https://scholars.lib.ntu.edu.tw/handle/123456789/637323
標題: | CT-Based Deep-Learning Model for Spread-Through-Air-Spaces Prediction in Ground Glass-Predominant Lung Adenocarcinoma | 作者: | MONG-WEI LIN Chen, Li-Wei SHUN-MAO YANG Hsieh, Min-Shu Ou, De-Xiang Lee, Yi-Hsuan JIN-SHING CHEN YEUN-CHUNG CHANG CHUNG-MING CHEN |
關鍵字: | Computed tomography; Deep learning; Lung adenocarcinoma; Radiomics analysis; Spread through air spaces; Sublobar resection | 公開日期: | 13-十一月-2023 | 來源出版物: | Annals of surgical oncology | 摘要: | Sublobar resection is strongly associated with poor prognosis in early-stage lung adenocarcinoma, with the presence of tumor spread through air spaces (STAS). Thus, preoperative prediction of STAS is important for surgical planning. This study aimed to develop a STAS deep-learning (STAS-DL) prediction model in lung adenocarcinoma with tumor smaller than 3 cm and a consolidation-to-tumor (C/T) ratio less than 0.5. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637323 | ISSN: | 10689265 | DOI: | 10.1245/s10434-023-14565-2 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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