Title :
A new approach for estimating probability of metastasis at diagnosis
Author :
Shuhao Sun;Fima Klebaner;Tianhai Tian
Author_Institution :
School of Mathematical Science, Monash University, Melbourne 3800, Australia
Abstract :
Metastasis is responsible for 90% of cancer deaths from solid tumors. Although it is well known that metastasis is the result of a series of biological hurdles, it is still a challenge to calculate the probability of metastasis at diagnosis. Recently a new method has been developed based on metastasis formation to investigate the progression of pancreatic cancer. However, the exact solution of this model was difficult to find and hence there is an issue regarding the prediction accuracy of this model. To remedy it, we present in this work an alternative formula which can be easily solved by employing a simple programming and our value is consistent with those predicted by the published model.
Keywords :
"Mathematical model","Metastasis","Probability","Stochastic processes","Data models","Diseases"
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
DOI :
10.1109/BIBM.2015.7359762