Evidence map›Paper›PMID 33458267›Full record

ArticlePhysics and imaging in radiation oncology2019

Utilisation of Pareto navigation techniques to calibrate a fully automated radiotherapy treatment planning solution.

Philip A Wheeler, Michael Chu, Rosemary Holmes, Maeve Smyth, Rhydian Maggs, Emiliano Spezi, John Staffurth, David G Lewis, Anthony E Millin

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Philip A WheelerVelindre Cancer Centre, Medical Physics, Cardiff, United Kingdom.
Michael ChuVelindre Cancer Centre, Medical Physics, Cardiff, United Kingdom.
Rosemary HolmesVelindre Cancer Centre, Medical Physics, Cardiff, United Kingdom.
Maeve SmythVelindre Cancer Centre, Medical Physics, Cardiff, United Kingdom.
Rhydian MaggsVelindre Cancer Centre, Medical Physics, Cardiff, United Kingdom.
Emiliano SpeziCardiff University, School of Engineering, Cardiff, United Kingdom.
John StaffurthCardiff University, School of Medicine, Cardiff, United Kingdom.
David G LewisVelindre Cancer Centre, Medical Physics, Cardiff, United Kingdom.
Anthony E MillinVelindre Cancer Centre, Medical Physics, Cardiff, United Kingdom.
Velindre Cancer Centre · GBCardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeCurrent automated radiotherapy planning solutions do not allow for the intuitive exploration of different treatment options during protocol calibration. This work introduces an automated planning solution, which aims to address this problem through incorporating Pareto navigation techniques into the calibration process. MATERIALS AND

methodsFor each tumour site a set of planning goals is defined. Utilising Pareto navigation techniques an operator calibrates the solution through intuitively exploring different treatment options: selecting the optimum balancing of competing planning goals for the given site. Once calibrated, fully automated plan generation is possible, with specific algorithms implemented to ensure trade-off balancing of new patients is consistent with that during calibration. Using the proposed methodology the system was calibrated for prostate and seminal vesicle treatments. The resultant solution was validated through quantitatively comparing the dose distribution of automatically generated plans (VMAT

resultsVMAT

conclusionsAn automated planning methodology with a Pareto navigation based calibration has been developed, which enables the complex balancing of competing trade-offs to be intuitively incorporated into automated protocols.

Indexed as

AutomationIntensity modulated radiotherapyMulticriteria optimizationPareto navigationProstate cancerTreatment planningVMAT

Identifiers

PMID33458267
PMCPMC7807535
OpenAlexW2945364938

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.