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Multislice computed tomography for detection of patients with aortic valve stenosis and quantification of severity
被引:117
|作者:
Feuchtner, GM
Dichtl, W
Friedrich, GJ
Frick, M
Alber, H
Schachner, T
Bonatti, J
Matlouhi, A
Frede, T
Pachinger, O
Nedden, DZ
Müller, S
机构:
[1] Innsbruck Med Univ, Clin Dept Radiol 2, A-6020 Innsbruck, Austria
[2] Innsbruck Med Univ, Clin Dept Cardiol, A-6020 Innsbruck, Austria
[3] Innsbruck Med Univ, Clin Dept Cardiac Surg, A-6020 Innsbruck, Austria
关键词:
D O I:
10.1016/j.jacc.2005.11.056
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
OBJECTIVES The purpose of this study was to evaluate whether multislice computed tomography (MSCT) provides a reliable, noninvasive imaging modality for identification of patients with degenerative aortic valve stenosis (AS) by quantifying the aortic valve area (AVA) in comparison to the accepted diagnostic standard transthoracic echocardiography (TTE). BACKGROUND Management of patients with degenerative AS is based on the severity of disease. The severity of AS in clinical practice is assessed by TTE and classified as mild, moderate, or severe according to the AVA. METHODS Forty-six patients were examined with contrast-enhanced, electrocardiogram-gated, 16-row MSCT for the evaluation of the diagnostic accuracy. In 30 patients, quantification of the AVA with MSCT was compared to TTE using the continuity equation with Doppler velocity-time integral for calculation of the AVA. RESULTS Sensitivity of MSCT for the identification of patients with degenerative AS was 100%, and the specificity was 93.7%. Thirty of 46 patients had AS determined by TTE. Quantification of AVA by MSCT (mean AVA = 0.94 cm(2)) in patients with AS showed a good correlation to TTE (r = 0.89; p < 0.001). Bland-Altman plot illustrated good intermodality agreement between the two methods (limits of agreement, 0.20; 0.29). CONCLUSIONS Multislice computed tomography may provide an accurate, noninvasive imaging technique for detection of patients with AS and quantification of AVA.
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页码:1410 / 1417
页数:8
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