Evidence map›Paper›PMID 40462863›Full record

ArticleCase reports in obstetrics and gynecology2025

Two-Step Parametrial Endometriosis Nodule Excision Using Virtual Reality Technology and 3D Modelling for Surgical Planning.

Rooma Sinha, Sukhbir Singh, Teresa Flaxman

Abstract readCase Reports
In one paragraph

Article in Case reports in obstetrics and gynecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rooma SinhaDepartment of Gynaecology and Robotic Surgery, Apollo Hospitals, Hyderabad, Telangana, India.ORCID https://orcid.org/0000-0001-8221-2282
Sukhbir SinghDepartment of Obstetrics, Gynecology, and Newborn Care, The Ottawa Hospital, Ottawa, Canada.ORCID https://orcid.org/0000-0002-2042-3751
Teresa FlaxmanClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive and infiltrative fibrous adhesions of the uterus and ovaries to the surrounding organs make surgical interventions in endometriosis challenging. A preoperative identification of these involvements can help the surgeon better prepare for the surgery. Traditionally, ultrasonography and magnetic resonance imaging (MRI) have been used. However, clinical use of modern VR technology for creating and visualising a three-dimensional (3D) digital model for a complex surgical case has been proposed. We describe a case of a 29-year-old who presented with dyspareunia and dysmenorrhea (VAS score of 10/10) with left parametrial endometriosis and created a 3D model from their two-dimensional (2D) DICOM images. A left parametrial endometriosis nodule was identified involving the left ureter, rectum, and vaginal fornix along with mucosa. A virtual preoperative surgery was done for precise and complete excision of the disease and to prevent injury to the left ureter and rectum. The surgery was performed as a two-step excision using a da Vinci Xi robot and included left ureterolysis, shaving of the bowel endometriosis nodule and full-thickness vaginal wall excision along with the infiltrating nodule. The infiltrating endometriosis nodule was split into two halves and was excised individually. Her postoperative VAS score for dysmenorrhea was 2/10, and she is 28 weeks pregnant at the time of submission. Advanced VR imaging can help in the evaluation and management of deep endometriosis. It can improve the surgeon's understanding of the specific anatomy, visualise the disease, and improve clinical outcomes.

Identifiers

PMID40462863
PMCPMC12133356

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.