Combining perfusion and angiography with a low-dose cardiac CT technique: a preliminary investigation in a swine

Logan Hubbard1, Shant Malkasian1, Yixiao Zhao1

  • 1Department of Radiological Sciences, Medical Sciences I, B-140, University of California, Irvine, CA, 92697, USA.

Insights

A new low-dose cardiac CT technique accurately assesses coronary artery disease (CAD) by combining anatomical and blood flow measurements. This method reduces radiation exposure while providing essential physiological and morphological data for risk stratification.

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Medical Physics

Background:

  • Accurate risk stratification for coronary artery disease (CAD) necessitates both morphological and physiological assessment.
  • Current imaging techniques may involve significant radiation doses, posing a challenge for frequent patient monitoring.

Purpose of the Study:

  • To evaluate a novel low-dose cardiac CT technique for combined morphological and physiological assessment of CAD.
  • To determine the accuracy and radiation dose of this low-dose approach compared to a reference method.

Main Methods:

  • A low-dose cardiac CT protocol was developed, acquiring four volume scans (two rest, two stress) to measure coronary flow reserve (CFR).
  • The technique was tested in twelve swine, three with induced coronary stenosis.
  • Measurements were compared against a validated reference technique using 20 volume scans.

Main Results:

  • The low-dose technique demonstrated strong correlation with the reference method (r=0.94) for perfusion measurements.
  • Calculated perfusion values using the low-dose method were PLOW = 1.04 PREF - 0.08 mL/min/g.
  • The technique yielded a volumetric CT dose index of 8.05 mGy and SSDE of 12.80 mGy, corresponding to effective doses of 1.8 and 2.87 mSv.

Conclusions:

  • Combined morphological and physiological assessment of CAD is feasible with the evaluated low-dose cardiac CT technique.
  • This approach offers a promising method for accurate CAD risk stratification with reduced radiation exposure.