Evidence map›Paper›PMID 39644507›Full record

ArticleJournal of applied clinical medical physics2025

The LET enhancement of energy-specific collimation in pencil beam scanning proton therapy.

Blake R Smith, Daniel E Hyer

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
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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

2 authors.

Blake R SmithDepartment of Radiation Oncology, University of Iowa, Iowa City, Iowa, USA.
Daniel E HyerDepartment of Radiation Oncology, University of Iowa, Iowa City, Iowa, USA.

Funding

Sharpening the edge in pencil-beam proton therapy: an aftermarket collimation system to better spare normal tissue during radiation treatmentR37CA226518 · NCI · UNIVERSITY OF IOWA · PI HYER, DANIEL ELLIS · 2018 to 2024
$3.1M
NCI NIH HHS R37 CA226518
6 · The paper itself

Abstract

purposeTo computationally characterize the LET distribution during dynamic collimation in PBS and quantify its impact on the resultant dose distribution.

methodsMonte Carlo simulations using Geant4 were used to model the production of low-energy proton scatter produced in the collimating components of a novel PBS collimator. Custom spectral tallies were created to quantify the energy, track- and dose-averaged LET resulting from individual beamlet and composite fields simulated from a model of the IBA dedicated nozzle system. The composite dose distributions were optimized to achieve a uniform physical dose coverage of a cubical and pyramidal target, and the resulting dose-average LET distributions were calculated for uncollimated and collimated PBS deliveries and used to generate RBE-weighted dose distributions.

resultsFor collimated beamlets, the scattered proton energy fluence is strongly dependent on collimator position relative to the central axis of the beamlet. When delivering a uniform profile, the distribution of dose-average LET was nearly identical within the target and increased between 1 and

conclusionThe presence of energy-specific collimation in PBS can lead to dose-average LET changes relative to an uncollimated delivery. In some clinical situations, the placement and application of energy-specific collimation may require additional planning considerations based on its reduction to the lateral penumbra and increase in high-dose conformity. Future applications may embody these unique dosimetric characteristics to redirect high-LET portions of a collimated proton beamlet from healthy tissues while enhancing the dose-average LET distribution within target.

Indexed as

Linear Energy TransferMonte Carlo MethodProton TherapyRadiotherapy DosageRadiotherapy Planning, Computer-AssistedComputer SimulationHumansNeoplasmsPhantoms, ImagingScattering, RadiationcollimationLETPBSprotonsRBE

Identifiers

PMID39644507
PMCPMC11712952

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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.