Diagnostic and Prognostic Value of MRI-based Node-RADS for Regional Lymph Node Metastasis in Renal Cell Carcinoma
Motivation: The prognostic property of regional lymph node metastasis (RLNM) has been widely recognized, but the diagnostic workup has stagnated for renal cell carcinoma (RCC). Goal(s): This study aimed to assess the diagnostic performance of MRI-based Node Reporting and Data System (Node-RADS) for RLNM and to explore its prognostic impact on patients with RCC. Approach: A single-center retrospective comparative study. Results: MRI-based Node-RADS presented better diagnostic performance for RLNM than the size criteria and previous clinical models (AUC, 0.91 vs 0.79–0.85; all P<.05), and exhibited a substantial prognostic value for RCCs regarding progress-free survival and overall survival (both P<.001). Impact: Node-RADS, a concept that combines size, texture, margin, and shape, is a promising approach for lymph node metastasis in RCCs, which may contribute to improving clinical node staging and guiding clinical decision making.
Authors
- Haiyi Wang (ORCID: https://orcid.org/0000-0002-0717-1748)
- Xu Bai (ORCID: https://orcid.org/0000-0001-8755-4257)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/2898
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00