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Rabinowich A, Avisdris N, Yehuda B, Zilberman A, Graziani T, Neeman B, Specktor-Fadida B, Link-Sourani D, Wexler Y, Herzlich J, Krajden Haratz K, Joskowicz L, Ben Sira L, Hiersch L, Ben Bashat D. Fetal MRI-Based Body and Adiposity Quantification for Small for Gestational Age Perinatal Risk Stratification. J Magn Reson Imaging 2024; 60:767-774. [PMID: 37982367 DOI: 10.1002/jmri.29141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 11/06/2023] [Accepted: 11/06/2023] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND Small 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. HYPOTHESIS Smaller, leaner fetuses are malnourished and will experience unfavorable outcomes. STUDY TYPE Prospective. POPULATION 40 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/SEQUENCE 3-T, True Fast Imaging with Steady State Free Precession (TruFISP) and T1-weighted two-point Dixon (T1W Dixon) sequences. ASSESSMENT Total 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 TESTS Univariate 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. RESULTS FBVR (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 CONCLUSION Reduced TBV and FBVR may be associated with higher rates of obstetric interventions for NRFS and CANO. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 5.
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Affiliation(s)
- Aviad Rabinowich
- Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Netanell Avisdris
- Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Bossmat Yehuda
- Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Ayala Zilberman
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Tamir Graziani
- Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Bar Neeman
- Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Bella Specktor-Fadida
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dafna Link-Sourani
- Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Yair Wexler
- School of Neurobiology, Biochemistry and Biophysics, The George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Jacky Herzlich
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Neonatal Intensive Care Unit, Dana Dwek Children's Hospital, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Karina Krajden Haratz
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Leo Joskowicz
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Liat Ben Sira
- Department of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Liran Hiersch
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Obstetrics and Gynecology, Lis Hospital for Women, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Dafna Ben Bashat
- Sagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
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Garbow JR, Neil JJ. Editorial on "Ex vivo MRI of the Normal Human Placenta: Structural-Functional Interplay and the Association With Birth Weight". J Magn Reson Imaging 2021; 56:145-146. [PMID: 34873770 DOI: 10.1002/jmri.28020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 11/26/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Joel R Garbow
- Department of Radiology, St. Louis, Missouri, USA.,The Alvin J Siteman Cancer Center, St. Louis, Missouri, USA
| | - Jeffrey J Neil
- Department of Radiology, St. Louis, Missouri, USA.,Department of Neurology, St. Louis, Missouri, USA
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