Evidence map›Paper›PMID 39740864›Full record

ArticleIn vivo (Athens, Greece)

Diagnostic Accuracy and Reliability of CT-based Node-RADS for Esophageal Cancer.

Jakob Leonhardi, Benedikt Schnarkowski, Matthias Mehdorn, Anne-Kathrin Höhn, Stefan Niebisch, Patrick Plum, Daniel Seehofer, Solveig Tiepolt, Timm Denecke, Hans-Jonas Meyer

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Article in In vivo (Athens, Greece). 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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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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jakob LeonhardiDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Benedikt SchnarkowskiDepartment 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.
Anne-Kathrin HöhnDepartment of Pathology, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Stefan NiebischDepartment of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Patrick PlumDepartment of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Daniel SeehoferDepartment of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Solveig TiepoltDepartment of Nuclear Medicine, University Hospital Leipzig, 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe recently published Node-Reporting and Data System (Node-RADS) can aid the characterization of lymph nodes in cross-sectional imaging. This study investigated the Node-RADS system in computed tomography (CT) to characterize lymph nodes in esophageal cancer. PATIENTS AND

methodsOverall, 126 patients (15 female, 11.9%) with a mean age of 62.1±10.4 years comprised the patient sample. All patients underwent resection with curative intent and the lymph nodes were histopathologically analyzed during clinical routine. For every patient, the locoregional lymph nodes were scored in accordance with the Node-RADS classification. For statistical analysis, receiver-operating characteristics (ROC) with area under the curve (AUC) were used to test for diagnostic accuracy; inter-reader variability was assessed with Cohen's kappa.

resultsOverall, 54 patients were nodal positive (42.9%), 72 patients were nodal negative (57.1%). Inter-reader agreement was substantial for the overall Node-RADS scoring ([Formula: see text]=0.65, p<0.001). ROC curve analysis for lymph node discrimination (N0 versus N1-3) showed an AUC of 0.69 (95% confidence interval=0.59-0.79). A threshold score of more than 2 resulted in a sensitivity of 0.77 and a specificity of 0.55 for correctly predicting nodal positivity. Node-RADS 1 category had a malignancy rate of 30%, Node-RADS 2 of 14%, Node-RADS 3 of 81%, Node-RADS 4 of 90.1% and Node-RADS 5 of 86.5%.

conclusionThe Node-RADS score on staging CT is associated with the malignancy rate of lymph nodes in patients with EC with only moderate diagnostic accuracy. The inter-reader variability is moderate, which could pose difficulties for translation into clinical routine.

Indexed as

Esophageal NeoplasmsLymphatic MetastasisLymph NodesROC CurveTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedNeoplasm StagingReproducibility of ResultsComputed tomographydiagnostic performanceesophageal cancerlymph node

Identifiers

PMID39740864
PMCPMC11705101

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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.