Literature DB >> 35655815

Cardiac computed tomography radiomics: a narrative review of current status and future directions.

Jin Shang1, Yan Guo2, Yue Ma1, Yang Hou1.   

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.

Entities:  

Keywords:  Cardiac computed tomography; cardiovascular disease; phenotyping; radiomics

Year:  2022        PMID: 35655815      PMCID: PMC9131324          DOI: 10.21037/qims-21-1022

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  64 in total

1.  Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up.

Authors:  Sadako Motoyama; Hajime Ito; Masayoshi Sarai; Takeshi Kondo; Hideki Kawai; Yasuomi Nagahara; Hiroto Harigaya; Shino Kan; Hirofumi Anno; Hiroshi Takahashi; Hiroyuki Naruse; Junichi Ishii; Harvey Hecht; Leslee J Shaw; Yukio Ozaki; Jagat Narula
Journal:  J Am Coll Cardiol       Date:  2015-07-28       Impact factor: 24.094

2.  Effect of image reconstruction algorithms on volumetric and radiomic parameters of coronary plaques.

Authors:  Márton Kolossváry; Bálint Szilveszter; Júlia Karády; Zsófia Dóra Drobni; Béla Merkely; Pál Maurovich-Horvat
Journal:  J Cardiovasc Comput Tomogr       Date:  2018-11-12

3.  Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome.

Authors:  Kenichiro Otsuka; Shota Fukuda; Atsushi Tanaka; Koki Nakanishi; Haruyuki Taguchi; Junichi Yoshikawa; Kenei Shimada; Minoru Yoshiyama
Journal:  JACC Cardiovasc Imaging       Date:  2013-03-14

4.  Radiomic features of plaques derived from coronary CT angiography to identify hemodynamically significant coronary stenosis, using invasive FFR as the reference standard.

Authors:  Lin Li; Xi Hu; Xinwei Tao; Xiaozhe Shi; Wenli Zhou; Hongjie Hu; Xiuhua Hu
Journal:  Eur J Radiol       Date:  2021-05-09       Impact factor: 3.528

5.  Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease.

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

6.  Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.

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

7.  MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.

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

8.  Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial.

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

9.  Interactions between vascular wall and perivascular adipose tissue reveal novel roles for adiponectin in the regulation of endothelial nitric oxide synthase function in human vessels.

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

10.  Cardiac magnetic resonance radiomics: basic principles and clinical perspectives.

Authors:  Zahra Raisi-Estabragh; Cristian Izquierdo; Victor M Campello; Carlos Martin-Isla; Akshay Jaggi; Nicholas C Harvey; Karim Lekadir; Steffen E Petersen
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2020-04-01       Impact factor: 6.875

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