Evidence map›Paper›PMID 34821195›Full record

ArticleTechnology in cancer research & treatment

Correlation Between Average Segment Width and Gamma Passing Rate as a Function of MLC Position Error in Volumetric Modulated Arc Therapy.

Young Min Moon, Sang Il Bae, Moo Jae Han, Wan Jeon, Tosol Yu, Chul Won Choi, Jin Young Kim

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Young Min Moon222204Dongnam Institute of Radiological & Medical Sciences, Gijang-gun, Busan, Republic of Korea.ORCID 0000-0003-1780-6118
Sang Il Bae222204Dongnam Institute of Radiological & Medical Sciences, Gijang-gun, Busan, Republic of Korea.
Moo Jae HanCollage of Medicine, 65365Inje University, Busan, Republic of Korea.
Wan Jeon222204Dongnam Institute of Radiological & Medical Sciences, Gijang-gun, Busan, Republic of Korea.
Tosol Yu222204Dongnam Institute of Radiological & Medical Sciences, Gijang-gun, Busan, Republic of Korea.
Chul Won Choi222204Dongnam Institute of Radiological & Medical Sciences, Gijang-gun, Busan, Republic of Korea.
Jin Young Kim222204Dongnam Institute of Radiological & Medical Sciences, Gijang-gun, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study analyzed the correlation between the average segment width (ASW) and gamma passing rate according to the multi-leaf collimator (MLC) position error.

methodTo evaluate the changes in the gamma passing rate according to the MLC position error, 21 volumetric modulated arc therapy (VMAT) plans were generated using pelvic lymph node metastatic prostate cancer patient's data which is sensitive to MLC position errors as they involve several long, narrow, irregular fields. The ASW for each VMAT plan was calculated using our own code developed using Visual Basic for Applications (VBA). The gamma passing rate of the VMAT plan according to the MLC position error was evaluated using ArcCHECK (Sun Nuclear, Melbourne, FL, USA) while inducing symmetric MLC position errors in 0.25 mm intervals from -1 mm to +1 mm in the infinity medical linear accelerator (Elekta AB, Stockholm, Sweden). Finally, we examined the correlation between the change in the passing rate (

resultsThe ASW and

conclusionThese results are expected to be employed as guidelines to minimize the dose uncertainty due to MLC position error in VMAT.

Indexed as

AlgorithmsClinical Decision-MakingDisease ManagementGamma RaysHumansMalePelvisProstatic NeoplasmsRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assistedaverage segment widthgamma passing rateMLC position errorradiation therapyVMAT

Identifiers

PMID34821195
PMCPMC8649092

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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.