Deep pelvic infiltrating endometriosis: MRI consensus lexicon and compartment-based approach from the ENDOVALIRM group.

Deep infiltrating endometriosis Magnetic resonance imaging RAND-UCLA appropriateness method Reporting compliance

Journal

Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 11 07 2022
revised: 12 09 2022
accepted: 13 09 2022
pubmed: 21 11 2022
medline: 9 3 2023
entrez: 20 11 2022
Statut: ppublish

Résumé

The purpose of this consensus article was to develop guidelines by a focused panel of experts to elaborate a lexicon of image interpretation, and a standardized region-based reporting of deep infiltrating endometriosis (DIE) with magnetic resonance imaging (MRI). Evidence-based data and expert opinion were combined using the RAND-UCLA Appropriateness Method to attain consensus guidelines. Experts scoring of pelvic compartment delineation and reporting template were collected; responses were analyzed and classified as "RECOMMENDED" versus "NOT RECOMMENDED" (when ≥ 80% consensus among experts) or uncertain (when < 80% consensus among experts). Consensus regarding pelvic compartment delineation and DIE reporting was attained using the RAND-UCLA Appropriateness Method. The pelvis was divided in nine compartments and extrapelvic lesions were assigned to an additional (tenth) compartment. A consensus was also reached for each structure attributed to a compartment and each reporting template item among the experts. No consensus was reached for a normal aspect of uterosacral ligament, but a consensus was reached for an unequivocal involvement leading to a positive diagnosis and an equivocal involvement leading to uncertain diagnosis. Tailored MRI lexicon and standardized region-based report were proposed. These consensus recommendations should be used as a guide for DIE reporting and staging with MRI. Standardized MRI compartment-based structured reporting is recommended to enable consistent accuracy and help select the best therapeutic approach.

Identifiants

pubmed: 36404224
pii: S2211-5684(22)00170-X
doi: 10.1016/j.diii.2022.09.004
pii:
doi:

Types de publication

Practice Guideline Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

95-112

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Pascal Rousset declares consultancies for ZIWIG and EDAP TMS France. François Golfier declares consultancies for ZIWIG. The other authors have no competing interests to disclose.

Auteurs

Pascal Rousset (P)

Department of Diagnostic and Interventional Imaging, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, CICLY - EA3738, Pierre Bénite 69495, France. Electronic address: pascal.rousset@chu-lyon.fr.

Marie Florin (M)

Department of Diagnostic and Interventional Imaging, Assistance Publique Hôpitaux de Paris, Hôpital Tenon, Paris 75020, France.

Nishat Bharwani (N)

Service for Urological and Gynecological Imaging, Imperial College Healthcare NHS Trust, London, England.

Cyril Touboul (C)

Department of Gynecology and Obstetrics, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Sorbonne Université, INSERM UMRS 938, Paris 75020, France.

Michèle Monroc (M)

Department of Radiology, Clinique Saint Antoine, Bois Guillaume 76230, France.

François Golfier (F)

Department of Gynecological and Oncological Surgery, Obstetrics, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, CICLY - EA3738, Pierre Bénite 69495, France.

Stéphanie Nougaret (S)

Department of Radiology, Montpellier Cancer Institute, U1194, Montpellier University, Montpellier 34295, France.

Isabelle Thomassin-Naggara (I)

Department of Diagnostic and Interventional Imaging, Assistance Publique Hôpitaux de Paris, Hôpital Tenon, Sorbonne Université, Paris 75020, France.

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