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Updated: Sep 29, 2025

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
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BMI: does it predict the need for component separation?

J R Smith1,2, R Kyriakakis3, M P Pressler3

  • 1Spectrum Health Minimally Invasive Surgery Fellowship, 100 Michigan St. NE, Grand Rapids, MI, 49503, USA. Joshua.Smith2@spectrumhealth.org.

Hernia : the Journal of Hernias and Abdominal Wall Surgery
|March 21, 2022
PubMed
Summary
This summary is machine-generated.

The anterior-posterior to transverse abdominal diameter ratio on CT scans predicts the need for component separation in incisional hernia repair. This ratio, indicating intra-abdominal fat distribution, is more accurate than Body Mass Index (BMI) for surgical planning.

Keywords:
Abdominal wall reconstructionBMI primary closureComponent separationComputed tomographyIncisional herniaMeshPre-operative optimizationVentral hernia

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Area of Science:

  • Abdominal Surgery
  • Radiology
  • Hernia Repair

Background:

  • Repairing large incisional hernias presents challenges in patient optimization and technique selection.
  • Body Mass Index (BMI) is often considered for predicting intra-abdominal pressures and the need for component separation (CS), but lacks supporting data.

Purpose of the Study:

  • To assess if the anterior-posterior (AP) to transverse (TRSV) abdominal diameter ratio from pre-operative CT scans indicates increased intra-abdominal fat.
  • To determine if this ratio correlates with the need for component separation (CS) for successful tension-free closure of large incisional hernias.

Main Methods:

  • Ninety patients undergoing open incisional hernia repair were analyzed.
  • Pre-operative CT scans were used to measure hernia defect width, AP abdominal diameter, and TRSV abdominal diameter.
  • Logistic regression analysis identified predictors for surgical group categorization (primary closure vs. CS).

Main Results:

  • The AP:TRSV diameter ratio was significantly higher in patients requiring CS (0.49 ± 0.10) compared to primary closure (0.41 ± 0.08) (p < 0.001).
  • Multivariate analysis showed the AP:TRSV ratio, not BMI, predicted the need for CS (p = 0.001).
  • Average hernia defect width was larger in the CS group (9.8 cm) than the primary closure group (7.7 cm) (p = 0.015).

Conclusions:

  • The AP:TRSV abdominal diameter ratio is a valuable imaging biomarker for assessing intra-abdominal fat distribution.
  • This ratio correlates with the need for component separation in incisional hernia repair, offering a more reliable predictor than BMI.