Evidence map›Paper›PMID 37431696›Full record

ArticleJournal of applied clinical medical physics2023

Commissioning and validation of a Monte Carlo algorithm for spine stereotactic radiosurgery.

Cory Knill, Raminder Sandhu, Brian Loughery, Lifeng Lin, Robert Halford, Doug Drake, Michael Snyder

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

7 authors.

Cory KnillDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Raminder SandhuDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Brian LougheryDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Lifeng LinDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Robert HalfordDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Doug DrakeDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Michael SnyderDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA 6FFF Monte Carlo (MC) dose calculation algorithm was commissioned for spine stereotactic radiosurgery (SRS). Model generation, validation, and ensuing model tuning are presented.

methodsThe model was generated using in-air and in-water commissioning measurements of field sizes between 10 and 400 mm

resultsCompared to open field measurements, MC calculated output factors and PDDs were within 2%, profile penumbra widths were within 1 mm, and field sizes were within 0.5 mm. Calculated point dose measurements in the StereoPHAN were within 0.26% ± 0.93% and -0.10% ± 1.37% for targets and spinal canals, respectively. Average SRSMapcheck per-plan pass rates using a 2%/2 mm/10% threshold relative gamma analysis was 99.1% ± 0.89%. Adjusting LOs improved open field and patient-specific dosimetric agreement. Anthropomorphic phantom measurements were within -1.29% ± 1.00% and 0.27% ± 1.36% of MC calculated for the vertebral body (target) and spinal canal, respectively. VIPAR gel measurements confirmed good dosimetric agreement near the target-spine junction.

conclusionValidation of a MC algorithm for simple fields and complex SRS spine deliveries in homogeneous and heterogeneous phantoms has been performed. The MC algorithm has been released for clinical use.

Indexed as

RadiosurgeryAlgorithmsHumansRadiometryRadiotherapy Planning, Computer-AssistedWaterWaterbrainlab spine SRSMonte Carloversa HD

Identifiers

PMID37431696
PMCPMC10647963

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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.