Evidence map›Paper›PMID 38441631›Full record

ArticleAbdominal radiology (New York)2024

Multiparametric MRI-based radiomics nomogram for identifying cervix-corpus junction cervical adenocarcinoma from endometrioid adenocarcinoma.

Yuhan Fang, Keying Wang, Meiling Xiao, Jiejun Cheng, Zijing Lin, Jinwei Qiang, Ying Li

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 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
0.6field-weighted citation impact, top 34% 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, 1 citations in OpenAlex.

  1. Article
  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

7 authors at 3 institutions in 1 country.

Yuhan Fang *Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, 201508, China.
Keying Wang *Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, 201508, China.
Meiling Xiao *Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China.
Jiejun ChengDepartment of Radiology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China.
Zijing LinDepartment of Radiology, Jinshan Hospital, Fudan University, Shanghai, 201508, China.
Jinwei Qiang *Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, 201508, China. dr.jinweiqiang@163.com.ORCID http://orcid.org/0000-0002-6327-1401
Ying Li *Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, 201508, China.
Jinshan Hospital of Fudan University · CNSecond Affiliated Hospital of Zhejiang University · CNShanghai First Maternity and Infant Hospital · CN

Funding

Shanghai Municipal Health Commission No.2020YJZK0209the National Natural Science Foundation of China No. 81971579the Youth Start-up Fund of Jinshan Hospital of Fudan University JYQN-JC-202004
6 · The paper itself

Abstract

objectiveTo developed a magnetic resonance imaging (MRI) radiomics nomogram to identify adenocarcinoma at the cervix-corpus junction originating from the endometrium or cervix in order to better guide clinical treatment.

methodsBetween February 2011 and September 2021, the clinicopathological data and MRI in 143 patients with histopathologically confirmed cervical adenocarcinoma (CAC, n = 86) and endometrioid adenocarcinoma (EAC, n = 57) were retrospectively analyzed at the cervix-corpus junction. Radiomics features were extracted from fat-suppressed T2-weighted imaging (FS-T2WI), diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) maps, and delayed phase contrast-enhanced T1-weighted imaging (CE-T1WI) sequences. A radiomics nomogram was developed integrating radscore with independent clinical risk factors. The area under the curve (AUC) was used to evaluate the diagnostic efficacy of the radscore, nomogram and two different experienced radiologists in differentiating CAC from EAC at the cervix-corpus junction, and Delong test was applied to compare the differences of their diagnostic performance.

resultsIn the training cohort, the AUC was 0.93 for radscore; 0.97 for radiomics nomograms; 0.85 and 0.86 for radiologists 1 and 2, respectively. Delong test showed that the differential efficacy of nomogram was significant better than those of radiologists in the training cohort (both P < 0.05).

conclusionsThe nomogram based on radscore and clinical risk factors could better differentiate CAC from EAC at the cervix-corpus junction than radiologists, and preoperatively and non-invasively identify the origin of adenocarcinoma at the cervix-corpus junction, which facilitates clinicians to make individualized treatment decision.

Indexed as

AdenocarcinomaCarcinoma, EndometrioidEndometrial NeoplasmsMultiparametric Magnetic Resonance ImagingNomogramsUterine Cervical NeoplasmsAdultAgedCervix UteriContrast MediaDiagnosis, DifferentialFemaleHumansMiddle AgedRadiomicsRetrospective StudiesContrast MediaCervical adenocarcinomaEndometrioid adenocarcinomaMagnetic resonance imagingNomogramRadiomics

Identifiers

PMID38441631
OpenAlexW4392470942

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.