Cancer

Sinonasal cancer: AI facilitates breakthrough in diagnostics
Cancer, Sinonasal cancer

Sinonasal cancer: AI facilitates breakthrough in diagnostics

Researchers have developed a method for classifying difficult-to-diagnose nasal cavity tumors. Researchers at LMU and Charité hospital in Berlin have developed a method for classifying difficult-to-diagnose nasal cavity tumors. Although tumors in the nasal cavity and the paranasal sinus are confined to a small space, they encompass a very broad spectrum with many tumor types. As they often do not exhibit any specific pattern or appearance, they are difficult to diagnose. This applies especially to so-called sinonasal undifferentiated carcinomas (SNUCs). Now a team led by Dr. Philipp Jurmeister and Prof. Frederick Klauschen from the Institute of Pathology at LMU and Prof. David Capper from Charité University Hospital as well as the German Cancer Consortium (DKTK) ), partner sit...