Literature DB >> 33722057

Radiomics: The Next Frontier of Cardiac Computed Tomography.

Pengpeng Xu1, Yi Xue2, U Joseph Schoepf3, Akos Varga-Szemes3, Joseph Griffith3, Basel Yacoub3, Fan Zhou1, Changsheng Zhou1, Yuting Yang2, Wei Xing4, Longjiang Zhang2.   

Abstract

Radiomics uses advanced image analysis to extract massive amounts of quantitative information from digital images, which is not otherwise distinguishable to the human eye. The mined data can be used to explore and establish new and undiscovered correlations between these imaging features and clinical end points. Cardiac computed tomography (CT) is a first-line imaging modality for evaluating coronary artery disease and has a primary role in the assessment of cardiac structures. Conventional interpretation of cardiac CT images relies mostly on subjective and qualitative analysis, as well as basic geometric quantification. To date, some proof-of-concept studies have demonstrated the feasibility and diagnostic performance of cardiac CT radiomics analysis. This review describes the current literature on radiomics in cardiac CT and discusses its advantages, challenges, and future directions. Although much evidences are needed in this field, cardiac CT radiomics has a lot to offer to patients and physicians with potential to define cardiac disease phenotypes on imaging with higher precision.

Entities:  

Keywords:  atherosclerosis; heart diseases; humans; machine learning; phenotype

Mesh:

Year:  2021        PMID: 33722057     DOI: 10.1161/CIRCIMAGING.120.011747

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  7 in total

Review 1.  Cardiac computed tomography radiomics: a narrative review of current status and future directions.

Authors:  Jin Shang; Yan Guo; Yue Ma; Yang Hou
Journal:  Quant Imaging Med Surg       Date:  2022-06

Review 2.  Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment.

Authors:  Andrea Ponsiglione; Arnaldo Stanzione; Renato Cuocolo; Raffaele Ascione; Michele Gambardella; Marco De Giorgi; Carmela Nappi; Alberto Cuocolo; Massimo Imbriaco
Journal:  Eur Radiol       Date:  2021-11-23       Impact factor: 7.034

3.  Comparison Study of Myocardial Radiomics Feature Properties on Energy-Integrating and Photon-Counting Detector CT.

Authors:  Isabelle Ayx; Hishan Tharmaseelan; Alexander Hertel; Dominik Nörenberg; Daniel Overhoff; Lukas T Rotkopf; Philipp Riffel; Stefan O Schoenberg; Matthias F Froelich
Journal:  Diagnostics (Basel)       Date:  2022-05-23

Review 4.  Artificial Intelligence-A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome.

Authors:  Ming-Hao Liu; Chen Zhao; Shengfang Wang; Haibo Jia; Bo Yu
Journal:  Front Cardiovasc Med       Date:  2022-02-16

5.  Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score-First Results of a Photon-Counting CT.

Authors:  Isabelle Ayx; Hishan Tharmaseelan; Alexander Hertel; Dominik Nörenberg; Daniel Overhoff; Lukas T Rotkopf; Philipp Riffel; Stefan O Schoenberg; Matthias F Froelich
Journal:  Diagnostics (Basel)       Date:  2022-07-08

6.  Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA).

Authors:  Mardhiyati Mohd Yunus; Ahmad Khairuddin Mohamed Yusof; Muhd Zaidi Ab Rahman; Xue Jing Koh; Akmal Sabarudin; Puteri N E Nohuddin; Kwan Hoong Ng; Mohd Mustafa Awang Kechik; Muhammad Khalis Abdul Karim
Journal:  Diagnostics (Basel)       Date:  2022-07-08

7.  Reproducibility and Repeatability of Coronary Computed Tomography Angiography (CCTA) Image Segmentation in Detecting Atherosclerosis: A Radiomics Study.

Authors:  Mardhiyati Mohd Yunus; Akmal Sabarudin; Muhammad Khalis Abdul Karim; Puteri N E Nohuddin; Isa Azzaki Zainal; Mohd Shahril Mohd Shamsul; Ahmad Khairuddin Mohamed Yusof
Journal:  Diagnostics (Basel)       Date:  2022-08-19
  7 in total

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