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Fanger Li

As seen in: Frontiers
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Articles

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

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By Xiaomei Yao, Siyu Yang, Zengyu Jiang, Ying Qiao, Fanger Li, Changxing Fang, Aiqi Qiao, Yongxia Hao
| Frontiers
Abstract Objective: Tumor 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 CT (SDCT)-extracted radiomics (Rad) and deep learning (DL) features.
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