Evidence map›Paper›PMID 31791355›Full record

ArticleRadiation oncology (London, England)2019

MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO).

Lucia Paganini, Giacomo Reggiori, Antonella Stravato, Valentina Palumbo, Pietro Mancosu, Francesca Lobefalo, Anna Gaudino, Antonella Fogliata, Marta Scorsetti, Stefano Tomatis

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Radiation oncology (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. PRIMO Monte Carlo software as a tool for commissioning of an external beam radiotherapy treatment planning system.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Article
  5. Monte Carlo simulation of linac using PRIMO.Radiation oncology (London, England) · 2022
    Article
  6. Article
  7. Article
  8. Two-dimensional real-time quality assurance dosimetry system using μ-AlPhysics and imaging in radiation oncology · 2020
    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

10 authors at 1 institution in 1 country.

Lucia PaganiniRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Giacomo ReggioriRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy. giacomo.reggiori@humanitas.it.ORCID http://orcid.org/0000-0003-3336-5690
Antonella StravatoRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Valentina PalumboRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Pietro MancosuRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Francesca LobefaloRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Anna GaudinoRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Antonella FogliataRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Marta ScorsettiRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Stefano TomatisRadiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
Humanitas University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPRIMO is a graphical environment based on PENELOPE Monte Carlo (MC) simulation of radiotherapy beams able to compute dose distribution in patients, from plans with different techniques. The dosimetric characteristics of an HD-120 MLC (Varian), simulated using PRIMO, were here compared with measurements, and also with Acuros calculations (in the Eclipse treatment planning system, Varian). MATERIALS AND

methodsA 10 MV FFF beam from a Varian EDGE linac equipped with the HD-120 MLC was used for this work. Initially, the linac head was simulated inside PRIMO, and validated against measurements in a water phantom. Then, a series of different MLC patterns were established to assess the MLC dosimetric characteristics. Those tests included: i) static fields: output factors from MLC shaped fields (2 × 2 to 10 × 10 cm

resultsStatic output factor MLC tests showed an agreement between MC calculated and measured OF of 0.5%. The dynamic tests presented DLG values of 0.033 ± 0.003 cm and 0.032 ± 0.006 cm for MC and measurements, respectively. Regarding the TG tests, a general agreement between the dose distributions of 1-2% was achieved, except for the extreme patterns (very small gaps/field sizes and high TG effect) were the agreement was about 4-5%. The analysis of the clinical cases, the Gamma agreement between MC in PRIMO and Acuros dose calculation in Eclipse was of 99.5 ± 0.2% for 3%/2 mm criteria of dose difference/distance to agreement.

conclusionsMC simulations in the PRIMO environment were in agreement with measurements for the HD-120 MLC in a 10 MV FFF beam from a Varian EDGE linac. This result allowed to consistently compare clinical cases, showing the possible use of PRIMO as an independent dose calculation check tool.

Indexed as

Phantoms, ImagingAlgorithmsComputer SimulationHumansMonte Carlo MethodNeoplasmsParticle AcceleratorsRadiometryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assisted

Identifiers

PMID31791355
PMCPMC6889207
OpenAlexW2990151733

What OpenQuestion holds

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LicenceCC BY
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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.