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Articles Published Processes
7/25/2025 9:11:52 AM | Browse: 12 | Download: 45
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Received |
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2025-06-07 04:17 |
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Peer-Review Started |
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2025-06-07 04:17 |
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To Make the First Decision |
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Return for Revision |
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2025-06-17 09:25 |
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Revised |
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2025-06-24 06:59 |
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Second Decision |
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2025-07-22 02:40 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-07-22 06:33 |
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Articles in Press |
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2025-07-22 06:33 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-07-23 00:48 |
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Publish the Manuscript Online |
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2025-07-25 09:11 |
| ISSN |
1949-8470 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Retrospective Study |
| Article Title |
Determining the scanning range of coronary computed tomography angiography based on deep learning
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yu-Hao Zhao, Yi-Han Fan, Xiao-Yan Wu, Tian Qin, Qing-Ting Sun and Bao-Hui Liang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Anhui Provincial College Students’ Innovation and Entrepreneurship Training Program |
S202310367063 |
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| Corresponding Author |
Bao-Hui Liang, School of Medical Imaging, Bengbu Medical University, No. 2600, Donghai Avenue, Bengbu 233000, Anhui Province, China. yxwlx@126.com |
| Key Words |
Deep learning; Coronary computed tomography angiography; Keypoint detection; Scout images; Medical imaging |
| Core Tip |
Current coronary computed tomography angiography (CCTA) scanning often requires manual delineation of scan boundaries, limiting automation. This study introduces an innovative deep learning approach to automate CCTA scan range determination using anteroposterior scout images. The method provides a highly precise and adaptable solution, significantly enhancing diagnostic efficiency for coronary artery disease. This advancement overcomes the constraints of manual range selection, facilitating seamless integration across diverse medical institutions and optimizing clinical workflows. |
| Publish Date |
2025-07-25 09:11 |
| Citation |
<p>Zhao YH, Fan YH, Wu XY, Qin T, Sun QT, Liang BH. Determining the scanning range of coronary computed tomography angiography based on deep learning. <i>World J Radiol</i> 2025; 17(7): 110394</p> |
| URL |
https://www.wjgnet.com/1949-8470/full/v17/i7/110394.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v17.i7.110394 |
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