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Stochastic growth pattern of untreated human glioblastomas predicts the survival time for patients

Abstract:

Glioblastomas are highly malignant brain tumors. Knowledge of growth rates and growth patterns is useful for understanding tumor biology and planning treatment logistics. Based on untreated human glioblastoma data collected in Trondheim, Norway, we first fit the average growth to a Gompertz curve, then find a best fitted white noise term for the growth rate variance. Combining these two fits, we obtain a new type of Gompertz diffusion dynamics, which is a stochastic differential equation (SDE...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1038/s41598-020-63394-w

Authors


Publisher:
Springer Nature
Journal:
Scientific Reports More from this journal
Volume:
10
Article number:
6642
Publication date:
2020-04-20
Acceptance date:
2020-03-30
DOI:
EISSN:
2045-2322
ISSN:
2045-2322
Language:
English
Keywords:
Pubs id:
1097569
Local pid:
pubs:1097569
Deposit date:
2020-03-30

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