Non-invasive assessment of microcirculatory resistance by coronary computed tomography angiography

Dan Deng1,2, Ping Zhu1,2, Xiaolong Qu1,2

  • 1Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Army Medical University, Chongqing, China.

Insights

A new non-invasive index of microcirculatory resistance (IMRCT) derived from coronary computed tomography angiography accurately diagnoses coronary microvascular disease (CMD). This method significantly reduces underdiagnosis rates, offering a promising alternative to invasive procedures.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Techniques

Background:

  • Coronary microvascular disease (CMD) is prevalent and prognostically significant but often underdiagnosed.
  • Current diagnostic methods for CMD are complex and invasive, limiting accessibility.
  • There is a need for non-invasive diagnostic tools for CMD.

Purpose of the Study:

  • To introduce and validate a non-invasive index of microcirculatory resistance derived from coronary computed tomography angiography (IMRCT).
  • To assess the diagnostic performance of IMRCT for accurate CMD diagnosis.
  • To evaluate the potential of IMRCT in reducing CMD underdiagnosis.

Main Methods:

  • Retrospective cohort study of patients undergoing CCTA and invasive coronary functional assessments.
  • Calculation of IMRCT by blinded evaluators.
  • Comparison of IMRCT with invasively measured index of microcirculatory resistance (IMR), with IMR ≥25 defining CMD.

Main Results:

  • IMRCT demonstrated good correlation with invasive IMR at both vessel (r=0.71) and patient (r=0.72) levels.
  • Diagnostic accuracy for CMD was 81.9% at the vessel level and 80.7% at the patient level.
  • In patients with non-obstructive coronary artery disease, IMRCT reduced underdiagnosis rates from over 35% to below 6%.

Conclusions:

  • IMRCT is a valuable, non-invasive tool for diagnosing coronary microvascular disease.
  • This index complements existing diagnostic approaches and addresses their limitations.
  • IMRCT shows significant potential to reduce CMD misdiagnosis rates.
Abstract

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