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Peritumoral features for assessing invasiveness of lung adenocarcinoma manifesting as ground-glass nodules

Abstract We evaluated the predictive value of radiomics features from different peritumoral ranges for the invasiveness of ground-glass nodular lung adenocarcinoma using various machine learning models. This retrospective study included 317 patients with 323 ground-glass nodules diagnosed as minimal...

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主要な著者: Xiao Wang, Hui Xue, Wei Ding, Fei Huang, Yu Zhang, Xin Pang
フォーマット: Artigo
言語:Inglês
出版事項: Nature Portfolio 2025-04-01
シリーズ:Scientific Reports
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オンライン・アクセス:https://doi.org/10.1038/s41598-025-99180-9
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