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18F-DCFPyL PET/MRI Radiomics for Intraprostatic Prostate Cancer Detection and Metastases Prediction Using Whole-Gland Segmentation.
Br J Radiol
January 2025
Joint Department of Medical Imaging, University Medical Imaging Toronto (UMIT), University Health Network, Mount Sinai Hospital & Women's College Hospital; University of Toronto, Toronto, ON, Canada.
Objectives: To evaluate 18F-DCFPyL-PET/MRI whole-gland-derived radiomics for detecting clinically significant (cs) prostate cancer (PCa) and predicting metastasis.
Methods: Therapy-naïve PCa patients who underwent 18F-DCFPyL PET/MRI were included. Whole-prostate-segmentation was performed.
A whole-body imaging technique for tumor-specific diagnostics and screening of B7-H3-targeted therapies.
J Clin Invest
January 2025
Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
Background: B7-H3 or CD276 is notably overexpressed in various malignant tumor cells in humans, with extremely high expression rates. The development of a radiotracer that targets B7-H3 may provide a universal tumor-specific imaging agent and allow the noninvasive assessment of the whole-body distribution of B7-H3-expressing lesions.
Methods: We enhanced and optimized the structure of an affibody (ABY) that targets B7-H3 to create the radiolabeled radiotracer [68Ga]Ga-B7H3-BCH, and then, we conducted both foundational experiments and clinical translational studies.
Who is a candidate at the initial presentation? Prediction of positive lateral lymph node and survival after dissection.
Tech Coloproctol
January 2025
Department of Colorectal Surgery, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222 Banpodearo, Seochogu, Seoul, 06591, Korea.
Metastatic lateral pelvic lymph node (LPN) in rectal cancer has a significant clinical impact on the prognosis and treatment strategies. But there are still debates regarding prediction of lateral pelvic lymph node metastasis and its oncological impact. This review explores the evidence for predicting lateral pelvic lymph node metastasis and survival in locally advanced rectal cancer.
View Article and Find Full Text PDFNon-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.
Med Biol Eng Comput
January 2025
Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between image quality and radiation exposure is critical, as reducing the administered dose results in a lower signal-to-noise ratio (SNR) and information loss, which may significantly affect clinical diagnosis. Deep learning (DL) algorithms have recently made significant progress in low-dose (LD) PET reconstruction.
View Article and Find Full Text PDFPrognostic F-flotufolastat PET parameters for outcome assessment of Lu-labeled PSMA-targeted radioligand therapy in metastatic castration-resistant prostate cancer.
Eur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
Purpose: This retrospective analysis evaluates baseline F-flotufolastat positron emission tomography (PET) parameters as prognostic parameters for treatment response and outcome in patients with metastatic castration-resistant prostate cancer (mCRPC) undergoing treatment with [Lu]Lu-PSMA-I&T.
Methods: A total of 188 mCRPC patients with baseline F-flotufolastat PET scans were included. Tumor lesions were semiautomatically delineated, with imaging parameters including volume-based and standardized uptake value (SUV)-based metrics.
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