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Eivind Rørvik

Researcher at University of Bergen

Publications -  12
Citations -  199

Eivind Rørvik is an academic researcher from University of Bergen. The author has contributed to research in topics: Relative biological effectiveness & Regression analysis. The author has an hindex of 6, co-authored 12 publications receiving 136 citations. Previous affiliations of Eivind Rørvik include Oslo University Hospital.

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Journal ArticleDOI

Exploration and application of phenomenological RBE models for proton therapy

TL;DR: There were considerable variations between the estimations of RBE and RBE-weighted doses from the different models and these variations were a consequence of fundamental differences in experimental databases, model assumptions and regression techniques.
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A phenomenological biological dose model for proton therapy based on linear energy transfer spectra.

TL;DR: Analysis indicated that non‐linear models could give a better representation of the RBE‐LET relationship, as differences between the models were observed for the SOBP scenario, and both non‐ linear LET spectrum‐ and linear LETd based models should be further evaluated in clinically realistic scenarios.
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Monte Carlo simulations of a low energy proton beamline for radiobiological experiments

TL;DR: MC simulations accurately modeled the dose distribution from the proton beam and could be used to estimate the LET at any position in the setup, which can beused to study the RBE for protons at high LETd, which is not achievable in clinical proton therapy facilities.
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Modelling of organ-specific radiation-induced secondary cancer risks following particle therapy.

TL;DR: Based on the wide spread in RR between patients and variations across the included parameter values, the risk profiles of the rectum and bladder were not dramatically different for the investigated radiotherapy techniques.
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The FLUKA Monte Carlo code coupled with an OER model for biologically weighted dose calculations in proton therapy of hypoxic tumors.

TL;DR: A Monte Carlo based tool for inclusion of both OER and relative biological effectiveness (RBE) in biologically weighted dose (ROWD) calculations in proton therapy and applied this to explore the impact of hypoxia to create a tool that may be useful in future clinical applications of Hypoxia-guided particle therapy.