Evidence map›Paper›PMID 41939478›Full record

ArticleFrontiers in oncology2026

Risk factors for fast-growing lung cancers detected on chest CT: a retrospective cohort study.

Linxin Liu, Rui Zhang, Renjie Xu, Bojiang Chen, Yi Lei, Weimin Li

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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Linxin Liu *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Rui Zhang *State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Renjie XuState Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Bojiang ChenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yi LeiState Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Weimin LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chest CT follow-up is frequently used before a lung cancer is diagnosed. The current study aims to explore the risk factors for the fast-growing lung cancers through a retrospective cohort study. Methods: This study selected eligible participants from a cohort of 39799 patients pathologically diagnosed with primary lung cancer at West China Hospital of Sichuan University from 2009 to 2020. Ultimately, 1693 patients were included, who were followed up with at least two chest CT images available before diagnosis. The volume/mass doubling time (VDT/MDT) of all lung cancers were calculated, and a fast-growing lung cancer was defined if the VDT/MDT was less than 400 days. Multivariate logistic regression analysis was used to explore risk factors associated with fast-growing lung cancers in the overall population, as well as in the solid and subsolid subgroups. Results: Among the 1693 patients (median age 56 years, 37% male, 21% ever smokers, 27% with solid density), 302 (18%) were classified as having fast-growing lung cancer. In the subgroup analysis of solid versus subsolid groups, fast-growing lung cancer accounted for 41% and 9.4%, respectively. In the overall population, risk factors independently associated with rapid growth included solid density, male sex, smoking history, personal and family history of malignancy. In the solid subgroup, the risk factors were male sex and smoking history, while in the subsolid subgroup, only smoking history was significant. Additionally, analysis of 128 patients with a 56-gene panel (18% with rapid growth) identified TP53 as an independent risk factor for fast growth. Conclusions: This study found risk factors associated with fast-growing lung cancers, helping to identify patients at high risk of disease progression.

Indexed as

fast-growinglung cancerrisk factorsolid densityTP53 mutation

Identifiers

PMID41939478
PMCPMC13046516

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.