Evidence map›Paper›PMID 35163240›Full record

ReviewInternational journal of molecular sciences2022

A Century of Fractionated Radiotherapy: How Mathematical Oncology Can Break the Rules.

Nima Ghaderi, Joseph Jung, Sarah C Brüningk, Ajay Subramanian, Lauren Nassour, Jeffrey Peacock

Abstract readHistorical ArticleReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  10. From conventional to cutting edge: an exploration of osteosarcoma treatments.Medical oncology (Northwood, London, England) · 2025
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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.

Nima GhaderiDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
Joseph JungDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
Sarah C BrüningkMachine Learning & Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.ORCID 0000-0003-3176-1032
Ajay SubramanianDepartment of Radiation Oncology, Stanford University, Stanford, CA 94305, USA.
Lauren NassourDepartment of Radiation Oncology, University of Alabama Birmingham, Birmingham, AL 35205, USA.
Jeffrey PeacockDepartment of Radiation Oncology, University of Alabama Birmingham, Birmingham, AL 35205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy is involved in 50% of all cancer treatments and 40% of cancer cures. Most of these treatments are delivered in fractions of equal doses of radiation (Fractional Equivalent Dosing (FED)) in days to weeks. This treatment paradigm has remained unchanged in the past century and does not account for the development of radioresistance during treatment. Even if under-optimized, deviating from a century of successful therapy delivered in FED can be difficult. One way of exploring the infinite space of fraction size and scheduling to identify optimal fractionation schedules is through mathematical oncology simulations that allow for in silico evaluation. This review article explores the evidence that current fractionation promotes the development of radioresistance, summarizes mathematical solutions to account for radioresistance, both in the curative and non-curative setting, and reviews current clinical data investigating non-FED fractionated radiotherapy.

Indexed as

Dose Fractionation, RadiationHistory, 20th CenturyHistory, 21st CenturyHumansMedical OncologyModels, TheoreticalNeoplasmsRadiation OncologyRadiotherapyaltered fractionationevolutionfractionated radiotherapyintratumor heterogeneitymathematical oncologyradioresistance

Identifiers

PMID35163240
PMCPMC8836217

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.