Benign Uterine Disease: The Added Role of Imaging.


Journal

Obstetrics and gynecology clinics of North America
ISSN: 1558-0474
Titre abrégé: Obstet Gynecol Clin North Am
Pays: United States
ID NLM: 8709551

Informations de publication

Date de publication:
Mar 2021
Historique:
entrez: 12 2 2021
pubmed: 13 2 2021
medline: 7 7 2021
Statut: ppublish

Résumé

Benign uterine diseases are very common gynecologic conditions that affect women mostly in reproductive age. Ultrasound examination is the first-line imaging technique, but MRI is more accurate for diagnosis, characterization, and patient management. In this review, we especially highlight the added value of MRI in the diagnosis of benign uterine disease, discuss their imaging characteristics, and describe the therapeutic options and the added value of MRI in the treatment planning.

Identifiants

pubmed: 33573786
pii: S0889-8545(20)30112-1
doi: 10.1016/j.ogc.2020.12.002
pii:
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

193-214

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Stephanie Nougaret (S)

Montpellier Cancer Research Institute, Montpellier, France; Department of Radiology, Montpellier Cancer Institute, INSERM, U1194, University of Montpellier, 208 Avenue des Apothicaires, Montpellier 34295, France. Electronic address: stephanienougaret@free.fr.

Teresa Margarida Cunha (TM)

Department of Radiology, Instituto Português de Oncologia de Lisboa Francisco Gentil, R. Prof. Lima Basto, Lisboa Codex 1099-023, Portugal.

Nadia Benadla (N)

Department of Radiology, Montpellier Cancer Institute, INSERM, U1194, University of Montpellier, 208 Avenue des Apothicaires, Montpellier 34295, France.

Mathias Neron (M)

Department of Surgery, Montpellier Cancer Institute, 208 Avenue des Apothicaires, Montpellier 34295, France.

Jessica B Robbins (JB)

University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

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Classifications MeSH