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May 9, 2026Veterinary Radiology & UltrasoundOpen Access

Optimizing CT‐Based Models for Predicting Whole‐Body Fat in Rabbits

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Population

Rabbits

Comparison

Different body regions, CT number ranges, and counting techniques

Authors

PPPanida PongvittayanonAPAnna Hvidbjerg PoulsenCOCecilie Olsen

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Overview

Caution advised before human CV application; leaves open hypothesis-generating value in animal models of cardiometabolic disease.

Key Points

  • The aim is to optimize CT-based models for accurately predicting whole-body fat in rabbits.
  • Utilized CT data from various body regions in rabbits.
  • Implemented different counting techniques including one-dimensional and three-dimensional.
  • Analyzed HU ranges to determine optimal conditions for fat prediction.
  • Best model predicts whole-body fat percentage using CT data from the left kidney region, HU Range 2, with p < 0.001.
  • Optimal model for total body fat uses abdominal region data, HU Range 1, indicating strong model performance.

Cite This Study

Pongvittayanon et al. (2026) studied this question.

synapsesocial.com/papers/69fed03cb9154b0b8287736ahttps://doi.org/10.1111/vru.70160
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