AIMC Topic: Radioisotopes

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Prognostic Value of AI-Assisted Lesion Tracking on End-of-Treatment PSMA PET in mCRPC Patients Treated with Lu-PSMA: A Retrospective, Single-Center Study.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Nov 3, 2025
This study aimed to explore the prognostic value of the artificial intelligence-assisted lesion tracking applied to prostate-specific membrane antigen (PSMA) PET in patients with metastatic castration-resistant prostate cancer (mCRPC) treated with PS...
Middle Aged Treatment Outcome Prostate-Specific Antigen Radiopharmaceuticals Aged Humans Aged, 80 and over Male Antigens, Surface Artificial Intelligence Glutamate Carboxypeptidase II Prognosis Lutetium Retrospective Studies Heterocyclic Compounds, 1-Ring Positron-Emission Tomography Dipeptides Prostatic Neoplasms, Castration-Resistant Radioisotopes
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Deep Learning for Automated Measures of SUV and Molecular Tumor Volume in [Ga]PSMA-11 or [F]DCFPyL, [F]FDG, and [Lu]Lu-PSMA-617 Imaging with Global Threshold Regional Consensus Network.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Nov 3, 2025
Metastatic castration-resistant prostate cancer has a high rate of mortality with a limited number of effective treatments after hormone therapy. Radiopharmaceutical therapy with [Lu]Lu-prostate-specific membrane antigen-617 (LuPSMA) is one treatment...
Humans Aged Positron Emission Tomography Computed Tomography Prostate-Specific Antigen Dipeptides Tumor Burden Male Deep Learning Consensus Image Processing, Computer-Assisted Gallium Isotopes Lutetium Heterocyclic Compounds, 1-Ring Urea Lysine Radioisotopes Gallium Radioisotopes Automation Fluorodeoxyglucose F18 Oligopeptides
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning.

PloS one Jul 21, 2025
This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emitting radionuclides (241Am, 249Cf, 252Cf, 238Pu, 239Pu, 224Ra, 226Ra, 228Th) on 2,576 dogs, factoring in radioactivity levels, composition, administra...
Radioisotopes Alpha Particles Animals Male Dogs Machine Learning Female
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A Novel Theranostic Strategy for Malignant Pulmonary Nodules by Targeted CECAM6 with Zr/I-Labeled Tinurilimab.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 3, 2025
Lung adenocarcinoma (LUAD) constitutes a major cause of cancer-related fatalities worldwide. Early identification of malignant pulmonary nodules constitutes the most effective approach to reducing the mortality of LUAD. Despite the wide application o...
Zirconium Cell Adhesion Molecules Radioisotopes Adenocarcinoma of Lung Theranostic Nanomedicine Antibodies, Monoclonal, Humanized Multiple Pulmonary Nodules Antibodies, Monoclonal Iodine Radioisotopes Cell Line, Tumor Lung Neoplasms Mice Humans Female Animals
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Prediction of Lesion-Based Treatment Response after Two Cycles of Lu-177 Prostate Specific Membrane Antigen Treatment in Metastatic Castration-Resistant Prostate Cancer Using Machine Learning.

Urologia internationalis Sep 30, 2024
INTRODUCTION: Lutetium-177 (Lu-177) prostate-specific membrane antigen (PSMA) therapy is a radionuclide treatment that prolongs overall survival in metastatic castration-resistant prostate cancer (MCRPC). We aimed to predict lesion-based treatment re...
Humans Machine Learning Retrospective Studies Radioisotopes Aged Antigens, Surface Gallium Radioisotopes Aged, 80 and over Positron Emission Tomography Computed Tomography Male Glutamate Carboxypeptidase II Radiopharmaceuticals Lutetium Middle Aged Neoplasm Metastasis Treatment Outcome Prostatic Neoplasms, Castration-Resistant
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A Deep-Learning-Based Partial-Volume Correction Method for Quantitative Lu SPECT/CT Imaging.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jun 3, 2024
With the development of new radiopharmaceutical therapies, quantitative SPECT/CT has progressively emerged as a crucial tool for dosimetry. One major obstacle of SPECT is its poor resolution, which results in blurring of the activity distribution. Es...
Single Photon Emission Computed Tomography Computed Tomography Lutetium Image Processing, Computer-Assisted Monte Carlo Method Radioisotopes Phantoms, Imaging Humans Deep Learning
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FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2024
In this work, we demonstrate the training, conversion, and implementation flow of an FPGA-based bin-ratio ensemble spiking neural network applied for radioisotope identification. The combination of techniques including learned step quantisation (LSQ)...
Radioisotopes Neural Networks, Computer Humans Algorithms Action Potentials Neurons
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Machine learning to predict environmental dose rates from a radionuclide therapy service - a proof of concept study.

Journal of radiological protection : official journal of the Society for Radiological Protection Jul 7, 2023
The Ionising Radiation Regulations 2017 requires prior risk assessment calculations and regular environmental monitoring of radiation doses. However, the accuracy of prior risk assessments is limited by assumptions and monitoring only provides retros...
Humans Machine Learning Wastewater Prospective Studies Retrospective Studies Proof of Concept Study Radioisotopes
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Reducing scan time in Lu planar scintigraphy using convolutional neural network: A Monte Carlo simulation study.

Journal of applied clinical medical physics Jun 1, 2023
PURPOSE: The aim of this study was to reduce scan time in Lu planar scintigraphy through the use of convolutional neural network (CNN) to facilitate personalized dosimetry for Lu-based peptide receptor radionuclide therapy.
Radioisotopes Humans Radionuclide Imaging Neural Networks, Computer Receptors, Peptide Monte Carlo Method
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The role of warm ischemia time on functional outcomes after robotic partial nephrectomy: a radionuclide renal scan study from the clock randomized trial.

World journal of urology Apr 21, 2023
PURPOSE: To evaluate the relationship between warm ischemia time (WIT) duration and renal function after robot-assisted partial nephrectomy (RAPN).
Radioisotopes Glomerular Filtration Rate Warm Ischemia Humans Nephrectomy Robotics Radionuclide Imaging Robotic Surgical Procedures Retrospective Studies Kidney Neoplasms Treatment Outcome
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