Evidence map›Paper›PMID 26207808›Full record

ArticlePloS one2015

Adapted Prescription Dose for Monte Carlo Algorithm in Lung SBRT: Clinical Outcome on 205 Patients.

Jean-Emmanuel Bibault, Xavier Mirabel, Thomas Lacornerie, Emmanuelle Tresch, Nick Reynaert, Eric Lartigau

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Harmonization of dose prescription for lung stereotactic radiotherapy.Physics and imaging in radiation oncology · 2022
    Article
  5. Article
  6. Review
  7. 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. 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
  12. Article
  13. Article
  14. Article
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.

Jean-Emmanuel BibaultAcademic Radiation Oncology Department, Oscar Lambret Comprehensive Cancer Center, 3 rue Frédéric Combemale, Lille, France; Faculty of Medicine, University Lille 2, Lille, France; ONCOLille, maison régionale de la recherche Clinique, Lille, France.
Xavier MirabelAcademic Radiation Oncology Department, Oscar Lambret Comprehensive Cancer Center, 3 rue Frédéric Combemale, Lille, France; Faculty of Medicine, University Lille 2, Lille, France; ONCOLille, maison régionale de la recherche Clinique, Lille, France.
Thomas LacornerieAcademic Radiation Oncology Department, Oscar Lambret Comprehensive Cancer Center, 3 rue Frédéric Combemale, Lille, France; Faculty of Medicine, University Lille 2, Lille, France; ONCOLille, maison régionale de la recherche Clinique, Lille, France.
Emmanuelle TreschBiostatistics Department, Oscar Lambret Comprehensive Cancer Center, 3 rue Frédéric Combemale, Lille, France; ONCOLille, maison régionale de la recherche Clinique, Lille, France.
Nick ReynaertAcademic Radiation Oncology Department, Oscar Lambret Comprehensive Cancer Center, 3 rue Frédéric Combemale, Lille, France; Faculty of Medicine, University Lille 2, Lille, France; ONCOLille, maison régionale de la recherche Clinique, Lille, France.
Eric LartigauAcademic Radiation Oncology Department, Oscar Lambret Comprehensive Cancer Center, 3 rue Frédéric Combemale, Lille, France; Faculty of Medicine, University Lille 2, Lille, France; ONCOLille, maison régionale de la recherche Clinique, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSBRT is the standard of care for inoperable patients with early-stage lung cancer without lymph node involvement. Excellent local control rates have been reported in a large number of series. However, prescription doses and calculation algorithms vary to a great extent between studies, even if most teams prescribe to the D95 of the PTV. Type A algorithms are known to produce dosimetric discrepancies in heterogeneous tissues such as lungs. This study was performed to present a Monte Carlo (MC) prescription dose for NSCLC adapted to lesion size and location and compare the clinical outcomes of two cohorts of patients treated with a standard prescription dose calculated by a type A algorithm or the proposed MC protocol. PATIENTS AND

methodsPatients were treated from January 2011 to April 2013 with a type B algorithm (MC) prescription with 54 Gy in three fractions for peripheral lesions with a diameter under 30 mm, 60 Gy in 3 fractions for lesions with a diameter over 30 mm, and 55 Gy in five fractions for central lesions. Clinical outcome was compared to a series of 121 patients treated with a type A algorithm (TA) with three fractions of 20 Gy for peripheral lesions and 60 Gy in five fractions for central lesions prescribed to the PTV D95 until January 2011. All treatment plans were recalculated with both algorithms for this study. Spearman's rank correlation coefficient was calculated for GTV and PTV. Local control, overall survival and toxicity were compared between the two groups.

results205 patients with 214 lesions were included in the study. Among these, 93 lesions were treated with MC and 121 were treated with TA. Overall survival rates were 86% and 94% at one and two years, respectively. Local control rates were 79% and 93% at one and two years respectively. There was no significant difference between the two groups for overall survival (p = 0.785) or local control (p = 0.934). Fifty-six patients (27%) developed grade I lung fibrosis without clinical consequences. GTV size was a prognostic factor for overall survival (HR = 1.026, IC95% [1.01-1.041], p<0.001) and total dose was a prognostic factor for local control (HR = 0.924, IC95% [0.870-0.982], p = 0.011). D50 of the GTV calculated with MC correlated poorly with the D95 of the PTV calculated with TA (r = 0.116) for lesions with a diameter of 20 mm or less. For lesions larger than 20 mm, spearman correlation was higher (r = 0.618), but still insufficient.

conclusionNo difference in local control or overall survival was found between patients treated with a type A or a type B algorithm in our cohort. A size and location adapted GTV-based prescription method could be used with a type B algorithm. External validation of these results is warranted.

Indexed as

AlgorithmsMonte Carlo MethodRadiotherapy DosageAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedPositron-Emission TomographyTomography, X-Ray ComputedTreatment Outcome

Identifiers

PMID26207808
PMCPMC4514775

What OpenQuestion holds

Textmetadata
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.