title: [The evaluation of the severity of mitral regurgitation using color Doppler echocardiographic methods].
abstract: OBJECTIVE
  This study was planned to assess the vena contracta (VC), flow convergence area (PISA) and jet area (JA) methods in evaluating the severity of mitral regurgitation (MR) and to test the accuracy of a proposed algorithm using these methods.
  
  
  METHODS
  Eighty-seven patients with chronic MR were enrolled in the study. VC of < 0.3 cm, maximal MR flow rate calculated by PISA (Qmax) of < 72 cm3/sn and JA of < 4 cm2 were classified as mild MR. VC of > 0.5 cm, Qmax of > 240 cm3/sn and JA of > 8 cm2 were classified as severe MR. Whereas the values between these ranges were called to be moderate MR. The algorithm was planned as follows: In the first step, VC width was measured. If a patient has VC = 0.3-0.5 cm, it was used Qmax in the eccentric jets and JA in the central jets in the second step. The severity of MR were considered as severe, moderate and mild for > 50%, 21-49% and 20% of the regurgitant fraction calculated by the reference method (the quantitative Doppler method depending on aortic and mitral stroke volumes), respectively.
  
  
  RESULTS
  The sensitivity of VC was low in differentiating between moderate and severe MR (63%). In eccentric jets, the regurgitant volume calculated by PISA was higher than that of reference method (70 +/- 49 vs. 59 +/- 29 cm3) and the JA was found to be less than that of central jets despite similar regurgitant fraction (6.8 +/- 3.2 vs. 8.5 +/- 3.3 cm2). The algorithm agreed well with the reference method and it was better than those of each tree methods (Cappa coefficients 0.89 vs. 0.65, 0.63 and 0.45 for VC, Qmax and JA; respectively). The accuracies of the algorithm in discriminating between mild and moderate MR or severe and non-severe MR were high (98% and 95%, respectively).
  
  
  CONCLUSIONS
  The severity of MR can be determined accurately and simply by using VC, PISA and JA methods together.
authors.affiliation: meseren@hotmail.com
authors.forename: M
authors.initials: M
authors.lastname: Eren
authors.forename: B
authors.initials: B
authors.lastname: Dağdeviren
authors.forename: O
authors.initials: O
authors.lastname: Bolca
authors.forename: T
authors.initials: T
authors.lastname: Norgaz
authors.forename: A
authors.initials: A
authors.lastname: Yildirim
authors.forename: H
authors.initials: H
authors.lastname: Akhan
authors.forename: D
authors.initials: D
authors.lastname: Oz
authors.forename: H
authors.initials: H
authors.lastname: Yaka
authors.forename: N
authors.initials: N
authors.lastname: Ozer
authors.forename: T
authors.initials: T
authors.lastname: Tezel
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D002648:Child; D003331:Coronary Vessels / Q000000981:diagnostic imaging*; D018618:Echocardiography, Doppler, Color / Q000592:standards; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D008944:Mitral Valve Insufficiency / Q000000981:diagnostic imaging* / Q000503:physiopathology; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D014680:Veins / Q000000981:diagnostic imaging