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Abstract #0006

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

Aviad Rabinowich1,2,3, Netanell Avisdris1,4, Bossmat Yehuda1,5, Ayala Zilberman3,6, Tamir Graziani2,3, Bar Neeman2,3, Bella Specktor-Fadida4, Dafna Link-Sourani1, Yair Wexler7, Jacky Herzlich3,8, Karina Krajden Haratz3,6, Leo Joskowicz4,9, Liat Ben Sira2,3, Liran Hiersch3,6, and Dafna Ben Bashat1,3,5
1Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel, 2Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel, 3Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel, 4School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel, 5Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel, 6Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel, 7School of Neurobiology, Biochemistry and Biophysics, The George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel, 8Neonatal Intensive Care Unit, Dana Dwek Children's Hospital, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel, 9Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel

Synopsis

Keywords: YIA, Fetus

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.

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Abstract

Keywords