Literature DB >> 32960835

Differentiating Nonischemic Dilated Cardiomyopathy With Incidental Infarction From Ischemic Cardiomyopathy by Geometric Indices Derived From Cardiovascular Magnetic Resonance.

Xinyu Wang1,2,3,4, Benedict T Costello5, Stavroula Papapostolou5, Jessica O'Brien5, Andrew Taylor5, Shihua Zhao6.   

Abstract

PURPOSE: The purpose of this study was to differentiate nonischemic dilated cardiomyopathy with incidental myocardial infarction (NICM with incidental MI) from ischemic cardiomyopathy (ICM) by integrating left ventricular (LV) geometric indices and ischemic late gadolinium enhancement (LGE), obtained from cardiac magnetic resonance (CMR) imaging.
MATERIALS AND METHODS: All subjects were studied on a 1.5 Tesla magnetic resonance imaging scanner. All patients had an LV ejection fraction (LVEF) <50% with LV dilation. LV end-diastolic volume (LVEDV), LVEDV index (LVEDVi), LVEF, the number and distribution of ischemic LGE segments, and ratios of volumetric and functional indices to ischemic LGE segments were determined. Logistic regression was used to detect the independent predictor of ICM. Receiver operating characteristic analysis differentiated NICM with incidental MI from ICM.
RESULTS: Of a total of 63 patients enrolled, 45 patients had ICM, and 18 patients had NICM with incidental MI. Both groups had similar LVEF. Compared with ICM, NICM with incidental MI had more LV dilation, whereas ICM had more ischemic LGE segments. A higher number of ischamic LGE segments remained an independent predictor of ICM (odds ratio: 18.2, 95% confidence interval: 1.64-201.34, P=0.018). The optimal cut-off value for detecting NICM with incidental MI is the ratio of LVEDVi to the number of ischemic LGE segments over 25 mL/m2/segment (sensitivity 100%, specificity 91%, P<0.0001).
CONCLUSION: Patients with NICM with incidental MI can be reliably distinguished from ICM using the ratio of LVEDVi divided by the number of ischemic LGE segments. This technique may improve diagnosis and help aid management of patients with cardiomyopathy and coexistent coronary artery disease.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 32960835     DOI: 10.1097/RTI.0000000000000560

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  2 in total

1.  Validating an Idiopathic Dilated Cardiomyopathy Diagnosis Using Cardiovascular Magnetic Resonance: The Dilated Cardiomyopathy Precision Medicine Study.

Authors:  Garrie J Haas; Karolina M Zareba; Hanyu Ni; Erika Bello-Pardo; Gordon S Huggins; Ray E Hershberger
Journal:  Circ Heart Fail       Date:  2022-03-04       Impact factor: 10.447

2.  Analysis of susceptibility genes and myocardial infarction risk correlation of ischemic cardiomyopathy based on bioinformatics.

Authors:  Nai Zhang; Chuang Yang; Yu-Juan Liu; Peng Zeng; Tao Gong; Lu Tao; Xin-Ai Li
Journal:  J Thorac Dis       Date:  2022-09       Impact factor: 3.005

  2 in total

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