Evidence map›Paper›PMID 41318358›Full record

ArticleMedical physics2025

An absorbed dose-based source strength determination for diffusing alpha-emitters radiation therapy (DaRT) brachytherapy seeds - Proof of concept.

Sean P Jollota, Jeffrey L Radtke, Larry A DeWerd, Ahtesham Ullah Khan

Abstract read
In one paragraph

Article in Medical physics, 2025. 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

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Sean P JollotaDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jeffrey L RadtkeDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Larry A DeWerdDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ahtesham Ullah KhanDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffusing alpha-emitter radiation therapy (DaRT) is currently being evaluated in several clinical trials as an interstitial temporary brachytherapy source. However, determining source strength solely based on gamma spectrometry measurements of PURPOSE: There were two aim of this work. The first aim was to investigate the impact of

methodsA MC model of the DaRT seed was constructed with varying

resultsThe progeny desorption was found to be highly sensitive to the distribution depth parameter with a sharp reduction in desorption probabilities with increasing distribution depth. The cumulative absorbed dose to tumor was found to vary drastically with the desorption probabilities with dose differences of up to 80%. Despite large dose differences, the 10-Gy prescription isodose line was found to be within 1 mm of each other indicating a spatial shift due to differences in desorption. The absorbed dose standard was found to have a signal > 7 pA with high sensitivity to the changes in the desorption probabilities. The MC-calculated correction factors were found to be < 3% with negligible dependence on the changes in desorption.

conclusionsThis work investigated and reported a large dependence of absorbed dose to water on desorption of

Indexed as

Alpha ParticlesBrachytherapyRadiation DosageDiffusionHumansMonte Carlo MethodProof of Concept StudyRadiotherapy Dosageabsorbed dosealpha‐emitting radionuclidesbrachytherapydosimetryion chamberMonte Carlo

Identifiers

PMID41318358
PMCPMC12664877

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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.