NDLI: Texture analysis to assess risk of serious arrhythmias after myocardial infarction

Content Provider	IEEE Xplore Digital Library
Author	Eftestol, T. Woie, L. Engan, K. Kvaloy, J.T. Nilsen, D.W.T. Orn, S.
Copyright Year	2012
Description	Author affiliation: Department of Cardiology, Stavanger University Hospital, Stavanger, Norway (Woie, L.; Nilsen, D.W.T.; Orn, S.) \|\| Faculty of Science and Technology, University of Stavanger, Stavanger, Norway (Eftestol, T.; Engan, K.; Kvaloy, J.T.)
Abstract	Implantable cardioverter-defibrillator (ICD) prevents sudden cardiac death in patients with healed myocardial infarction (MI) at high risk of serious arrhythmias. This study was designed to identify if texture analysis of cardiac magnetic rensonance (CMR) images can be used to identify high-risk patients likely to benefit from ICD implantation. Two groups of patients with MI were compared: 24 patients with indication for ICD and 37 patients with healed MI and no ICD indication corresponding to high and low risk of arrhythmia respectively. Statistical and texture descriptors were calculated in segmented late gadolinium enhancement images. ICD- and non-ICD patients were compared using pattern classification methods. The specificity to discriminate ICD- and non-ICD-patients was calculated at a sensitivity of ≥ 90% by combining one, two or three features. LVEF alone was able to discriminate the two groups with a specificity of 70% (CI:57–81%). Combining LVEF with one texture descriptor of the non-scarred myocardium increased specificity to 81% (CI:69–89%) and with two texture descriptors of non-scarred myocardium and infarct further increased specificity to 84% (CI: 72–91%).
Starting Page	365
Ending Page	368
File Size	420756
Page Count	4
File Format	PDF
ISBN	9781467320764
ISSN	2325887X
e-ISBN	9781467320771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Myocardium Magnetic resonance imaging Educational institutions Heart Training Image segmentation Sensitivity
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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