Evidence map›Paper›PMID 40634884›Full record

ArticleBMC pulmonary medicine2025

Nomogram and risk-score for predicting overall survival and risk stratification in patients with sarcomatoid non-small cell lung cancer: a multicenter study of 135 patients.

Wenjian Tang, Yujin Yin, Chunju Wen, Shuhua Luo, Jinsheng Huang, Bo Lan, Yuan Kang, Zhiqiang Zhang, Zhongjian Liao, Zhen Wu and 8 more

Abstract readMulticenter Study
In one paragraph

Article in BMC pulmonary medicine, 2025. 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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2 · The registry

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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

18 authors.

Wenjian Tang *Ganzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China.
Yujin Yin *Ganzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China.
Chunju Wen *Department of Hematology, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China.
Shuhua LuoGanzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China.
Jinsheng HuangGanzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China.
Bo LanGanzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China.
Yuan KangGanzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China.
Zhiqiang ZhangGanzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China.
Zhongjian LiaoDepartment of Nuclear Medicine, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China.
Zhen WuDepartment of Pathology, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China.
Qing ChenDepartment of Pathology, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China.
Jiawang WeiDepartment of Oncology, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China.
Jing QiuDepartment of Medical Imaging, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Xingting QiuDepartment of Medical Imaging, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Hua ChenDepartment of Nuclear Medicine, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China.
Ming JiaDepartment of Radiology, Southern Medical University Nanfang Hospital, Guangzhou, 510515, China. 4492891@qq.com.
Junyuan ZhongGanzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China. JunyuanZhong@126.com.
Jianping ZhongGanzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, 16th Meiguan Avenue, Ganzhou, 341000, P.R. China. zhongjianping@mail.gzsrmyy.com.

Funding

Clinical Research Center for Medical Imaging in Jiangxi Province 20223BCG7400199Ganzhou Health Commission Scientific Research Planning Project GZWJW202402108Ganzhou Science and Technology Planning Project GZ2024YLJ016, GZ2024YLJ026, GZ2024ZSF064 and 2022-ZD1373National Natural Science Foundation of China 82160330Science and Technology Program of the Health Commission of Jiangxi Province 2025110045
6 · The paper itself

Abstract

backgroundTo explore the clinical data and CT findings associated with outcomes prognosis of patients with sarcomatoid non-small cell lung cancer (s-NSCLC). MATERIALS AND

methodsIn this retrospective study, s-NSCLC patients who underwent contrast-enhanced thoracic CT from January 2013 to June 2023 at three centers were enrolled. Clinicoradiological data, including sex, age, smoking status, tumor-node-metastasis (TNM) classification, tumor size, tumor location, calcification, vacuole/cavity, hydrothorax, low-attenuation area (LAA) ratio and peritumoral ground-glass opacity (GGO) or nodules were calculated. Clinical and CT findings associated with overall survival (OS) were evaluated by a multivariate Cox regression model.

resultsA total of 135 patients with s-NSCLC in three centers were included. s-NSCLC patients were more likely to be elderly male smokers. The mean age and tumor size at diagnosis were 62 years and 5.8 cm, respectively. The median survival time of patients with s-NSCLC was 9 (95% CI: 7, 11) months. The 1-, 2- and 3-year OS rates of the s-NSCLC patients were 36.6%, 26.7% and 21.4%, respectively. s-NSCLC is often peripherally located (98/135, 70.4%). Calcification and vacuole/cavity were rare in s-NSCLC lesions. The hydrothorax was present in 36/135 (26.7%) s-NSCLC patients. The s-NSCLC lesions usually presented with LAA (87/135, 80.6%), and the median LAA ratio was 30.8% (interquartile range, IQR: 10.6%, 50.7%). In the multivariate Cox regression analysis, smoking status (hazard ratio, HR = 1.668 [95% CI: 1.040, 2.678]), tumor size (HR = 1.818 [95% CI: 1.167, 2.832]), peritumoral GGO or nodules (HR = 2.064 [95% CI: 1.090, 3.909]) and M stage (HR = 2.479 [95% CI: 1.476, 4.164]) were associated with increased mortality, whereas surgery (HR = 0.467 [95% CI: 0.274, 0.797]) was associated with decreased mortality. We constructed a nomogram for predicting the 1-, 2- and 3-year OS rates of s-NSCLC patients, and the AUCs were 0.867, 0.905 and 0.911, respectively. Risk-score = 0.512×smoking status + 0.598×tumor size + 0.725×peritumoral GGO or nodules+(-0.761)×surgery + 0.908×M stage.

conclusionThe multivariate Cox regression model, which includes factors such as smoking status, tumor size, peritumoral GGO or nodules, surgery and M stage, is helpful in predicting the OS and risk stratification of s-NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNomogramsAdultAgedFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentSurvival RateTomography, X-Ray ComputedComputed tomographyNomogramNon-small cell lung cancerPrognosisSarcomatoid carcinoma

Identifiers

PMID40634884
PMCPMC12243292

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