Computed Tomography-Based Habitat Analysis for Prognostic Stratification in Colorectal Liver Metastases.

ABSTRACT:

Background

Colorectal liver metastasis (CRLM) has a poor prognosis, and traditional prognostic models have certain limitations in clinical application. This study aims to evaluate the prognostic value of CT-based habitat analysis in CRLM patients and compare it with existing traditional prognostic models to provide more evidence for individualized treatment of CRLM patients.

Methods

This retrospective study included 197 patients with CRLM whose preoperative contrast-enhanced CT images and corresponding DICOM Segmentation Objects (DSOs) were obtained from The Cancer Imaging Archive (TCIA). Tumor regions were segmented, and habitat features representing distinct subregions were extracted. An unsupervised K-means clustering algorithm classified the tumors into two clusters base

SUBMITTER: Zhou C 

PROVIDER: S-EPMC11897531 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature