Literature DB >> 23146347

Assessment of the morphological features of degenerative mitral valve disease using 64-slice multi detector computed tomography.

Thomas Smith1, Swaminatha Gurudevan, Victor Cheng, Alfredo Trento, Mick Derobertis, Louise Thomson, John Friedman, Sean Hayes, Robert J Siegel, Daniel S Berman.   

Abstract

BACKGROUND: Patients with severe mitral regurgitation may be screened for coronary artery disease with the use of cardiac computed tomography before valve surgery.
OBJECTIVE: We hypothesized that dual-source multidetector computed tomography (DSCT) could effectively predict the culprit mitral valve scallop identified during surgery among patients with degenerative mitral valve disease undergoing surgical mitral valve repair.
METHODS: Twenty-six patients (7 women) with known severe mitral regurgitation underwent elective mitral valve repair from September 2006 through December 2009 at our institution. An additional 10 patients underwent aortic valve replacement and had no documented history of mitral valve disease. All patients underwent transthoracic echocardiography and had retrospectively gated DSCT performed to evaluate the coronary arteries before surgery. Each mitral scallop was identified as either normal, prolapsed, or flail. CT findings were compared with operative findings, which were guided by intraoperative transesophageal echocardiography (TEE).
RESULTS: In the 26 patients examined, DSCT identified flail in 23 scallops and prolapse in 48. DSCT agreed with operative findings on identification of the culprit scallop in 25 of 26 patients. On a per-patient and per-scallop basis, the observed κ statistic for agreement between DSCT and operative findings was 0.82. Of the 60 scallops in the aortic valve group, all were judged to be normal by both DSCT and TEE.
CONCLUSIONS: In patients with degenerative mitral valve disease undergoing cardiac surgery, DSCT demonstrates excellent agreement with intraoperative findings. DSCT can be used to identify the affected mitral valve scallop and its structure in patients who are candidates for mitral valve repair.
Copyright © 2012 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23146347     DOI: 10.1016/j.jcct.2012.10.004

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  5 in total

1.  The evolution of mitral valve prolapse: insights from the Framingham Heart Study.

Authors:  Zhaozhuo Niu; Vincent Chan; Thierry Mesana; Marc Ruel
Journal:  J Thorac Dis       Date:  2016-08       Impact factor: 2.895

2.  Utility of Cardiac CT for Preoperative Evaluation of Mitral Regurgitation: Morphological Evaluation of Mitral Valve and Prediction of Valve Replacement.

Authors:  Young Joo Suh; Sak Lee; Byung Chul Chang; Chi Young Shim; Geu Ru Hong; Byoung Wook Choi; Young Jin Kim
Journal:  Korean J Radiol       Date:  2019-03       Impact factor: 3.500

3.  Value of minimum intensity projections for chest CT in COVID-19 patients.

Authors:  Christian Booz; Thomas J Vogl; U Joseph Schoepf; Damiano Caruso; Maria Cristina Inserra; Ibrahim Yel; Simon S Martin; Andreas M Bucher; Lukas Lenga; Danilo Caudo; Teresa Schreckenbach; Niklas Schoell; Christian Huegel; Jan Stratmann; Mariuca Vasa-Nicotera; Daniel E Rachovitsky-Duarte; Andrea Laghi; Domenico De Santis; Silvio Mazziotti; Tommaso D'Angelo; Moritz H Albrecht
Journal:  Eur J Radiol       Date:  2020-12-14       Impact factor: 4.531

Review 4.  [CT Imaging for Mitral Valve Surgery and Intervention].

Authors:  Dong Hyun Yang
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2020-03-31

Review 5.  Imaging of Mitral Valve Prolapse: What Can We Learn from Imaging about the Mechanism of the Disease?

Authors:  Ronen Durst; Dan Gilon
Journal:  J Cardiovasc Dev Dis       Date:  2015-07-10
  5 in total

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