MRI as a promising tool for adhesion assessment in endometriosis: a feasibility study with laparoscopic correlation
other
OA: hybrid
CC-BY-4.0
Abstract
STUDY OBJECTIVE: To investigate the feasibility of magnetic resonance imaging (MRI) in detecting and classifying adhesions between pelvic organs caused by endometriosis, comparing MRI findings to those obtained by laparoscopy.
DESIGN: Prospective observational study conducted at two medical centres in Japan.
SETTING: Tertiary referral centres for endometriosis and gynaecologic imaging.
PATIENTS: Sixty-five women with suspected endometriosis scheduled for laparoscopic surgery were enrolled. A total of 55 were included in the final analysis following protocol compliance and image quality review.
INTERVENTIONS: MRI and laparoscopic assessments were independently performed to identify adhesions between the uterus, bladder, rectum, and ovaries. Adhesions were classified using a two-category scale (none vs. present) and a semi-quantitative three-category scale (none, mild, severe).
MAIN OUTCOME MEASURES: Agreement rates and Cohen's κ coefficients between MRI and laparoscopic findings for each adhesion site were assessed.
RESULTS: Each adhesion was identified in 1.8-67.3 % of 55 patients by MRI and 1.8-58.2 % by laparoscopy. In the two-category evaluation, overall agreement between MRI and laparoscopy was high (mean agreement rate: 77 %), though κ values ranged from - 0.02 to 0.50, indicating modest reliability. The three-category evaluation showed more variable agreement (mean agreement rate: 66 %; κ range: -0.02 to 0.41), with notable discrepancies in interpreting adhesions between the uterus and rectum, and between the ovary and rectum.
CONCLUSIONS: MRI could demonstrate potential to detect pelvic adhesions due to endometriosis, with moderate agreement compared to laparoscopically diagnosed results. While not yet a substitute for surgical diagnosis, MRI may serve as a non-invasive adjunct in preoperative planning and future therapeutic evaluation.
My notes (saved in your browser only)
Condition tags
MeSH descriptors
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- europepmc
- last seen: 2026-06-15T06:13:43.845377+00:00
- pubmed
- last seen: 2026-06-15T06:10:00.687832+00:00
- unpaywall
- last seen: 2026-05-11T08:34:28.763810+00:00
License: CC-BY-4.0
· commercial use OK
· attribution required
Courtesy of the U.S. National Library of Medicine
Courtesy of the U.S. National Library of Medicine