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Dataset Information

Textural heterogeneity of liver lesions in CT imaging - comparison of colorectal and pancreatic metastases.


ABSTRACT:

Purpose

Tumoral heterogeneity poses a challenge for personalized cancer treatments. Especially in metastasized cancer, it remains a major limitation for successful targeted therapy, often leading to drug resistance due to tumoral escape mechanisms. This work explores a non-invasive radiomics-based approach to capture textural heterogeneity in liver lesions and compare it between colorectal cancer (CRC) and pancreatic cancer (PDAC).

Materials and methods

In this retrospective single-center study 73 subjects (42 CRC, 31 PDAC) with 1291 liver metastases (430 CRC, 861 PDAC) were segmented fully automated on contrast-enhanced CT images by a UNet for medical images. Radiomics features were extracted using the Python package Pyradiomics. The mean coefficient of variation (CV) was c

SUBMITTER: Pietsch FL 

PROVIDER: S-EPMC11522118 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature