Related Experiment Video
Updated: Aug 14, 2026
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
CT-Derived Predictors of Incisional Hernia Following Colorectal Cancer Resection: A Systematic Review
Mohamed Alfatih Hamza1, Omar Abu Saadeh2, Hugo C Temperley3,4
1Department of Surgery, St. James's Hospital, D08 NHY1 Dublin, Ireland.
Diagnostics (Basel, Switzerland)
|August 13, 2026
Summary
Computed tomography (CT) scans can identify body composition predictors for incisional hernias (IH) after colorectal cancer (CRC) surgery. While promising, evidence certainty is low, requiring further validation for clinical use.
Area of Science:
- Radiology and Imaging
- Surgical Oncology
- Body Composition Analysis
Background:
- Incisional hernia (IH) is a common complication after colorectal cancer (CRC) resection.
- Identifying reliable preoperative predictors for IH is crucial for patient management.
Purpose of the Study:
- To systematically review computed tomography (CT)-derived body composition and morphological predictors of incisional hernia (IH) following colorectal cancer (CRC) resection.
Main Methods:
- Comprehensive literature search across multiple databases (PubMed/MEDLINE, Embase, Scopus, Web of Science, Cochrane Library, CINAHL) up to May 2026.
- Inclusion of nine retrospective cohort studies (2392 patients) reporting CT-derived IH predictors.
- Narrative synthesis of findings due to heterogeneity; certainty of evidence assessed using GRADE.
Main Results:
- IH incidence varied widely (4.5%–33.6%) across studies.
- Visceral adiposity, subcutaneous adiposity, sarcobesity, and umbilical morphological metrics (umbilical fat, intraperitoneal thickness, umbilical orifice enlargement) were associated with IH.
- Umbilical fat demonstrated the largest adjusted effect estimate (HR 6.56).
Conclusions:
- Preoperative CT-derived body composition data shows potential for IH risk stratification after CRC resection.
- Current evidence certainty is low to very low.
- Prospective multicentre validation with standardized CT protocols is necessary for clinical implementation.
