Does a local bystander effect necessitate a revision of TCP models that are based on observed clinical data?

Journal article

It is shown that in order to derive a general model for tumor control probability (TCP) the two assumptions that on the microscopic level (1) clonogens are non-interacting and (2) clonogen killings are uncorrelated events are not necessary. In fact, these two assumptions can be replaced with two weaker ones that only ask that (a) therapy fractions are independent and non-overlapping and (b) the probability of an event only depends on the number of incidents happening during a time interval an...

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Authors: Tomé, W; Fenwick, J; Bentzen, S

• Publication status: Published
• Journal: Acta oncologica (Stockholm, Sweden)
• Volume: 45
• Issue: 4
• Pages: 406-411
• Publication date: 2006-01-01
• DOI: 10.1080/02841860500468935
• EISSN: 1651-226X
• ISSN: 0284-186X
• Language: English
• Keywords: Models, Statistical; Models, Biological; Likelihood Functions; Humans; Probability; Bystander Effect; Neoplasms