Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review

被引：24
作者：
Greco, Federico [1 ]
Salgado, Rodrigo [2 ]
Van Hecke, Wim [3 ,4 ]
Del Buono, Romualdo [5 ]
Parizel, Paul M. [6 ,7 ]
Mallio, Carlo Augusto [8 ]
机构：
[1] Cittadella Salute Azienda Sanit Locale Lecce, UOC Diagnost Immagini Terr Aziendale, Piazza Filippo Bottazzi, I-73100 Lecce, Italy
[2] Antwerp Univ Hosp UZA, Dept Radiol, Edegem, Belgium
[3] Vrije Univ Brussel, AI Supported Modelling Clin Sci AIMS, B-1050 Brussels, Belgium
[4] IcoMetrix, Leuven, Belgium
[5] ASST Gaetano Pini, Unit Anesthesia Resuscitat Intens Care & Pain Man, Milan, Italy
[6] Royal Perth Hosp, Perth, WA, Australia
[7] Univ Western Australia, Perth, WA, Australia
[8] Univ Campus Biomed Roma, Unit Diagnost Imaging, Rome, Italy
来源：
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY | 2022年 / 12卷 / 03期
关键词：
Obesity; artificial intelligence (AI); adipose tissue; cardiac computed tomography (cardiac CT); metabolic syndrome (MetS); SUBCUTANEOUS ADIPOSE-TISSUE; CARDIAC EVENTS; DISEASE; SEGMENTATION; INFLAMMATION; PREDICTION; MODELS; HEALTH; VOLUME;
D O I：
10.21037/qims-21-945
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
The present review summarizes the available evidence on artificial intelligence (AI) algorithms aimed to the segmentation of epicardial and pericardial adipose tissues on computed tomography (CT) images. Body composition imaging is a novel concept based on quantitative analysis of body tissues. Manual segmentation of medical images allows to obtain quantitative and qualitative data on several tissues including epicardial and pericardial fat. However, since manual segmentation requires a considerable amount of time, the analysis of adipose tissue compartments based on AI has been proposed as an automatic, reliable, accurate and fast tool. The literature research was performed on March 2021 using MEDLINE PubMed Central and "adipose tissue artificial intelligence", "adipose tissue deep learning" or "adipose tissue machine learning" as keywords for articles search. Relevant articles concerning epicardial adipose tissue, pericardial adipose tissue and AI were selected. The evaluation of adipose tissue compartments can provide additional information on the pathogenesis and prognosis of several diseases, including cardiovascular. AI can assist physicians to obtain important information, possibly improving the patient's quality of life and identifying patients at risk of developing variable disorders.
引用
收藏
页码：2075 / 2089
页数：15
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