Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population

doi:10.4329/wjr.123894

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World Journal of Radiology

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1949-8470

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Copyright: ©Author(s) 2026. 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.

World J Radiol. Jul 28, 2026; 18(7): 123894
Published online Jul 28, 2026. doi: 10.4329/wjr.123894

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Figure 1 Representative outputs from the SIMBIO-T 1. 0.0 artificial intelligence-based whole-lung quantitative analysis platform. (Hangzhou Shimai Intelligent Technology Co., Ltd.): Low-attenuation area percentage, interstitial lung abnormality, airway wall area percentage, and coronary artery calcification score.

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
URL: https://www.wjgnet.com/1949-8470/full/v18/i7/123894.htm
DOI: https://dx.doi.org/10.4329/wjr.123894

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 [PMID: 42529724 DOI: 10.4329/wjr.123894]

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