Improved accuracy of myocardial perfusion SPECT for the detection of coronary artery disease using a support vector machine algorithm

Journal of Nuclear Medicine

Volumn 54, Issue 4, 2013, Pages 549-555

  Arsanjani, Reza ^a   Xu, Yuan ^a   Dey, Damini ^a,b   Fish, Matthews ^c   Dorbala, Sharmila ^d   Hayes, Sean ^a   Berman, Daniel ^a,b   Germano, Guido ^a,b   Slomka, Piotr ^a,b  

^a CEDARS SINAI MEDICAL CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Sacred Heart Medical Center   (United States)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Automated quantification; Coronary artery disease; Machine learning; Myocardial perfusion SPECT; Support vector machines; Total perfusion deficit

Indexed keywords

METHOXY ISOBUTYL ISONITRILE TECHNETIUM TC 99M;

ADULT; ALGORITHM; ANGIOCARDIOGRAPHY; ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EJECTION FRACTION CHANGE; FEMALE; HEART EJECTION FRACTION; HEART MUSCLE PERFUSION; HUMAN; INTERMETHOD COMPARISON; ISCHEMIC CHANGE; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; SUPPORT VECTOR MACHINE; TOTAL PERFUSION DEFICIT;

ALGORITHMS; CORONARY ARTERY DISEASE; CORONARY STENOSIS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; MYOCARDIAL PERFUSION IMAGING; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 84875796651     PISSN: 01615505     EISSN: None     Source Type: Journal    
DOI: 10.2967/jnumed.112.111542     Document Type: Article

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