Melanoma malignum
Clinical data: A 55-year-old female patient with melanoma malignum. Clinically, there was a palpable and suspicious
With LN-RADS innovative approach, we are transforming the way lymph nodes are diagnosed, ushering in a new era of precision and efficiency in healthcare. In comparison to Recist 1.1 we detect more over 20% of metastatic lymph nodes.
Lymph nodes are crucial in the diagnosis and treatment of cancer. The LNRADS system itself critically changes the quality of lymph node assessment and, thanks to the support of artificial intelligence, it achieves an even higher level of compliance of the assessment with histopathological results. AI solutions support both radiologists and oncologists in their daily work and it can be an effective tool for education in this area.
Clinical data: A 55-year-old female patient with melanoma malignum. Clinically, there was a palpable and suspicious
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Small nodes big problem. LN-RADS Classification. Structure Reporting for Lymph Nodes.
There is a real need for the creation and implementation of a simple tool for better communication between radiologists, clinicians and pathologists concerning lymph node (LN) assessment; particularly giving a clear signal and describing risk of cancer involvement.The LN-RADS scoring system, universal for any diagnostic modality (e.g., US, CT, MRI), realizes the idea of simplifying it lymph node classification.