Literature DB >> 24703477

Model-based automatic segmentation algorithm accurately assesses the whole cardiac volumetric parameters in patients with cardiac CT angiography: a validation study for evaluating the accuracy of the workstation software and establishing the reference values.

Song Shou Mao1, Dong Li1, Mani Vembar2, Yanlin Gao1, Yanting Luo1, Franklin Lam1, Younus Saleem Syed1, Christine Liu1, Kelly Woo1, Fred Flores1, Matthew J Budoff3.   

Abstract

RATIONALE AND
OBJECTIVES: The cardiac chamber volumes and functions can be assessed manually and automatically using the current computed tomography (CT) workstation system. We aimed to evaluate the accuracy and precision and to establish the reference values for both segmentation methods using cardiac CT angiography (CTA).
MATERIALS AND METHODS: A total of 134 subjects (mean age 55.3 years, 72 women) without heart disease were enrolled in the study. The cardiac four-chamber volumes, left ventricular (LV) mass, and biventricular functions were measured with manual, semiautomatic, and model-based fully automatic approaches. The accuracies of the semiautomated and fully automated approaches were validated by comparing them with manual segmentation as a reference. The precision error was determined and compared for both manual and automatic measurements.
RESULTS: No significant difference was found between the manual and semiautomatic assessments for the assessment of all functional parameters (P > .05). Using the manual method as a reference, the automatic approach provided a similar value in LV ejection fraction and left atrial volumes in both genders and right ventricular (RV) stroke volume in women (P > .05), with some underestimation of RV volume (P < .001) and overestimation of all remaining parameters (P < .05) in both genders. In addition, a significantly higher precision with a considerable association in intermeasurement (reproducibility) was observed using the automated approach.
CONCLUSIONS: The model-based fully automatic segmentation algorithm can help with the assessment of the cardiac four-chamber volume and function. This may help in establishing reference values of functional parameters in patients who undergo cardiac CTA.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Left ventricular mass; computed tomography angiography; left ventricular ejection fraction; left ventricular volume; right ventricular volume and function

Mesh:

Year:  2014        PMID: 24703477     DOI: 10.1016/j.acra.2014.01.010

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  4 in total

1.  An association between volumes of the cardiac chambers and troponin levels in individuals submitted to cardiac coronary computed tomography.

Authors:  Zach Rozenbaum; Yaron Arbel; Yoav Granot; Dotan Cohen; Haim Shmilovich; Tomer Ziv-Baran; Ehud Chorin; Ofer Havakuk; Merav Cohen; Shlomo Berliner; Yan Topilsky; Galit Aviram
Journal:  Clin Cardiol       Date:  2017-06-14       Impact factor: 2.882

2.  Semiautomatic Three-Dimensional Threshold-Based Cardiac Computed Tomography Ventricular Volumetry in Repaired Tetralogy of Fallot: Comparison with Cardiac Magnetic Resonance Imaging.

Authors:  Hyun Woo Goo
Journal:  Korean J Radiol       Date:  2018-12-27       Impact factor: 3.500

3.  Cardiac Gated Computed Tomography Angiography Discloses a Correlation Between the Volumes of All Four Cardiac Chambers and Heart Rate in Men But Not in Women.

Authors:  Tamar Shalmon; Yaron Arbel; Yoav Granot; Tomer Ziv-Baran; Ehud Chorin; Haim Shmilovich; Ofer Havakuk; Shlomo Berliner; Montserrat Carrillo Estrada; Galit Aviram
Journal:  Womens Health Rep (New Rochelle)       Date:  2020-09-24

Review 4.  Use of artificial intelligence in imaging in rheumatology - current status and future perspectives.

Authors:  Berend Stoel
Journal:  RMD Open       Date:  2020-01
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.