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


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 ENETSConcerence (2020)

Presenting Author:

Authors: Staal F, Taghavi M, van Treijen M, Tesselaar M, Beets-Tan R,

Keywords: Radiomics, CT, Liver metastases, Response, Outcome prediction,

To read the full abstract, please log into your ENETS Member account.