Coronary CTA-based vascular radiomics predicts atherosclerosis development proximal to LAD myocardial bridging

Author:

Chen Yan Chun1,Zheng Jin2,Zhou Fan3,Tao Xin Wei4,Chen Qian5,Feng Yun6,Su Yun Yan7,Zhang Yu8,Liu Tongyuan9,Zhou Chang Sheng3,Tang Chun Xiang3,Weir-McCall Jonathan1011ORCID,Teng Zhongzhao12,Zhang Long Jiang13ORCID

Affiliation:

1. Department of Radiology, Jinling Hospital, Nanjing Medical University , 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu 210002 , China

2. Department of Radiology, University of Cambridge , Cambridge , UK

3. Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University , 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu 210002 , China

4. Bayer Healthcare , Shanghai , China

5. Department of Radiology, Nanjing First Hospital, Nanjing Medical University , Nanjing, Jiangsu 210002 , China

6. Department of Radiology, The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University , Huaian, Jiangsu 223001 , China

7. Department of Radiology, The First Affiliated Hospital of Soochow University , 188 Shizi Road, Gusu District, Suzhou, Jiangsu 215006 , China

8. Outpatient Department of Military, The 901st Hospital of the Joint Logistics Support Force of PLA , Hefei 230031 , China

9. Department of Radiology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University , Nanjing, Jiangsu 210002 , China

10. School of Clinical Medicine, University of Cambridge , Cambridge , UK

11. Royal Papworth Hospital , Cambridge , UK

12. Nanjing Jingsan Medical Science and Technology, Ltd. , Nanjing, Jiangsu , China

Abstract

Abstract Aims Cardiac cycle morphological changes can accelerate plaque growth proximal to myocardial bridging (MB) in the left anterior descending artery (LAD). To assess coronary computed tomography angiography (CCTA)-based vascular radiomics for predicting proximal plaque development in LAD MB. Methods and results Patients with repeated CCTA scans showing LAD MB without proximal plaque in index CCTA were included from Jinling Hospital as a development set. They were divided into training and internal testing in an 8:2 ratio. Patients from four other tertiary hospitals were set as external validation set. The endpoint was proximal plaque development of LAD MB in follow-up CCTA. Four vascular radiomics models were built: MB centreline (MB CL), proximal MB CL (pMB CL), MB cross-section (MB CS), and proximal MB CS (pMB CS), whose performances were evaluated using area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), and net reclassification improvement (NRI). In total, 295 patients were included in the development (n = 192; median age, 54 ± 11 years; 137 men) and external validation sets (n = 103; median age, 57 ± 9 years; 57 men). The pMB CS vascular radiomics model exhibited higher AUCs in training, internal test, and external sets (AUC = 0.78, 0.75, 0.75) than the clinical and anatomical model (all P < 0.05). Integration of the pMB CS vascular radiomics model significantly raised the AUC of the clinical and anatomical model from 0.56 to 0.75 (P = 0.002), along with enhanced NRI [0.76 (0.37–1.14), P < 0.001] and IDI [0.17 (0.07–0.26), P < 0.001] in the external validation set. Conclusion The CCTA-based pMB CS vascular radiomics model can predict plaque development in LAD MB.

Funder

National Natural Science Foundation of China

NIHR Cambridge Biomedical Research Centre

Publisher

Oxford University Press (OUP)

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