Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study

Radiology

Volumn 283, Issue 2, 2017, Pages 381-390

  Dawes, Timothy J W ^a,b   De Marvao, Antonio ^a   Shi, Wenzhe ^a,c   Fletcher, Tristan ^a,b   Watson, Geoffrey M J ^b   Wharton, John ^b   Rhodes, Christopher J ^b   Howard, Luke S G E ^f   Gibbs, J Simon R ^d,f   Rueckert, Daniel ^c   Cook, Stuart A ^a,d,e   Wilkins, Martin R ^b   O'Regan, Declan P ^a  

^a MRC CLINICAL SCIENCES CENTRE   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c NATIONAL HEART AND LUNG INSTITUTE   (United Kingdom)

^d DEPARTMENT OF CARDIOLOGY   (Singapore)

^e DUKE NUS MEDICAL SCHOOL   (Singapore)

^f IMPERIAL COLLEGE HEALTHCARE NHS TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CARDIAC IMAGING; CARDIOVASCULAR MAGNETIC RESONANCE; CONTROLLED STUDY; FEMALE; FOLLOW UP; HEART CATHETERIZATION; HEART EJECTION FRACTION; HEART MOVEMENT; HEART RIGHT VENTRICLE; HEART RIGHT VENTRICLE FAILURE; HEART VENTRICLE FUNCTION; HUMAN; IMAGE SEGMENTATION; LUNG VASCULAR RESISTANCE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MEDIAN SURVIVAL TIME; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; PULMONARY HYPERTENSION; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; RISK FACTOR; SURVIVAL PREDICTION; SWAN GANZ CATHETER; THREE DIMENSIONAL IMAGING; AUTOMATED PATTERN RECOGNITION; CINE MAGNETIC RESONANCE IMAGING; COMPLICATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; ETIOLOGY; HEART RIGHT VENTRICLE FUNCTION; HEART STROKE VOLUME; HEART VENTRICLE; MIDDLE AGED; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGED; FEMALE; HEART VENTRICLES; HUMANS; HYPERTENSION, PULMONARY; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING, CINE; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STROKE VOLUME; VENTRICULAR DYSFUNCTION, RIGHT;

EID: 85018193366     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2016161315     Document Type: Article

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