Evaluation of the relationship between atherosclerotic thoracic aortic calcification and quantitative flow parameters

Hirofumi Koike1,2, Eijun Sueyoshi3, Takamasa Nishimura3

  • 1Department of Radiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki University School of Medicine, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan. kei16231623@gmail.com.

Insights

Four-dimensional (4D) MRI quantifies blood flow to assess thoracic aortic calcification (TAC). Certain blood flow parameters show weak correlations with TAC severity, suggesting potential for clinical use with further research.

Area of Science:

  • Cardiovascular Imaging
  • Biophysics
  • Medical Physics

Background:

  • Atherosclerosis is linked to abnormal blood flow patterns.
  • Thoracic aortic calcification (TAC) is a manifestation of atherosclerosis.
  • Quantifying blood flow dynamics is crucial for understanding cardiovascular disease progression.

Purpose of the Study:

  • To investigate the relationship between quantitative blood flow parameters derived from 4D flow MRI and the severity of thoracic aortic calcification (TAC).
  • To assess the potential of 4D flow MRI-derived metrics for evaluating TAC.

Main Methods:

  • Retrospective analysis of 272 patients with varying degrees of TAC (none, mild, severe) based on Agatston scores.
  • Calculation of blood flow parameters: mean thoracic aorta volume (mTAV), energy loss (EL), vorticity, and helicity (average, max, min).
  • Correlation analysis between Agatston scores and normalized blood flow parameters (divided by mTAV).

Main Results:

  • Significant differences in mTAV, EL, vorticity, and helicity were observed across TAC severity groups.
  • Weak positive correlations were found between some vorticity and helicity parameters and the Agatston score.
  • Weak negative correlations were identified for other vorticity and helicity metrics relative to TAC severity.

Conclusions:

  • 4D flow MRI provides quantitative blood flow parameters that show associations with TAC.
  • These parameters hold promise for evaluating TAC, but careful interpretation is needed due to modest associations and potential confounding factors.
  • Further research is required to establish the clinical utility of these quantitative measures for TAC diagnosis, grading, and prediction.