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

Thomas W R Smith, Swaminatha Gurudevan, Victor Cheng, Alfredo Trento, Mick DeRobertis, Louise Thomson, John Friedman, Sean Hayes, Robert J. Siegel, Daniel S. Berman

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)415-421
Number of pages7
JournalJournal of Cardiovascular Computed Tomography
Volume6
Issue number6
DOIs
StatePublished - Nov 2012

Keywords

  • Cardiovascular computed tomography
  • Mitral valve
  • Repair

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Assessment of the morphological features of degenerative mitral valve disease using 64-slice multi detector computed tomography'. Together they form a unique fingerprint.

Cite this