Literature DB >> 21045187

Hypertrophic cardiomyopathy: quantification of late gadolinium enhancement with contrast-enhanced cardiovascular MR imaging.

Caitlin J Harrigan1, Dana C Peters, C Michael Gibson, Barry J Maron, Warren J Manning, Martin S Maron, Evan Appelbaum.   

Abstract

PURPOSE: To determine the most reproducible semiautomated gray-scale thresholding technique for quantifying late gadolinium enhancement (LGE) in a large cohort of patients with hypertrophic cardiomyopathy (HCM).
MATERIALS AND METHODS: All study patients signed a statement approved by the internal review boards of the participating institutions, agreeing to the use of their medical information for research purposes. LGE cardiovascular magnetic resonance (MR) imaging was performed in 201 patients (71% male) with a mean age of 41.5 years ± 17.6 (standard deviation [SD]) by using standard techniques with administration of 0.2 mmol of gadopentetate dimeglumine per kilogram of body weight. The presence and quantity of LGE were determined first with visual assessment; then with gray-scale thresholds of 2 SDs, 4 SDs, and 6 SDs above the mean signal intensity for the normal remote myocardium; and then with 2 SDs above noise. The LGE quantifications were repeated 4 or more weeks apart to assess reproducibility. Bland-Altman analysis and correlation coefficients were used to compare the visual and various thresholding methods, with normally distributed variables expressed as means ± SDs.
RESULTS: LGE was identified in 103 (51%) subjects. The mean quantity of LGE at visual analysis was 13 g ± 20 compared with 12 g ± 17 at 6 SDs, 25 g ± 23 at 4 SDs, 55 g ± 31 at 2 SDs, and 64 g ± 69 at 2 SDs above noise. All gray-scale thresholds were significantly correlated with visual assessment. The 6-SD threshold had the strongest correlation (r = 0.913, P < .0001) compared with thresholds of 2 SDs (r = 0.81) and 4 SDs (r = 0.91) above the mean and 2 SDs above noise (r = 0.53) (P < .001 for all comparisons). In addition, compared with visual assessment, the 6-SD threshold yielded less intraobserver variability (difference, 0.6 g ± 8, κ = 0.66 [P < .0001] vs 1.4 g ± 9, κ = 0.49 [P < .0001]) and less interobserver variability (difference, 5.4 g ± 18, κ = 0.20 [P < .0001] vs -18.4 g ± 18, κ = 0.08 [P < .0001]).
CONCLUSION: Semiautomated LGE cardiovascular MR gray-scale thresholding with 6 or more SDs above the mean signal intensity for the visually normal remote myocardium yields the closest approximation of the extent of LGE identified with visual assessment and is highly reproducible. This objective method should be considered for quantifying LGE in patients with HCM. © RSNA, 2010

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Year:  2010        PMID: 21045187     DOI: 10.1148/radiol.10090526

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  34 in total

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2.  Systolic and diastolic myocardial mechanics in hypertrophic cardiomyopathy and their link to the extent of hypertrophy, replacement fibrosis and interstitial fibrosis.

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3.  ESC sudden-death risk model in hypertrophic cardiomyopathy: Incremental value of quantitative contrast-enhanced CMR in intermediate-risk patients.

Authors:  Rocio Hinojar; José Luis Zamorano; Ariana Gonzalez Gómez; Maria Plaza Martin; Amparo Esteban; Luis Miguel Rincón; Juan Carlos Portugal; José Julio Jimenez Nácher; Covadonga Fernández-Golfín
Journal:  Clin Cardiol       Date:  2017-06-14       Impact factor: 2.882

4.  3.0 T magnetic resonance myocardial perfusion imaging for semi-quantitative evaluation of coronary microvascular dysfunction in hypertrophic cardiomyopathy.

Authors:  Liang Yin; Hai-Yan Xu; Sui-Sheng Zheng; Ying Zhu; Jiang-Xi Xiao; Wei Zhou; Si-Si Yu; Liang-Geng Gong
Journal:  Int J Cardiovasc Imaging       Date:  2017-06-13       Impact factor: 2.357

5.  Late gadolinium enhancement confined to the right ventricular insertion points in hypertrophic cardiomyopathy: an intermediate stage phenotype?

Authors:  Paco E Bravo; Hong-Chang Luo; Iraklis Pozios; Stefan L Zimmerman; Celia Pamela Corona-Villalobos; Lars Sorensen; Ihab R Kamel; David A Bluemke; Richard L Wahl; M Roselle Abraham; Theodore P Abraham
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-06-14       Impact factor: 6.875

6.  Prognostic value of left atrial function by cardiovascular magnetic resonance feature tracking in hypertrophic cardiomyopathy.

Authors:  Rocio Hinojar; Jose Luis Zamorano; MªAngeles Fernández-Méndez; Amparo Esteban; Maria Plaza-Martin; Ariana González-Gómez; Alejandra Carbonell; Luis Miguel Rincón; Jose Julio Jiménez Nácher; Covadonga Fernández-Golfín
Journal:  Int J Cardiovasc Imaging       Date:  2019-01-31       Impact factor: 2.357

7.  Myocardial scar identification based on analysis of Look-Locker and 3D late gadolinium enhanced MRI.

Authors:  Qian Tao; Hildo J Lamb; Katja Zeppenfeld; Rob J van der Geest
Journal:  Int J Cardiovasc Imaging       Date:  2014-03-19       Impact factor: 2.357

8.  Prognostic significance of late gadolinium enhancement quantification in cardiac magnetic resonance imaging of hypertrophic cardiomyopathy with systolic dysfunction.

Authors:  Akira Funada; Hideaki Kanzaki; Teruo Noguchi; Yoshiaki Morita; Yasuo Sugano; Takahiro Ohara; Takuya Hasegawa; Hiromi Hashimura; Hatsue Ishibashi-Ueda; Masafumi Kitakaze; Satoshi Yasuda; Hisao Ogawa; Toshihisa Anzai
Journal:  Heart Vessels       Date:  2015-03-28       Impact factor: 2.037

9.  Relation of late gadolinium enhancement in cardiac magnetic resonance on the diastolic volume recovery of left ventricle with hypertrophic cardiomyopathy.

Authors:  Xiaorong Chen; Hongjie Hu; Yue Qian; Jiner Shu
Journal:  J Thorac Dis       Date:  2014-07       Impact factor: 2.895

10.  Assessment of myocardial fibrosis and coronary arteries in hypertrophic cardiomyopathy using combined arterial and delayed enhanced CT: comparison with MR and coronary angiography.

Authors:  Lei Zhao; Xiaohai Ma; Mark C Delano; Tengyong Jiang; Chen Zhang; Yi Liu; Zhaoqi Zhang
Journal:  Eur Radiol       Date:  2012-10-14       Impact factor: 5.315

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