Three-dimensional Cardiomyocytes Structure Revealed By Diffusion Tensor Imaging and Its Validation Using a

Sang-Eun Lee1,2,3, Christopher Nguyen3,4,5, Jongjin Yoon6

  • 1Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, South Korea.

Scientific Reports
|April 29, 2018
PubMed

Insights

Diffusion tensor imaging (DTI) accurately maps cardiomyocyte orientation in the heart, validated by 3D histology. This technique shows reduced helix angle transmurality in heart failure, offering a promising noninvasive tool for cardiovascular disease research.

Area of Science:

  • Biomedical Imaging
  • Cardiovascular Research
  • Histology

Background:

  • Cardiovascular diseases alter myocardial microstructure.
  • Accurate characterization of cardiomyocyte architecture is crucial for understanding heart function and disease.
  • Existing methods for assessing cardiomyocyte orientation can be invasive or lack 3D resolution.

Purpose of the Study:

  • To characterize the microstructural response of the myocardium to cardiovascular disease using diffusion tensor imaging (DTI).
  • To validate DTI findings with intact, three-dimensional (3D) histology using a tissue-clearing technique.
  • To assess the accuracy of DTI in quantifying cardiomyocyte orientation and transmurality.

Main Methods:

  • Diffusion tensor imaging (DTI) was performed on fixed ex-vivo mouse hearts (normal and ischemic heart failure models).
  • Hearts were processed using a tissue-clearing technique for intact 3D histological analysis.
  • Cardiomyocyte orientation, helix angle (HA), and global HA transmurality (HAT) were quantified and compared between DTI and 3D histology.

Main Results:

  • DTI successfully mapped cardiomyocyte orientation and was validated by 3D histology.
  • Global HAT was significantly reduced in the ischemic heart failure group compared to controls (p < 0.001).
  • Strong correlations were observed between DTI and 3D histology for cardiomyocyte orientation assessment (R²=0.803 per-sample, R²=0.872 per-segment).

Conclusions:

  • DTI is a capable and accurate tool for mapping cardiomyocyte orientation in the myocardium.
  • The study demonstrates the potential of DTI for noninvasive characterization of cardiac microstructure in disease states.
  • This approach provides valuable insights into the architectural changes associated with cardiovascular disease.

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