Evidence map›Paper›PMID 40514461›Full record

ArticleAbdominal radiology (New York)2026

Validation of the revised MUSA criteria for sonographic detection of adenomyosis.

Shekinah D Dosunmu, Albert Sarno, Eunice Lee, Cassandra Mitchell, Julia Wang, Kyle Shaak

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Shekinah D DosunmuLehigh Valley Health Network, Allentown, USA. shekinahdosunmu@gmail.com.
Albert SarnoLehigh Valley Health Network, Allentown, USA.
Eunice LeeLehigh Valley Health Network, Allentown, USA.
Cassandra MitchellLehigh Valley Health Network, Allentown, USA.
Julia WangLehigh Valley Health Network, Allentown, USA.
Kyle ShaakNetwork Office of Research and Innovation, Lehigh Valley Health Network, Allentown, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE(S): This study aims to assess the diagnostic accuracy of the revised Morphologic Uterus Sonographic Assessment (MUSA) criteria for adenomyosis.

methodsRetrospective review on 96 patients who underwent hysterectomy following ultrasound assessment between 1/3/2020-11/30/2023 for clinical reasons. Two blinded physician reviewers independently evaluated ultrasound images using the modified MUSA criteria. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and interrater reliability of the modified MUSA criteria were determined using hysterectomy specimens as the reference gold standard.

resultsReviewer 1 found the modified MUSA criteria were found to have a sensitivity of 63.2%, specificity of 65.5%, PPV of 54.4%, and NPV of 73.1%. For reviewer 2, sensitivity was 42.1%, specificity 62.1%, PPV 42.1%, and NPV 62.1%. Interrater agreement using Cohen's kappa was 72.9%. CONCLUSION(S): The modified MUSA criteria demonstrate moderate sensitivity and specificity in diagnosing adenomyosis. Inter-rater agreement was moderate with 72.9% concordance between ultrasound examiners. While useful in clinical assessment, this study suggests that the modified MUSA criteria lack high specificity and sensitivity, limiting their standalone diagnostic reliability.

Indexed as

AdenomyosisAdultFemaleHumansHysterectomyMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityUltrasonographyAdenomyosisEndometriumMUSA criteriaMyometriumPelvic pain

Identifiers

PMID40514461

What OpenQuestion holds

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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.