Evidence map›Paper›PMID 25319444›Full record

ArticleRadiation oncology (London, England)2014

GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms.

Thomas Lacornerie, Albert Lisbona, Xavier Mirabel, Eric Lartigau, Nick Reynaert

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Harmonization of dose prescription for lung stereotactic radiotherapy.Physics and imaging in radiation oncology · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Dose prescription with spatial uncertainty for peripheral lung SBRT.Journal of applied clinical medical physics · 2019
    Article
  8. Article
  9. Breathing-motion-compensated robotic guided stereotactic body radiation therapy : Patterns of failure analysis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018
    Article
  10. Article
  11. Time for standardization of SBRT planning through large scale clinical data and guideline-based approaches.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2017
    Article
  12. Planning benchmark study for SBRT of early stage NSCLC : Results of the DEGRO Working Group Stereotactic Radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2017
    Article
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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

5 authors.

Thomas LacornerieService de Physique Médicale, Centre Oscar Lambret, Lille, France. t-lacornerie@o-lambret.fr.
Albert LisbonaService de Physique Médicale, Institut de Cancérologie de l'Ouest, Nantes, France. albert.lisbona@ico.unicancer.fr.
Xavier MirabelDépartement Universitaire de Radiothérapie, Centre Oscar Lambret, Lille, France. x-mirabel@o-lambret.fr.
Eric LartigauDépartement Universitaire de Radiothérapie, Centre Oscar Lambret, Lille, France. e-lartigau@o-lambret.fr.
Nick ReynaertService de Physique Médicale, Centre Oscar Lambret, Lille, France. n-reynaert@o-lambret.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of current study was to investigate the way dose is prescribed to lung lesions during SBRT using advanced dose calculation algorithms that take into account electron transport (type B algorithms). As type A algorithms do not take into account secondary electron transport, they overestimate the dose to lung lesions. Type B algorithms are more accurate but still no consensus is reached regarding dose prescription. The positive clinical results obtained using type A algorithms should be used as a starting point.

methodsIn current work a dose-calculation experiment is performed, presenting different prescription methods. Three cases with three different sizes of peripheral lung lesions were planned using three different treatment platforms. For each individual case 60 Gy to the PTV was prescribed using a type A algorithm and the dose distribution was recalculated using a type B algorithm in order to evaluate the impact of the secondary electron transport. Secondly, for each case a type B algorithm was used to prescribe 48 Gy to the PTV, and the resulting doses to the GTV were analyzed. Finally, prescriptions based on specific GTV dose volumes were evaluated.

resultsWhen using a type A algorithm to prescribe the same dose to the PTV, the differences regarding median GTV doses among platforms and cases were always less than 10% of the prescription dose. The prescription to the PTV based on type B algorithms, leads to a more important variability of the median GTV dose among cases and among platforms, (respectively 24%, and 28%). However, when 54 Gy was prescribed as median GTV dose, using a type B algorithm, the variability observed was minimal.

conclusionNormalizing the prescription dose to the median GTV dose for lung lesions avoids variability among different cases and treatment platforms of SBRT when type B algorithms are used to calculate the dose. The combination of using a type A algorithm to optimize a homogeneous dose in the PTV and using a type B algorithm to prescribe the median GTV dose provides a very robust method for treating lung lesions.

Indexed as

AlgorithmsPhantoms, ImagingRadiosurgeryHumansLung NeoplasmsMonte Carlo MethodRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assisted

Identifiers

PMID25319444
PMCPMC4205279

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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.