Evidence map›Paper›PMID 32726141›Full record

ArticleThe British journal of radiology2020

Automated Monte-Carlo re-calculation of proton therapy plans using Geant4/Gate: implementation and comparison to plan-specific quality assurance measurements.

Adam H Aitkenhead, Peter Sitch, Jenny C Richardson, Carla Winterhalter, Imran Patel, Ranald I Mackay

Open access · greenAbstract readValidation Study
In one paragraph

Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. How can we consider variable RBE and LETRadiation oncology (London, England) · 2022
    Article
  10. Article
  11. 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 at 2 institutions in 1 country.

Adam H AitkenheadChristie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
Peter SitchChristie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
Jenny C RichardsonChristie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
Carla WinterhalterChristie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
Imran PatelChristie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
Ranald I MackayChristie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
University of Manchester · GBThe Christie NHS Foundation Trust · GB

Funding

Cancer Research UK 21993
6 · The paper itself

Abstract

objectivesSoftware re-calculation of proton pencil beam scanning plans provides a method of verifying treatment planning system (TPS) dose calculations prior to patient treatment. This study describes the implementation of AutoMC, a Geant4 v10.3.3/Gate v8.1 (Gate-RTion v1.0)-based Monte-Carlo (MC) system for automated plan re-calculation, and presents verification results for 153 patients (730 fields) planned within year one of the proton service at The Christie NHS Foundation Trust.

methodsA MC beam model for a Varian ProBeam delivery system with four range-shifter options (none, 2 cm, 3 cm, 5 cm) was derived from beam commissioning data and implemented in AutoMC. MC and TPS (Varian Eclipse v13.7) calculations of 730 fields in solid-water were compared to physical plan-specific quality assurance (PSQA) measurements acquired using a PTW Octavius 1500XDR array and PTW 31021 Semiflex 3D ion chamber.

resultsTPS and MC showed good agreement with array measurements, evaluated using γ analyses at 3%, 3 mm with a 10% lower dose threshold:>94% of fields calculated by the TPS and >99% of fields calculated by MC had γ ≤ 1 for>95% of measurement points within the plane. TPS and MC also showed good agreement with chamber measurements of absolute dose, with systematic differences of <1.5% for all range-shifter options.

conclusionsReliable independent verification of the TPS dose calculation is a valuable complement to physical PSQA and may facilitate reduction of the physical PSQA workload alongside a thorough delivery system quality assurance programme. ADVANCES IN KNOWLEDGE: A Gate/Geant4-based MC system is thoroughly validated against an extensive physical PSQA dataset for 730 clinical fields, showing that clinical implementation of MC for PSQA is feasible.

Indexed as

Quality Assurance, Health CareRadiotherapy Planning, Computer-AssistedAlgorithmsCalibrationEnglandHumansMonte Carlo MethodProton TherapyRadiotherapy DosageReproducibility of Results

Identifiers

PMID32726141
PMCPMC7548378
OpenAlexW3046193768

What OpenQuestion holds

Textmetadata
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.