Evaluating the effect of higher Monte Carlo statistical uncertainties on accumulated doses after daily adaptive fractionated radiotherapy in prostate cancer.

Publication Date: 2024 Oct


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Elsevier Science (Free)

PubMed Central (Free)

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Authors

Thyrza Z Jagt; Tomas M Janssen; Jan-Jakob Sonke

Abstract

OBJECTIVE

Monte Carlo (MC) based dose calculations are widely used in radiotherapy with a low statistical uncertainty, being accurate but slow. Increasing the uncertainty accelerates the calculation, but reduces quality. In online adaptive planning, however, dose is recalculated every treatment fraction, potentially decreasing the cumulative calculation error. This study aimed to evaluate the effect of higher MC statistical uncertainty in the context of daily online plan adaptation.


Source

Physics and imaging in radiation oncology


Pub Types(s)

Journal Article


Language

English


PubMed ID

39295957