AIMC Topic: Radioisotopes

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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...
Antibodies, Monoclonal, Humanized Multiple Pulmonary Nodules Antibodies, Monoclonal Lung Neoplasms Mice Radioisotopes Adenocarcinoma of Lung Theranostic Nanomedicine Iodine Radioisotopes Zirconium Cell Adhesion Molecules Humans Female Animals Cell Line, Tumor
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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...
Machine Learning Retrospective Studies Aged Humans Treatment Outcome Positron Emission Tomography Computed Tomography Radiopharmaceuticals Aged, 80 and over Male Middle Aged Glutamate Carboxypeptidase II Lutetium Radioisotopes Antigens, Surface Gallium Radioisotopes Neoplasm Metastasis 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...
Lutetium Image Processing, Computer-Assisted Monte Carlo Method Radioisotopes Phantoms, Imaging Single Photon Emission Computed Tomography Computed Tomography 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 Action Potentials Neurons Humans Neural Networks, Computer Algorithms
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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...
Retrospective Studies Machine Learning Proof of Concept Study Humans Wastewater Radioisotopes Prospective Studies
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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.
Humans Neural Networks, Computer Monte Carlo Method Radioisotopes Radionuclide Imaging Receptors, Peptide
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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).
Nephrectomy Radionuclide Imaging Warm Ischemia Kidney Neoplasms Radioisotopes Glomerular Filtration Rate Humans Robotics Retrospective Studies Robotic Surgical Procedures Treatment Outcome
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Tritium: Its relevance, sources and impacts on non-human biota.

The Science of the total environment Mar 13, 2023
Tritium (H) is a radioactive isotope of hydrogen that is abundantly released from nuclear industries. It is extremely mobile in the environment and in all biological systems, representing an increasing concern for the health of both humans and non-hu...
Radioisotopes Biota Tritium Ecosystem Mammals Artificial Intelligence Animals
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Comparison of machine learning approaches for radioisotope identification using NaI(TI) gamma-ray spectrum.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Apr 14, 2022
This research aims at comparing the performance of different machine learning algorithms used for NaI(TI) gamma-ray detector based radioisotope identification. Six machine learning algorithms were implemented, including support vector machine (SVM), ...
Radioisotopes Neural Networks, Computer Algorithms Machine Learning Support Vector Machine Bayes Theorem
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A new radionuclide identification method for low-count energy spectra with multiple radionuclides.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Apr 6, 2022
Radionuclide identification is to recognize the radionuclides in the environment by analyzing the energy spectrum. Rapid and accurate identification is important for nuclear security. Current radionuclide identification methods based on traditional p...
Neural Networks, Computer Radioisotopes
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