ArticleCancer imaging : the official publication of the International Cancer Imaging Society2022
CT texture analysis and node-RADS CT score of mediastinal lymph nodes - diagnostic performance in lung cancer patients.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Diagnostic accuracy of node-RADS for the detection of lymph node invasion: a systematic review and meta-analysis.European radiology · 2025Pooled it
- Node-RADS: a systematic review and meta-analysis of diagnostic performance, category-wise malignancy rates, and inter-observer reliability.European radiology · 2025Pooled it
- Assessment of inter-reader agreement and diagnostic performance of Node-RADS in colon cancer.Insights into imaging · 2026Article
- Prognostic and Diagnostic Value of Node-RADS for Non-Small Cell Lung Cancer Following Neoadjuvant Therapy: A Multicenter Cohort Study.Diagnostics (Basel, Switzerland) · 2026Article
- Diagnostic and prognostic performance of MRI-based Node-RADS for regional lymph node assessment in treatment-naive rectal cancer.European radiology · 2026Article
- A head-to-head comparison of MRI and CT using Node-RADS for rectal cancer lymph nodes: Observer agreement and diagnostic performance.European journal of radiology open · 2026Article
- Prognostic value of pretherapy CT-based Node-RADS for overall survival in extensive-stage small cell lung cancer treated with chemoimmunotherapy: a comparison with clinical N staging.Quantitative imaging in medicine and surgery · 2026Article
- Prognostic value of Node-RADS scoring in stage IIICr cervical cancer: development and validation of novel nomograms.Insights into imaging · 2026Article
- Diagnostic performance of Node-RADS on MRI for a standardized assessment of lymph node metastasis in ovarian cancer.Abdominal radiology (New York) · 2026Article
- An improved diagnostic criterion based on Node-RADS MRI score for lymph node metastasis in papillary thyroid carcinoma.Quantitative imaging in medicine and surgery · 2026Article
- Diagnostic performance of CT-based node reporting and data system (Node-RADS) for regional lymph node metastasis in periampullary cancer.Abdominal radiology (New York) · 2026Article
- Predictive value of node-RADS scoring system for axillary lymph node metastasis in breast cancer.BMC medical imaging · 2026Article
- Standardizing cervical lymph node evaluation in papillary thyroid carcinoma: diagnostic accuracy of Node-RADS on ultrasound.Frontiers in endocrinology · 2026Article
- CT radiomics-histopathological correlation for mediastinal lymph node staging in non-small cell lung cancer.PloS one · 2026Article
- A narrative review of imaging intratumor heterogeneity in non-small cell lung cancer: current advances.Translational lung cancer research · 2025Review
- Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma.European radiology · 2025Article
- Value of Post-NAC CT-based Node-RADS score for Predicting residual lymph node metastasis and survival outcome of locally advanced gastric cancer.Abdominal radiology (New York) · 2025Article
- Construction of a prediction model for peripheral lymph node metastasis in patients with colorectal cancer based on enhanced CT texture features.World journal of surgical oncology · 2025Article
- Validation of the Node Reporting and Data System (Node-RADS) for standardized CT evaluation of regional lymph nodes in esophageal squamous cell carcinoma patients.European radiology · 2025Article
- Diagnostic performance of node-RADS classification for primary lymph node assessment in rectal cancer: a modality benchmarking study.Journal of cancer research and clinical oncology · 2025Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTexture analysis derived from computed tomography (CT) can provide clinically relevant imaging biomarkers. Node-RADS is a recently proposed classification to categorize lymph nodes in radiological images. The present study sought to investigate the diagnostic abilities of CT texture analysis and Node-RADS to discriminate benign from malignant mediastinal lymph nodes in patients with lung cancer.
methodsNinety-one patients (n = 32 females, 35%) with a mean age of 64.8 ± 10.8 years were included in this retrospective study. Texture analysis was performed using the free available Mazda software. All lymph nodes were scored accordingly to the Node-RADS classification. All primary tumors and all investigated mediastinal lymph nodes were histopathologically confirmed during clinical workup.
resultsIn discrimination analysis, Node-RADS score showed statistically significant differences between N0 and N1-3 (p < 0.001). Multiple texture features were different between benign and malignant lymph nodes: S(1,0)AngScMom, S(1,0)SumEntrp, S(1,0)Entropy, S(0,1)SumAverg. Correlation analysis revealed positive associations between the texture features with Node-RADS score: S(4,0)Entropy (r = 0.72, p < 0.001), S(3,0) Entropy (r = 0.72, p < 0.001), S(2,2)Entropy (r = 0.72, p < 0.001).
conclusionsSeveral texture features and Node-RADS derived from CT were associated with the malignancy of mediastinal lymph nodes and might therefore be helpful for discrimination purposes. Both of the two quantitative assessments could be translated and used in clinical routine.
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