Evidence map›Paper›PMID 28827691›Full record

ArticleScientific reports2017

A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data.

Ramin Abolfath, Christopher R Peeler, Mark Newpower, Lawrence Bronk, David Grosshans, Radhe Mohan

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Using the Proton Energy Spectrum and Microdosimetry to Model Proton Relative Biological Effectiveness.International journal of radiation oncology, biology, physics · 2019
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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

6 authors.

Ramin AbolfathDepartments of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. ramin1.abolfath@gmail.com.
Christopher R PeelerDepartments of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Mark NewpowerDepartments of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.ORCID 0000-0003-1156-0452
Lawrence BronkRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
David GrosshansRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Radhe MohanDepartments of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. rmohan@mdanderson.org.

Funding

MDACC Clinical and Research Physics SupportU19CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI MOHAN, RADHE · 2014 to 2018
$11.2M
NCI NIH HHS U19 CA021239
6 · The paper itself

Abstract

We introduce an approach for global fitting of the recently published high-throughput and high accuracy clonogenic cell-survival data for therapeutic scanned proton beams. Our fitting procedure accounts for the correlation between the cell-survival, the absorbed (physical) dose and the proton linear energy transfer (LET). The fitting polynomials and constraints have been constructed upon generalization of the microdosimetric kinetic model (gMKM) adapted to account for the low energy and high lineal-energy spectrum of the beam where the current radiobiological models may underestimate the reported relative biological effectiveness (RBE). The parameters (α, β) of the linear-quadratic (LQ) model calculated by the presented method reveal a smooth transition from low to high LETs which is an advantage of the current method over methods previously employed to fit the same clonogenic data. Finally, the presented approach provides insight into underlying microscopic mechanisms which, with future study, may help to elucidate radiobiological responses along the Bragg curve and resolve discrepancies between experimental data and current RBE models.

Indexed as

AlgorithmsLinear ModelsModels, BiologicalProton TherapyRelative Biological EffectivenessCell SurvivalHumansLinear Energy TransferNeoplasms

Identifiers

PMID28827691
PMCPMC5567137

What OpenQuestion holds

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LicenceCC BY
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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.