Evidence map›Paper›PMID 29855128›Full record

ArticleJournal of applied clinical medical physics2018

HDR brachytherapy in vivo source position verification using a 2D diode array: A Monte Carlo study.

Joel Poder, Dean Cutajar, Susanna Guatelli, Marco Petasecca, Andrew Howie, Joseph Bucci, Anatoly Rosenfeld

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Joel PoderCentre of Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia.
Dean CutajarCentre of Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia.
Susanna GuatelliCentre of Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia.
Marco PetaseccaCentre of Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia.
Andrew HowieSt George Hospital Cancer Care Centre, Kogarah, NSW, Australia.
Joseph BucciSt George Hospital Cancer Care Centre, Kogarah, NSW, Australia.
Anatoly RosenfeldCentre of Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to assess the accuracy of source position verification during high-dose rate (HDR) prostate brachytherapy using a novel, in-house developed two-dimensional (2D) diode array (the Magic Plate), embedded exactly below the patient within a carbon fiber couch. The effect of tissue inhomogeneities on source localization accuracy is examined.

methodMonte Carlo (MC) simulations of 12 source positions from a HDR prostate brachytherapy treatment were performed using the Geant4 toolkit. An Ir-192 Flexisource (Isodose Control, Veenendaal, the Netherlands) was simulated inside a voxelized patient geometry, and the dose deposited in each detector of the Magic Plate evaluated. The dose deposited in each detector was then used to localize the source position using a proprietary reconstruction algorithm.

resultsThe accuracy of source position verification using the Magic Plate embedded in the patient couch was found to be affected by the tissue inhomogeneities within the patient, with an average difference of 2.1 ± 0.8 mm (k = 1) between the Magic Plate predicted and known source positions. Recalculation of the simulations with all voxels assigned a density of water improved this verification accuracy to within 1 mm.

conclusionSource position verification using the Magic Plate during a HDR prostate brachytherapy treatment was examined using MC simulations. In a homogenous geometry (water), the Magic Plate was able to localize the source to within 1 mm, however, the verification accuracy was negatively affected by inhomogeneities; this can be corrected for by using density information obtained from CT, making the proposed tool attractive for use as a real-time in vivo quality assurance (QA) device in HDR brachytherapy for prostate cancer.

Indexed as

BrachytherapyHumansIridium RadioisotopesMaleMonte Carlo MethodPhantoms, ImagingProstatic NeoplasmsRadiotherapy DosageIridium Radioisotopesbrachytherapydiodein vivoMagic Platesource tracking

Identifiers

PMID29855128
PMCPMC6036394

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.