Evidence map›Paper›PMID 37189505›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels.

Ayako Suzuki, Aki Kido, Mitsuru Matsuki, Yasushi Kotani, Kosuke Murakami, Yukio Yamanishi, Isao Numoto, Hidekatsu Nakai, Tomoyuki Otani, Ikuo Konishi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Surgical management of uterine fibroids.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. 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

12 authors at 3 institutions in 1 country.

Ayako SuzukiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.ORCID 0000-0001-6076-9928
Aki KidoDepartment of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto 606-8507, Japan.ORCID 0000-0001-5131-2870
Mitsuru MatsukiDepartment of Radiology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.
Yasushi KotaniDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.
Kosuke MurakamiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.ORCID 0000-0003-4278-5849
Yukio YamanishiDepartment of Obstetrics and Gynecology, Japanese Red Cross Wakayama Medical Center, Wakayama 640-8558, Japan.
Isao NumotoDepartment of Radiology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.
Hidekatsu NakaiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.
Tomoyuki OtaniDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.ORCID 0000-0002-4351-324X
Ikuo KonishiDepartment of Gynecology and Obstetrics, Kyoto University, Kyoto 606-8507, Japan.
Masaki MandaiDepartment of Gynecology and Obstetrics, Kyoto University, Kyoto 606-8507, Japan.
Noriomi MatsumuraDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan.ORCID 0000-0002-4512-7975
Kindai University · JPKyoto University · JPJapanese Red Cross Society Wakayama Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to establish an evaluation method for detecting uterine sarcoma with 100% sensitivity using MRI and serum LDH levels.

methodsOne evaluator reviewed the MRI images and LDH values of a total of 1801 cases, including 36 cases of uterine sarcoma and 1765 cases of uterine fibroids. The reproducibility of the algorithm was also examined by four evaluators with different imaging experience and abilities, using a test set of 61 cases, including 14 cases of uterine sarcoma.

resultsFrom the MRI images and LDH values of 1801 cases of uterine sarcoma and uterine fibroids, we found that all sarcomas were included in the group with a high T2WI and either a high T1WI, an unclear margin, or high LDH values. In addition, when cases with DWI were examined, all sarcomas had high DWI. Among the 36 sarcoma cases, the group with positive findings for T2WI, T1WI, margins, and serum LDH levels all had a poor prognosis (

conclusionWe established an algorithm to distinguish uterine sarcoma if tumors in the myometrium with low T2WI and DWI are present.

Indexed as

LDHmorcellatorMRImyomectomyuterine fibroiduterine sarcoma

Identifiers

PMID37189505
PMCPMC10137865
OpenAlexW4365448714

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.