Characterization of Uterine Motion in Early Gestation Using MRI-Based Motion Tracking.

MRI motion tracking human pregnancy maternal motion placenta MRI uterine contraction

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
19 Oct 2020
Historique:
received: 01 09 2020
revised: 25 09 2020
accepted: 15 10 2020
entrez: 22 10 2020
pubmed: 23 10 2020
medline: 23 10 2020
Statut: epublish

Résumé

Magnetic resonance imaging (MRI) is a promising non-invasive imaging technique that can be safely used to study placental development and function. However, studies of the human placenta performed by MRI are limited by uterine motion and motion in the uterus during MRI remains one of the major limiting factors. Here, we aimed to investigate the characterization of uterine activity during MRI in the second trimester of pregnancy using MRI-based motion tracking. In total, 46 pregnant women were scanned twice (first scan between 14 and 18 weeks and second scan between 19 and 24 weeks), and 20 pregnant subjects underwent a single MRI between 14 and 18 weeks GA, resulting in 112 MRI scans. An MRI-based algorithm was used to track uterine motion in the superior-inferior and left-right directions. Uterine contraction and maternal motion cases were separated by the experts, and unpaired Wilcoxon tests were performed within the groups of gestational age (GA), fetal sex, and placental location in terms of the overall intensity measures of the uterine activity. In total, 22.3% of cases had uterine contraction during MRI, which increased from 18.6% at 14-18 weeks to 26.4% at 19-24 weeks GA. The dominant direction of the uterine contraction and maternal motion was the superior to the inferior direction during early gestation.

Identifiants

pubmed: 33086473
pii: diagnostics10100840
doi: 10.3390/diagnostics10100840
pmc: PMC7603139
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD089714
Pays : United States
Organisme : NICHD NIH HHS
ID : U01 HD087221
Pays : United States
Organisme : NIH HHS
ID : U01-HD087221
Pays : United States

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Auteurs

Thomas Martin (T)

Radiological Sciences, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Carla Janzen (C)

Department of Obstetrics and Gynecology, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Xinzhou Li (X)

Radiological Sciences, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Irish Del Rosario (I)

Department of Epidemiology, UCLA School of Public Health, Los Angeles, CA 90095, USA.

Teresa Chanlaw (T)

Department of Pediatrics, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Sarah Choi (S)

Department of Pediatrics, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Tess Armstrong (T)

Radiological Sciences, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Rinat Masamed (R)

Radiological Sciences, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Holden H Wu (HH)

Radiological Sciences, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Sherin U Devaskar (SU)

Department of Pediatrics, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Kyunghyun Sung (K)

Radiological Sciences, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA.

Classifications MeSH