Details

Autor(en) / Beteiligte

• Feuchtner, Gudrun M.
• Dichtl, Wolfgang
• Friedrich, Guy J.
• Frick, Mathias
• Alber, Hannes
• Schachner, Thomas
• Bonatti, Johannes
• Mallouhi, Ammar
• Frede, Thomas
• Pachinger, Otmar
• zur Nedden, Dieter
• Müller, Silvana

Titel

Multislice Computed Tomography for Detection of Patients With Aortic Valve Stenosis and Quantification of Severity

Ist Teil von

• Journal of the American College of Cardiology, 2006-04, Vol.47 (7), p.1410-1417

Ort / Verlag

New York, NY: Elsevier Inc

Erscheinungsjahr

2006

Quelle

MEDLINE

Beschreibungen/Notizen

• Multislice Computed Tomography for Detection of Patients With Aortic Valve Stenosis and Quantification of Severity Gudrun M. Feuchtner, Wolfgang Dichtl, Guy J. Friedrich, Mathias Frick, Hannes Alber, Thomas Schachner, Johannes Bonatti, Ammar Mallouhi, Thomas Frede, Otmar Pachinger, Dieter zur Nedden, Silvana Müller We describe a dedicated mid-late systolic image reconstruction algorithm with electrocardiogram (ECG)-gated 16-row multislice computed tomography (MSCT) for quantification of aortic stenosis (AS) severity. Our study suggests that ECG-gated 16-row MSCT may provide an accurate, noninvasive imaging technique for identification of patients with degenerative AS. In clinical practice, MSCT could be an alterative method in patients in whom transthoracic echocardiography is found inadequate. Additionally, it is feasible to detect asymptomatic AS in patients with suspected coronary artery disease, who undergo MSCT coronary angiography. 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). 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. 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. 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 cm2) 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). Multislice computed tomography may provide an accurate, noninvasive imaging technique for detection of patients with AS and quantification of AVA.