Development and validation of a predictive model for pathological upgrading in colorectal polyps based on endoscopic forceps biopsy

This study developed and validated a risk prediction model for pathological upgrade of colorectal polyps based on five endoscopic factors, including rectal location, maximum tumor diameter (MTD) ≥ 30 mm, villous structure, erosion, and a red surface color. The model serves as a practical clinical tool that allows endoscopists to assess patient risk with high accuracy before treatment. By helping identify high-risk polyps that may need wider resection or closer follow-up, the model supports more personalized treatment decisions and may reduce both under-treatment and over-treatment. Its use is expected to improve individual patient management and enhance the effectiveness of colorectal cancer prevention.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-02-13
DOI
https://doi.org/10.3389/fmed.2026.1748424
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
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article

Development and validation of a predictive model for pathological upgrading in colorectal polyps based on endoscopic forceps biopsy

Ziyao Cheng, F. Yu, Chang Zhang
Frontiers in Medicine
Colorectal Cancer Screening and Detection
article

Development and validation of a predictive model for pathological upgrading in colorectal polyps based on endoscopic forceps biopsy

Ziyao Cheng, F. Yu, Chang Zhang
article en

Abstract

This study developed and validated a risk prediction model for pathological upgrade of colorectal polyps based on five endoscopic factors, including rectal location, maximum tumor diameter (MTD) ≥ 30 mm, villous structure, erosion, and a red surface color. The model serves as a practical clinical tool that allows endoscopists to assess patient risk with high accuracy before treatment. By helping identify high-risk polyps that may need wider resection or closer follow-up, the model supports more personalized treatment decisions and may reduce both under-treatment and over-treatment. Its use is expected to improve individual patient management and enhance the effectiveness of colorectal cancer prevention.

Frontiers in MedicineVol. 13
Nanchang University (CN), Anhui Medical University (CN), Fourth Affiliated Hospital of Anhui Medical University (CN), First Affiliated Hospital of Nanchang University (CN)
Reduced inequalities
Openalex Percentile: Top 56%
Colorectal Cancer Screening and Detection
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