Placental vascular tree characterization based on ex-vivo MRI with a potential application for placental insufficiency assessment.


Journal

Placenta
ISSN: 1532-3102
Titre abrégé: Placenta
Pays: Netherlands
ID NLM: 8006349

Informations de publication

Date de publication:
11 2020
Historique:
received: 30 07 2020
accepted: 03 08 2020
pubmed: 17 9 2020
medline: 21 10 2021
entrez: 16 9 2020
Statut: ppublish

Résumé

Understanding regarding the whole placental vascular network structure is limited. Our aim was to quantitatively characterize the human placental vascular tree ex-vivo using high-resolution MRI. 34 normal placentas were rinsed and injected with a solution of gelatin and contrast agent through the umbilical vessels. A sample of six placentas taken from pregnancies with intrauterine-growth-restriction (IUGR) was used to demonstrate the potential application to cases with placental insufficiency. Structural ex-vivo MR scans of the placenta were performed using high resolution T Different vascular patterns were found in placentas with central versus marginal cord-insertion. Based on the placental volume and number of bifurcations we were able to predict birth weight. Furthermore, preliminary results on IUGR sample demonstrated the potential of this method to differentiate between small newborns with suspected IUGR from small normal newborns who reached their full growth potential. Results obtained using the automatic method were validated against manual values demonstrating no significant differences or bias. Histopathology supported the imaging findings. This is the first study to quantitatively characterize the human placental vascular architecture using high resolution ex-vivo MRI. Different patterns of vascular architecture may be related to different functioning of the placenta and affect fetal development. This method is simple, relatively fast, provides detailed information of the placental vascular architecture, and may have important clinical applications.

Identifiants

pubmed: 32933767
pii: S0143-4004(20)30252-6
doi: 10.1016/j.placenta.2020.08.001
pii:
doi:

Types de publication

Letter Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

252-260

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Daphna Link (D)

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

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.

Ricardo Tarrasch (R)

Jaime and Joan Constantiner School of Education, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.

Stella Bak (S)

Division of Pathology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

Debora Kidron (D)

Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Pathology, Meir Medical Center, Kfar Saba, 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.

Simcha Yagel (S)

Obstretrics and Gynecology Division, Hadassah Hebrew University Medical Center, 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.

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. Electronic address: dafnab@tlvmc.gov.il.

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