What type of study is this?

This is a Quantitative Study study.

September 17, 2025

Improve Model Performance Rectal Cancer Staging by Radiomics Analysis of Diffusion-weighted Imaging and T2-weighted Imaging

Key Points

Radiomics analysis significantly improved the model performance for staging rectal cancer patients ≥T3.
The optimal combination of imaging techniques DWI_b800+T2WI resulted in an AUC of 0.889 for identifying advanced rectal cancer.
Bounding box emerged as the most effective strategy for determining tumor regions for analysis in rectal cancer cases.
Using combined imaging strategies offers enhanced accuracy compared to using single imaging modalities for tumor staging.

Abstract

Motivation: Accurate preoperative tumor staging is important for treatment decisions of rectal cancer (RC). Radiomics can be helpful in identifying tumor stages. Goal (s): To improve model performance of tumor staging (≥T3 or <T3) in RC patients by radiomics. Approach: Five image contrasts, including diffusion-weighted, apparent diffusion coefficient, T2-weighted, and their combinations, were analyzed. The targeting regions were determined by five strategies: bounding box, manually determined tumor region of interest (ROI), and ROIs with dilation of 1, 3, and 5 pixels. Results: The DWIb800+T2WI and DWI+FS-T2WI with bounding box and CatBoost achieved an accurate AUC=0. 889 for identifying RC patients ≥T3. Impact: Compared to extracting features from DWI or T2WI solely, radiomics analysis of combinations of DWIb800+T2WI or DWIb800+FS-T2WI exhibited better AUC and TNR in identifying rectal cancer patients ≥T3. A bounding-box was the best strategy for determining the analyzed region.

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