Quantification of Aortic Regurgitant Fraction and Volume with Multi-detector Computed Tomography: Comparison with Echocardiography

被引:15
作者
Feuchtner, Gudrun M. [1 ,3 ]
Spoeck, Alexander [1 ]
Lessick, Jonathan [4 ]
Dichtl, Wolfgang [2 ]
Plass, Andre [5 ]
Leschka, Sebastian [3 ]
Mueller, Silvana [2 ]
Klauser, Andrea [1 ]
Scheffel, Hans [3 ]
Wolf, Florian [6 ]
Jaschke, Werner [2 ,7 ]
Alkadhi, Hatem [3 ,7 ]
机构
[1] Innsbruck Med Univ, Dept Radiol 2, A-6020 Innsbruck, Austria
[2] Innsbruck Med Univ, Dept Cardiol, A-6020 Innsbruck, Austria
[3] Univ Zurich Hosp, Inst Diagnost Radiol, Zurich, Switzerland
[4] Rambam Med Ctr, Dept Cardiol, Haifa, Israel
[5] Univ Zurich Hosp, Cardiovasc Surg Clin, Zurich, Switzerland
[6] Vienna Med Univ, Dept Radiol, Vienna, Austria
[7] Massachusetts Gen Hosp, Cardiac MR CT PET Program, Boston, MA 02114 USA
关键词
Multislice computed tomography; aortic regurgitation; automated 3-D volume segmentation; aortic regurgitant volume; LEFT-VENTRICULAR FUNCTION; CORONARY-ARTERY-DISEASE; CARDIOVASCULAR-MAGNETIC-RESONANCE; DIAGNOSTIC PERFORMANCE; GLOBAL LEFT; ANGIOGRAPHY; CARDIOLOGY; COMMITTEE; ACCURACY; IMPACT;
D O I
10.1016/j.acra.2010.11.006
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Rationale and Objectives: Evaluate quantification of the aortic regurgitant fraction and volume with computed tomography (CT). Materials and Methods: Fifty-three patients with aortic regurgitation (AR) and 29 controls were examined with 64-multi-detector CT coronary angiography and transthoracic echocardiography CITE). A dedicated software algorithm employing three-dimensional segmentation of left ventricle (LV) and right ventricle (RV) volumes and LV mass was applied. AR volume and fraction was calculated based on RV and LV stroke volumes (SV) and compared with echocardiography. The aortic regurgitant orifice area (ROA) was measured by CT. Results: A good correlation of the AR fraction and AR volume determined by CT compared to echocardiography was found for mild, moderate, and severe AR with 14.2% +/- 9, 28.8% +/- 8, and 57.9% +/- 9 (r = 0.95, P < .001) for AR fraction, and 15.7 mL +/- 11.33 mL +/- 14, and 98.9 mL +/- 36 for AR volume (r = 0.92, P < .0001), respectively. CT correctly classified severity of AR in 93% of patients based of AR-fraction, and in 89% based on AR volume. The sensitivity and specificity of CT were 98% and specificity 90.3%. The specificity improved to 97%, if the ROA by CT was added as diagnostic criterion. Conclusion: Aortic regurgitation fraction and volume can be accurately quantified from CT coronary angiography datasets. These parameters can assist clinical management, e.g. in case of pending cardiac surgery decision.
引用
收藏
页码:334 / 342
页数:9
相关论文
共 37 条
  • [1] ABADI S, 2009, EUR J RADIOL 0302
  • [2] Assessment of left ventricular function with 16-and 64-slice multi-detector computed tomography
    Abbara, Suhny
    Chow, Benjamin J. W.
    Pena, Antonio J.
    Cury, Ricardo C.
    Hoffmann, Udo
    Nieman, Koen
    Brady, Thomas J.
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2008, 67 (03) : 481 - 486
  • [3] Aortic regurgitation: Assessment with 64-section CT
    Alkadhi, Hatern
    Desbiolles, Lotus
    Husmann, Lars
    Plass, Andre
    Leschka, Sebastian
    Scheffei, Hans
    Vachenauer, Robert
    Schepis, Tiziano
    Gaemperli, Oliver
    Flohr, Thomas G.
    Genoni, Michele
    Marincek, Borut
    Jenni, Rolt
    Kaufmann, Philipp A.
    Frauenfelder, Thomas
    [J]. RADIOLOGY, 2007, 245 (01) : 111 - 121
  • [4] Assessment of global and regional left ventricular function using 64-slice multislice computed tomography and 2D echocardiography: A comparison with cardiac magnetic resonance
    Annuar, Bin Rapaee
    Liew, Chee Khoon
    Chin, Sze Piaw
    Ong, Tiong Kiam
    Seyfarth, M. Tobias
    Chan, Wei Ling
    Fong, Yean Yip
    Ang, Choon Kiat
    Lin, Naing
    Liew, Houng Bang
    Sim, Kui Hian
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2008, 65 (01) : 112 - 119
  • [5] The potential of myocardial perfusion scintigraphy for risk stratification of asymptomatic patients with type 2 diabetes
    Bax, Jeroen J.
    Bonow, Robert O.
    Tschoepe, Diethelm
    Inzucchi, Silvio E.
    Barrett, Eugene
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2006, 48 (04) : 754 - 760
  • [6] Accurate estimation of global and regional cardiac function by retrospectively gated multidetector row computed tomography - Comparison with cine magnetic resonance imaging
    Belge, Benedicte
    Coche, Emmanuel
    Pasquet, Agnes
    Vanoverschelde, Jean-Louis J.
    Gerber, Bernhard L.
    [J]. EUROPEAN RADIOLOGY, 2006, 16 (07) : 1424 - 1433
  • [7] Multislice Computed Tomography in the Exclusion of Coronary Artery Disease in Patients With Presurgical Valve Disease
    Bettencourt, Nuno
    Rocha, Joao
    Carvalho, Monica
    Leite, Daniel
    Toschke, Andre Michael
    Melica, Bruno
    Santos, Lino
    Rodrigues, Alberto
    Goncalves, Manuel
    Braga, Pedro
    Teixeira, Madalena
    Simoes, Lino
    Rajagopalan, Sanjay
    Gama, Vasco
    [J]. CIRCULATION-CARDIOVASCULAR IMAGING, 2009, 2 (04) : 306 - 313
  • [8] Assessment of global left and right ventricular function using dual-source computed tomography (DSCT) in comparison to MRI -: An experimental study in a porcine model
    Bruners, Philipp
    Mahnken, Andreas H.
    Knackstedt, Christian
    Lithmann, Nadja
    Spuentrup, Ehnar
    Das, Marco
    Hohl, Christian
    Wildberger, Joachim E.
    Schmitz-Rode, Thomas
    Guenther, Rolf W.
    Muehlenbruch, Georg
    [J]. INVESTIGATIVE RADIOLOGY, 2007, 42 (11) : 756 - 764
  • [9] Diagnostic Performance of 64-Multidetector Row Coronary Computed Tomographic Angiography for Evaluation of Coronary Artery Stenosis in Individuals Without Known Coronary Artery Disease
    Budoff, Matthew J.
    Dowe, David
    Jollis, James G.
    Gitter, Michael
    Sutherland, John
    Halamert, Edward
    Scherer, Markus
    Bellinger, Raye
    Martin, Arthur
    Benton, Robert
    Delago, Augustin
    Min, James K.
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2008, 52 (21) : 1724 - 1732
  • [10] Cardiovascular Magnetic Resonance Imaging for Valvular Heart Disease Technique and Validation
    Cawley, Peter J.
    Maki, Jeffrey H.
    Otto, Catherine M.
    [J]. CIRCULATION, 2009, 119 (03) : 468 - 478