Ex-Vivo MRI of the Normal Human Placenta: Structural-Functional Interplay and the Association With Birth Weight.

birth weight ex-vivo MRI perfusion placenta structural-functional interplay umbilical cord insertion site

Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
07 2022
Historique:
revised: 05 11 2021
received: 27 08 2021
accepted: 08 11 2021
pubmed: 21 11 2021
medline: 15 6 2022
entrez: 20 11 2021
Statut: ppublish

Résumé

Advanced magnetic resonance imaging (MRI) methods are increasingly being used to assess the human placenta. Yet, the structure-function interplay in normal placentas and their associations with pregnancy risks are not fully understood. To characterize the normal human placental structure (volume and umbilical cord centricity index (CI)) and function (perfusion) ex-vivo using MRI, to assess their association with birth weight (BW), and identify imaging-markers for placentas at risk for dysfunction. Prospective. Twenty normal term ex-vivo placentas. 3 T/ T Placental volume and CI were manually extracted from the T Pearson correlations with correction for multiple comparisons using false discovery rate were performed between structural and functional parameters, and with BW, with P < 0.05 considered significant. All placentas were successfully perfused and scanned. Significant correlations were found between whole placenta and VOIs perfusion parameters (mean R = 0.76 ± 0.06, range = 0.67-0.89), which were also significantly correlated with CI (mean R = 0.72 ± 0.05, range = 0.65-0.79). BW was correlated with placental volume (R = 0.62), but not with CI (P = 0.40). BW was also correlated with local perfusion asymmetry (R = -0.71). Results demonstrate a gradient of placental function, associated with CI and suggest several ex-vivo imaging-markers that might indicate an increased risk for placental dysfunction. 1 TECHNICAL EFFICACY: Stage 1.

Sections du résumé

BACKGROUND
Advanced magnetic resonance imaging (MRI) methods are increasingly being used to assess the human placenta. Yet, the structure-function interplay in normal placentas and their associations with pregnancy risks are not fully understood.
PURPOSE
To characterize the normal human placental structure (volume and umbilical cord centricity index (CI)) and function (perfusion) ex-vivo using MRI, to assess their association with birth weight (BW), and identify imaging-markers for placentas at risk for dysfunction.
STUDY TYPE
Prospective.
POPULATION
Twenty normal term ex-vivo placentas.
FIELD STRENGTH/SEQUENCE
3 T/ T
ASSESSMENT
Placental volume and CI were manually extracted from the T
STATISTICAL TESTS
Pearson correlations with correction for multiple comparisons using false discovery rate were performed between structural and functional parameters, and with BW, with P < 0.05 considered significant.
RESULTS
All placentas were successfully perfused and scanned. Significant correlations were found between whole placenta and VOIs perfusion parameters (mean R = 0.76 ± 0.06, range = 0.67-0.89), which were also significantly correlated with CI (mean R = 0.72 ± 0.05, range = 0.65-0.79). BW was correlated with placental volume (R = 0.62), but not with CI (P = 0.40). BW was also correlated with local perfusion asymmetry (R = -0.71).
DATA CONCLUSION
Results demonstrate a gradient of placental function, associated with CI and suggest several ex-vivo imaging-markers that might indicate an increased risk for placental dysfunction.
LEVEL OF EVIDENCE
1 TECHNICAL EFFICACY: Stage 1.

Identifiants

pubmed: 34799945
doi: 10.1002/jmri.28002
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

134-144

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021 International Society for Magnetic Resonance in Medicine.

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Auteurs

Daphna Link-Sourani (D)

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

Netanell Avisdris (N)

Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.

Shaul Harel (S)

Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Pediatric Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

Liat Ben-Sira (L)

Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.

Tuvia Ganot (T)

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

Zoya Gordon (Z)

Department of Obstetrics and Gynecology, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Department of Medical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel.

Ariel Many (A)

Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Department of Obstetrics and Gynecology, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

Dafna Ben Bashat (D)

Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.

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