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European Radiology

, Volume 21, Issue 10, pp 2111–2120 | Cite as

Diagnostic accuracy and variability of three semi-quantitative methods for assessing right ventricular systolic function from cardiac MRI in patients with acquired heart disease

  • Jérôme CaudronEmail author
  • Jeannette Fares
  • Pierre-Hugues Vivier
  • Valentin Lefebvre
  • Caroline Petitjean
  • Jean-Nicolas Dacher
Cardiac

Abstract

Objectives

To evaluate the diagnostic accuracy and variability of 3 semi-quantitative (SQt) methods for assessing right ventricular (RV) systolic function from cardiac MRI in patients with acquired heart disease: tricuspid annular plane systolic excursion (TAPSE), RV fractional-shortening (RVFS) and RV fractional area change (RVFAC).

Methods

Sixty consecutive patients were enrolled. Reference RV ejection fraction (RVEF) was determined from short axis cine sequences. TAPSE, RVFS and RVFAC were measured on a 4-chamber cine sequence. All SQt analyses were performed twice by 3 observers with various degrees of training in cardiac MRI. Correlation with RVEF, intra- and inter-observer variability, and receiver operating characteristic (ROC) curve analysis were performed for each SQt method.

Results

Correlation between RVFAC and RVEF was good for all observers and did not depend on previous cardiac MRI experience (R range = 0.716–0.741). Conversely, RVFS (R range = 0.534–0.720) and TAPSE (R range = 0.482–0.646) correlated less with RVEF and depended on previous experience. Intra- and inter-observer variability was much lower for RVFAC than for RVFS and TAPSE. ROC analysis demonstrated that RVFAC <41% could predict a RVEF <45% with 90% sensitivity and 94% specificity.

Conclusions

RVFAC appears to be more accurate and reproducible than RVFS and TAPSE for SQt assessment of RV function by cardiac MRI.

Keywords

Cardiac MRI Right ventricular function Semi-quantitative assessment Diagnostic accuracy Variability 

Notes

Acknowledgment

The authors are grateful to Alexandre Klimoff and Agnes Malgouyres (Siemens France) who provided us with the Argus segmentation software used in this study.

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Copyright information

© European Society of Radiology 2011

Authors and Affiliations

  • Jérôme Caudron
    • 1
    • 3
    Email author
  • Jeannette Fares
    • 1
    • 2
    • 3
  • Pierre-Hugues Vivier
    • 1
    • 3
  • Valentin Lefebvre
    • 1
    • 3
  • Caroline Petitjean
    • 4
  • Jean-Nicolas Dacher
    • 1
    • 3
  1. 1.Department of RadiologyUniversity Hospital of RouenRouen CedexFrance
  2. 2.Department of CardiologyUniversity Hospital of RouenRouenFrance
  3. 3.INSERM U644University of RouenRouenFrance
  4. 4.LITIS EA4108University of RouenRouenFrance

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