Influencing factors and prediction of growth heterogeneity in solid nodule non-small cell lung cancer based on artificial intelligence: a prospective study

Based on preoperative clinical and imaging data, rapidly growing nodules could be identified for early resection. Smoking history, CT values, and deep lobulation were critical predictors of rapid SN growth. Squamous cell carcinomas and poorly differentiated tumors accelerated nodule growth. Gene mutations drove the differentiation of NSCLC cells but did not regulate their growth rate.

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Publication Details

Journal
Translational Lung Cancer Research
Published
2025-10-01
DOI
https://doi.org/10.21037/tlcr-2025-516
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
Controls
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article

Influencing factors and prediction of growth heterogeneity in solid nodule non-small cell lung cancer based on artificial intelligence: a prospective study

Jianwei Wang, Jiaqi Chen, Jianing Liu, Shulei Cui et al.
1 citations
Translational Lung Cancer Research
Radiomics and Machine Learning in Medical Imaging
1.36
article

Influencing factors and prediction of growth heterogeneity in solid nodule non-small cell lung cancer based on artificial intelligence: a prospective study

Jianwei Wang, Jiaqi Chen, Jianing Liu, Shulei Cui, Fenglan Li, Qi Linlin
article en
1 citations

Abstract

Based on preoperative clinical and imaging data, rapidly growing nodules could be identified for early resection. Smoking history, CT values, and deep lobulation were critical predictors of rapid SN growth. Squamous cell carcinomas and poorly differentiated tumors accelerated nodule growth. Gene mutations drove the differentiation of NSCLC cells but did not regulate their growth rate.

Translational Lung Cancer ResearchVol. 14(10)
Capital Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Anzhen Hospital (CN)
Openalex Percentile: Top 14%
Radiomics and Machine Learning in Medical Imaging
1.36
DOIOpen Access PDFOpenAlex
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Influencing factors and prediction of growth heterogeneity in solid nodule non-small cell lung cancer based on artificial intelligence: a prospective study — Jianwei Wang, Jiaqi Chen, et al. · Translational Lung Cancer Research (2025) | TGRS Research Map | TGRS