Super-Resolution Deep Learning Reconstruction for Coronary CT Angiography: Coronary Stenosis Assessment and CAD-RADS Reclassification

Radiology 2026 Open access

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Authors: Limiao Zou, Chunqiang Xu, Xiaohuan Liu, Linghao Wang, Tao You Zhou, Lin Yang, Xiaohui Guan, Na Li, Feng Ke, Wenli Hong, Bo Wang, M. Xu
+14 more Joanne Désirée Schuijf, Keting Xu, Jian Cao, Jikun Zheng, Zhihua Wu, Hongzhong Mo, Tong Zhang, Demao Deng, Jiexin Sheng, Shouqiang Jia, Ying Li, Shaofei He, Changhua Liang, Yining Wang
DOI: 10.1148/radiol.252163
Cited by: 1
References: 32

Abstract

< .001). Conclusion SR-DLR outperformed HIR for coronary stenosis assessment and led to 20% (41 of 204) participant-level CAD-RADS reclassification. © The Author(s) 2026. Published by the Radiological Society of North America under a CC BY 4.0 license. Chinese Clinical Trial Registry no. ChiCTR2300075364

Fields of Study & Subjects

Cardiac Imaging and Diagnostics Advanced Image Processing Techniques Coronary Interventions and Diagnostics

Publication details

Journal / source
Radiology
Publisher
Radiological Society of North America (RSNA)
Volume
318
Issue
2
Pages
e252163–e252163
Publication date
1 February 2026
Language
EN