Left and right ventricular parameters corrected with threshold-based quantification method in a normal cohort analyzed by three independent observers with various training-degree

Ibolya Csecs, Csilla Czimbalmos, Ferenc Imre Suhai, Róbert Mikle, Arash Mirzahosseini, Zsófia Dohy, Andrea Szűcs, Anna Réka Kiss, T. Símor, Attila Tóth, B. Merkely, Hajnalka Vágó

Research output: Article

5 Citations (Scopus)

Abstract

While cardiac magnetic resonance (CMR) is the reference method to evaluate left and right ventricular functions, volumes and masses, there is no widely accepted method for the quantitative analysis of trabeculae and papillary muscles (TPM). The aim of this study was to investigate the effect of TPM quantification on left and right ventricular CMR values in a normal cohort and to investigate interobserver variability of threshold-based (TB) analysis by three independent observers with variant experience in CMR. At our clinic, 60 healthy volunteers (30 males, mean age 25.6 ± 4.7 years) underwent CMR scan performed on a 1.5T Philips Achieva MR machine. On short-axis cine images, endo- and epicardial contours were detected by three independent observers with variable experience in CMR (low- ca. 120, mid- > 800, high-experienced > 5000 original CMR cases). Using Conv and TB methods (Medis 7.6 QMass software Leiden, The Netherland), we measured LV and RV ejection fractions, end-diastolic, end-systolic, stroke volumes and masses. We used TB method for quantifying TPM in ventricles using epicardial contour layers. Interobserver variability was evaluated, and the observer’s experience as an impact on variability of each investigated parameters was assessed. Comparing Conv and TB quantification methods’ significant difference were detected for all LV and RV parameters in case of all observers (H, M and L p < 0.0001). The global intraclass correlation coefficient (G-ICC) representing interobserver agreement for all investigated parameters was lower with Conv method (G-ICCConv vs. G-ICCTB 0.86 vs. 0.92 p < 0.0001). The ICC of LV parameters was higher using TB quantification (LV-ICCConv vs. LV-ICCTB 0.92 vs. 0.96 p < 0.0001), and for the evaluation of RV values, the TB method also had significantly higher interobserver agreement (RV-ICCConv vs. RV-ICCTB 0.80 vs. 0.89 p < 0.0001). The TB algorithm could be a consistent method to assess LV and RV CMR values, and to measure trabeculae and papillary muscles quantitatively in various level of experience in CMR.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalInternational Journal of Cardiovascular Imaging
DOIs
Publication statusAccepted/In press - febr. 28 2018

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Magnetic Resonance Spectroscopy
Papillary Muscles
Observer Variation
Right Ventricular Function
Left Ventricular Function
Netherlands
Stroke Volume
Healthy Volunteers
Software

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

Cite this

Left and right ventricular parameters corrected with threshold-based quantification method in a normal cohort analyzed by three independent observers with various training-degree. / Csecs, Ibolya; Czimbalmos, Csilla; Suhai, Ferenc Imre; Mikle, Róbert; Mirzahosseini, Arash; Dohy, Zsófia; Szűcs, Andrea; Kiss, Anna Réka; Símor, T.; Tóth, Attila; Merkely, B.; Vágó, Hajnalka.

In: International Journal of Cardiovascular Imaging, 28.02.2018, p. 1-7.

Research output: Article

Csecs, Ibolya ; Czimbalmos, Csilla ; Suhai, Ferenc Imre ; Mikle, Róbert ; Mirzahosseini, Arash ; Dohy, Zsófia ; Szűcs, Andrea ; Kiss, Anna Réka ; Símor, T. ; Tóth, Attila ; Merkely, B. ; Vágó, Hajnalka. / Left and right ventricular parameters corrected with threshold-based quantification method in a normal cohort analyzed by three independent observers with various training-degree. In: International Journal of Cardiovascular Imaging. 2018 ; pp. 1-7.
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AU - Mirzahosseini, Arash

AU - Dohy, Zsófia

AU - Szűcs, Andrea

AU - Kiss, Anna Réka

AU - Símor, T.

AU - Tóth, Attila

AU - Merkely, B.

AU - Vágó, Hajnalka

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N2 - While cardiac magnetic resonance (CMR) is the reference method to evaluate left and right ventricular functions, volumes and masses, there is no widely accepted method for the quantitative analysis of trabeculae and papillary muscles (TPM). The aim of this study was to investigate the effect of TPM quantification on left and right ventricular CMR values in a normal cohort and to investigate interobserver variability of threshold-based (TB) analysis by three independent observers with variant experience in CMR. At our clinic, 60 healthy volunteers (30 males, mean age 25.6 ± 4.7 years) underwent CMR scan performed on a 1.5T Philips Achieva MR machine. On short-axis cine images, endo- and epicardial contours were detected by three independent observers with variable experience in CMR (low- ca. 120, mid- > 800, high-experienced > 5000 original CMR cases). Using Conv and TB methods (Medis 7.6 QMass software Leiden, The Netherland), we measured LV and RV ejection fractions, end-diastolic, end-systolic, stroke volumes and masses. We used TB method for quantifying TPM in ventricles using epicardial contour layers. Interobserver variability was evaluated, and the observer’s experience as an impact on variability of each investigated parameters was assessed. Comparing Conv and TB quantification methods’ significant difference were detected for all LV and RV parameters in case of all observers (H, M and L p < 0.0001). The global intraclass correlation coefficient (G-ICC) representing interobserver agreement for all investigated parameters was lower with Conv method (G-ICCConv vs. G-ICCTB 0.86 vs. 0.92 p < 0.0001). The ICC of LV parameters was higher using TB quantification (LV-ICCConv vs. LV-ICCTB 0.92 vs. 0.96 p < 0.0001), and for the evaluation of RV values, the TB method also had significantly higher interobserver agreement (RV-ICCConv vs. RV-ICCTB 0.80 vs. 0.89 p < 0.0001). The TB algorithm could be a consistent method to assess LV and RV CMR values, and to measure trabeculae and papillary muscles quantitatively in various level of experience in CMR.

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