Artificial intelligence helps to better assess treatment response of brain tumors

A team from Heidelberg University Hospital and the German Cancer Research Centre has developed a new method for the automated image analysis of brain tumors. In their recent publication, the authors show that machine learning methods carefully trained on standard magnetic resonance imaging (MRI) are more reliable and precise than established radiological methods in the treatment of brain tumors. Thus, they make a valuable contribution to the individualized treatment of tumors. In addition, the validated method is an important first step towards the automated high-throughput analysis of medical image data of brain tumors.

Gliomas are the most common and most malignant brain tumors in adults. In Germany, approximately 4,500 people are diagnosed with a glioma every year. The tumors often cannot be completely removed by surgery. Chemotherapy or radiotherapy are only effective to a limited extent because the tumors are highly resistant. New and precisely validated treatment approaches are therefore urgently needed.

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