Evidence map›Paper›PMID 34750737›Full record

ArticleJapanese journal of radiology2022

Utility of magnetic resonance imaging for differentiating malignant mesenchymal tumors of the uterus from T2-weighted hyperintense leiomyomas.

Koichiro Matsuura, Kaiji Inoue, Eri Hoshino, Masanori Yasuda, Kosei Hasegawa, Yoshitaka Okada, Yasutaka Baba, Eito Kozawa

Open access · hybridAbstract read
In one paragraph

Article in Japanese journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  9. Leiomyoma with Bizarre Nuclei: A Current Update.International journal of women's health · 2022
    Review
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 1 institution in 1 country.

Koichiro MatsuuraDepartment of Radiology, Saitama Medical University, 38, Morohongo, Moroyamamachi, Saitama, Japan. matsuurakoichiro0625@gmail.com.ORCID http://orcid.org/0000-0003-3559-4550
Kaiji InoueDepartment of Radiology, Saitama Medical University, 38, Morohongo, Moroyamamachi, Saitama, Japan.
Eri HoshinoDepartment of Radiology, Saitama Medical University, 38, Morohongo, Moroyamamachi, Saitama, Japan.
Masanori YasudaDepartment of Pathology, Saitama Medical University, 38, Morohongo, Moroyamamachi, Saitama, Japan.
Kosei HasegawaDepartment of Gynecologic Oncology, Saitama Medical University, 38, Morohongo, Moroyamamachi, Saitama, Japan.
Yoshitaka OkadaDepartment of Diagnostic Radiology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, Japan.
Yasutaka BabaDepartment of Diagnostic Radiology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, Japan.
Eito KozawaDepartment of Radiology, Saitama Medical University, 38, Morohongo, Moroyamamachi, Saitama, Japan.
Saitama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo generate a new discrimination method to distinguish between malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma based on magnetic resonance imaging findings and clinical features. MATERIALS AND

methodsData from 32 tumors of 32 patients with malignant mesenchymal tumors of the uterus and from 34 tumors of 30 patients with T2-weighted hyperintense leiomyoma were analyzed. Clinical parameters, qualitative magnetic resonance imaging features, including computed diffusion-weighted imaging, and quantitative characteristics of magnetic resonance imaging of these two tumor types were compared. Predictive values for malignant mesenchymal tumors of the uterus were calculated using variant discriminant analysis.

resultsThe T1 bright area on qualitative assessment and mean apparent diffusion coefficient value on quantitative assessment yielded the most independent magnetic resonance imaging differentiators of malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma. The classification accuracy of the variant discriminant analysis based on three selected findings, i.e., a T1 bright area, computed diffusion-weighted imaging with a b-value of 2000s/mm

conclusionsVariant discriminant analysis using the T1 bright area, cDWI

Indexed as

LeiomyomaUterine NeoplasmsDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingRetrospective StudiesUterusEndometrial stromal sarcomaLeiomyomaLeiomyosarcomaMRIUndifferentiated uterine sarcoma

Identifiers

PMID34750737
PMCPMC8977266
OpenAlexW3212450581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.