Evidence map›Paper›PMID 36560887›Full record

ArticleJournal of applied clinical medical physics2023

Do we need patient-specific QA for adaptively generated plans? Retrospective evaluation of delivered online adaptive treatment plans on Varian Ethos.

Xiaodong Zhao, Dennis N Stanley, Carlos E Cardenas, Joseph Harms, Richard A Popple

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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  13. MU variability in CBCT-guided online adaptive radiation therapy.Journal of applied clinical medical physics · 2024
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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

5 authors.

Xiaodong ZhaoDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-1984-5372
Dennis N StanleyDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Carlos E CardenasDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Joseph HarmsDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-2441-9853
Richard A PoppleDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-1252-738X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical introduction of dedicated treatment units for online adaptive radiation therapy (OART) has led to widespread adoption of daily adaptive radiotherapy. OART allows for rapid generation of treatment plans using daily patient anatomy, potentially leading to reduction of treatment margins and increased normal tissue sparing. However, the OART workflow does not allow for measurement of patient-specific quality assurance (PSQA) during treatment delivery sessions and instead relies on secondary dose calculations for verification of adapted plans. It remains unknown if independent dose verification is a sufficient surrogate for PSQA measurements. PURPOSE: To evaluate the plan quality of previously treated adaptive plans through multiple standard PSQA measurements.

methodsThis IRB-approved retrospective study included sixteen patients previously treated with OART at our institution. PSQA measurements were performed for each patient's scheduled and adaptive plans: five adaptive plans were randomly selected to perform ion chamber measurements and two adaptive plans were randomly selected for ArcCHECK measurements. The same ArcCHECK 3D dose distribution was also sent to Mobius3D to evaluate the second-check dosimetry system.

resultsAll (n = 96) ion chamber measurements agreed with the planned dose within 3% with a mean of 1.4% (± 0.7%). All (n = 48) plans passed ArcCHECK measurements using a 95% gamma passing threshold and 3%/2 mm criteria with a mean of 99.1% (± 0.7%). All (n = 48) plans passed Mobius3D second-check performed with 95% gamma passing threshold and 5%/3 mm criteria with a mean of 99.0% (± 0.2%).

conclusionPlan measurement for PSQA may not be necessary for every online-adaptive treatment verification. We recommend the establishment of a periodic PSQA check to better understand trends in passing rates for delivered adaptive treatments.

Indexed as

Radiotherapy, Intensity-ModulatedHumansQuality Assurance, Health CareRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective Studiesonline adaptive radiotherapypatient-specific quality assurancesecond check dosimetry

Identifiers

PMID36560887
PMCPMC9924122

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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.