Accuracy of MRI-based Node-RADS in predicting metastatic lymph node involvement in Head and Neck Squamous Cell Carcinoma

The Node-RADS system exhibited high specificity and accuracy in identifying metastatic LNs in HNSCC patients, making it a promising tool for standardizing preoperative imaging assessments. However, further studies are needed to validate its application and improve its integration with advanced imaging techniques for enhanced diagnostic precision.

Authors

Institutions

Publication Details

Journal
European Journal of Radiology
Published
2025-03-15
DOI
https://doi.org/10.1016/j.ejrad.2025.112051
Citations
4
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
7.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accuracy of MRI-based Node-RADS in predicting metastatic lymph node involvement in Head and Neck Squamous Cell Carcinoma

Ilaria Villanova, Nicola Maria Lucarelli, Chiara Morelli, Chiara Copelli et al.
4 citations
European Journal of Radiology
Head and Neck Cancer Studies
7.39
article

Accuracy of MRI-based Node-RADS in predicting metastatic lymph node involvement in Head and Neck Squamous Cell Carcinoma

Ilaria Villanova, Nicola Maria Lucarelli, Chiara Morelli, Chiara Copelli, Giovanni D. Lorusso, Maria Chiara Brunese, Nicola Maggialetti, Amato Antonio Stabile Ianora, Sara Greco, Claudia Dipalma
article en
4 citations

Abstract

The Node-RADS system exhibited high specificity and accuracy in identifying metastatic LNs in HNSCC patients, making it a promising tool for standardizing preoperative imaging assessments. However, further studies are needed to validate its application and improve its integration with advanced imaging techniques for enhanced diagnostic precision.

European Journal of RadiologyVol. 186
University of Molise (IT), Azienda Universitaria Ospedaliera Consorziale - Policlinico Bari (IT), University of Bari Aldo Moro (IT)
Openalex Percentile: Top 3%
Head and Neck Cancer Studies
7.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.