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CoreSlicer: a web toolkit for analytic morphomics.

Louis Mullie1,2, Jonathan Afilalo3,4,5

  • 1Department of Medicine, McGill University, 3755 Cote Ste Catherine Rd, E-222, Montreal, QC, H3T 1E2, Canada.

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Summary

CoreSlicer software allows clinicians to easily measure body composition from CT scans. This tool provides accurate morphomic markers for risk prediction, improving clinical decision-making.

Keywords:
Analytic morphomicsBody composition analysisComputed tomographyMedical image segmentationMorphometric analysisObesityPlanimetric measurementsSarcopenia

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Area of Science:

  • Medical imaging analysis
  • Quantitative morphology
  • Clinical informatics

Background:

  • Analytic morphomics uses medical imaging, primarily CT scans, to measure body composition biomarkers.
  • Existing literature supports morphomic markers for risk prediction in various patient groups.
  • Limited healthcare provider adoption is due to a lack of user-friendly software for these measurements.

Purpose of the Study:

  • To introduce CoreSlicer, a free, open-source, web-based tool for analytic morphomics.
  • To describe CoreSlicer's interface and features for clinical use.
  • To validate muscle and fat measurements from CoreSlicer against established software.

Main Methods:

  • CoreSlicer was developed as a web-based interface for analytic morphomics.
  • It includes DICOM viewing tools and a plugin architecture for new marker development.
  • Clinical studies were conducted to assess usability and predictive accuracy.

Main Results:

  • CoreSlicer measurements of muscle and fat demonstrated high agreement with reference software.
  • The software was successfully used by clinicians without prior imaging expertise.
  • CoreSlicer facilitated operative risk prediction in cardiovascular patient cohorts.

Conclusions:

  • CoreSlicer empowers non-specialist clinicians to extract morphomic markers from CT images.
  • Measurements are reproducible and accurate when compared to reference standards.
  • The software supports risk stratification in clinical practice.