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Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram.

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Title: Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram.
Authors: Shu ZY; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China., Cui SJ; Second Clinical College, Zhejiang Chinese Medical University, Hangzhou, China., Zhang YQ; Department of Radiology, Shao-Yifu Hospital Affiliated to Zhejiang University, Hangzhou, China., Xu YY; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China., Hung SC; Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Fu LP; Department of Nuclear Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, China., Pang PP; GE Healthcare China, Shanghai, China., Gong XY; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China. cjr.gxy@hotmail.com.; Institute of Artificial Intelligence and Remote Imaging, Hangzhou Medical College, Hangzhou, China. cjr.gxy@hotmail.com., Jin QY; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China. Jqy119@163.com.
Source: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology [J Nucl Cardiol] 2022 Feb; Vol. 29 (1), pp. 262-274. Date of Electronic Publication: 2020 Jun 18.
Publication Type: Journal Article; Randomized Controlled Trial
Journal Info: Publisher: Elsevier Inc. on behalf of American Society of Nuclear Cardiology Country of Publication: United States NLM ID: 9423534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-6551 (Electronic) Linking ISSN: 10713581 NLM ISO Abbreviation: J Nucl Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram.
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  Data: <searchLink fieldCode="AU" term="%22Shu+ZY%22">Shu ZY</searchLink>; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Cui+SJ%22">Cui SJ</searchLink>; Second Clinical College, Zhejiang Chinese Medical University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YQ%22">Zhang YQ</searchLink>; Department of Radiology, Shao-Yifu Hospital Affiliated to Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+YY%22">Xu YY</searchLink>; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Hung+SC%22">Hung SC</searchLink>; Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Fu+LP%22">Fu LP</searchLink>; Department of Nuclear Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Pang+PP%22">Pang PP</searchLink>; GE Healthcare China, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Gong+XY%22">Gong XY</searchLink>; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China. cjr.gxy@hotmail.com.; Institute of Artificial Intelligence and Remote Imaging, Hangzhou Medical College, Hangzhou, China. cjr.gxy@hotmail.com.<br /><searchLink fieldCode="AU" term="%22Jin+QY%22">Jin QY</searchLink>; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China. Jqy119@163.com.
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  Data: <searchLink fieldCode="JN" term="%229423534%22">Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology</searchLink> [J Nucl Cardiol] 2022 Feb; Vol. 29 (1), pp. 262-274. <i>Date of Electronic Publication: </i>2020 Jun 18.
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  Data: Journal Article; Randomized Controlled Trial
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Inc%2E+on+behalf+of+American+Society+of+Nuclear+Cardiology%22">Elsevier Inc. on behalf of American Society of Nuclear Cardiology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9423534 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-6551 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210713581%22">10713581 </searchLink><i>NLM ISO Abbreviation: </i>J Nucl Cardiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s12350-020-02204-2
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      – Code: eng
        Text: English
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              Text: 2022 Feb
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