CT-Based Radiomics for Prediction of Outcome after Somatostatin Analogues in Patients with Liver Metastases of a Neuroendocrine Tumor: An Exploratory Study Abstract #2748

Introduction: Response evaluation and prediction of outcome of a neuroendocrine tumor (NET) remains difficult.
Aim(s): To explore the value of CT-based whole liver radiomics for response evaluation and grade assessment in pts treated with somatostatin analogues (SSAs) for liver metastasized NETs.
Materials and methods: Thirty-eight consecutive pts with pathologically confirmed NET (grade 1=24/grade 2=14), treated with SSAs underwent contrast-enhanced CT. The whole liver was semi-automatically delineated on arterial phase, excluding main vessels and bile ducts. Five histogram features were extracted with Pyradiomics, using different Laplacian-of-Gaussian (LoG) filters. Response (progressive disease (PD) vs. stable disease (SD) or partial response (PR)) was assessed with RECIST1.1. Response and grade were compared with Mann–Whitney-U or t-test. Univariate Cox regression was used for overall survival(OS) analyses.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Imaging and Interventions (radiology, endoscopy)
Presenting Author: Femke Staal

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