Potential of optical frequency domain imaging for differentiation between early and advanced coronary atherosclerosis

Takahiro Imanaka1,2, Kenichi Fujii3, Takamasa Tanaka1,2

  • 1Department of Cardiovascular and Renal Medicine, Hyogo College of Medicine, Hyogo, Japan.

Insights

Optical frequency domain imaging (OFDI) can distinguish fibroatheroma (FA) from pathological intimal thickening (PIT) by analyzing lipid plaque dimensions. While signal attenuation was similar, OFDI effectively differentiates these conditions based on lipid extent and cap thickness.

Area of Science:

  • Cardiovascular Imaging
  • Histopathology
  • Atherosclerosis Research

Background:

  • Distinguishing between fibroatheroma (FA) and pathological intimal thickening (PIT) is crucial for understanding plaque progression.
  • Optical frequency domain imaging (OFDI) is an advanced imaging technique with potential for in vivo plaque characterization.

Purpose of the Study:

  • To evaluate the accuracy of OFDI in differentiating FA from PIT compared with histopathology.
  • To assess specific OFDI parameters for distinguishing these two atherosclerotic lesion types.

Main Methods:

  • Analysis of 631 histological cross-sections from 14 autopsy hearts.
  • Comparison of OFDI images with corresponding histopathology for diagnosing PIT and FA.
  • Measurement of OFDI signal attenuation rate, lipid length, lipid arc, and fibrous cap thickness.

Main Results:

  • No significant difference in OFDI signal attenuation rate between FA and PIT (p=0.13).
  • FA showed significantly longer lipid length (p<0.0001), larger lipid arc (p<0.0001), and thinner fibrous cap thickness (p=0.019) compared to PIT.
  • Histopathology confirmed 190 cases of PIT and 120 cases of FA.

Conclusions:

  • OFDI demonstrates potential for discriminating FA from PIT.
  • Discrimination is based on the longitudinal and circumferential extent of lipid plaque, not signal attenuation rate.
  • OFDI parameters like lipid length, arc, and cap thickness are key differentiators.
Abstract

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