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首页> Journal of nuclear medicine : official publication, Society of Nuclear Medicine> Deep Learning-Enabled Quantification of <sup>99m</sup>Tc-Pyrophosphate SPECT/CT for Cardiac Amyloidosis.

Deep Learning-Enabled Quantification of <sup>99m</sup>Tc-Pyrophosphate SPECT/CT for Cardiac Amyloidosis.

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作者： Robert J H,Miller ^[1] ; Aakash,Shanbhag ^[2] ; Anna M,Michalowska ^[3] ; Paul,Kavanagh ^[3] ; Joanna X,Liang ^[3] ; Valerie,Builoff ^[3] ; Nowell M,Fine ^[1] ; Damini,Dey ^[3] ; Daniel S,Berman ^[3] ; Piotr J,Slomka ^[4]

作者单位： Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada. ^[1] Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California; and.;Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California. ^[2] Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California; and. ^[3] Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California; and piotr.slomka@cshs.org. ^[4]

关键词 biomarker cardiac amyloidosis diagnostic accuracy quantification technetium pyrophosphate

主题词人类(Humans);女(雌)性(Female);男(雄)性(Male);老年人(Aged);99m锝焦磷酸盐(Technetium Tc 99m Pyrophosphate);老年人, 80以上(Aged, 80 and over);心肌疾病(Cardiomyopathies);图像处理, 计算机辅助(Image Processing, Computer-Assisted);淀粉样神经病, 家族性(Amyloid Neuropathies, Familial);中年人(Middle Aged);淀粉样变性(Amyloidosis)

DOI 10.2967/jnumed.124.267542

PMID 38724278

发布时间 2025-01-04

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Journal of nuclear medicine : official publication, Society of Nuclear Medicine

Journal of nuclear medicine

2024年65卷7期

1144-1150页

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