Proceedings of the 3rd International Conference on Cardiovascular Diseases (ICCvD 2021)

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Bayesian Approach to Comparing the Left Ventricular Volume in Myocardial Infarction and in Normal Cases

Authors
Aditya Tri Hernowo1, 2, *
1Department of Anatomy, Faculty of Medicine, Universitas Islam Indonesia, Special Region of Yogyakarta, Indonesia
2Torrens University Australia, Adelaide, Australia
*Corresponding author. Email: dr.hernowo@uii.ac.id
Corresponding Author
Aditya Tri Hernowo
Available Online 19 December 2022.
DOI
10.2991/978-94-6463-048-0_45How to use a DOI?
Keywords
myocardial infarction; magnetic resonance imaging; Bayesian statistics; morphometry
Abstract

Post-contrast delayed-enhancement MRI helps to show the extent of myocardial infarction (MI), as well as allowing the morphometric analysis of the heart structure, e.g., the left ventricular volume (LVV). Here the author showed how Bayesian implementation of statistical inference can benefit investigators reaching clinically sound conclusion, by examining an example case of the differentiation between the LVV in MI cases and in normal controls. Sixty-seven MI patients and thirty-three controls from the Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI dataset challenge were used. These were acquired at the University Hospital of Dijon (France). A cardiologist with 10 years of experience in cardiology and MRI and a biophysicist with 20 years of experience of cardiovascular MRI supervised the acquisition and annotated the images. ITK-Snap was used to extract the LVV and Bayesian inference were used to investigate the data. Results. Patients with MI were younger than the controls (58.3 11.5 vs. 66.5 12.9 years; BF10 = 17.9). With age taken into consideration, the patients showed larger LVV relative to the controls (128.1 46.3 vs. 83.4 24.4 cm3; post-hoc BF10 = 12663.8). Using Bayesian approach, we can conclude decisively that there is volumetric difference or remodeling in individuals with MI.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Cardiovascular Diseases (ICCvD 2021)
Series
Advances in Health Sciences Research
Publication Date
19 December 2022
ISBN
978-94-6463-048-0
ISSN
2468-5739
DOI
10.2991/978-94-6463-048-0_45How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aditya Tri Hernowo
PY  - 2022
DA  - 2022/12/19
TI  - Bayesian Approach to Comparing the Left Ventricular Volume in Myocardial Infarction and in Normal Cases
BT  - Proceedings of the 3rd International Conference on Cardiovascular Diseases (ICCvD 2021)
PB  - Atlantis Press
SP  - 387
EP  - 393
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-048-0_45
DO  - 10.2991/978-94-6463-048-0_45
ID  - Hernowo2022
ER  -