Evidence map›Paper›PMID 26459756›Full record

ArticlePhysics in medicine and biology2015

A phenomenological relative biological effectiveness (RBE) model for proton therapy based on all published in vitro cell survival data.

Aimee L McNamara, Jan Schuemann, Harald Paganetti

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 1 pooled it
18.9field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 1 synthesis or guideline pooled it, 326 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Dynamic Proton arc therapy for paediatric parameningeal rhabdomyosarcoma.Journal of applied clinical medical physics · 2026
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  18. Distinct molecular responses of human intestinal organoids to proton and photon radiation.American journal of physiology. Gastrointestinal and liver physiology · 2025
    Article
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83 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Aimee L McNamaraDepartment of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, 30 Fruit Street, Boston, MA 02114, USA.
Jan SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, 30 Fruit Street, Boston, MA 02114, USA.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, 30 Fruit Street, Boston, MA 02114, USA.
Harvard University · USMassachusetts General Hospital · US

Funding

MDACC Clinical and Research Physics SupportU19CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SHIH, HELEN A · 2014 to 2018
$11.2M
TOPAS: Fast and easy to use Monte Carlo system for proton therapyR01CA140735 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PAGANETTI, HARALD · 2009 to 2015
$3.2M
NCI NIH HHS R01 CA-140735NCI NIH HHS R01 CA140735NCI NIH HHS U19 CA021239NCI NIH HHS U19 CA-21239
6 · The paper itself

Abstract

Proton therapy treatments are currently planned and delivered using the assumption that the proton relative biological effectiveness (RBE) relative to photons is 1.1. This assumption ignores strong experimental evidence that suggests the RBE varies along the treatment field, i.e. with linear energy transfer (LET) and with tissue type. A recent review study collected over 70 experimental reports on proton RBE, providing a comprehensive dataset for predicting RBE for cell survival. Using this dataset we developed a model to predict proton RBE based on dose, dose average LET (LETd) and the ratio of the linear-quadratic model parameters for the reference radiation (α/β)x, as the tissue specific parameter. The proposed RBE model is based on the linear quadratic model and was derived from a nonlinear regression fit to 287 experimental data points. The proposed model predicts that the RBE increases with increasing LETd and decreases with increasing (α/β)x. This agrees with previous theoretical predictions on the relationship between RBE, LETd and (α/β)x. The model additionally predicts a decrease in RBE with increasing dose and shows a relationship between both α and β with LETd. Our proposed phenomenological RBE model is derived using the most comprehensive collection of proton RBE experimental data to date. Previously published phenomenological models, based on a limited data set, may have to be revised.

Indexed as

Models, TheoreticalCell LineCell SurvivalHumansLinear Energy TransferProton TherapyRelative Biological Effectiveness

Identifiers

PMID26459756
PMCPMC4634882
OpenAlexW2287874371

What OpenQuestion holds

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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.