Publication Name	World Journal of Radiology
Manuscript ID	123894
DOI	10.4329/wjr.123894
Country	China

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
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
Funding Agency and Grant Number	Funding Agency Grant Number Hunan Provincial Natural Science Foundation Regional Joint Fund Project 024JJ7652
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.
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; In press DOI: https://doi.org/10.4329/wjr.123894
PDF	123894-in-press.pdf

Received	2026-06-02 07:22
Peer-Review Started	2026-06-02 07:23
First Decision by Editorial Office Director	2026-06-11 02:06
Return for Revision	2026-06-11 02:06
Revised	2026-06-23 07:36
Publication Fee Transferred	2026-07-01 09:15
Second Decision by Editor	2026-07-08 02:36
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-07-08 07:33
Articles in Press	2026-07-08 07:33
Edit the Manuscript by Language Editor
Typeset the Manuscript

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.
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