Literature DB >> 22021128

Accurate computer-aided quantification of left ventricular parameters: experience in 1555 cardiac magnetic resonance studies from the Framingham Heart Study.

Gilion L T F Hautvast1, Carol J Salton, Michael L Chuang, Marcel Breeuwer, Christopher J O'Donnell, Warren J Manning.   

Abstract

Quantitative analysis of short-axis functional cardiac magnetic resonance images can be performed using automatic contour detection methods. The resulting myocardial contours must be reviewed and possibly corrected, which can be time-consuming, particularly when performed across all cardiac phases. We quantified the impact of manual contour corrections on both analysis time and quantitative measurements obtained from left ventricular short-axis cine images acquired from 1555 participants of the Framingham Heart Study Offspring cohort using computer-aided contour detection methods. The total analysis time for a single case was 7.6 ± 1.7 min for an average of 221 ± 36 myocardial contours per participant. This included 4.8 ± 1.6 min for manual contour correction of 2% of all automatically detected endocardial contours and 8% of all automatically detected epicardial contours. However, the impact of these corrections on global left ventricular parameters was limited, introducing differences of 0.4 ± 4.1 mL for end-diastolic volume, -0.3 ± 2.9 mL for end-systolic volume, 0.7 ± 3.1 mL for stroke volume, and 0.3 ± 1.8% for ejection fraction. We conclude that left ventricular functional parameters can be obtained under 5 min from short-axis functional cardiac magnetic resonance images using automatic contour detection methods. Manual correction more than doubles analysis time, with minimal impact on left ventricular volumes and ejection fraction.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22021128      PMCID: PMC3267005          DOI: 10.1002/mrm.23127

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  18 in total

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  7 in total

1.  CMR reference values for left ventricular volumes, mass, and ejection fraction using computer-aided analysis: the Framingham Heart Study.

Authors:  Michael L Chuang; Philimon Gona; Gilion L T F Hautvast; Carol J Salton; Marcel Breeuwer; Christopher J O'Donnell; Warren J Manning
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2.  Pediatric cardiac MRI: automated left-ventricular volumes and function analysis and effects of manual adjustments.

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Authors:  Michael L Chuang; Philimon Gona; Gilion L T F Hautvast; Carol J Salton; Susan J Blease; Susan B Yeon; Marcel Breeuwer; Christopher J O'Donnell; Warren J Manning
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5.  Effect of age and sex on fully automated deep learning assessment of left ventricular function, volumes, and contours in cardiac magnetic resonance imaging.

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6.  Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings.

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7.  Impact of fully automated assessment on interstudy reproducibility of biventricular volumes and function in cardiac magnetic resonance imaging.

Authors:  Sören J Backhaus; Andreas Schuster; Sebastian Kelle; Johannes T Kowallick; Torben Lange; Christian Stehning; Marcus Billing; Joachim Lotz; Burkert Pieske; Gerd Hasenfuß
Journal:  Sci Rep       Date:  2021-06-02       Impact factor: 4.379

  7 in total

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