Radiobiological evaluation of combined gamma knife radiosurgery and hyperthermia for pediatric neuro-oncology
Journal article, 2021

Combining radiotherapy (RT) with hyperthermia (HT) has been proven effective in the treatment of a wide range of tumours, but the combination of externally delivered, focused heat and stereotactic radiosurgery has never been investigated. We explore the potential of such treatment enhancement via radiobiological modelling, specifically via the linear-quadratic (LQ) model adapted to thermoradiotherapy through modulating the radiosensitivity of temperature-dependent parame-ters. We extend this well-established model by incorporating oxygenation effects. To illustrate the methodology, we present a clinically relevant application in pediatric oncology, which is novel in two ways. First, it deals with medulloblastoma, the most common malignant brain tumour in children, a type of brain tumour not previously reported in the literature of thermoradiotherapy studies. Second, it makes use of the Gamma Knife for the radiotherapy part, thereby being the first of its kind in this context. Quantitative metrics like the biologically effective dose (BED) and the tumour control probability (TCP) are used to assess the efficacy of the combined plan.

Biological modelling

Medulloblastoma

Stereotactic radiotherapy

Hyperthermia

CNS tumors

LQ model

Author

Morteza Ghaderi Aram

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

Massimiliano Zanoli

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

Håkan Nordström

Elekta

Iuliana Toma-Dasu

Karolinska University Hospital

Stockholm University

K. Blomgren

Karolinska University Hospital

Karolinska Institutet

Hana Dobsicek Trefna

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Biomedical Electromagnetics

Cancers

2072-6694 (ISSN)

Vol. 13 13 3277

Subject Categories

Pharmaceutical Sciences

Probability Theory and Statistics

Radiology, Nuclear Medicine and Medical Imaging

DOI

10.3390/cancers13133277

PubMed

34208909

More information

Latest update

7/5/2021 1