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Related Experiment Video

Updated: Jun 19, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Published on: April 18, 2025

Node-RADS in cervical cancer: a multi-reader agreement and diagnostic performance study.

Shifang Tan1, Xueyan Liu1, Bairu Li1

  • 1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.

Cancer Imaging : the Official Publication of the International Cancer Imaging Society
|June 18, 2026
PubMed
Summary

The Node Reporting and Data System (Node-RADS) shows good agreement for staging cervical cancer lymph nodes. Reader experience influences diagnostic performance, with senior radiologists achieving higher accuracy.

Keywords:
AgreementErvical cancerLymph node stagingMRINode-RADS

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Accurate preoperative lymph node staging is crucial for cervical cancer treatment planning.
  • The Node Reporting and Data System (Node-RADS) 1.0 aims to standardize lymph node assessment on MRI.

Purpose of the Study:

  • To evaluate the inter-reader agreement and diagnostic performance of Node-RADS for cervical cancer lymph node staging.
  • To assess the impact of reader experience on Node-RADS performance.

Main Methods:

  • Retrospective analysis of 439 cervical cancer patients with preoperative MRI and lymph node dissection.
  • Four readers (2 senior, 2 junior) independently applied Node-RADS scores, blinded to pathology.
  • Agreement assessed using kappa statistics; diagnostic performance evaluated against histopathology.

Main Results:

  • Senior readers demonstrated near-perfect agreement (kappa > 0.95) for Node-RADS scores and nodal status.
  • Junior readers showed moderate to substantial agreement (kappa 0.554-0.754).
  • Senior readers had higher diagnostic performance (AUC 0.868) for nodal metastasis detection compared to junior readers (AUC 0.758).

Conclusions:

  • Node-RADS provides reliable lymph node staging in cervical cancer with good inter-reader agreement, especially among experienced radiologists.
  • Reader experience influences diagnostic performance, highlighting the need for training and standardization.