CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma

ConclusionCT-based radiomics model can preoperatively predict STAS in lung adenocarcinoma with good diagnosis performance.Key Points• CT-based radiomics and machine learning model can predict spread through air space (STAS) in lung adenocarcinoma with high accuracy.• The random forest (RF) model achieved an AUC of 0.754 (a sensitivity of 0.880 and a specificity of 0.588) for predicting STAS.
Source: European Radiology - Category: Radiology Source Type: research