Evidence map›Paper›PMID 31738081›Full record

ReviewThe British journal of radiology2020

Modelling variable proton relative biological effectiveness for treatment planning.

Aimee McNamara, Henning Willers, Harald Paganetti

Open access · bronzeAbstract readReview
In one paragraph

Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 68 citations in OpenAlex.

  1. Perspectives on the model-based approach to proton therapy trials: A retrospective study of a lung cancer randomized trial.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020
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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

3 authors at 1 institution in 1 country.

Aimee McNamaraDepartment of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8792-0464
Henning Willers
Harald Paganetti
Harvard University · US

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

Dose in proton radiotherapy is generally prescribed by scaling the physical proton dose by a constant value of 1.1. Relative biological effectiveness (RBE) is defined as the ratio of doses required by two radiation modalities to cause the same level of biological effect. The adoption of an RBE of 1.1. assumes that the biological efficacy of protons is similar to photons, allowing decades of clinical dose prescriptions from photon treatments and protocols to be utilized in proton therapy. There is, however, emerging experimental evidence that indicates that proton RBE varies based on technical, tissue and patient factors. The notion that a single scaling factor may be used to equate the effects of photons and protons across all biological endpoints and doses is too simplistic and raises concern for treatment planning decisions. Here, we review the models that have been developed to better predict RBE variations in tissue based on experimental data as well as using a mechanistic approach.

Indexed as

Models, TheoreticalRadiation InjuriesRelative Biological EffectivenessAlgorithmsAnimalsCell Line, TumorDNADNA RepairHumansModels, BiologicalMonte Carlo MethodNeoplasmsOrgans at RiskPhotonsProton TherapyRadiotherapy Planning, Computer-AssistedDNA

Identifiers

PMID31738081
PMCPMC7066955
OpenAlexW2985440729

What OpenQuestion holds

Textmetadata
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.