Evidence map›Paper›PMID 26699591›Full record

ArticleJournal of applied clinical medical physics2015

The effect of body contouring on the dose distribution delivered with volumetric-modulated arc therapy technique.

Jaegi Lee, Jong Min Park, Hong-Gyun Wu, Jin Ho Kim, Sung-Joon Ye

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2015. 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
  2. Statistical process control to monitor use of a web-based autoplanning tool.Journal of applied clinical medical physics · 2022
    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

5 authors.

Jaegi LeeSeoul National University Graduate School of Convergence Science and Technology and Seoul National University Hospital. bacillus411@gmail.com.
Jong Min Park
Hong-Gyun Wu
Jin Ho Kim
Sung-Joon Ye

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the study was to investigate the dosimetric effect defining the body structure with various Hounsfield unit (HU) threshold values on the dose distributions of volumetric-modulated arc therapy (VMAT) plans. Twenty patients with prostate cancer and twenty patients with head and neck (H&N) cancer were retrospectively selected. For each patient, the body structure was redefined with HU threshold values of -180 (Body180), -350 (Body350), -700 (Body700), and -980 (Body980). For each patient, dose-volumetric parameters with those body structures were calculated using identical VMAT plans. The differences in dose-volumetric parameters due to the varied HU threshold values were calculated. For the prostate boost target volume, the maximum dose, mean dose, D95%, and D5% with Body180 were higher than those with Body980 by approximately 0.7% (p < 0.001). For H&N target volumes, the changes in D95% of the targets receiving 67.5 Gy, 54 Gy, and 48 Gy between Body180 and Body980 were -1.2%, -0.9%, and -1.2%, respectively (p < 0.001). The differences were larger for H&N VMAT plans than for prostate VMAT plans due to the inclusion of an immobilization device in the irradiated region in H&N cases. To apply all attenuating materials to dose calculation, the body structure would be defined with -980 HU. Otherwise, systematic error of about 1%, resulting in underdosage of the target volume, can occur.

Indexed as

AlgorithmsHead and Neck NeoplasmsHumansMaleNasopharyngeal NeoplasmsOrgans at RiskProstatic NeoplasmsRadiographyRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRetrospective Studies

Identifiers

PMID26699591
PMCPMC5691003

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.