P2.09-01 MRI-based Radiomic Signature to Predict Pathologic High-grade Pattern in Lung Adenocarcinoma

Abstract

While curative resection is the established treatment in N0 early lung adenocarcinoma patients, recurrence have been reported to be more than 30% and one of the risk factors can be attributed to micropapillary and solid pattern in histology, both being high-grade patterns associated with adverse outcome. Also, incorporation of high-grade pattern in lung adenocarcinoma grading system yields good correlation with prognosis. In this regard, our study focuses on developing the first prediction model to find quantitative MRI features of micropapillary or solid pattern (MPsol) in lung adenocarcinoma by radiomics approach.