Evidence map›Paper›PMID 41148326›Full record

ArticleEuropean radiology2026

Multireader diagnostic performance of MRI-based Node-RADS for pelvic lymph node metastasis in endometrial carcinoma.

Guanyu Liu, Xiaoyu Wang, Mingli Zhao, Yanmei Zhu, Fengying Qin, Yihao Xing, Ci Wang, Yi Liu, Yue Dong

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Guanyu LiuDepartment of Radiology, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Xiaoyu WangDepartment of Radiology, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Mingli ZhaoDepartment of Radiology, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Yanmei ZhuDepartment of Pathology, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Fengying QinDepartment of Radiology, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Yihao XingDepartment of Medicine, Dalian University of Technology, Dalian, China.
Ci WangDepartment of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Yi LiuDepartment of Radiology, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Yue DongDepartment of Radiology, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China. dyy1026@sina.com.ORCID http://orcid.org/0000-0001-5795-716X

Funding

Applied Basic Research Project of Liaoning Province 2022JH2/101300074Fundamental Research Funds for the Central Universities LD2023034Joint Tackling Project in Science and Technology of Liaoning Province 2024JH2/102600185
6 · The paper itself

Abstract

objectivesTo evaluate the efficacy of the MRI-based Node Reporting and Data System (MRI-Node-RADS) in diagnosing pelvic lymph node metastasis (PLNM) in patients with endometrial carcinoma (EC). MATERIALS AND

methodsEC patients were retrospectively enrolled from July 2017 to August 2024. Two readers evaluated pelvic lymph nodes (PLNs) using MRI-Node-RADS. Pathological results served as the gold standard for determining the diagnostic accuracy of the scores. The criteria across size-based subregions were compared, focusing on obturator lymph nodes (Ob LNs) and non-obturator lymph nodes (non-Ob LNs). Inter-reader agreement was assessed using the weighted kappa statistic (κ

resultFour hundred seventy-five PLNs were evaluated in 174 EC patients, comprising 85 metastatic and 390 non-metastatic PLNs. The inter-reader agreement was near-perfect at both evaluation levels: patient-level analyses (κ

conclusionThe MRI-Node-RADS effectively diagnoses PLNM, and a score of > 2 may be recommended as the optimal reference value for diagnosing PLNM in EC patients. KEY POINTS: Question Accurate assessment of PLNM is crucial for patients with EC, yet standardized guidelines for radiological reports are lacking. Findings An MRI-Node-RADS score of > 2 is identified as the optimal cut-off for diagnosing PLNM, with nearly perfect inter-reader agreement. Clinical relevance MRI-Node-RADS demonstrates excellent performance in diagnosing PLN metastases in patients with EC, suggesting that Node-RADS could be used as a reliable tool for clinical staging and personalized therapeutic decision-making.

Indexed as

Endometrial NeoplasmsLymphatic MetastasisLymph NodesMagnetic Resonance ImagingAdultAgedAged, 80 and overFemaleHumansMiddle AgedObserver VariationPelvisRetrospective StudiesSensitivity and SpecificityDiagnosisEndometrial carcinomaLymph node metastasisMRINode-RADS

Identifiers

PMID41148326

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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.