Fetal MRI‐Based Body and Adiposity Quantification for Small for Gestational Age Perinatal Risk Stratification

Author:

Rabinowich Aviad123ORCID,Avisdris Netanell14ORCID,Yehuda Bossmat15,Zilberman Ayala36,Graziani Tamir23,Neeman Bar23,Specktor‐Fadida Bella4,Link‐Sourani Dafna1,Wexler Yair7,Herzlich Jacky38,Krajden Haratz Karina36,Joskowicz Leo49,Ben Sira Liat23,Hiersch Liran36,Ben Bashat Dafna135ORCID

Affiliation:

1. Sagol Brain Institute, Tel‐Aviv Sourasky Medical Center Tel‐Aviv Israel

2. Department of Radiology Tel‐Aviv Sourasky Medical Center Tel‐Aviv Israel

3. Faculty of Medicine Tel‐Aviv University Tel‐Aviv Israel

4. School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem Israel

5. Sagol School of Neuroscience Tel‐Aviv University Tel‐Aviv Israel

6. Department of Obstetrics and Gynecology, Lis Hospital for Women Tel‐Aviv Sourasky Medical Center Tel‐Aviv Israel

7. School of Neurobiology, Biochemistry and Biophysics, The George S. Wise Faculty of Life Sciences Tel‐Aviv University Tel‐Aviv Israel

8. Neonatal Intensive Care Unit, Dana Dwek Children's Hospital, Tel‐Aviv Sourasky Medical Center Tel‐Aviv Israel

9. Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Jerusalem Israel

Abstract

BackgroundSmall for gestational age (SGA) fetuses are at risk for perinatal adverse outcomes. Fetal body composition reflects the fetal nutrition status and hold promise as potential prognostic indicator. MRI quantification of fetal anthropometrics may enhance SGA risk stratification.HypothesisSmaller, leaner fetuses are malnourished and will experience unfavorable outcomes.Study TypeProspective.Population40 SGA fetuses, 26 (61.9%) females: 10/40 (25%) had obstetric interventions due to non‐reassuring fetal status (NRFS), and 17/40 (42.5%) experienced adverse neonatal events (CANO). Participants underwent MRI between gestational ages 30 + 2 and 37 + 2.Field Strength/Sequence3‐T, True Fast Imaging with Steady State Free Precession (TruFISP) and T1‐weighted two‐point Dixon (T1W Dixon) sequences.AssessmentTotal body volume (TBV), fat signal fraction (FSF), and the fat‐to‐body volumes ratio (FBVR) were extracted from TruFISP and T1W Dixon images, and computed from automatic fetal body and subcutaneous fat segmentations by deep learning. Subjects were followed until hospital discharge, and obstetric interventions and neonatal adverse events were recorded.Statistical TestsUnivariate and multivariate logistic regressions for the association between TBV, FBVR, and FSF and interventions for NRFS and CANO. Fisher's exact test was used to measure the association between sonographic FGR criteria and perinatal outcomes. Sensitivity, specificity, positive and negative predictive values, and accuracy were calculated. A P‐value <0.05 was considered statistically significant.ResultsFBVR (odds ratio [OR] 0.39, 95% confidence interval [CI] 0.2–0.76) and FSF (OR 0.95, CI 0.91–0.99) were linked with NRFS interventions. Furthermore, TBV (OR 0.69, CI 0.56–0.86) and FSF (OR 0.96, CI 0.93–0.99) were linked to CANO. The FBVR sensitivity/specificity for obstetric interventions was 85.7%/87.5%, and the TBV sensitivity/specificity for CANO was 82.35%/86.4%. The sonographic criteria sensitivity/specificity for obstetric interventions was 100%/33.3% and insignificant for CANO (P = 0.145).Data ConclusionReduced TBV and FBVR may be associated with higher rates of obstetric interventions for NRFS and CANO.Evidence Level2Technical EfficacyStage 5

Funder

Thrasher Research Fund

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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