Open Access
Open access
volume 21 issue 1 publication number 14

Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis

Christoph Gräni 1
Christian Eichhorn 1
Loïc Bière 1
Kyoichi Kaneko 1
Venkatesh L. Murthy 2
Vikram Agarwal 3
Ayaz Aghayev 3
Michael Steigner 3
Ron Blankstein 1, 3
Michael Jerosch-Herold 3
Raymond Y. Kwong 1, 4
Publication typeJournal Article
Publication date2019-02-28
scimago Q1
wos Q1
SJR1.728
CiteScore7.9
Impact factor6.1
ISSN10976647, 1532429X
Cardiology and Cardiovascular Medicine
Radiological and Ultrasound Technology
Radiology, Nuclear Medicine and imaging
Abstract
Although the presence of late gadolinium enhancement (LGE) using cardiovascular magnetic resonance imaging (CMR) is a significant discriminator of events in patients with suspected myocarditis, no data are available on the optimal LGE quantification method. Six hundred seventy consecutive patients (48 ± 16 years, 59% male) with suspected myocarditis were enrolled between 2002 and 2015. We performed LGE quantitation using seven different signal intensity thresholding methods based either on 2, 3, 4, 5, 6, 7 standard deviations (SD) above remote myocardium or full width at half maximum (FWHM). In addition, a LGE visual presence score (LGE-VPS) (LGE present/absent in each segment) was assessed. For each of these methods, the strength of association of LGE results with major adverse cardiac events (MACE) was determined. Inter-and intra-rater variability using intraclass-correlation coefficient (ICC) was performed for all methods. Ninety-eight (15%) patients experienced a MACE at a medium follow-up of 4.7 years. LGE quantification by FWHM, 2- and 3-SD demonstrated univariable association with MACE (hazard ratio [HR] 1.05, 95% confidence interval [CI]:1.02–1.08, p = 0.001; HR 1.02, 95%CI:1.00–1.04; p = 0.001; HR 1.02, 95%CI: 1.00–1.05, p = 0.035, respectively), whereas 4-SD through 7-SD methods did not reach significant association. LGE-VPS also demonstrated association with MACE (HR 1.09, 95%CI: 1.04–1.15, p < 0.001). In the multivariable model, FWHM, 2-SD methods, and LGE-VPS each demonstrated significant association with MACE adjusted to age, sex, BMI and LVEF (adjusted HR of 1.04, 1.02, and 1.07; p = 0.009, p = 0.035; and p = 0.005, respectively). In these, FWHM and LGE-VPS had the highest degrees of inter and intra-rater reproducibility based on their high ICC values. FWHM is the optimal semi-automated quantification method in risk-stratifying patients with suspected myocarditis, demonstrating the strongest association with MACE and the highest technical consistency. Visual LGE scoring is a reliable alternative method and is associated with a comparable association with MACE and reproducibility in these patients. NCT03470571 . Registered 13th March 2018. Retrospectively registered.
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GOST Copy
Gräni C. et al. Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis // Journal of Cardiovascular Magnetic Resonance. 2019. Vol. 21. No. 1. 14
GOST all authors (up to 50) Copy
Gräni C., Eichhorn C., Bière L., Kaneko K., Murthy V. L., Agarwal V., Aghayev A., Steigner M., Blankstein R., Jerosch-Herold M., Kwong R. Y. Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis // Journal of Cardiovascular Magnetic Resonance. 2019. Vol. 21. No. 1. 14
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1186/s12968-019-0520-0
UR - https://doi.org/10.1186/s12968-019-0520-0
TI - Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis
T2 - Journal of Cardiovascular Magnetic Resonance
AU - Gräni, Christoph
AU - Eichhorn, Christian
AU - Bière, Loïc
AU - Kaneko, Kyoichi
AU - Murthy, Venkatesh L.
AU - Agarwal, Vikram
AU - Aghayev, Ayaz
AU - Steigner, Michael
AU - Blankstein, Ron
AU - Jerosch-Herold, Michael
AU - Kwong, Raymond Y.
PY - 2019
DA - 2019/02/28
PB - Springer Nature
IS - 1
VL - 21
PMID - 30813942
SN - 1097-6647
SN - 1532-429X
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2019_Gräni,
author = {Christoph Gräni and Christian Eichhorn and Loïc Bière and Kyoichi Kaneko and Venkatesh L. Murthy and Vikram Agarwal and Ayaz Aghayev and Michael Steigner and Ron Blankstein and Michael Jerosch-Herold and Raymond Y. Kwong},
title = {Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis},
journal = {Journal of Cardiovascular Magnetic Resonance},
year = {2019},
volume = {21},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1186/s12968-019-0520-0},
number = {1},
pages = {14},
doi = {10.1186/s12968-019-0520-0}
}