title: 64-slice multidetector computed tomography (MDCT) for detection of aortic regurgitation and quantification of severity.
abstract: BACKGROUND
  Recent advances in 64-slice multidetector computed tomography (MDCT) provide an opportunity to assess coronary artery disease, left ventricular function and, potentially, valvular heart disease.
  
  
  OBJECTIVE
  To determine the ability of 64-MDCT to both detect and to quantify the severity of aortic regurgitation (AR), as compared with transthoracic echocardiography (TTE).
  
  
  METHODS
  We evaluated a total of 64 patients (43 males, mean age 63+/-11 years), 30 with varying severities of AR as assessed by TTE and 34 matched controls. The severity of AR by TTE was determined using the vena contracta, the ratio of jet to left ventricular outflow tract (LVOT) height, and the ratio of the jet to LVOT cross-sectional area. AR by MDCT was defined as a lack of coaptation of the aortic valve leaflets in diastole and, if detected, the maximum anatomic aortic regurgitant orifice was determined.
  
  
  RESULTS
  All 34 control patients without AR were correctly identified by MDCT. There were 14 patients with mild AR, 10 with moderate AR, and 6 with severe AR by TTE. Of these patients, MDCT correctly identified 21 patients with AR (sensitivity 70%, specificity 100%, positive predictive value [PPV] 100%, and negative predictive value [NPV] 79%). Anatomic regurgitant orifice area measured by MDCT correlated well with the TTE-derived vena contracta (r=0.79, P<0.001), ratio of jet to LVOT height (r=0.79, P<0.001), and ratio of jet to LVOT cross-sectional area (r=0.75, P<0.001).
  
  
  CONCLUSIONS
  Direct planimetric measurement of the aortic valve anatomic regurgitant orifice area on 64-MDCT provides an accurate, noninvasive technique for detecting and quantifying AR.
authors.affiliation: Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, and the Department of Radiology, Indiana University School of Medicine, Indianapolis, Indiana, USA. djassal@sbgh.mb.ca
authors.forename: Davinder S
authors.initials: DS
authors.lastname: Jassal
authors.forename: Michael D
authors.initials: MD
authors.lastname: Shapiro
authors.forename: Tomas G
authors.initials: TG
authors.lastname: Neilan
authors.forename: Vithaya
authors.initials: V
authors.lastname: Chaithiraphan
authors.forename: Maros
authors.initials: M
authors.lastname: Ferencik
authors.forename: Shawn D
authors.initials: SD
authors.lastname: Teague
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Brady
authors.forename: Eric M
authors.initials: EM
authors.lastname: Isselbacher
authors.forename: Ricardo C
authors.initials: RC
authors.lastname: Cury
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001021:Aortic Valve / Q000000981:diagnostic imaging* / Q000473:pathology; D001022:Aortic Valve Insufficiency / Q000000981:diagnostic imaging*; D016022:Case-Control Studies; D003287:Contrast Media; D004452:Echocardiography; D005260:Female; D006339:Heart Rate; D006801:Humans; D008297:Male; D008875:Middle Aged; D012720:Severity of Illness Index; D013318:Stroke Volume; D014057:Tomography, X-Ray Computed / Q000295:instrumentation* / Q000379:methods
chemical_list: D003287:Contrast Media