Evidence map›Paper›PMID 36518319›Full record

ArticleFrontiers in oncology2022

A phenomenological model of proton FLASH oxygen depletion effects depending on tissue vasculature and oxygen supply.

Wei Zou, Haram Kim, Eric S Diffenderfer, David J Carlson, Cameron J Koch, Ying Xiao, BoonKeng K Teo, Michele M Kim, James M Metz, Yi Fan and 6 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

16 authors.

Wei ZouDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Haram KimDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Eric S DiffenderferDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
David J CarlsonDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Cameron J KochDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Ying XiaoDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
BoonKeng K TeoDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Michele M KimDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
James M MetzDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Yi FanDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Amit MaityDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Costas KoumenisDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Theresa M BuschDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Rodney WiersmaDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Keith A CengelDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Lei DongDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

Funding

Translational Studies in FLASH Particle RadiotherapyP01CA257904 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Mary E. Putt · 2022 to 2026
$14.2M
NCI NIH HHS P01 CA257904
6 · The paper itself

Abstract

Introduction: Radiation-induced oxygen depletion in tissue is assumed as a contributor to the FLASH sparing effects. In this study, we simulated the heterogeneous oxygen depletion in the tissue surrounding the vessels and calculated the proton FLASH effective-dose-modifying factor (FEDMF), which could be used for biology-based treatment planning. Methods: The dose and dose-weighted linear energy transfer (LET) of a small animal proton irradiator was simulated with Monte Carlo simulation. We deployed a parabolic partial differential equation to account for the generalized radiation oxygen depletion, tissue oxygen diffusion, and metabolic processes to investigate oxygen distribution in 1D, 2D, and 3D solution space. Dose and dose rates, particle LET, vasculature spacing, and blood oxygen supplies were considered. Using a similar framework for the hypoxic reduction factor (HRF) developed previously, the FEDMF was derived as the ratio of the cumulative normoxic-equivalent dose (CNED) between CONV and UHDR deliveries. Results: Dynamic equilibrium between oxygen diffusion and tissue metabolism can result in tissue hypoxia. The hypoxic region displayed enhanced radio-resistance and resulted in lower CNED under UHDR deliveries. In 1D solution, comparing 15 Gy proton dose delivered at CONV 0.5 and UHDR 125 Gy/s, 61.5% of the tissue exhibited ≥20% FEDMF at 175 μm vasculature spacing and 18.9 μM boundary condition. This percentage reduced to 34.5% and 0% for 8 and 2 Gy deliveries, respectively. Similar trends were observed in the 3D solution space. The FLASH versus CONV differential effect remained at larger vasculature spacings. A higher FLASH dose rate showed an increased region with ≥20% FEDMF. A higher LET near the proton Bragg peak region did not appear to alter the FLASH effect. Conclusion: We developed 1D, 2D, and 3D oxygen depletion simulation process to obtain the dynamic HRF and derive the proton FEDMF related to the dose delivery parameters and the local tissue vasculature information. The phenomenological model can be used to simulate or predict FLASH effects based on tissue vasculature and oxygen concentration data obtained from other experiments.

Indexed as

FLASH effecthypoxic reduction factoroxygen depletionprotonvasculature

Identifiers

PMID36518319
PMCPMC9742361

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