Evidence map›Paper›PMID 42613864›Full record

ArticleMedical physics2026

Robust optimization of catheter positions and dwell times for HDR prostate brachytherapy.

Joseph B Schulz, Bryan P Bednarz, John M Floberg, Jordan M Slagowski

Abstract read
In one paragraph

Article in 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.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Joseph B SchulzDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Bryan P BednarzDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
John M FlobergDepartment of Radiation Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jordan M SlagowskiDepartment of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

University of Wisconsin Prostate SPOREP50CA269011 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI DAVID F. JARRARD, DOUGLAS G. MCNEEL · 2023 to 2026
$10.6M
NCI NIH HHS P50 CA269011NCI NIH HHS P50CA269011
6 · The paper itself

Abstract

backgroundHDR prostate brachytherapy plans are sensitive to catheter placement uncertainty, as discrepancies between planned and delivered catheter positions can degrade target coverage and increase organ at risk dose. Current inverse planning methods optimize dwell times for a fixed implant geometry and do not account for geometric uncertainty during planning. Existing robust optimization approaches for HDR brachytherapy are similarly limited to dwell time optimization, and no framework has jointly optimized catheter configurations and dwell times while explicitly incorporating catheter insertion uncertainty. PURPOSE: To develop an analytical inverse planning method for prostate HDR brachytherapy that improves robustness to catheter placement uncertainty while maintaining nominal target coverage and organ at risk constraints.

methodsOverall, 32 previously treated prostate HDR cases were retrospectively analyzed. Dose was modeled with a TG-43U1 influence matrix. A candidate catheter set was generated by adding four translated trajectories per clinical catheter at

resultsOverall, the combined approach was comparable or an improvement to clinical positions alone. At

conclusionCoupling gMCP based catheter selection with an organ surface dose gradient penalty improved robustness of prostate HDR brachytherapy plans to independent catheter placement uncertainty, with comparable nominal plan quality after normalization.

Indexed as

BrachytherapyCathetersProstatic NeoplasmsHumansMaleRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTime Factorsbrachytherapycatheter placementinverse planningrobust optimization

Identifiers

PMID42613864
PMCPMC13487368

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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.