Evidence map›Paper›PMID 34967506›Full record

ArticleCancer medicine2022

Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas.

Chia-Ying Wu, Yi-Jou Tai, I-Lun Shih, Ying-Cheng Chiang, Yu-Li Chen, Heng-Cheng Hsu, Wen-Fang Cheng

Open access · goldAbstract read
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Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Chia-Ying WuDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0001-9431-5916
Yi-Jou TaiDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-1442-0850
I-Lun ShihDepartment of Medical Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0001-9187-1562
Ying-Cheng ChiangDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-8958-5222
Yu-Li ChenDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-9742-4752
Heng-Cheng HsuDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-6817-0693
Wen-Fang ChengDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-3282-6304
National Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the agreement and accuracy of preoperative magnetic resonance imaging (MRI) with postoperative pathological characteristics and stages of endometrial endometrioid carcinoma (EEC).

methodsWe recruited 527 women with EEC who underwent staging surgery at a single medical institution. The preoperative MRI, stages, and clinical and pathological parameters, including myometrial invasion (MI), cervical invasion (CI), adnexal metastasis (AM), intra-abdominal metastasis, and pelvic and/or para-aortic nodal metastasis, were recorded and analyzed. The agreement and accuracy between the preoperative MRI findings and these parameters and stages were assessed.

resultsThe rate of the preoperative MRI-based clinical stage matching the postoperative surgical stage was 85.2% in International Federation of Gynecology and Obstetrics stage IA, 51.9% in stage IB, 35.5% in stage II, 5.3% in stage IIIA, 33.3% in stage IIIB, 28.6% in stage IIIC1, 64.3% in stage IIIC2, and 93.8% in stage IVB. The consistency between radiologists and pathologists was 80.5% for deep MI, 91.5% for cervical invasion, 92.2% for adnexal metastasis, 98.9% for intra-abdominal metastasis, and 87.5% and 92.2% for pelvic and para-aortic nodal metastases, respectively. The negative predictive value of intra-abdominal metastasis was the highest with 99.8%.

conclusionsPreoperative MRI could be an excellent tool for routine preoperative assessment to predict pathological parameters and stages of EEC, especially in excluding intra-abdominal metastatic disease.

Indexed as

Carcinoma, EndometrioidEndometrial NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingNeoplasm InvasivenessNeoplasm Stagingendometrial carcinomamagnetic resonance imagemetastasisstage

Identifiers

PMID34967506
PMCPMC8855918
OpenAlexW4200103748

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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.