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Published in: European Radiology 8/2021

Open Access 01-08-2021 | Magnetic Resonance Imaging | Oncology

Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer

Authors: Fabian H. J. Elsholtz, Patrick Asbach, Matthias Haas, Minerva Becker, Regina G. H. Beets-Tan, Harriet C. Thoeny, Anwar R. Padhani, Bernd Hamm

Published in: European Radiology | Issue 8/2021

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Abstract

“Node-RADS” addresses the lack of consensus in the radiologic assessment of lymph node involvement by cancer and meets the increasing demand for structured reporting on the likelihood of disease involvement. Node Reporting and Data System 1.0 (Node-RADS) systematically classifies the degree of suspicion of lymph node involvement based on the synthesis of established imaging findings. Straightforward definitions of imaging findings for two proposed scoring categories “size” and “configuration” are combined into assessment categories between 1 (“very low likelihood”) and 5 (“very high likelihood”). This scoring system is suitable for assessing likely involvement of lymph nodes on CT and MRI scans. It can be applied at any anatomical site, and to regional and non-regional lymph nodes in relation to a primary tumor location. Node-RADS will improve communication with referring physicians and promote the consistency of reporting for primary staging and in response assessment settings.

Key Points

• Node-RADS standardizes reporting of possible cancer involvement of regional and distant lymph nodes on CT and MRI.
• Node-RADS proposes the scoring categories “size” and “configuration” for assigning the 5-point Node-RADS score from 1 (“very low likelihood”) to 5 (“very high likelihood”).
• Node-RADS aims to increase consensus among radiologists for primary staging and in response assessment settings.
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Metadata
Title
Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer
Authors
Fabian H. J. Elsholtz
Patrick Asbach
Matthias Haas
Minerva Becker
Regina G. H. Beets-Tan
Harriet C. Thoeny
Anwar R. Padhani
Bernd Hamm
Publication date
01-08-2021
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 8/2021
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-07572-4

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