Evidence map›Paper›PMID 39513570›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2025

Grading Sonographic Severity of Adenomyosis: A Pilot Study Assessing Feasibility and Interobserver Reliability.

Lisa M Trommelen, Robert A De Leeuw, Thierry Van den Bosch, Judith A F Huirne

Abstract read
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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  4. A Novel Semi-Quantified Method for Grading Sonographic Severity of Adenomyosis and its Relation With Clinical Symptoms: An Observational Study.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Observational
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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.

Lisa M TrommelenDepartment of Obstetrics and Gynecology, Amsterdam UMC, location AMC and VUMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9588-3154
Robert A De LeeuwDepartment of Obstetrics and Gynecology, Amsterdam UMC, location AMC and VUMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9344-7754
Thierry Van den BoschDepartment of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0001-6777-5036
Judith A F HuirneDepartment of Obstetrics and Gynecology, Amsterdam UMC, location AMC and VUMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-8248-2677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe reported prevalence of adenomyosis ranges widely due to different study populations, diagnostic tests and criteria. Categorizing the severity of disease may prove important. This study aims to develop a semi-quantifiable sonographic method to grade the severity of adenomyosis and assess the feasibility and interobserver reliability of this method.

methodsCross-sectional pilot study performed at a gynecology outpatient clinic, included 35 premenopausal women with adenomyosis, not taking hormonal medication. Diagnosis required ≥1 direct sonographic feature of adenomyosis. Two-dimensional (2D) grayscale video clips and 3-dimensional (3D) volumes of the uterus of the first 5 patients were evaluated using 6 offline methods to assess feasibility. Feasible methods were analyzed for interobserver (n = 3) reliability (Fleiss kappa or intraclass correlation) and compared with current ultrasound methods (Cohen's weighted kappa and Spearman's rank correlation). Current methods include real-time estimation (mild/moderate/severe) and counting the individual sonographic features.

results"eXtended Imaging virtual organ computer-aided analysis (XI VOCAL) counting" (counting affected slices of 20 parallel slices in the 3D volume), "Multiplanar and 3D rendering (MPR) estimation" (grading volume by eyeballing in multiplanar render mode), and "2D-clip estimation" (grading volume in 2D-clips) emerged as feasible methods. "XI VOCAL counting" and "2D-clip estimation" demonstrated good interobserver reliability, whereas "MPR estimation" had poor reliability. Comparison with real-time estimation showed moderate reliability with all methods. "XI VOCAL counting" and "MPR estimation" correlated positively with the number of sonographic features.

conclusion"XI VOCAL counting" demonstrated to be feasible with good interobserver reliability to assess the severity of adenomyosis in an objective, systematic, and semi-quantifiable fashion and should be validated with large-scale studies for future use. Future studies should also explore the association between sonographic severity and symptoms of adenomyosis.

Indexed as

AdenomyosisAdultCross-Sectional StudiesFeasibility StudiesFemaleHumansMiddle AgedObserver VariationPilot ProjectsReproducibility of ResultsSeverity of Illness IndexUltrasonographyUterusadenomyosisclassificationinterobserver reliabilityultrasonographyuterine diseases

Identifiers

PMID39513570
PMCPMC11796315

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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.