Evidence map›Paper›PMID 41207995›Full record

ReviewJapanese journal of radiology2026

Computed tomography and magnetic resonance imaging features of adnexal and leiomyoma torsion: correlation with laparoscopic findings.

Hideyuki Fukui, Takahiro Tsuboyama, Hiromitsu Onishi, Takashi Ota, Atsushi Nakamoto, Toru Honda, Kengo Kiso, Shohei Matsumoto, Koki Kaketaka, Takumi Tanigaki and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Japanese journal of radiology, 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

13 authors.

Hideyuki FukuiDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan. hidefukui@infoseek.jp.ORCID http://orcid.org/0000-0002-6330-2482
Takahiro TsuboyamaDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Hiromitsu OnishiDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Takashi OtaDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Atsushi NakamotoDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Toru HondaDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Kengo KisoDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Shohei MatsumotoDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Koki KaketakaDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Takumi TanigakiDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Masatoshi HoriDepartment of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Mitsuaki TatsumiDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Noriyuki TomiyamaDepartment of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adnexal torsion and pedunculated subserosal leiomyoma torsion are significant gynecological emergencies requiring prompt recognition and surgical intervention. Although ultrasound remains the primary imaging modality, cross-sectional imaging with computed tomography and magnetic resonance imaging plays a crucial role in diagnosis, particularly in complex cases. This review provides a comprehensive analysis of the imaging features of various types of torsion, with direct correlation with laparoscopic findings. We describe key imaging features across different modalities, focusing on specific manifestations of ovarian torsion variants, including massive ovarian edema, mature cystic teratoma, fibroma, and mucinous cystadenoma. Special attention was given to isolated fallopian tube torsion and its subtypes and the unique features of leiomyoma torsion. Understanding these imaging features and their correlation with laparoscopic findings is crucial for accurate diagnosis and appropriate surgical planning. This review emphasizes the importance of recognizing specific imaging patterns that can help guide clinical decision-making and improve patient outcomes through timely intervention.

Indexed as

Adnexal DiseasesLaparoscopyLeiomyomaMagnetic Resonance ImagingOvarian NeoplasmsOvarian TorsionTomography, X-Ray ComputedTorsion AbnormalityDiagnosis, DifferentialFemaleHumansAdnexal torsionComputed tomographyLaparoscopyLeiomyoma torsionMagnetic resonance imaging

Identifiers

PMID41207995
PMCPMC12860766

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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.