Myocardial Fibrosis Quantification Methods by Cardiovascular Magnetic Resonance Imaging in Patients with Fabry

Justyna M Sokolska1,2, Mihály Károlyi3, Dana R Hiestand2

  • 1Institute of Heart Diseases, Faculty of Medicine, Wroclaw Medical University, 50-556 Wroclaw, Poland.

Journal of Clinical Medicine
|September 14, 2024
PubMed

Insights

Quantifying late gadolinium enhancement (LGE) in Fabry disease (FD) cardiac magnetic resonance (CMR) is crucial. Visual assessment with threshold (VAT) and 5 standard deviations (SD) are the most reliable LGE quantification methods in FD patients.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Genetics

Background:

  • Late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) indicates cardiac events in Fabry disease (FD).
  • Accurate quantification of LGE is essential for risk stratification in FD patients.
  • Standardized LGE quantification methods are needed for reproducible clinical assessment.

Purpose of the Study:

  • To determine the most reliable and reproducible technique for quantifying LGE in FD patients.
  • To compare the performance of various LGE quantification methods, including standard deviations (SD), full width at half maximum (FWHM), visual assessment with threshold (VAT), and manual methods (MM).

Main Methods:

  • Twenty FD patients with LGE underwent CMR on a single scanner with identical LGE sequences.
  • LGE quantification was performed using grayscale thresholds (2-6 SD above remote myocardium), FWHM, VAT, and MM.
  • Intra- and interobserver reproducibility and variability were assessed using intraclass correlation coefficients (ICC) and coefficient of variation (CV).

Main Results:

  • Significant variations in LGE quantification were observed across methods (p < 0.0001).
  • Visual assessment with threshold (VAT) and 5 SD demonstrated excellent interobserver reliability (ICC 0.94) and low intraobserver variability (6% CV).
  • The FWHM method showed the lowest reliability, with high intra- and interobserver variability (63% and 94% CV).

Conclusions:

  • Multiple LGE quantification methods show good to excellent reproducibility in FD patients.
  • Visual assessment with threshold (VAT) and 5 SD are the most reliable and reproducible techniques for LGE quantification in FD.
  • The FWHM method is the least reliable for LGE quantification in this patient cohort, highlighting the impact of technique choice on fibrosis assessment.

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