Feasibility and clinical value of virtual reality for deep infiltrating pelvic endometriosis: A case report.

Bowel endometriosis Deep Infiltrating endometriosis Surface rendering Surgical planning Three dimensional model Virtual reality

Journal

Journal of gynecology obstetrics and human reproduction
ISSN: 2468-7847
Titre abrégé: J Gynecol Obstet Hum Reprod
Pays: France
ID NLM: 101701588

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 06 05 2022
revised: 19 09 2022
accepted: 04 11 2022
pubmed: 10 11 2022
medline: 10 1 2023
entrez: 9 11 2022
Statut: ppublish

Résumé

Deep infiltrating pelvic endometriosis and its surgical management is associated with a risk of major postoperative complications. Magnetic Resonance Imaging (MRI) is recommended preoperatively in order to obtain the most precise mapping of the extent of endometriotic lesions. The aim of this work was to assess the feasibility and clinical interest of 3D modeling by surface rendering as a preoperative planning tool in a patient with deep infiltrating pelvic endometriosis. We report on a 42 years old patient with history of endometriosis and persistent pain underwent pre operative imaging with MRI that was consistent with deep infiltrating endometriosis. A 3D model of the deep infiltrating endometriosis was generated from the MRI and retrospectively compared to the intra-operative findings. The nodule's location and relationship to the uterus and the rectum was clearly defined by the 3D model and correlated with surgical findings. Virtual reality based on 3D models could be an interesting tool to assist in the preoperative planning of complex surgeries.

Identifiants

pubmed: 36351538
pii: S2468-7847(22)00182-9
doi: 10.1016/j.jogoh.2022.102500
pii:
doi:

Types de publication

Case Reports

Langues

eng

Sous-ensembles de citation

IM

Pagination

102500

Informations de copyright

Copyright © 2022. Published by Elsevier Masson SAS.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no conflict of interest.

Auteurs

Camille Martel (C)

University Hospitals of Strasbourg, Department of Gynecologic Surgery, Strasbourg, France. Electronic address: camille.martelbillard@gmail.com.

Charlotte Arnalsteen (C)

University Hospitals of Strasbourg, Department of Gynecologic Surgery, Strasbourg, France.

Lise Lecointre (L)

University Hospitals of Strasbourg, Department of Gynecologic Surgery, Strasbourg, France; IHU-Strasbourg (Institut Hospitalo-Universitaire), Insitute of Image-Guided Surgery, Strasbourg, France; ICube UMR 7357 - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie, CNRS, niversité de Strasbourg, Strasbourg, France.

Mathilde Lapointe (M)

University Hospitals of Strasbourg, Department of Gynecologic Surgery, Strasbourg, France.

Catherine Roy (C)

IHU-Strasbourg (Institut Hospitalo-Universitaire), Insitute of Image-Guided Surgery, Strasbourg, France.

Emilie Faller (E)

University Hospitals of Strasbourg, Department of Gynecologic Surgery, Strasbourg, France.

Thomas Boisramé (T)

University Hospitals of Strasbourg, Department of Gynecologic Surgery, Strasbourg, France.

Luc Soler (L)

Visible Patient S.A.S, 8 rue Gustave Adolphe Hirn 67000 Strasbourg, France.

Cherif Akladios (C)

University Hospitals of Strasbourg, Department of Gynecologic Surgery, Strasbourg, France.

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Classifications MeSH