Evidence map›Paper›PMID 30972758›Full record

ArticleMedical physics2019

An extended dose-volume model in high dose-rate brachytherapy - Using mean-tail-dose to reduce tumor underdosage.

Björn Morén, Torbjörn Larsson, Åsa Carlsson Tedgren

Abstract read
In one paragraph

Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Björn MorénDepartment of Mathematics, Linköping University, SE-58183, Linköping, Sweden.
Torbjörn LarssonDepartment of Mathematics, Linköping University, SE-58183, Linköping, Sweden.
Åsa Carlsson TedgrenRadiation Physics, Department of Medical and Health Sciences, Linköping University, SE-58183, Linköping, Sweden.

Funding

Swedish Cancer Foundation CAN 2015/618Swedish Research Council VR-NT 2015-04543
6 · The paper itself

Abstract

purposeHigh dose-rate brachytherapy is a method of radiotherapy for cancer treatment in which the radiation source is placed within the body. In addition to give a high enough dose to a tumor, it is also important to spare nearby healthy organs [organs at risk (OAR)]. Dose plans are commonly evaluated using the so-called dosimetric indices; for the tumor, the portion of the structure that receives a sufficiently high dose is calculated, while for OAR it is instead the portion of the structure that receives a sufficiently low dose that is of interest. Models that include dosimetric indices are referred to as dose-volume models (DVMs) and have received much interest recently. Such models do not take the dose to the coldest (least irradiated) volume of the tumor into account, which is a distinct weakness since research indicates that the treatment effect can be largely impaired by tumor underdosage even to small volumes. Therefore, our aim is to extend a DVM to also consider the dose to the coldest volume.

methodsAn improved DVM for dose planning is proposed. In addition to optimizing with respect to dosimetric indices, this model also takes mean dose to the coldest volume of the tumor into account.

resultsOur extended model has been evaluated against a standard DVM in ten prostate geometries. Our results show that the dose to the coldest volume could be increased, while also computing times for the dose planning were improved.

conclusionWhile the proposed model yields dose plans similar to other models in most aspects, it fulfils its purpose of increasing the dose to cold tumor volumes. An additional benefit is shorter solution times, and especially for clinically relevant times (of minutes) we show major improvements in tumour dosimetric indices.

Indexed as

BrachytherapyRadiation DosageModels, StatisticalNeoplasmsOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-Assistedcold volumesCVaRdose-volume modeldosimetric indexdwell time optimizationEUDmean-tail-doseTCP

Identifiers

PMID30972758
PMCPMC6852298

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