Evidence map›Paper›PMID 35856911›Full record

ArticleJournal of applied clinical medical physics2022

Commissioning and validation of RayStation treatment planning system for CyberKnife M6.

Maude Gondré, Mireille Conrad, Véronique Vallet, Jean Bourhis, François Bochud, Raphaël Moeckli

Abstract read
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Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Maude GondréInstitute of Radiation Physics, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
Mireille ConradInstitute of Radiation Physics, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
Véronique ValletInstitute of Radiation Physics, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
Jean BourhisRadio-Oncology Department, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
François BochudInstitute of Radiation Physics, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
Raphaël MoeckliInstitute of Radiation Physics, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRaySearch (AB, Stockholm) has released a module for CyberKnife (CK) planning within its RayStation (RS) treatment planning system (TPS). PURPOSE: To create and validate beam models of fixed, Iris, and multileaf collimators (MLC) of the CK M6 for Monte Carlo (MC) and collapsed cone (CC) algorithms in the RS TPS.

methodsMeasurements needed for the creation of the beam models were performed in a water tank with a stereotactic PTW 60018 diode. Both CC and MC models were optimized in RS by minimizing the differences between the measured and computed profiles and percentage depth doses. The models were then validated by comparing dose from the plans created in RS with both single and multiple beams in different phantom conditions with the corresponding measured dose. Irregular field shapes and off-axis beams were also tested for the MLC. Validation measurements were performed using an A1SL ionization chamber, EBT3 Gafchromic films, and a PTW 1000 SRS detector. Finally, patient-specific QAs with gamma criteria of 3%/1 mm were performed for each model.

resultsThe models were created in a straightforward manner with efficient tools available in RS. The differences between computed and measured doses were within ±1% for most of the configurations tested and reached a maximum of 3.2% for measurements at a depth of 19.5-cm. With respect to all collimators and algorithms, the maximum averaged dose difference was 0.8% when considering absolute dose measurements on the central axis. The patient-specific QAs led to a mean result of 98% of points fulfilling gamma criteria.

conclusionsWe created both CC and MC models for fixed, Iris, and MLC collimators in RS. The dose differences for all collimators and algorithms were within ±1%, except for depths larger than 9 cm. This allowed us to validate both models for clinical use.

Indexed as

AlgorithmsRadiotherapy Planning, Computer-AssistedHumansMonte Carlo MethodPhantoms, ImagingRadiotherapy Dosagecollapsed conecommissioningCyberKnifeMonte Carlotreatment planning systemvalidation measurements

Identifiers

PMID35856911
PMCPMC9359029

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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.