Tumour volume distribution can yield information on tumour growth and tumour control.
Z Med Phys
; 32(2): 143-148, 2022 May.
Article
em En
| MEDLINE
| ID: mdl-34119384
ABSTRACT
BACKGROUND:
It is shown that tumour volume distributions can yield information on two aspects of cancer research tumour induction and tumour control. MATERIALS ANDMETHODS:
From the hypothesis that the intrinsic distribution of breast cancer volumes follows an exponential distribution, firstly the probability density function of tumour growth time was deduced via a mathematical transformation of the probability density functions of tumour volumes. In a second step, the distribution of tumour volumes was used to model the variation of the clonogenic cell number between patients in order to determine tumour control probabilities for radiotherapy patients.RESULTS:
Distribution of lag times, i.e. the time from the appearance of the first fully malignant cell until a clinically observable cancer, can be used to deduce the probability of tumour induction as a function of patient age. The integration of the volume variation with a Poisson-TCP model results in a logistic function which explains population-averaged survival data of radiotherapy patients.CONCLUSIONS:
The inclusion of tumour volume distributions into the TCP formalism enables a direct link to be deduced between a cohort TCP model (logistic) and a TCP model for individual patients (Poisson). The TCP model can be applied to non-uniform tumour dose distributions.Palavras-chave
Texto completo:
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Coleções:
01-internacional
Temas:
Geral
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Tipos_de_cancer
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Outros_tipos
Base de dados:
MEDLINE
Assunto principal:
Neoplasias
Limite:
Humans
Idioma:
En
Revista:
Z Med Phys
Assunto da revista:
RADIOTERAPIA
Ano de publicação:
2022
Tipo de documento:
Article