Validation study of a semi-automated program for quantification of atherosclerotic burden

Brian G. Choi, Constantin A. Novoselsky, Gemma Vilahur, Juan F. Viles-Gonzalez, M. Urooj Zafar, Borja Ibanez, Valentin Fuster, Juan J. Badimon

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Practical implementation of cardiovascular magnetic resonance (CMR) for the noninvasive screening of atherosclerosis is limited by inter-and intra-observer variability and labor intensity of morphometric analysis by manual planimetry (MANU). We assessed the hypothesis that a semi-automated quantification program (AUTO) for CMR would be faster and more accurate than MANU without loss of reliability. In the analysis of carotid atherosclerosis in asymptomatic hypercholesterolemic patients (n = 17), AUTO was superior to MANU in speed and histopathologic correlation without significant differences in inter-and intra-observer variability. Implementation of AUTO may facilitate CMR for the screening of the burden of atherosclerotic disease.

Original languageEnglish (US)
Pages (from-to)615-620
Number of pages6
JournalJournal of Cardiovascular Magnetic Resonance
Volume9
Issue number3
DOIs
StatePublished - May 2007

Keywords

  • Atherosclerosis
  • Automated Analysis
  • Cardiovascular Magnetic Resonance
  • Carotid
  • Image Processing

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Family Practice

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