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Balancing speed and accuracy in cardiac magnetic resonance function post-processing: Comparing 2 levels of automation in 3 vendors to manual assessment

  • Gert J.H. Snel*
  • , Sharon Poort
  • , Birgitta K. Velthuis
  • , Vincent M. van Deursen
  • , Christopher T. Nguyen
  • , David Sosnovik
  • , Rudi A.J.O. Dierckx
  • , Riemer H.J.A. Slart
  • , Ronald J.H. Borra
  • , Niek H.J. Prakken
  • *Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Automating cardiac function assessment on cardiac magnetic resonance short-axis cines is faster and more reproducible than manual contour-tracing; however, accurately tracing basal contours remains challenging. Three automated post-processing software packages (Level 1) were compared to manual assessment. Subsequently, automated basal tracings were manually adjusted using a standardized protocol combined with software package-specific relative-to-manual standard error correction (Level 2). All post-processing was performed in 65 healthy subjects. Manual contour-tracing was performed separately from Level 1 and 2 automated analysis. Automated measurements were considered accurate when the difference was equal or less than the maximum manual inter-observer disagreement percentage. Level 1 (2.1 ± 1.0 min) and Level 2 automated (5.2 ± 1.3 min) were faster and more reproducible than manual (21.1 ± 2.9 min) post-processing, the maximum inter-observer disagreement was 6%. Compared to manual, Level 1 automation had wide limits of agreement. The most reliable software package obtained more accurate measurements in Level 2 compared to Level 1 automation: left ventricular end-diastolic volume, 98% and 53%; ejection fraction, 98% and 60%; mass, 70% and 3%; right ventricular end-diastolic volume, 98% and 28%; ejection fraction, 80% and 40%, respectively. Level 1 automated cardiac function post-processing is fast and highly reproducible with varying accuracy. Level 2 automation balances speed and accuracy.

Original languageEnglish
Article number1758
JournalDiagnostics
Volume11
Issue number10
DOIs
Publication statusPublished - 24 Sept 2021

Keywords

  • Automation
  • Cardiac function
  • Cardiac magnetic resonance
  • Reproducibility
  • Standardization
  • Tracing protocol
  • automation
  • reproducibility
  • standardization
  • cardiac function
  • cardiac magnetic resonance
  • tracing protocol

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