Evidence map›Paper›PMID 40252124›Full record

ArticleJournal of cancer research and clinical oncology2025

Diagnostic performance of node-RADS classification for primary lymph node assessment in rectal cancer: a modality benchmarking study.

Li Jiang, Zijian Zhuang, Xi Tang, Fugang Zhang, Haitao Zhu, Xuewen Xu, Dongqing Wang, Lirong Zhang

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Li Jiang *Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Zijian Zhuang *Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Xi TangSchool of Medicine, Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Fugang ZhangSchool of Medicine, Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Haitao ZhuInstitute of Radiology and Artificial Intelligence, Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Xuewen XuDepartment of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China.
Dongqing WangDepartment of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China. wangdongqing71@163.com.
Lirong ZhangDepartment of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212001, China. tianchen861@ujs.edu.cn.ORCID https://orcid.org/0000-0002-3948-1193

Funding

Key Project of Jiangsu Provincial Health Commission K2019024National Natural Science Foundation of China 82272066Natural Science Foundation of Jiangsu Province BK20191223Scientific research project of the Jinshan Talent Training Program for high-level leading Talents YLJ202111
6 · The paper itself

Abstract

purposeTo evaluate how well the Node Reporting and Data System (Node-RADS) diagnoses lymph node involvement (LNI) in the initial stages of rectal cancer, utilizing contrast-enhanced CT (CE-CT), T2-weighted MRI (T2WI) and contrast-enhanced T1-weighted MRI (T1CE).

methodsThis retrospective study included 113 rectal cancer patients who underwent radical surgery without neoadjuvant therapy. Two radiologists independently assessed regional lymph nodes using the highest NODE-RADS classification and histopathology as reference criteria. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Statistical analysis was performed using the McNemar test with Bonferroni correction for multiple comparisons.

resultsNode-RADS showed improved diagnostic performance over short-axis diameter (SAD) in all modalities (AUC: 0.838 vs. 0.744 for CE-CT, 0.845 vs. 0.747 for T2WI, 0.853 vs. 0.786 for T1CE; all P < 0.05). The sensitivity and specificity of Node-RADS across three modalities ranged from 76.19 - 78.57% and 91.55 - 92.96%, respectively. Pairwise comparisons of sensitivity and specificity among the three modalities showed no significant differences after Bonferroni correction (all McNemar test P = 1.0). There was no significant difference in Node-RADS performance among the three modalities (all P > 0.05). The weighted kappa values were 0.742-0.798.

conclusionNode-RADS demonstrated superior diagnostic performance over SAD measurements and similar diagnostic effectiveness in assessing LNI for primary rectal cancer stages across CE-CT, T2WI, and T1CE.

Indexed as

Lymph NodesRectal NeoplasmsAdultAgedAged, 80 and overBenchmarkingFemaleHumansLymphatic MetastasisMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesROC CurveTomography, X-Ray ComputedComputed tomographyLymph nodeMagnetic resonance imagingNode reporting and data systemRectal cancer

Identifiers

PMID40252124
PMCPMC12009234

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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.