Prediction of Cancer Aggressiveness from the Tissue Morphology of the Tumor: Application in the Study of Cervix Epidermoid Carcinoma

Abstract

Cancer cells diagnose is essentially made from the hystopathological image of the cell pattern and based on this, studies have been made to characterize this morphology using its fractal dimension and its relation with the prognosis. The results show that in a same location the fractal dimension of neoplasic tissues is greater than that of healthy tissues. A mathematical model was developed from these results to predict the cancer’s growth using its fractal dimension. The model was used to relate the aggressiveness of cervical cancer with the age of the patients showing that the growth rate decreases with the age, similarly to what was obtained from clinical studies.