Brain tissue development of neonates with Congenital Septal Defect: Study on MRI Image Evaluation of Deep Learning Algorithm
Abstract
Objectives: This article is based on deep learning algorithms and uses MRI to study the development of congenital heart septal defects in neonatal brain tissue.
Methods: From January 2018 to December 2019, 150 cases of congenital cardiac paper septal defect were retrospectively analyzed on 50 cases of normal newborns and neonates. The four index parametersbrain MR imaging, lateral ventricle pre-angle measurement index (F/F’), body index (D/ D’), caudal nucleus index (C/C’) were analyzed. The independent sample t test is performed to compare the difference parameters between groups.
Results: F congenital heart disease group and control group/F ‘values were 0.301 ± 0.035 and 0.296 ± 0.031; Evans index was 0.239 ± 0.052 and 0.233 ± 0.025; 2 sets of D/D’ values were 0.261 ± 0.039 and 0.234 ± 0.032; C/C ‘value was 0.138 ± 0.018 and 0.124 ± 0.015 respectively. The congenital heart disease group D/D ‘, and the value of C/C’ obtained under the ROC curve area value, respectively 0.698 and 0.750, Youden index corresponding to the maximum D/D ‘, and the value of C/C’ values were 0.28 and 0.12.
Conclusion: Lateral ventricle D/D ‘and C/C’ is more sensitive indicator which can be evaluated with the difference between the volume of congenital heart septal defects in newborn normal neonatal brain; when the D/D ‘value> 0.28, C/C’ value> 0.12. For the diagnosis and evaluation of congenital heart septal defect neonatal brain volume abnormalities have a certain reference value.
List of acronyms: MRI: Magnetic Resonance Imaging. POX: Pulse oximetry. CHD: Congenital Heart Disease.
DWI: Diffusion-weighted Imaging. T1WI: T1-weighted imaging T2WITSE: T2-weighted imaging, Turbo Spin Echo. FOV: Field of View. FLAIR: Fluid Attenuated Inversion Recovery. TE: Echo Time. TR: Repetition Time. ICC: Intra-group Correlation Coefficient.
doi: https://doi.org/10.12669/pjms.37.6-WIT.4863
How to cite this:
Zhu J, Chen J, Zhang Y, Ji J. Brain tissue development of neonates with Congenital Septal Defect: Study on MRI Image Evaluation of Deep Learning Algorithm. Pak J Med Sci. 2021;37(6):1652-1656. doi: https://doi.org/10.12669/pjms.37.6-WIT.4863
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
