Evidence map›Paper›PMID 42473322›Full record

ArticleJournal of applied clinical medical physics2026

Probabilistic quality assurance of biopsy DVH thresholds in HDR prostate brachytherapy under localization uncertainty.

Matthew Muscat, Juanita Crook, Andrew Jirasek, Jeffrey Andrews, Nathan Becker

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

5 authors.

Matthew MuscatDepartment of Computer Science, Mathematics, Physics and Statistics, University of British Columbia Okanagan, Kelowna, British Columbia, Canada.ORCID https://orcid.org/0009-0000-8285-6512
Juanita CrookBC Cancer, Sindi Ahluwalia Hawkins Centre, Kelowna, British Columbia, Canada.
Andrew JirasekDepartment of Computer Science, Mathematics, Physics and Statistics, University of British Columbia Okanagan, Kelowna, British Columbia, Canada.
Jeffrey AndrewsDepartment of Computer Science, Mathematics, Physics and Statistics, University of British Columbia Okanagan, Kelowna, British Columbia, Canada.
Nathan BeckerDepartment of Computer Science, Mathematics, Physics and Statistics, University of British Columbia Okanagan, Kelowna, British Columbia, Canada.

Funding

BC Cancer FoundationUniversity of British ColumbiaWalter C. Sumner Fellowship
6 · The paper itself

Abstract

backgroundMR-US guided biopsies support biologic correlation in HDR prostate brachytherapy, but steep dose gradients and millimeter-scale localization uncertainty limit the validity of nominal biopsy doses. PURPOSE: To assess how localization uncertainty affects the robustness of biopsy DVH dose thresholds in HDR prostate brachytherapy and to quantify the nominal dose margins corresponding to 95% pass probabilities.

methodsTwenty-seven biopsies from 15 HDR monotherapy patients were reconstructed as sets of

resultsThe pooled voxel-dose and dose-gradient distributions were broad, positively skewed, and consistent with log-normal models. Nominal voxel-level doses tended to be higher than localization-perturbed samples, with mean absolute per-trial

conclusionsLocalization uncertainty causes nominal biopsy DVH metrics to systematically overestimate Monte Carlo-propagated doses. The reported 95% margins should be interpreted as biopsy-scale robustness buffers under the stated uncertainty model, not as clinically prescriptive focal-boost increments. Dose decorrelated over distances of order

Indexed as

BrachytherapyProstatic NeoplasmsQuality Assurance, Health CareRadiotherapy Planning, Computer-AssistedHumansMaleMonte Carlo MethodOrgans at RiskProbabilityRadiotherapy DosageRadiotherapy, Intensity-ModulatedUncertaintybiopsy dosimetrydose volume histogramHDR prostate brachytherapylocalization uncertaintyMonte Carlo simulationprostate cancerquality assurance

Identifiers

PMID42473322
PMCPMC13382385

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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.