Nomogram combining spectral dual-layer detector CT radiomics and deep learning features predicts alveolar tumor spread

ObjectiveTumor spread through air spaces (STAS) is associated with increased lung adenocarcinoma recurrence, but it can only be identified postoperatively. Here, a predictive nomogram for detecting preoperative STAS was devised, by combining clinical characteristics with spectral dual-layer detector...

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Detalhes bibliográficos

Principais autores:	Fanger Li, Changxing Fang, Aiqi Qiao, Yongxia Hao, Xiaomei Yao, Siyu Yang, Zengyu Jiang, Sheng He, Ying Qiao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-04-01
coleção:	Frontiers in Oncology
Assuntos:	deep learning dual-layer spectral detector CT lung adenocarcinoma radiomics tumor spread through air spaces
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fonc.2026.1703790/full
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