Evidence map›Paper›PMID 38402483›Full record

ArticleThe British journal of radiology2024

MRI combined with clinical features to differentiate ovarian thecoma-fibroma with cystic degeneration from ovary adenofibroma.

Juan Bo, Mingjie Sun, Chao Wei, Longyu Wei, Baoyue Fu, Bin Shi, Xin Fang, Jiangning Dong

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 4 institutions in 1 country.

Juan BoDepartment of Radiology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui 230001, China.
Mingjie SunFaculty of Graduate Studies, Wannan Medical College, Wuhu, Anhui 241002, China.
Chao WeiDepartment of Radiology, Western District, First Affiliated Hospital of University of Science and Technology of China, No.107 Huanhu East Road, Shushan District, Hefei, Anhui, 230031, China.
Longyu WeiFaculty of Graduate Studies, Bengbu Medical College, Bengbu, Anhui 233030, China.
Baoyue FuFaculty of Graduate Studies, Bengbu Medical College, Bengbu, Anhui 233030, China.
Bin ShiDepartment of Radiology, Western District, First Affiliated Hospital of University of Science and Technology of China, No.107 Huanhu East Road, Shushan District, Hefei, Anhui, 230031, China.
Xin FangDepartment of Radiology, Western District, First Affiliated Hospital of University of Science and Technology of China, No.107 Huanhu East Road, Shushan District, Hefei, Anhui, 230031, China.
Jiangning DongDepartment of Radiology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui 230001, China.ORCID 0000-0002-2954-076X
University of Science and Technology of China · CNBengbu Medical College · CNAnhui Medical University · CNWannan Medical College · CN

Funding

Key Research and Development Projects of Anhui Province 2022e07020008The University Science Technology Research Project of Anhui Educational Committee 2022AH051262
6 · The paper itself

Abstract

objectiveTo explore the value of magnetic resonance imaging (MRI) and clinical features in identifying ovarian thecoma-fibroma (OTF) with cystic degeneration and ovary adenofibroma (OAF).

methodsA total of 40 patients with OTF (OTF group) and 28 patients with OAF (OAF group) were included in this retrospective study. Univariable and multivariable analyses were performed on clinical features and MRI between the two groups, and the receiver operating characteristic (ROC) curve was plotted to estimate the optimal threshold and predictive performance.

resultsThe OTF group had smaller cyst degeneration degree (P < .001), fewer black sponge sign (20% vs. 53.6%, P = .004), lower minimum apparent diffusion coefficient value (ADCmin) (0.986 (0.152) vs. 1.255 (0.370), P < .001), higher age (57.4 ± 14.2 vs. 44.1 ± 15.9, P = .001) and more postmenopausal women (72.5% vs. 28.6%, P < .001) than OAF. The area under the curve of MRI, clinical features and MRI combined with clinical features was 0.870, 0.841, and 0.954, respectively, and MRI combined with clinical features was significantly higher than the other two (P < .05).

conclusionThe cyst degeneration degree, black sponge sign, ADCmin, age and menopause were independent factors in identifying OTF with cystic degeneration and OAF. The combination of MRI and clinical features has a good effect on the identification of the two. ADVANCES IN KNOWLEDGE: This is the first time to distinguish OTF with cystic degeneration from OAF by combining MRI and clinical features. It shows the diagnostic performance of MRI, clinical features, and combination of the two. This will facilitate the discriminability and awareness of these two diseases among radiologists and gynaecologists.

Indexed as

AdenofibromaMagnetic Resonance ImagingOvarian NeoplasmsThecomaAdultAgedDiagnosis, DifferentialFemaleFibromaHumansMiddle AgedOvarian CystsRetrospective Studiesclinical featuredifferential diagnosismagnetic resonance imagingovarian thecoma-fibromaovary adenofibroma

Identifiers

PMID38402483
PMCPMC11075974
OpenAlexW4392143571

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.