Prediction of Obliteration of Arteriovenous Malformations after Radiosurgery: the Obliteration Prediction Index
| Autor: | Katharina E. Sixel, Andras A. Kemeny, Lee Walton, D. M. C. Forster, Charlene Young, Michael L. Schwartz, Edmee Franssen |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Intracranial Arteriovenous Malformations
business.industry medicine.medical_treatment Radiation dose Arteriovenous malformation General Medicine Prognosis Radiation Dosage Radiosurgery Biological effect medicine.disease Predictive factor Probability of success Treatment Outcome Neurology Regional cancer Humans Medicine Neurology (clinical) Congenital disease Nuclear medicine business Follow-Up Studies |
| Zdroj: | Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 24:106-109 |
| ISSN: | 2057-0155 0317-1671 |
| DOI: | 10.1017/s0317167100021417 |
| Popis: | Objective:To describe the response to single dose photon stereotactic radiosurgery of arteriovenous malformations (AVMs) so that the probability of success or failure of treatment may be predicted for the individual patient.Method:The obliteration prediction index (OPI) was calculated for AVMs by dividing the marginal dose of radiation in Gray (Gy) by the lesion diameter in centimetres in cohorts of 42 patients treated with the modified linear accelerator at Toronto-Sunnybrook Regional Cancer Centre and 394 patients treated with the gamma unit at the Royal Hallamshire Hospital, Sheffield, United Kingdom. Patients were grouped into ranges by OPI and the proportion of success and failure was calculated for each group. An exponential function [P = 1-A•e(-B-OPI)] was fitted to the data by the least squares method.Results:Despite systematic differences in radiation treatment, that is, marginal doses of 15 and 20 Gy in Toronto and most Sheffield patients with a marginal dose of 25 Gy, the resultant data points exhibited similar behaviour.Conclusion:The function [P = 1-A•e(-B-OPI)] partly describes the biological effect of radiation and is independent of the radiation device used. Radiosurgery centres can use this model to facilitate predictions of successful treatment for individual patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|