Adenomyosis As a Confounder to Accurate Endometrial Cancer Staging.


Journal

Seminars in ultrasound, CT, and MR
ISSN: 1558-5034
Titre abrégé: Semin Ultrasound CT MR
Pays: United States
ID NLM: 8504689

Informations de publication

Date de publication:
Aug 2019
Historique:
entrez: 4 8 2019
pubmed: 4 8 2019
medline: 6 2 2020
Statut: ppublish

Résumé

The coexistence of endometrial adenocarcinoma and adenomyosis in the same uterus is a common phenomenon. In many of such affected patients foci of adenomyosis could also be colonized by adenocarcinoma. The various permutations arising from these scenarios pose preoperative imaging and postoperative pathologic staging challenges. This article aims to raise awareness of these staging issues and lists some of the relevant practical approaches. Adenomyosis reduces the accuracy of magnetic resonance imaging in assessing the depth of invasion as it reduces the contrast between the endometrial cancer adenomyosis-involved myometrium. The article also offers an alternate argument for staging cancers where myoinvasion is found deep in the myometrium, arising from cancer-positive adenomyotic foci when the surface tumor is either limited to the endometrium or to the inner half of myometrium.

Identifiants

pubmed: 31375175
pii: S0887-2171(19)30025-3
doi: 10.1053/j.sult.2019.04.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

358-363

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Mahmoud A Khalifa (MA)

Department of Laboratory Medicine and Pathology, University of Minnesota, MN. Electronic address: mkhalifa@umn.edu.

Mostafa Atri (M)

Department of Medical Imaging, University of Toronto, Toronto, ON.

Molly E Klein (ME)

Department of Laboratory Medicine and Pathology, University of Minnesota, MN.

Sayak Ghatak (S)

Department of Laboratory Medicine and Pathology, University of Minnesota, MN.

Paari Murugan (P)

Department of Laboratory Medicine and Pathology, University of Minnesota, MN.

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Classifications MeSH