Evidence map›Paper›PMID 38976057›Full record

ArticleAbdominal radiology (New York)2025

Diagnostic accuracy and reliability of CT-based Node-RADS for colon cancer.

Jakob Leonhardi, Matthias Mehdorn, Sigmar Stelzner, Uwe Scheuermann, Anne-Kathrin Höhn, Daniel Seehofer, Benedikt Schnarkowski, Timm Denecke, Hans-Jonas Meyer

Abstract read
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 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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
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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

9 authors.

Jakob LeonhardiDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Matthias MehdornDepartment of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Sigmar StelznerDepartment of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Uwe ScheuermannDepartment of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Anne-Kathrin HöhnDepartment of Pathology, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Daniel SeehoferDepartment of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Benedikt SchnarkowskiDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Timm DeneckeDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Hans-Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany. Hans-jonas.meyer@medizin.uni-leipzig.de.ORCID 0000-0001-8489-706X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Node-RADS classification was recently published as a classification system to better characterize lymph nodes in oncological imaging. The present analysis investigated the diagnostic benefit of the Node-RADS classification of staging computed tomography (CT) images to categorize and stage lymph nodes in patients with colon cancer. MATERIALS AND

methodsAll patients were surgically resected and the lymph nodes were histopathological analyzed. All investigated lymph nodes were scored in accordance to the Node-RADS classification by two experienced radiologists. Interreader variability was assessed with Cohen's kappa analysis, discrimination analysis was performed with Mann-Whitney-U test and diagnostic accuracy was assessed with receiver-operating characteristics (ROC) curve analysis.

resultsOverall, 108 patients (n = 49 females, 45.3%) with a mean age of 70.08 ± 14.34 years were included. In discrimination analysis, the total Node-RADS score showed statistically significant differences between N- and N + stage (for reader 1: mean 1.89 ± 1.09 score for N- versus 2.93 ± 1.62 score for N+, for reader 2: 1.33 ± 0.48 score for N- versus 3.65 ± 0.94 score for N+, p = 0.001, respectively). ROC curve analysis for lymph node discrimination showed an area under the curve of 0.68. A threshold value of 2 resulted in a sensitivity of 0.62 and a specificity of 0.71.

conclusionNode-RADS score derived from staging CT shows only limited diagnostic accuracy to correctly predict nodal positivity in colon cancer. The interreader variability seems to be high and should question the clinical translation for this tumour entity.

Indexed as

Colonic NeoplasmsLymphatic MetastasisNeoplasm StagingTomography, X-Ray ComputedAdultAgedAged, 80 and overContrast MediaFemaleHumansLymph NodesMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaColon cancerComputed tomographyLymph node

Identifiers

PMID38976057
PMCPMC11711253

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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.