Assessment of atherosclerotic luminal narrowing of coronary arteries based on morphometrically generated visual

Rolf F Barth1, David A Kellough1, Patricia Allenby1

  • 1Department of Pathology, The Ohio State University, Columbus, OH, USA.

Insights

Computer-generated visual guides improve the accuracy of assessing coronary artery stenosis during postmortem examinations. These digital tools enhance consistency among pathologists, aiding in precise diagnosis of atherosclerotic narrowing.

Area of Science:

  • Forensic pathology
  • Cardiovascular pathology
  • Digital imaging in pathology

Background:

  • Accurate assessment of coronary artery stenosis is crucial in postmortem examinations.
  • Traditional methods for estimating luminal narrowing are often imprecise approximations.
  • Digital technology offers potential for more objective assessment tools.

Purpose of the Study:

  • To develop and validate computer-generated morphometric visual guides for estimating coronary artery stenosis.
  • To improve the precision and consistency of assessing atherosclerotic luminal narrowing.

Main Methods:

  • Digital whole-slide images of coronary artery cross-sections were created.
  • Computer-generated visual guides depicting various stenosis percentages (20-90%) were developed using Adobe Photoshop.
  • Pathologists scored stenosis using the guides, and results were compared to digital morphometric measurements.

Main Results:

  • Strong interobserver agreement (intraclass correlation coefficients 0.874-0.899) was achieved using the visual guides.
  • Visual scores averaged approximately 8% lower than precise morphometric assessments.
  • The guides demonstrated reliability across pathologists with varying experience levels.

Conclusions:

  • Computer-generated visual guides provide a valuable tool for assessing atherosclerotic luminal narrowing in coronary arteries.
  • These guides enhance diagnostic accuracy and consistency for pathologists of all experience levels.
  • The digital approach offers a more objective method compared to traditional estimations.
Abstract