Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score

doi:10.1007/s10554-020-01896-4

	Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score
	Hu, Wenchao 1,2,3,4; Wu, Xiangjun 5,6; Dong, Di5,6 ; Cui, Long-Biao 1,2,9; Jiang, Min 1,2,3,4; Zhang, Jibin 1,2,3,4; Wang, Yabin 1,2,10; Wang, Xinjiang 1,2; Gao, Lei 1,2; Tian, Jie 6,7,8; Cao, Feng 1,2
发表期刊	INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
ISSN	1569-5794
	2020-06-03
页码	12
通讯作者	Tian, Jie(jie.tian@ia.ac.cn) ; Cao, Feng(fengcao8828@163.com)
摘要	To explore the superiority of radiomics analysis in the diagnostic performance of coronary computed tomography angiography (CCTA) for identifying myocardial ischaemia and predicting major adverse cardiovascular events (MACE). A total of 105 lesions from 88 patients who underwent CCTA and invasive fractional flow reserve measurement were collected as the training set, and another 31 patients with CCTA and clinical outcome information were used as the validation set. Conventional CCTA features included the stenosis diameter, length, Agatston score and high-risk plaque characteristics. After extracting and selecting radiomics features, the robustness of the radiomics features was examined, and then conventional and radiomics models were established using logistic regressions. The area under the receiver operating characteristic (ROC) curve (AUC) and Net Reclassification Index (NRI) were analysed to compare the discrimination and classification abilities between the two models in both the training and validation sets. A total of 1409 radiomics features were extracted, and three wavelet features were finally screened out. The robustness test showed good stability for the refined radiomics features. Compared with the conventional model, the radiomics model displayed a significantly improved diagnostic performance in the training set (AUC 0.762 vs. 0.631, 95% confidence interval [CI] 0.671-0.853 vs. 0.519-0.742, P = 0.058) but a slightly improved diagnostic performance in the validation set (AUC 0.671 vs. 0.592, 95% CI 0.466-0.875 vs. 0.519-0.742, P = 0.448). The NRI of the radiomics model was increased in both the training and validation sets (NRI 0.198 and 0.238, respectively). Quantitative radiomics analysis was feasible and might help to improve the diagnostic performance of CCTA but is still controversial for predicting MACE.
关键词	Coronary artery disease CT angiography Radiomics Myocardial ischaemia
DOI	10.1007/s10554-020-01896-4
关键词[WOS]	CARDIOVASCULAR COMPUTED-TOMOGRAPHY ; CT ANGIOGRAPHY ; HEART-ASSOCIATION ; AMERICAN SOCIETY ; SCCT GUIDELINES ; TASK-FORCE ; DISEASE ; PREDICTION ; CARDIOLOGY ; STENOSES
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[91939303] ; National Natural Science Foundation of China[81820108019] ; National Natural Science Foundation of China[81971776] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[91959130] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[81227901] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFA0700401] ; Beijing Natural Science Foundation[L182061] ; Translational Medicine Project of Chinese PLA General Hospital[2017TM-003] ; Youth Innovation Promotion Association CAS[2017175]
项目资助者	National Natural Science Foundation of China ; National Key R&D Program of China ; Beijing Natural Science Foundation ; Translational Medicine Project of Chinese PLA General Hospital ; Youth Innovation Promotion Association CAS
WOS研究方向	Cardiovascular System & Cardiology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Cardiac & Cardiovascular Systems ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000537356200001
出版者	SPRINGER
七大方向——子方向分类	医学影像处理与分析
引用统计	被引频次：18[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/39627
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie; Cao, Feng
作者单位	1.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Beijing, Peoples R China 2.Chinese Peoples Liberat Army Gen Hosp, Natl Res Ctr Geriatr Dis, Beijing, Peoples R China 3.Chinese PLA, Med Sch, Beijing, Peoples R China 4.Chinese Peoples Liberat Army Gen Hosp, Dept Cardiol, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China 7.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China 8.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Peoples R China 9.PLA Air Force Med Univ, Sch Med Psychol, Dept Clin Psychol, Xian, Peoples R China 10.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Dept Cardiol, Beijing, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Hu, Wenchao,Wu, Xiangjun,Dong, Di,et al. Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score[J]. INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING,2020:12.
APA	Hu, Wenchao.,Wu, Xiangjun.,Dong, Di.,Cui, Long-Biao.,Jiang, Min.,...&Cao, Feng.(2020).Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score.INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING,12.
MLA	Hu, Wenchao,et al."Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score".INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING (2020):12.