Automated craniofacial biometry with 3D T2w fetal MRI

This is the first automated atlas-based protocol using 3D SVR MRI for fetal craniofacial biometrics, accurately revealing morphological craniofacial differences in a T21 cohort. Future work should focus on improving measurement reliability, larger clinical cohorts, and technical advancements, to enhance prenatal care and phenotypic characterisation.

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Publication Details

Journal
PLOS Digital Health
Published
2024-12-30
DOI
https://doi.org/10.1371/journal.pdig.0000663
Citations
3
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
3.33

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article

Automated craniofacial biometry with 3D T2w fetal MRI

Christina Malamateniou, Reza Razavi, Abi Fukami-Gartner, Jacqueline Matthew et al.
3 citations
PLOS Digital Health
Fetal and Pediatric Neurological Disorders
3.33
article

Automated craniofacial biometry with 3D T2w fetal MRI

Christina Malamateniou, Reza Razavi, Abi Fukami-Gartner, Jacqueline Matthew, Alexia Egloff, Maria Deprez, Daniel Cromb, Aysha Luis, Alena Uus, Vanessa Kyriakopoulou, Jana Hutter, Jonathan O’Muircheartaigh, Sophie Arulkumaran, Mary Rutherford, Joseph V. Hajnal, Kathleen Colford, Lisa Story, Robert Wright
article en
3 citations

Abstract

This is the first automated atlas-based protocol using 3D SVR MRI for fetal craniofacial biometrics, accurately revealing morphological craniofacial differences in a T21 cohort. Future work should focus on improving measurement reliability, larger clinical cohorts, and technical advancements, to enhance prenatal care and phenotypic characterisation.

PLOS Digital HealthVol. 3(12)
St Thomas' Hospital (GB), City, University of London (GB), King's College London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Universitätsklinikum Erlangen (DE)
Wellcome Trust, National Institute for Health and Care Research, King's College London, European Commission, NIHR Maudsley Biomedical Research Centre, Medical Research Council, Engineering and Physical Sciences Research Council, Centre For Medical Engineering, King’s College London
Good health and well-being
Openalex Percentile: Top 7%
Fetal and Pediatric Neurological Disorders
3.33
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