Mathematical model allows standardised classification of the aggressiveness of tumours

Objective assessment of irregularities in a tumor's shape provides a means to evaluate its aggressiveness more effectively prior to an operation. This was the key finding made by ateam of physicians from Karl Landsteiner University of Health Sciences in Krems whose research focused on meningiomas, a form of tumor that affects the meningeal tissue in the brain. In a study published in the latest issue of the Journal of Neurosurgery, the research team demonstrated the high predictive value of the model they developed and named the surface factor. The model represents an objective and comparable parameter for the quantification of irregularities in tumor shape. Based on data from more than 125 patients, the study found a statistically significant correlation between a low surface factor (i.e. an irregular tumor surface) and a higher level of aggressiveness in the tumor.

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