Ricerc@Sapienza

Aims and methods: This multicenter retrospective study aims to evaluate the correlations between Body Weight Loss (BWL), Body Mass Index (BMI) and clinical outcomes (ORR, PFS, and OS) of advanced gastric cancer (aGC) patients treated with second-line ramucirumab-based therapy in a “real-life” setting. Results: From December 2014 to October 2018, 101 consecutive aGC patients progressed to a first-line chemotherapy were treated with ramucirumab alone (10.9%) or in combination with paclitaxel (89.1%). Median BMI was 21.2 kg/m2 and mBWL since first-line treatment commencement was 4.5%.

Purpose: To develop and validate an Artificial Intelligence (AI) model based on texture analysis of high-resolution T2 weighted MR images able 1) to predict pathologic Complete Response (CR) and 2) to identify non-responders (NR) among patients with locally-advanced rectal cancer (LARC) after receiving neoadjuvant chemoradiotherapy (CRT). Method: Fifty-five consecutive patients with LARC were retrospectively enrolled in this study. Patients underwent 3 T Magnetic Resonance Imaging (MRI) acquiring T2-weighted images before, during and after CRT.