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Thallium Radioisotopes

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Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology 25480110
OBJECTIVE: We aimed to investigate if early revascularization in patients with suspected coronary artery disease can be effectively predicted by integrating clinical data and quantitative image features derived from perfusion SPECT (MPS) by machine l...
Aged Algorithms Coronary Angiography Coronary Artery Disease Electrocardiography Exercise Test Female Heart Humans Image Processing, Computer-Assisted Machine Learning Male Middle Aged Myocardial Perfusion Imaging Myocardial Revascularization Radiopharmaceuticals Retrospective Studies Sensitivity and Specificity Technetium Tc 99m Sestamibi Thallium Radioisotopes Tomography, Emission-Computed, Single-Photon
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Clinical Feasibility of Deep Learning-Based Attenuation Correction Models for Tl-201 Myocardial Perfusion SPECT.

Clinical nuclear medicine 38409758
PURPOSE: We aimed to develop deep learning (DL)-based attenuation correction models for Tl-201 myocardial perfusion SPECT (MPS) images and evaluate their clinical feasibility.
Aged Deep Learning Feasibility Studies Female Humans Image Processing, Computer-Assisted Male Middle Aged Perfusion Retrospective Studies Sensitivity and Specificity Thallium Radioisotopes Tomography, Emission-Computed, Single-Photon
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