Differentiation of predominant subtypes of lung adenocarcinoma using a quantitative radiomics approach on CT

ConclusionsPredominant subtype-based prognostic groups of lung adenocarcinoma were classified by a CT-based radiomic model with comparable performance to radiologists.Key Points• A CT-based radiomic model differentiated three prognosis-based subtype groups of lung adenocarcinoma with areas under the curve (AUCs) of 0.892 and 0.895 on development and test sets, respectively.• The CT-based radiomic model showed near perfect discrimination between group 0 and group 2 (AUCs, 0.984–1.000).• The accuracy of the CT-based radiomic model was comparable to the averaged accuracy of the three radiologists with 6, 7, and 19 years of clinical experience in chest CT (73.0% vs. 61.7%, p = 0.059), achieving a higher positive predictive value for group 2 than the observers (85.7% vs. 35.0– 48.4%).
Source: European Radiology - Category: Radiology Source Type: research