Evidence map›Paper›PMID 29270648›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2018

Automated volumetric modulated arc therapy planning for whole pelvic prostate radiotherapy.

Martin Buschmann, Abdul Wahab M Sharfo, Joan Penninkhof, Yvette Seppenwoolde, Gregor Goldner, Dietmar Georg, Sebastiaan Breedveld, Ben J M Heijmen

Open access · hybridAbstract read
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 49 citations in OpenAlex.

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  6. Automated treatment planning for liver cancer stereotactic body radiotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
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  7. Clinical application of a template-guided automated planning routine.Journal of applied clinical medical physics · 2023
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  10. Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022
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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

8 authors at 2 institutions in 2 countries.

Martin BuschmannDepartment of Radiation Oncology, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, 1090, Vienna, Austria. martin.buschmann@akhwien.at.
Abdul Wahab M SharfoDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Joan PenninkhofDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Yvette SeppenwooldeDepartment of Radiation Oncology, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Gregor GoldnerDepartment of Radiation Oncology, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Dietmar GeorgDepartment of Radiation Oncology, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Sebastiaan BreedveldDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Ben J M HeijmenDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Erasmus MC Cancer Institute · NLMedical University of Vienna · AT

Funding

Christian Doppler Forschungsgesellschaft CD 10277401
6 · The paper itself

Abstract

backgroundFor several tumor entities, automated treatment planning has improved plan quality and planning efficiency, and may enable adaptive treatment approaches. Whole-pelvic prostate radiotherapy (WPRT) involves large concave target volumes, which present a challenge for volumetric arc therapy (VMAT) optimization. This study evaluates automated VMAT planning for WPRT-VMAT and compares the results with manual expert planning.

methodsA system for fully automated multi-criterial plan generation was configured for each step of sequential-boost WPRT-VMAT, with final "autoVMAT" plans being automatically calculated by the Monaco treatment planning system (TPS; Elekta AB, Stockholm, Sweden). Configuration was based on manually generated VMAT plans (manualVMAT) of 5 test patients, the planning protocol, and discussions with the treating physician on wishes for plan improvements. AutoVMAT plans were then generated for another 30 evaluation patients and compared to manualVMAT plans. For all 35 patients, manualVMAT plans were optimized by expert planners using the Monaco TPS.

resultsAutoVMAT plans exhibited strongly improved organ sparing and higher conformity compared to manualVMAT. On average, mean doses (D

conclusionAutomated VMAT planning for complex WPRT dose distributions is feasible and creates treatment plans that are generally dosimetrically superior to manually optimized plans.

Indexed as

AgedAlgorithmsHumansLymphatic MetastasisMaleMiddle AgedOrgans at RiskPelvisProstatic NeoplasmsRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedTumor BurdenLymph nodesMulticriteria optimizationOrgans at riskProstate cancerVolumetric modulated arc therapy

Identifiers

PMID29270648
PMCPMC5869893
OpenAlexW2781226553

What OpenQuestion holds

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LicenceCC BY
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.