ECG-gated multi-detector row CT for assessment of mitral valve disease: initial experience 14th Annual Meeting of the European-Congress-of-Radiology (ECR 2002) Willmann, J. K., Kobza, R., Roos, J. E., Lachat, M., Jenni, R., Hilfiker, P. R., Luscher, T. F., Marincek, B., Weishaupt, D. SPRINGER. 2002: 2662–69

Abstract

Our objective was to evaluate applicability and image quality of contrast-enhanced, retrospectively ECG-gated multi-detector row CT (MDCT) for visualization of anatomical details of the mitral valve and its apparatus, and to determine the value of MDCT for diagnosing abnormal findings of the mitral valve. Twenty consecutive patients with mitral valve disease underwent MDCT preoperatively. Two readers assessed visibility of the mitral valve annulus, mitral valve leaflets, tendinous cords, and papillary muscles by using a four-point Likert grading scale. Abnormal mitral valve findings [thickening of the mitral valve leaflets, presence of mitral annulus calcification (MAC), and calcification of the valvular leaflets] were compared with preoperative echocardiography and intraoperative findings. Visibility of the mitral valve annulus and mitral valve leaflets was good or excellent in 15 patients (75%) and in 19 patients (95%) for papillary muscles. The MDCT yielded a 95-100% agreement compared with echocardiography and surgery with regard to the assessment of mitral valve leaflet thickening and the presence of calcifications of the mitral valve annulus or mitral valve leaflets. Intermodality agreement between MDCT and echocardiography was excellent with regard to classification of mitral valve leaflet thickness (kappa=1.00) and good regarding classification of MAC thickness (kappa=0.73). Contrast-enhanced, retrospectively ECG-gated MDCT allows good to excellent visualization of anatomical details of the mitral valve and its apparatus, and demonstrates good agreement with echocardiography and surgery in diagnosing mitral valve abnormalities.

View details for DOI 10.1007/s00330-002-1454-7

View details for Web of Science ID 000179436500007

View details for PubMedID 12386755