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Radiobiological framework for the evaluation of stereotactic radiosurgery plans for invasive brain tumours
Stockholm University, Faculty of Science, Department of Physics. Karolinska Institutet, Sweden.
Linköping University, Sweden.ORCID iD: 0000-0001-8171-2541
Stockholm University, Faculty of Science, Department of Physics. Karolinska Institutet, Sweden.ORCID iD: 0000-0002-7101-240X
2013 (English)In: ISRN Oncology, ISSN 2090-5661, E-ISSN 2090-567X, Vol. 2013, 527251Article in journal (Refereed) Published
Abstract [en]

This study presents a radiobiological formalism for the evaluation of the treatment plans with respect to the probability of controlling tumours treated with SRS accounting for possible infiltrations of malignant cells beyond the margins of the delineated target.

Treatments plans devised for three anaplastic astrocytoma cases were assumed for this study representing cases with different difficulties for target coverage. Several scenarios were considered regarding the infiltration patterns. Tumour response was described in terms of tumour control probability (TCP) assuming a Poisson model taking into account the initial number of clonogenic cells and the cell survival.

The results showed the strong impact of the pattern of infiltration of tumour clonogens outside the delineated target on the outcome of the treatment. The treatment plan has to take into account the existence of the possible microscopic disease around the visible lesion otherwise the high gradients around the target effectively prevent the sterilisation of the microscopic spread leading to low probability of control, in spite of the high dose delivered to the target.

From this perspective, the proposed framework offers a further criterion for the evaluation of stereotactic radiosurgery plans taking into account the possible infiltration of tumour cells around the visible target.

Place, publisher, year, edition, pages
2013. Vol. 2013, 527251
Keyword [en]
Radiobiology, Stereotactic Radiosurgery, Target delineation, Astrocytoma
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:su:diva-97482DOI: 10.1155/2013/527251OAI: oai:DiVA.org:su-97482DiVA: diva2:678372
Available from: 2013-12-11 Created: 2013-12-11 Last updated: 2017-12-06Bibliographically approved

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