Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta.

J Cardiovasc Transl Res

Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK.

Published: June 2023

Neonatal coarctation of the aorta (CoA) is a common congenital heart defect. Its antenatal diagnosis remains challenging, and its pathophysiology is poorly understood. We present a novel statistical shape modeling (SSM) pipeline to study the role and predictive value of arch shape in CoA in utero. Cardiac magnetic resonance imaging (CMR) data of 112 fetuses with suspected CoA was acquired and motion-corrected to three-dimensional volumes. Centerlines from fetal arches were extracted and used to build a statistical shape model capturing relevant anatomical variations. A linear discriminant analysis was used to find the optimal axis between CoA and false positive cases. The CoA shape risk score classified cases with an area under the curve of 0.907. We demonstrate the feasibility of applying a SSM pipeline to three-dimensional fetal CMR data while providing novel insights into the anatomical determinants of CoA and the relevance of in utero arch anatomy for antenatal diagnosis of CoA.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299929PMC
http://dx.doi.org/10.1007/s12265-022-10335-9DOI Listing

Publication Analysis

Top Keywords

arch anatomy
8
coarctation aorta
8
antenatal diagnosis
8
statistical shape
8
ssm pipeline
8
cmr data
8
coa
7
shape
5
learning hidden
4
hidden signature
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!