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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Detaylı Bibliyografya
Asıl Yazarlar:	Fanger Li, Changxing Fang, Aiqi Qiao, Yongxia Hao, Xiaomei Yao, Siyu Yang, Zengyu Jiang, Sheng He, Ying Qiao
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Frontiers Media S.A. 2026-04-01
Seri Bilgileri:	Frontiers in Oncology
Konular:	deep learning dual-layer spectral detector CT lung adenocarcinoma radiomics tumor spread through air spaces
Online Erişim:	https://www.frontiersin.org/articles/10.3389/fonc.2026.1703790/full
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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