Evidence map›Paper›PMID 36552962›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging.

Yiang Wang, Mengge He, Peng Cao, Philip P C Ip, Chien-Yuan Lin, Weiyin Liu, Chia-Wei Lee, Elaine Y P Lee

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 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

8 authors at 1 institution in 1 country.

Yiang WangDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-2656-1511
Mengge HeDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.
Peng CaoDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.
Philip P C IpDepartment of Pathology, The University of Hong Kong, Hong Kong SAR, China.
Chien-Yuan LinGE Healthcare, Taipei 104, Taiwan.
Weiyin LiuGE Healthcare, Taipei 104, Taiwan.
Chia-Wei LeeGE Healthcare, Taipei 104, Taiwan.
Elaine Y P LeeDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-0627-5297
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigates the association of T1, T2, proton density (PD) and the apparent diffusion coefficient (ADC) with histopathologic features of endometrial carcinoma (EC).

methodsOne hundred and nine EC patients were prospectively enrolled from August 2019 to December 2020. Synthetic magnetic resonance imaging (MRI) was acquired through one acquisition, in addition to diffusion-weighted imaging (DWI) and other conventional sequences using 1.5T MRI. T1, T2, PD derived from synthetic MRI and ADC derived from DWI were compared among different histopathologic features, namely the depth of myometrial invasion (MI), tumor grade, cervical stromal invasion (CSI) and lymphovascular invasion (LVSI) of EC by the Mann-Whitney U test. Classification models based on the significant MRI metrics were constructed with their respective receiver operating characteristic (ROC) curves, and their micro-averaged ROC was used to evaluate the overall performance of these significant MRI metrics in determining aggressive histopathologic features of EC.

resultsEC with MI had significantly lower T2, PD and ADC than those without MI (

conclusionsSynthetic MRI provided quantitative metrics to characterize EC with one single acquisition. Low T2, PD and ADC were associated with aggressive histopathologic features of EC, offering excellent performance in determining aggressive histopathologic features of EC.

Indexed as

diffusion-weighted imagingendometrial carcinomahistopathologic featuressynthetic magnetic resonance imaging

Identifiers

PMID36552962
PMCPMC9776551
OpenAlexW4310203969

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.