Evidence map›Paper›PMID 35120278›Full record

ArticleMedical physics2022

The dosimetric enhancement of GRID profiles using an external collimator in pencil beam scanning proton therapy.

Blake R Smith, Nicholas P Nelson, Theodore J Geoghegan, Kaustubh A Patwardhan, Patrick M Hill, Jen Yu, Alonso N Gutiérrez, Bryan G Allen, Daniel E Hyer

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2022. 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
0.5field-weighted citation impact, top 38% of its field
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, 3 citations in OpenAlex.

  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

9 authors at 5 institutions in 1 country.

Blake R SmithDepartment of Radiation Oncology, University of Iowa, Iowa City, IA 52242, USA.
Nicholas P NelsonDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Theodore J GeogheganDepartment of Radiation Oncology, University of Iowa, Iowa City, IA 52242, USA.
Kaustubh A PatwardhanDepartment of Radiation Oncology, University of Iowa, Iowa City, IA 52242, USA.
Patrick M HillDepartment of Human Oncology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53792, USA.
Jen YuDepartment of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida, 33176, USA.
Alonso N GutiérrezDepartment of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida, 33176, USA.
Bryan G AllenDepartment of Radiation Oncology, University of Iowa, Iowa City, IA 52242, USA.
Daniel E HyerDepartment of Radiation Oncology, University of Iowa, Iowa City, IA 52242, USA.
University of Iowa · USBaptist Health South Florida · USBaptist Hospital of Miami · USUniversity of Wisconsin–Madison · USWisconsin Division of Public Health · US

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
Google Cloud Research Credits program GCP19980904National Cancer Institute of the National Institutes of Health R37CA226518National Science Foundation 2030508NCI NIH HHS R37 CA226518U.S. Department of Energy's Office of ScienceUW-Madison Advanced Computing InitiativeWisconsin Alumni Research FoundationWisconsin Institutes for Discovery
6 · The paper itself

Abstract

purposeThe radiobiological benefits afforded by spatially fractionated (GRID) radiation therapy pairs well with the dosimetric advantages of proton therapy. Inspired by the emergence of energy-layer specific collimators in pencil beam scanning (PBS), this work investigates how the spot spacing and collimation can be optimized to maximize the therapeutic gains of a GRID treatment while demonstrating the integration of a dynamic collimation system (DCS) within a commercial beamline to deliver GRID treatments and experimentally benchmark Monte Carlo calculation methods.

methodsGRID profiles were experimentally benchmarked using a clinical DCS prototype that was mounted to the nozzle of the IBA-dedicated nozzle system. Integral depth dose (IDD) curves and lateral profiles were measured for uncollimated and GRID-collimated beamlets. A library of collimated GRID dose distributions were simulated by placing beamlets within a specified uniform grid and weighting the beamlets to achieve a volume-averaged tumor cell survival equivalent to an open field delivery. The healthy tissue sparing afforded by the GRID distribution was then estimated across a range of spot spacings and collimation widths, which were later optimized based on the radiosensitivity of the tumor cell line and the nominal spot size of the PBS system. This was accomplished by using validated models of the IBA universal and dedicated nozzles.

resultsExcellent agreement was observed between the measured and simulated profiles. The IDDs matched above 98.7% when analyzed using a 1%/1-mm gamma criterion with some minor deviation observed near the Bragg peak for higher beamlet energies. Lateral profile distributions predicted using Monte Carlo methods agreed well with the measured profiles; a gamma passing rate of 95% or higher was observed for all in-depth profiles examined using a 3%/2-mm criteria. Additional collimation was shown to improve PBS GRID treatments by sharpening the lateral penumbra of the beamlets but creates a trade-off between enhancing the valley-to-peak ratio of the GRID delivery and the dose-volume effect. The optimal collimation width and spot spacing changed as a function of the tumor cell radiosensitivity, dose, and spot size. In general, a spot spacing below 2.0 cm with a collimation less than 1.0 cm provided a superior dose distribution among the specific cases studied.

conclusionsThe ability to customize a GRID dose distribution using different collimation sizes and spot spacings is a useful advantage, especially to maximize the overall therapeutic benefit. In this regard, the capabilities of the DCS, and perhaps alternative dynamic collimators, can be used to enhance GRID treatments. Physical dose models calculated using Monte Carlo methods were experimentally benchmarked in water and were found to accurately predict the respective dose distributions of uncollimated and DCS-collimated GRID profiles.

Indexed as

Proton TherapyMonte Carlo MethodRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-Assisteddynamic collimation systemGRIDpencil beam scanning

Identifiers

PMID35120278
PMCPMC9007854
OpenAlexW4210414664

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.