CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma
- 28 February 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in European Radiology
- Vol. 30 (7), 4050-4057
- https://doi.org/10.1007/s00330-020-06694-z
Abstract
Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk factor for recurrence and worse prognosis of lung adenocarcinoma. The aims of this study are to develop and validate a computed tomography (CT)‑based radiomics model for preoperative prediction of STAS in lung adenocarcinoma.This publication has 17 references indexed in Scilit:
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