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Open access Oct 2026

Explainable machine learning integrating CT-derived intratumoral heterogeneity for histological subtype prediction in pure ground-glass lung adenocarcinoma: multicenter validation and transcriptomic characterization

Background Preoperative differentiation of lepidic-predominant adenocarcinoma from other histological subtypes in lung adenocarcinoma presenting as pure ground-glass nodules remains challenging. We evaluated whether a CT-derived intratumoral heterogeneity score provides complementary predictive and biological informati...

Ying-Ru Deng, Jia-Jun Liu, Ding-Hua Li et al. · 0 citations
Open access Sep 2026

Topologically distinct intratumoral heterogeneity scores for predicting high-risk pathological grades in invasive lung adenocarcinoma: A multicenter study across four institutions

The topologically distinct 3D ITH score may provide a clinically meaningful imaging biomarker for preoperative risk stratification in IAC and may provide a clinically meaningful imaging biomarker for preoperative risk stratification in IAC.

Shan-Yue Lin, Yu-Dian Mao, Qian He et al. · 0 citations

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