Fetal MRI-based body and adiposity quantification for small for gestational age perinatal risk stratification

Motivation: Small for gestational age (SGA) fetuses are undernourished and at higher risk for adverse outcomes; however, conventional assessment methods exhibit limited sensitivity. Goal(s): To stratify perinatal risk using MRI-based body composition metrics. Approach: TruFISP and 2-points Dixon images were used to compute the total fetal volume (TFV), fat-to-body volume ratio (FBVR) and adipose tissue fat signal fraction (FSF) using deep-learning segmentation. Results: SGA fetuses (N=40) with lower FBVR were more likely to require obstetric interventions because of non-reassuring status, while those with reduced TFV were prone to adverse neonatal outcomes. The model’s sensitivity/specificity rates are 85.7%/87.5% and 82.35%/86.4%, respectively. Impact: Quantifying fetal body composition through MRI can offer additional insights into the severity of small for gestational age complicated pregnancies and may help in stratifying perinatal risk.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0006
Citations
2
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
1.11
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article

Fetal MRI-based body and adiposity quantification for small for gestational age perinatal risk stratification

Bella Specktor‐Fadida, Bossmat Yehuda, Aviad Rabinowich, Leo Joskowicz et al.
2 citations
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Fetal and Pediatric Neurological Disorders
1.11
article

Fetal MRI-based body and adiposity quantification for small for gestational age perinatal risk stratification

Bella Specktor‐Fadida, Bossmat Yehuda, Aviad Rabinowich, Leo Joskowicz, Jacky Herzlich, Dafna Ben Bashat, Yair Wexler, Bar Neeman, Liat Ben‐Sira, Karina Krajden Haratz, Liran Hiersch, A. Zilberman, Netanell Avisdris, Dafna Link‐Sourani, Tamir Graziani
article en
2 citations

Abstract

Motivation: Small for gestational age (SGA) fetuses are undernourished and at higher risk for adverse outcomes; however, conventional assessment methods exhibit limited sensitivity. Goal(s): To stratify perinatal risk using MRI-based body composition metrics. Approach: TruFISP and 2-points Dixon images were used to compute the total fetal volume (TFV), fat-to-body volume ratio (FBVR) and adipose tissue fat signal fraction (FSF) using deep-learning segmentation. Results: SGA fetuses (N=40) with lower FBVR were more likely to require obstetric interventions because of non-reassuring status, while those with reduced TFV were prone to adverse neonatal outcomes. The model’s sensitivity/specificity rates are 85.7%/87.5% and 82.35%/86.4%, respectively. Impact: Quantifying fetal body composition through MRI can offer additional insights into the severity of small for gestational age complicated pregnancies and may help in stratifying perinatal risk.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Zero hunger
Openalex Percentile: Top 16%
Fetal and Pediatric Neurological Disorders
1.11
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