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Articles Published Processes
7/24/2026 7:32:04 AM | Browse: 2 | Download: 0
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Received |
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2026-06-02 07:22 |
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Peer-Review Started |
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2026-06-02 07:23 |
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First Decision by Editorial Office Director |
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2026-06-11 02:06 |
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Return for Revision |
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2026-06-11 02:06 |
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Revised |
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2026-06-23 07:36 |
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Publication Fee Transferred |
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2026-07-01 09:15 |
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Second Decision by Editor |
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2026-07-08 02:36 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-07-08 07:33 |
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Articles in Press |
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2026-07-08 07:33 |
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Edit the Manuscript by Language Editor |
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2026-07-13 17:37 |
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Typeset the Manuscript |
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2026-07-21 03:37 |
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Publish the Manuscript Online |
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2026-07-24 07:32 |
| ISSN |
1949-8470 (online) |
| Open Access |
Open-Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zhong-Yun He, Zhi-Wei Zhan, Le-Jiang Zhou, Jun Tang, Chen Chen, Qing-Jun Yang, Qiang Tian and Xiao-Hong Wang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Hunan Provincial Natural Science Foundation Regional Joint Fund Project |
024JJ7652 |
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| Corresponding Author |
Zhong-Yun He, Department of Radiology, Zhuzhou 331 Hospital, No. 1398 Zhudong Road, Lusong District, Zhuzhou 412002, Hunan Province, China. hezhongyun@126.com |
| Key Words |
Computed tomography; Artificial intelligence; Cardiopulmonary imaging abnormalities; Middle-aged and elderly population; Opportunistic screening |
| Core Tip |
This study developed and validated a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary imaging abnormalities in 1035 asymptomatic screening individuals using artificial intelligence-assisted low-dose computed tomography quantitative analysis. Five independently associated factors were identified: Smoking history, abnormal metabolic status, body mass index, age, and gender. The nomogram achieved an area under the curve of 0.833 in the validation set. This model may assist early, non-invasive risk stratification for cardiopulmonary imaging abnormalities during routine lung cancer screening, potentially guiding timely preventive interventions in high-risk populations. |
| Publish Date |
2026-07-24 07:32 |
| Citation |
He ZY, Zhan ZW, Zhou LJ, Tang J, Chen C, Yang QJ, Tian Q, Wang XH. Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population. World J Radiol 2026; 18(7): 123894
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| URL |
https://www.wjgnet.com/1949-8470/full/v18/i7/123894.htm |
| DOI |
https://doi.org/10.4329/wjr.123894 |
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