Evidence map›Paper›PMID 39177777›Full record

ReviewAbdominal radiology (New York)2025

MR imaging for preoperative characterization of pelvic adhesions: role in diagnosis and surgical planning.

Taha M Ahmed, Abigail Coco, Arthur J Vaught, Erin N Gomez

Abstract readReview
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In one paragraph

Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Head-to-head prospective comparison of diagnostic accuracy of preoperative ultrasonography and MRI in patients undergoing surgery for deep endometriosis using #Enzian classification.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
    Observational
  2. Article
  3. Article
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

4 authors.

Taha M AhmedRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD, 21205, USA.
Abigail CocoThe Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD, 21205, USA.
Arthur J VaughtDivision of Maternal Fetal Medicine, Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, 600 N Wolfe Street, Baltimore, MD, 21287, USA.
Erin N GomezRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, MD, 21205, USA. egomez8@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pelvic adhesions are nonanatomic connections between organs and normal peritoneal surfaces that develop secondary to a maladaptive inflammatory response to tissue insults. Comprised of fibrous tissue, adhesions can result in the distortion of operative dissection planes, which can complicate the establishment of abdominal access in patients undergoing surgery, prolong the length of surgery, and increase the risk of injury to bowel and other structures if involved by extensive adhesive disease. This can adversely impact patient outcomes by increasing the risk of surgical complications including bleeding, infection, and prolonging postoperative length of stay. Literature on the characterization of adhesions with imaging is limited and a systematic framework for evaluating adhesive disease on cross-sectional imaging of the pelvis does not currently exist. In this review, we discuss the MR imaging features of pelvic adhesions, highlighting unique teaching cases in which surgical exploration was significantly complicated by the presence of adhesive disease. We will also review the correlation between MR imaging and intraoperative findings in these cases. A proposed standardized framework for the detection and characterization of adhesions on pelvic MRI will be reviewed with multiple imaging examples. Identification and characterization of pelvic adhesive disease on preoperative imaging provides radiologists with an opportunity to inform the referring clinician of their presence, potentially improving outcomes and the quality of patient care.

Indexed as

Tissue AdhesionsUrogenital DiseasesAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPelvisUrinary BladderUrogenital Surgical ProceduresUterusAbdomenAdhesiolysisAdhesionsDetectionMRIPelvis

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Registered trials

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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.