Evidence map›Paper›PMID 33440075›Full record

ArticleJournal of applied clinical medical physics2021

Automatic couch position calculation using eclipse scripting for external beam radiotherapy.

Hesheng Wang, Anthony Rea, Benedikt Rudek, Ting Chen, Allison McCarthy, David Barbee

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. 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
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hesheng WangDepartment of Radiation Oncology, NYU Langone Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Anthony ReaDepartment of Radiation Oncology, NYU Langone Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Benedikt RudekDepartment of Radiation Oncology, NYU Langone Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Ting ChenDepartment of Radiation Oncology, NYU Langone Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Allison McCarthyDepartment of Radiation Oncology, NYU Langone Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
David BarbeeDepartment of Radiation Oncology, NYU Langone Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe treatment couch position of a patient in external beam radiation therapy (EBRT) is usually acquired during initial treatment setup. This procedure has shown potential failure modes leading to near misses and adverse events in radiation treatment. This study aims to develop a method to automatically determine the couch position before setting up a patient for initial treatment.

methodsThe Qfix couch-tops (kVue and DoseMax) have embedded reference marks (BBs) indicating its index levels and couch centerline. With the ESAPI, a C# script was programmed to automatically find the couch-top and embedded BBs in the planning CT and derive the treatment couch position according to treatment isocenter of a plan. Couch positions of EBRT plans with the kVue couch-top and SBRT plans using the DoseMax were calculated using the script. The calculation was evaluated by comparing calculated positions with couch coordinates captured during the initial treatment setup after image guidance. The calculations were further compared with daily treatment couch positions post image-guided adjustment for each treatment fraction.

resultsFor plans using the kVue couch-top for various treatment sites, the median (5-95 percentiles) differences between calculated and captured couch positions were 0.1 (-0.2 - 0.9), 0.5 (-1.1-2.0), 0.10 (-1.3-1.3) cm in the vertical, longitudinal, and lateral direction respectively. For the DoseMax couch-top, the median differences were 0.1 (-0.2-0.7), 0.2 (-0.3-1.1), and 0.2 (-0.7-0.9) cm in respective direction. The calculated positions were within 1 and 2 cm from the mean fraction positions for 95% patients on DoseMax and kVue couch-top respectively.

conclusionsA method that automatically and accurately calculates treatment couch position from simulation CT was implemented in Varian Eclipse for Qfix couch-tops. This technique increases the efficiency of patient setup and enhances patient safety by reducing the risks of positioning errors.

Indexed as

Radiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedComputer SimulationHumansPatient PositioningRadiotherapy DosageESAPIpatient safetytreatment couch positionwrong-site error

Identifiers

PMID33440075
PMCPMC7882100

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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.