Literature DB >> 17568273

64-slice multidetector computed tomography (MDCT) for detection of aortic regurgitation and quantification of severity.

Davinder S Jassal1, Michael D Shapiro, Tomas G Neilan, Vithaya Chaithiraphan, Maros Ferencik, Shawn D Teague, Thomas J Brady, Eric M Isselbacher, Ricardo C Cury.   

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.

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Year:  2007        PMID: 17568273     DOI: 10.1097/RLI.0b013e3180375556

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  7 in total

1.  The utility of computed tomography in the context of aortic valve disease.

Authors:  Gudrun M Feuchtner
Journal:  Int J Cardiovasc Imaging       Date:  2009-05-26       Impact factor: 2.357

2.  Aortic valves stenosis and regurgitation: assessment with dual source computed tomography.

Authors:  Xiaofei Li; Lijun Tang; Lei Zhou; Yuqing Duan; Sheng Yanhui; Rong Yang; Yanhu Wu; Xiangqing Kong
Journal:  Int J Cardiovasc Imaging       Date:  2009-04-07       Impact factor: 2.357

Review 3.  Multi-detector CT angiography of the aortic valve-Part 2: disease specific findings.

Authors:  Edward T D Hoey; Arul Ganeshan
Journal:  Quant Imaging Med Surg       Date:  2014-08

4.  Planimetric measurement of the regurgitant orifice area using multidetector CT for aortic regurgitation: a comparison with the use of echocardiography.

Authors:  Min Hee Jeon; Yeon Hyeon Choe; Soo Jin Cho; Seung Woo Park; Pyo Won Park; Jae K Oh
Journal:  Korean J Radiol       Date:  2010-02-22       Impact factor: 3.500

5.  Central aortic valve coaptation area during diastole as seen by 64-multidetector computed tomography (MDCT).

Authors:  Irfan Zeb; Song Shou Mao; Yasmin S Hamirani; Sameer Raina; Jigar Kadakia; Sameh Elamir; Matthew J Budoff
Journal:  Int J Cardiovasc Imaging       Date:  2010-05-26       Impact factor: 2.357

6.  Comprehensive assessment of the severity and mechanism of aortic regurgitation using multidetector CT and MR.

Authors:  Céline Goffinet; Valérie Kersten; Anne-Catherine Pouleur; Jean-Benoit le Polain de Waroux; David Vancraeynest; Agnès Pasquet; Jean-Louis Vanoverschelde; Bernhard L Gerber
Journal:  Eur Radiol       Date:  2009-08-05       Impact factor: 5.315

Review 7.  Evaluation of the aortic and mitral valves with cardiac computed tomography and cardiac magnetic resonance imaging.

Authors:  Sung Min Ko; Meong Gun Song; Hweung Kon Hwang
Journal:  Int J Cardiovasc Imaging       Date:  2012-11-09       Impact factor: 2.357

  7 in total

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