Evidence map›Paper›PMID 36689188›Full record

ArticlePhysical and engineering sciences in medicine2023

Comparing log file to measurement-based patient-specific quality assurance.

Li Ting Chan, Yun Inn Tan, Poh Wee Tan, Yuh Fun Leong, Jong Shin Khor, Mun Woan Teh, Joan Faith Loria Cruz, Sháun Peter Baggarley, Kiat Huat Ooi, Yiat Horng Leong

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Article in Physical and engineering sciences in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Li Ting ChanRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore. liting.chan@alumni.duke.edu.ORCID http://orcid.org/0000-0002-6071-4991
Yun Inn TanRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Poh Wee TanRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Yuh Fun LeongRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Jong Shin KhorRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Mun Woan TehRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Joan Faith Loria CruzRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Sháun Peter BaggarleyRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Kiat Huat OoiRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
Yiat Horng LeongRadiation Therapy Centre, National University Cancer Institute Singapore, Singapore, Singapore.
National University Cancer Institute, Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent technological advances have allowed the possibility of performing patient-specific quality assurance (QA) without time-intensive measurements. The objectives of this study are to: (1) compare how well the log file-based Mobius QA system agrees with measurement-based QA methods (ArcCHECK and portal dosimetry, PD) in passing and failing plans, and; (2) evaluate their error sensitivities. To these ends, ten phantom plans and 100 patient plans were measured with ArcCHECK and PD on VitalBeam, while log files were sent to Mobius for dose recalculation. Gamma evaluation was performed using criteria 3%/2 mm, per TG218 recommendations, and non-inferiority of the Mobius recalculation was determined with statistical testing. Ten random plans were edited to include systematic errors, then subjected to QA. Receiver operating characteristic curves were constructed to compare error sensitivities across the QA systems, and clinical significance of the errors was determined by recalculating dose to patients. We found no significant difference between Mobius, ArcCHECK, and PD in passing plans at the TG218 action limit. Mobius showed good sensitivity to collimator and gantry errors but not MLC bank shift errors, but could flag discrepancies in treatment delivery. Systematic errors were clinically significant only at large magnitudes; such unacceptable plans did not pass QA checks at the TG218 tolerance limit. Our results show that Mobius is not inferior to existing measurement-based QA systems, and can supplement existing QA practice by detecting real-time delivery discrepancies. However, it is still important to maintain rigorous routine machine QA to ensure reliability of machine log files.

Indexed as

Radiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHumansPhantoms, ImagingReproducibility of ResultsTechnologyArray measurementsLog filesPatient-specific QAPortal dosimetrySystematic error

Identifiers

PMID36689188
OpenAlexW4317745694

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.