Evidence map›Paper›PMID 39046482›Full record

ArticleAbdominal radiology (New York)2025

Diagnostic performance of Node-RADS score for mesorectal lymph node metastasis in rectal cancer.

Yue Niu, Sanqiang Yu, Peng Chen, Mengjie Tang, Lu Wen, Yan Sun, Yanhui Yang, Yi Zhang, Yi Fu, Qiang Lu and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Node-RADS in cervical cancer: a multi-reader agreement and diagnostic performance study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
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  6. Article
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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

12 authors.

Yue NiuDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Sanqiang YuNorman Bethune Health Science Center of Jilin University , Changchun, 130021, Jilin, China.
Peng ChenDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Mengjie TangDepartment of Pathology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital , Changsha, 410013, Hunan, China.
Lu WenDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Yan SunDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Yanhui YangDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Yi ZhangDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Yi FuMedical Department, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital , Changsha, 410013, Hunan, China.
Qiang LuDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Tao LuoDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Xiaoping YuDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China. yuxiaoping@hnca.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the diagnostic performance of the Node-RADS scoring system on preoperative assessment of mesorectal lymph node metastasis (LNM) status in rectal cancer, in comparison with the ESGAR category and size of lymph node (LN).

methodsPreoperative clinical and MRI data of 154 rectal adenocarcinoma patients treated with radical resection surgery were retrospectively analyzed. The differences in the clinical, pathological and imaging characteristics between the pN- and pN + groups were surveyed. The correlations of Node-RADS score and ESGAR category to pN stage, LNM number and lymph node ratio (LNR) were investigated. The performances on assessing pathological LNM were compared among individual approaches. A nomogram combined the imaging and clinical features was also established and evaluated.

resultsSignificant differences in CEA, tumor maximum diameter, tumor location, LN short-axis diameter, Node-RADS score and ESGAR category were found between the pN- and pN + groups. Node-RADS correlated significantly with pN stage, LNM number, and LNR (r = 0.665, 0.685, and 0.675, p < 0.001). Node-RADS had the highest AUC (0.862) for predicting pN + status, surpassing ESGAR (AUC = 0.797, p = 0.040) and LN size (AUC = 0.762, p = 0.015). The nomogram had the best diagnostic performance (AUC = 0.901), significantly outperforming Node-RADS alone (p = 0.037).

conclusionsThe Node-RADS scoring system is comparable to the ESGAR category and surpasses short-axis diameter in preoperatively predicting LNM in rectal cancer. Integrating imaging and clinical features will lead to an enhancement in diagnostic performance. Moreover, a clear relationship was demonstrated between the Node-RADS score and the quantity-dependent pathological characteristics of LNM.

Indexed as

Lymphatic MetastasisLymph NodesMagnetic Resonance ImagingRectal NeoplasmsAdenocarcinomaAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm StagingNomogramsRetrospective StudiesESGAR categoryLymph nodeMagnetic resonance imagingNode-RADSRectal cancer

Identifiers

PMID39046482

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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.