Jin Shang1, Yan Guo2, Yue Ma1, Yang Hou1. 1. Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China. 2. GE Healthcare, Beijing, China.
Abstract
Background and Objective: In an era of profound growth of medical data and rapid development of advanced imaging modalities, precision medicine increasingly requires further expansion of what can be interpreted from medical images. However, the current interpretation of cardiac computed tomography (CT) images mainly depends on subjective and qualitative analysis. Radiomics uses advanced image analysis to extract numerous quantitative features from digital images that are unrecognizable to the naked eye. Visualization of these features can reveal underlying connections between image phenotyping and biological characteristics and support clinical outcomes. Although research into radiomics on cardiovascular disease began only recently, several studies have indicated its potential clinical value in assessing future cardiac risk and guiding prevention and management strategies. Our review aimed to summarize the current applications of cardiac CT radiomics in the cardiovascular field and discuss its advantages, challenges, and future directions. Methods: We searched for English-language articles published between January 2010 and August 2021 in the databases of PubMed, Embase, and Google Scholar. The keywords used in the search included computed tomography or CT, radiomics, cardiovascular or cardiac. Key Content and Findings: The current applications of radiomics in cardiac CT were found to mainly involve research into coronary plaques, perivascular adipose tissue (PVAT), myocardial tissue, and intracardiac lesions. Related findings on cardiac CT radiomics suggested the technique can assist the identification of vulnerable plaques or patients, improve cardiac risk prediction and stratification, discriminate myocardial pathology and etiologies behind intracardiac lesions, and offer new perspective and development prospects to personalized cardiovascular medicine. Conclusions: Cardiac CT radiomics can gather additional disease-related information at a microstructural level and establish a link between imaging phenotyping and tissue pathology or biology alone. Therefore, cardiac CT radiomics has significant clinical implications, including a contribution to clinical decision-making. Along with advancements in cardiac CT imaging, cardiac CT radiomics is expected to provide more precise phenotyping of cardiovascular disease for patients and doctors, which can improve diagnostic, prognostic, and therapeutic decision making in the future. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Background and Objective: In an era of profound growth of medical data and rapid development of advanced imaging modalities, precision medicine increasingly requires further expansion of what can be interpreted from medical images. However, the current interpretation of cardiac computed tomography (CT) images mainly depends on subjective and qualitative analysis. Radiomics uses advanced image analysis to extract numerous quantitative features from digital images that are unrecognizable to the naked eye. Visualization of these features can reveal underlying connections between image phenotyping and biological characteristics and support clinical outcomes. Although research into radiomics on cardiovascular disease began only recently, several studies have indicated its potential clinical value in assessing future cardiac risk and guiding prevention and management strategies. Our review aimed to summarize the current applications of cardiac CT radiomics in the cardiovascular field and discuss its advantages, challenges, and future directions. Methods: We searched for English-language articles published between January 2010 and August 2021 in the databases of PubMed, Embase, and Google Scholar. The keywords used in the search included computed tomography or CT, radiomics, cardiovascular or cardiac. Key Content and Findings: The current applications of radiomics in cardiac CT were found to mainly involve research into coronary plaques, perivascular adipose tissue (PVAT), myocardial tissue, and intracardiac lesions. Related findings on cardiac CT radiomics suggested the technique can assist the identification of vulnerable plaques or patients, improve cardiac risk prediction and stratification, discriminate myocardial pathology and etiologies behind intracardiac lesions, and offer new perspective and development prospects to personalized cardiovascular medicine. Conclusions: Cardiac CT radiomics can gather additional disease-related information at a microstructural level and establish a link between imaging phenotyping and tissue pathology or biology alone. Therefore, cardiac CT radiomics has significant clinical implications, including a contribution to clinical decision-making. Along with advancements in cardiac CT imaging, cardiac CT radiomics is expected to provide more precise phenotyping of cardiovascular disease for patients and doctors, which can improve diagnostic, prognostic, and therapeutic decision making in the future. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Authors: Markus Goeller; Stephan Achenbach; Sebastien Cadet; Alan C Kwan; Frederic Commandeur; Piotr J Slomka; Heidi Gransar; Moritz H Albrecht; Balaji K Tamarappoo; Daniel S Berman; Mohamed Marwan; Damini Dey Journal: JAMA Cardiol Date: 2018-09-01 Impact factor: 14.676
Authors: Raymond H Mak; Hugo J W L Aerts; Thibaud P Coroller; Vishesh Agrawal; Elizabeth Huynh; Vivek Narayan; Stephanie W Lee Journal: J Thorac Oncol Date: 2016-11-27 Impact factor: 15.609
Authors: Hui Li; Yitan Zhu; Elizabeth S Burnside; Karen Drukker; Katherine A Hoadley; Cheng Fan; Suzanne D Conzen; Gary J Whitman; Elizabeth J Sutton; Jose M Net; Marie Ganott; Erich Huang; Elizabeth A Morris; Charles M Perou; Yuan Ji; Maryellen L Giger Journal: Radiology Date: 2016-05-05 Impact factor: 11.105
Authors: Matthew J Budoff; David Dowe; James G Jollis; Michael Gitter; John Sutherland; Edward Halamert; Markus Scherer; Raye Bellinger; Arthur Martin; Robert Benton; Augustin Delago; James K Min Journal: J Am Coll Cardiol Date: 2008-11-18 Impact factor: 24.094
Authors: Marios Margaritis; Alexios S Antonopoulos; Janet Digby; Regent Lee; Svetlana Reilly; Patricia Coutinho; Cheerag Shirodaria; Rana Sayeed; Mario Petrou; Ravi De Silva; Shapour Jalilzadeh; Michael Demosthenous; Constantinos Bakogiannis; Dimitris Tousoulis; Christodoulos Stefanadis; Robin P Choudhury; Barbara Casadei; Keith M Channon; Charalambos Antoniades Journal: Circulation Date: 2013-04-26 Impact factor: 29.690