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Feature-Tracking Strain Parameters Differ Between Highly Accelerated and Conventional Acquisitions: A Multisoftware

Moritz C Halfmann1,2, Tim Klimzak1, U Joseph Schoepf3

  • 1Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University.

Journal of Thoracic Imaging
|November 20, 2023
PubMed
Summary
This summary is machine-generated.

Cardiac MRI postprocessing software shows strong agreement between compressed sensing (CS) and conventional cine sequences, but lower strain and volumetric parameters in CS acquisitions necessitate awareness for accurate patient follow-up.

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Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Radiology

Background:

  • Accelerated cardiac MRI protocols, including compressed sensing (CS), enable faster, more efficient acquisitions.
  • Evaluating postprocessing software for CS and conventional cine sequences is crucial for clinical application.

Purpose of the Study:

  • To assess intersoftware and interacquisition variability in cardiac MRI postprocessing.
  • To compare the performance of software solutions on both compressed sensing (CS) and conventional cine sequences.

Main Methods:

  • 106 participants (volunteers and cardiomyopathy patients) underwent 3T cardiac MRI with conventional cine and CS sequences.
  • Postprocessing was performed using three different software solutions.
  • Agreement was assessed using Bland-Altmann analyses and intraclass correlation coefficients; differences were analyzed with Kruskal-Wallis tests.

Main Results:

  • Significant intersoftware and interacquisition differences were found for most parameters.
  • Intraclass correlation coefficients between acquisitions were strong to excellent (≥0.81).
  • Bland-Altmann analyses showed less bias for cine acquisitions compared to CS acquisitions, and conventional cutoffs did not misclassify patients when applied to CS data.

Conclusions:

  • Retrospectively gated CS acquisitions yielded lower strain and volumetric parameters than conventional cine.
  • Despite variations, strong agreement exists among software and acquisition types.
  • Awareness of acquisition type is vital for follow-up to prevent misclassification due to differing cutoffs.