New digital method for breast cancer prognosis
Cancer researchers at the University of Calgary are investigating a new tool to use for the prognosis of breast cancer in patients. This new digital tool will help give patients a more accurate assessment of how abnormal and aggressive their cancer is and help doctors recommend the best treatment options.
Currently, a useful factor for deciding the best treatment strategy for early-stage breast cancer is tumour grade, a score assigned by a pathologist based on how abnormal cancer cells from a patient tissue sample look under the microscope. However, tumour grade is somewhat subjective and can vary between pathologists. Hence, there is a need for more objective methods to assess cancer tissue, which could improve risk assessment and therapeutic decisions.
Read the whole article at ecancer.org
Reference
- Tambasco, M., Eliasziw, M., Magliocco, A. M. (2010). Morphologic complexity of epithelial architecture for predicting invasive breast cancer survival Journal of Translational Medicine DOI: 10.1186/1479-5876-8-140
Keywords: fractal analysis, breast cancer
21. 4. 2011 ecancermedicalscience
