Late Gadolinium Enhancement for Prediction of Mutation-Positive Hypertrophic Cardiomyopathy on the Basis of Panel-Wide Sequencing

Circ J. 2018 Mar 23;82(4):1139-1148. doi: 10.1253/circj.CJ-17-1012. Epub 2018 Feb 3.

Abstract

Background: Cardiac magnetic resonance (CMR) with late gadolinium enhancement (LGE) revealed a substantial variation in the extent of myocardial scarring, a pathological hallmark of hypertrophic cardiomyopathy (HCM). However, few data exist regarding the relationship between the presence of gene mutations and the extent of LGE. Therefore, we aimed to investigate whether variations in the extent of LGE in HCM patients can be explained by the presence or absence of disease-causing mutations.Methods and Results:We analyzed data from 82 unrelated HCM patients who underwent both LGE-CMR and next-generation sequencing. We identified disease-causing sarcomere gene mutations in 44 cases (54%). The extent of LGE on CMR was an independent factor for predicting mutation-positive HCM (odds ratio 2.12 [95% confidence interval 1.51-3.83], P<0.01). The area under the curve of %LGE was greater than that of the conventional Toronto score for predicting the presence of a mutation (0.96 vs. 0.69, P<0.01). Sensitivity, specificity, positive predictive value, and negative predictive value of %LGE (cutoff >8.1%) were 93.2%, 89.5%, 91.1%, and 91.9%, respectively.

Conclusions: The results demonstrated that %LGE clearly discriminated mutation-positive from mutation-negative HCM in a clinically affected HCM population. HCM with few or no myocardial scars may be genetically different from HCM with a higher incidence of myocardial scars.

Keywords: Cardiac magnetic resonance imaging; Fibrosis; Hypertrophic cardiomyopathy.

MeSH terms

  • Adult
  • Aged
  • Area Under Curve
  • Cardiomyopathy, Hypertrophic / genetics*
  • Cicatrix
  • Contrast Media
  • Female
  • Gadolinium*
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Magnetic Resonance Imaging, Cine / methods*
  • Male
  • Middle Aged
  • Mutation*
  • Predictive Value of Tests
  • Sarcomeres / genetics
  • Sarcomeres / pathology*
  • Sensitivity and Specificity

Substances

  • Contrast Media
  • Gadolinium