Evidence map›Paper›PMID 38923699›Full record

ArticleJournal of applied clinical medical physics2024

The effect of Inc parameter on VMAT radiotherapy plans quality for rectal cancer using Monaco TPS.

Peng Zhou, Jia Luo, Xiaona Su, Chuan Chen

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2024. 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. 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

4 authors.

Peng ZhouDepartment of Oncology, Daping Hospital, Army Military Medical University, Chongqing, China.
Jia LuoDepartment of Oncology, Daping Hospital, Army Military Medical University, Chongqing, China.
Xiaona SuDepartment of Oncology, Daping Hospital, Army Military Medical University, Chongqing, China.
Chuan ChenDepartment of Oncology, Daping Hospital, Army Military Medical University, Chongqing, China.

Funding

Joint project of Chongqing Health Commission and Science and Technology Bureau 2022ZDXM027
6 · The paper itself

Abstract

backgroundTo investigate the effect of the Increment of gantry angle (Inc) parameter setting of the Monaco Treatment planning system (Monaco TPS) on the dosimetry and quality parameters of the volumetric modulated arc therapy (VMAT) program for rectal cancer.

methodsA retrospective analysis was conducted on 50 patients with rectal cancer who underwent intensity modulated radiation therapy using the Monaco TPS system from 2020 to 2021. Under the same optimization function configuration and other parameter settings, the Inc parameters in the VMAT radiotherapy plan were set to 10°, 20°, 30°, and 40°. The dose-volume histogram (DVH) was used to evaluate the dose distribution of the target area and the radiation dose of the organs at risk (OAR). The differences in the dosimetry of the planning target volume (PTV) and OAR, as well as the gamma pass rate (GPR) were compared.

resultsIn terms of target dose, D98, D

conclusionsDifferent settings of Inc parameters have varying degrees of impact on target dose, OAR dose, and machine MU. It is important for doctors to choose different Inc parameters according to different clinical needs.

Indexed as

Organs at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRectal NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedPrognosisQuality Assurance, Health CareRetrospective StudiesincrementMonaco treatment planning systemrectal cancervolumetric modulated arc therapy

Identifiers

PMID38923699
PMCPMC11492351

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.