteins. Moreover, we identified regulated phosphorylation sites in numerous proteins that function in the nucleus, including several constituents of the nuclear pore complex. The results of this study provide an unprecedented level of detail of CCR2 signaling and identify potential targets for regulation of CCR2 function.

Mass spectrometry (MS) and proteomics offer comprehensive characterization and identification of microorganisms and discovery of protein biomarkers that are applicable for diagnostics of infectious diseases. The use of biomarkers for diagnostics is widely applied in the clinic and the use of peptide biomarkers is increasingly being investigated for applications in the clinical laboratory. Respiratory-tract infections are a predominant cause for medical treatment, although, clinical assessments and standard clinical laboratory protocols are time-consuming and often inadequate for reliable diagnoses. Novel methods, preferably applied directly to clinical samples, excluding cultivation steps, are needed to improve diagnostics of infectious diseases, provide adequate treatment and reduce the use of antibiotics and associated development of antibiotic resistance. This study applied nano-liquid chromatography (LC) coupled with tandem MS, with a bioinformatics pipeline and an in-house database of curated high-quality reference genome sequences to identify species-unique peptides as potential biomarkers for four bacterial pathogens commonly found in respiratory tract infections (RTIs): Staphylococcus aureus; Moraxella catarrhalis; Haemophilus influenzae and Streptococcus pneumoniae. The species-unique peptides were initially identified in pure cultures of bacterial reference strains, reflecting the genomic variation in the four species and, furthermore, in clinical respiratory tract samples, without prior cultivation, elucidating proteins expressed in clinical conditions of infection. For each of the four bacterial pathogens, the peptide biomarker candidates most predominantly found in clinical samples, are presented. Data are available via ProteomeXchange with identifier PXD014522. As proof-of-principle, the most promising species-unique peptides were applied in targeted tandem MS-analyses of clinical samples and their relevance for identifications of the pathogens, i.e. proteotyping, was validated, thus demonstrating their potential as peptide biomarker candidates for diagnostics of infectious diseases.

The prediction of metastatic properties from molecular analyses still poses a major challenge. Here we aimed at the classification of metastasis-related cell properties by proteome profiling making use of cutaneous and brain-metastasizing variants from single melanomas sharing the same genetic ancestry. Previous experiments demonstrated that cultured cells derived from these xenografted variants maintain a stable phenotype associated with a differential metastatic behavior: The brain metastasizing variants produce more spontaneous micro-metastases than the corresponding cutaneous variants. Four corresponding pairs of cutaneous and metastatic cells were obtained from four individual patients, resulting in eight cell-lines presently investigated. Label free proteome profiling revealed significant differences between corresponding pairs of cutaneous and cerebellar metastases from the same patient. Indeed, each brain metastasizing variant expressed several apparently metastasis-associated proteomic alterations as compared with the corresponding cutaneous variant. Among the differentially expressed proteins we identified cell adhesion molecules, immune regulators, epithelial to mesenchymal transition markers, stem cell markers, redox regulators and cytokines. Similar results were observed regarding eicosanoids, considered relevant for metastasis, such as PGE2 and 12-HETE. Multiparametric morphological analysis of cells also revealed no characteristic alterations associated with the cutaneous and brain metastasis variants. However, no correct classification regarding metastatic potential was yet possible with the present data. We thus concluded that molecular profiling is able to classify cells according to known functional categories but is not yet able to predict relevant cell properties emerging from networks consisting of many interconnected molecules. The presently observed broad diversity of molecular patterns, irrespective of restricting to one tumor type and two main classes of metastasis, highlights the important need to develop meta-analysis strategies to predict cell properties from molecular profiling data. Such base knowledge will greatly support future individualized precision medicine approaches.

For more than two decades naturally presented, human leukocyte antigen (HLA)-restricted peptides (immunopeptidome) have been eluted and sequenced using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Since, identified disease-associated HLA ligands have been characterized and evaluated as potential active substances. Treatments based on HLA-presented peptides have shown promising results in clinical application as personalized T cell-based immunotherapy. Peptide vaccination cocktails are produced as investigational medicinal products under GMP conditions. To support clinical trials based on HLA-presented tumor-associated antigens, in this study the sensitive LC-MS/MS HLA class I antigen identification pipeline was fully validated for our technical equipment according to the current US Food and Drug Administration (FDA) and European Medicines Agency (EMA) guidelines.

The immunopeptidomes of JY cells with or without spiked-in, isotope labeled peptides, of peripheral blood mononuclear cells of healthy volunteers as well as a chronic lymphocytic leukemia and a bladder cancer sample were reliably identified using a data-dependent acquisition method. As the LC-MS/MS pipeline is used for identification purposes, the validation parameters include accuracy, precision, specificity, limit of detection and robustness.

Dynamic tyrosine phosphorylation is fundamental to a myriad of cellular processes. However, the inherently low abundance of tyrosine phosphorylation in the proteome and the inefficient enrichment of phosphotyrosine(pTyr)-containing peptides has led to poor pTyr peptide identification and quantitation, critically hindering researchers' ability to elucidate signaling pathways regulated by tyrosine phosphorylation in systems where cellular material is limited. The most popular approaches to wide-scale characterization of the tyrosine phosphoproteome use pTyr enrichment with pan-specific, anti-pTyr antibodies from a large amount of starting material. Methods that decrease the amount of starting material and increase the characterization depth of the tyrosine phosphoproteome while maintaining quantitative accuracy and precision would enable the discovery of tyrosine phosphorylation networks in rarer cell populations. To achieve these goals, the BOOST (Broad-spectrum Optimization Of Selective Triggering) method leveraging the multiplexing capability of tandem mass tags (TMT) and the use of pervanadate (PV) boost channels (cells treated with the broad-spectrum tyrosine phosphatase inhibitor PV) selectively increased the relative abundance of pTyr-containing peptides. After PV boost channels facilitated selective fragmentation of pTyr-containing peptides, TMT reporter ions delivered accurate quantitation of each peptide for the experimental samples while the quantitation from PV boost channels was ignored. This method yielded up to 6.3-fold boost in pTyr quantification depth of statistically significant data derived from contrived ratios, compared with TMT without PV boost channels or intensity-based label-free (LF) quantitation while maintaining quantitative accuracy and precision, allowing quantitation of over 2300 unique pTyr peptides from only 1 mg of T cell receptor-stimulated Jurkat T cells. The BOOST strategy can potentially be applied in analyses of other post-translational modifications where treatments that broadly elevate the levels of those modifications across the proteome are available.

We present a technological advancement for the estimation of the affinities of Protein-Protein Interactions (PPIs) in living cells. A novel set of vectors is introduced that enables a quantitative yeast two-hybrid system based on fluorescent fusion proteins. The vectors allow simultaneous quantification of the reaction partners (Bait and Prey) and the reporter at the single-cell level by flow cytometry. We validate the applicability of this system on a small but diverse set of PPIs (eleven protein families from six organisms) with different affinities; the dissociation constants range from 117 pm to 17 μm. After only two hours of reaction, expression of the reporter can be detected even for the weakest PPI. Through a simple gating analysis, it is possible to select only cells with identical expression levels of the reaction partners. As a result of this standardization of expression levels, the mean reporter levels directly reflect the affinities of the studied PPIs. With a set of PPIs with known affinities, it is straightforward to construct an affinity ladder that permits rapid classification of PPIs with thus far unknown affinities. Conventional software can be used for this analysis. To permit automated analysis, we provide a graphical user interface for the Python-based FlowCytometryTools package.