Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
Division of Radiology, Department of Imaging and Medical Informatics, Geneva University Hospitals, University of Geneva, Geneva, Switzerland.
Eur Radiol. 2021 Aug;31(8):6116-6124. doi: 10.1007/s00330-020-07572-4. Epub 2021 Feb 14.
"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.
"Node-RADS" 解决了癌症淋巴结受累的放射学评估缺乏共识的问题,满足了对疾病受累可能性进行结构化报告的日益增长的需求。Node Reporting and Data System 1.0(Node-RADS)系统地根据既定的影像学发现综合分类淋巴结受累的可疑程度。为两个提议的评分类别“大小”和“形态”的影像学发现提供了明确的定义,并将其组合成介于 1(“低度可能性”)和 5(“高度可能性”)之间的评估类别。该评分系统适用于评估 CT 和 MRI 扫描中淋巴结受累的可能性。它可以应用于任何解剖部位,以及与原发肿瘤位置相关的区域和非区域淋巴结。Node-RADS 将改善与转诊医生的沟通,并促进原发分期和反应评估中的报告一致性。要点:
Node-RADS 标准化了 CT 和 MRI 上区域性和远处淋巴结可能受累的报告。
Node-RADS 提出了“大小”和“形态”评分类别,用于从 1(“低度可能性”)到 5(“高度可能性”)分配 5 分的 Node-RADS 评分。
Node-RADS 旨在增加放射科医生在原发分期和反应评估中的共识。