Candidates for prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) of metastatic castration-resistant prostate cancer (mCRPC) frequently have "mismatch" lesions with pronounced 18-fluorodeoxyglucose ([F]FDG) but attenuated PSMA ligand uptake on positron emission tomography (PET). However, no quantitative criteria yet exist to identify mismatch lesions and predict their response to RLT. To define such criteria, we retrospectively analyzed 267 randomly-selected glucometabolic mCRPC metastases from 22 patients. On baseline PET, we determined [F]FDG and [Ga]Ga-PSMA-11 maximum standardized uptake value (SUV), and calculated the [F]FDG SUV/[Ga]Ga-PSMA-11 SUV quotient (FPQ). From follow-up [F]FDG PET after two lutetium-177-PSMA-617 RLT cycles, we evaluated the treatment response and categorized the lesions into three subgroups (partial remission, stable disease, progression) based on change in [F]FDG SUV. Lastly, we compared the baseline PET variables in progressing versus non-progressing lesions. Variables differing significantly, and a score incorporating them, were assessed via receiver operator characteristic (ROC) curve analysis, regarding ability to predict lesional progression, with area under the curve (AUC) as metric. Cut-offs with optimal sensitivity and specificity were determined using the maximum value of Youden's index. Fifty-one of 267 lesions (19.1%) progressed, 102/267 (38.2%) manifested stable disease, and 114/267 (42.7%) partially responded after two RLT cycles. At baseline, median [Ga]Ga-PSMA-11 SUV was significantly lower (p < 0.001), median FPQ significantly higher (p < 0.001), and median [F]FDG SUV similar in progressing versus non-progressing lesions. [Ga]Ga-PSMA-11 SUV and FPQ showed predictive power regarding progression (AUCs: 0.89, 0.90). An introduced clinical score combining both further improved predictive performance (AUC: 0.94). Optimal cut-offs to foretell progression were: [Ga]Ga-PSMA-11 SUV < 11.09 (88.2% sensitivity, 81.9% specificity), FPQ ≥ 0.92 (90.2% sensitivity, 78.7% specificity), clinical score ≥ 6/9 points (88.2% sensitivity, 87.5% specificity). At baseline, a low [ Ga]Ga-PSMA-11 SUV and a high FPQ predict early lesional progression under RLT; [F]FDG SUV does not. A score combining [ Ga]Ga-PSMA-11 SUV and FPQ predicts early lesional progression even more effectively and might therefore be useful to quantitatively identify mismatch lesions.
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http://dx.doi.org/10.1038/s41598-024-61961-z | DOI Listing |
Transl Psychiatry
January 2025
Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Plasma biomarkers have great potential in the screening, diagnosis, and monitoring of Alzheimer's disease (AD). However, findings on their associations with cerebral perfusion and structural changes are inconclusive. We examined both cross-sectional and longitudinal associations between plasma biomarkers and cerebral blood flow (CBF), gray matter (GM) volume, and white matter (WM) integrity.
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Eli Lilly and Company Indianapolis Indiana USA.
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View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology, NYU Grossman School of Medicine, New York, USA.
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View Article and Find Full Text PDFJ Nucl Med
January 2025
Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
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View Article and Find Full Text PDFACS Chem Neurosci
January 2025
Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, Maryland 20892, United States.
Receptor interacting protein kinase 1 (RIPK1) crucially upregulates necroptosis and is a key driver of inflammation. An effective PET radioligand for imaging brain RIPK1 would be useful for further exploring the role of this enzyme in neuroinflammation and for assisting drug discovery. Here, we report our progress on developing a PET radioligand for RIPK1 based on the phenyl-1-dihydropyrazole skeleton of a lead RIPK1 inhibitor, GSK'963.
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