Improved reproducibility of right ventricular volumes and function estimation from cardiac magnetic resonance images using level-set models

Oronzo Catalano, Cristiana Corsi, Serena Antonaci, Guido Moro, Maria Mussida, Mauro Frascaroli, Maurizia Baldi, Enrico Caiani, Claudio Lamberti, Franco Cobelli

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to assess whether an alternative method, that is based on volumetric surface detection (VoSD) without tracing and is totally free of geometric assumptions, can improve the reproducibility of right ventricular (RV) volume quantification from cardiac magnetic resonance (CMR) images, in comparison with a conventional disk-area technique. In a sample of 23 patients, with wide variability of RV end-diastolic volume (EDV: 47-131 ml), end-systolic volume (ESV: 20-76 ml), and ejection fraction (EF: 29-73%), using the standard method (Argus, Siemens) as the reference, the VoSD method showed good agreement for EDV, ESV, and EF estimations (correlation coefficient: 0.91, 0.94, and 0.94; Bland-Altman biases: 1 ml, 1 ml, and 0%; limits of agreement: ±16 ml, ±11 ml, and ±11%, respectively). An analysis of the reproducibility of the two methods showed lower intraobserver variability for the VoSD method than for the conventional method, as evidenced by the coefficient of variability (CoV) values (2-6% vs. 8-15%; P <0.05). In addition, the VoSD method showed improved interobserver reproducibility (7-10% vs. 8-15%), but the difference was statistically significant only for EF estimation variability (8 vs. 15%, P <0.05). In conclusion, the newly developed VoSD technique allows accurate measurements of RV volumes and function, and appears to be more reproducible than the conventional methodology.

Original languageEnglish
Pages (from-to)600-605
Number of pages6
JournalMagnetic Resonance in Medicine
Volume57
Issue number3
DOIs
Publication statusPublished - Mar 2007

Keywords

  • Computer analysis
  • Global ventricular function
  • Magnetic resonance imaging
  • Right ventricle
  • Vetricular volume

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Fingerprint Dive into the research topics of 'Improved reproducibility of right ventricular volumes and function estimation from cardiac magnetic resonance images using level-set models'. Together they form a unique fingerprint.

Cite this