Evidence map›Paper›PMID 34623022›Full record

ArticleJournal of applied clinical medical physics2021

Algorithm for an automatic treatment planning system using a single-arc VMAT for prostate cancer.

Takumi Kodama, Shigehiro Kudo, Shogo Hatanaka, Masatsugu Hariu, Munefumi Shimbo, Takeo Takahashi

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Takumi KodamaDepartment of Radiation Oncology, Ina, Saitama Prefectural Hospital Organization Saitama Cancer Center, Saitama, Japan.
Shigehiro KudoDepartment of Radiation Oncology, Ina, Saitama Prefectural Hospital Organization Saitama Cancer Center, Saitama, Japan.
Shogo HatanakaDepartment of Radiation Oncology, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan.
Masatsugu HariuDepartment of Radiation Oncology, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan.
Munefumi ShimboDepartment of Radiation Oncology, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan.
Takeo TakahashiDepartment of Radiation Oncology, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimization process in treatment planning for intensity-modulated radiation therapy varies with the treatment planner. Therefore, a large variation in the quality of dose distribution is usually observed. To reduce variation, an automatic optimizing toolkit was developed for the Monaco treatment planning system (Elekta AB, Stockholm, Sweden) for prostate cancer using volumetric-modulated arc therapy (VMAT). This toolkit was able to create plans automatically. However, most plans needed two arcs per treatment to ensure the dose coverage for targets. For prostate cancer, providing a plan with a single arc was advisable in clinical practice because intrafraction motion management must be considered to irradiate accurately. The purpose of this work was to develop an automatic treatment planning system with a single arc per treatment for prostate cancer using VMAT. We designed the new algorithm for the automatic treatment planning system to use one arc per treatment for prostate cancer in Monaco. We constructed the system in two main steps: (1) Determine suitable cost function parameters for each case before optimization, and (2) repeat the calculation and optimization until the conditions for dose indices are fulfilled. To evaluate clinical suitability, the plan quality between manual planning and the automatic planning system was compared. Our system created the plans automatically in all patients within a few iterations. Statistical differences between the plans were not observed for the target and organ at risk. It created the plans with no human input other than the initial template setting and system initiation. This system offers improved efficiency in running the treatment planning system and human resources while ensuring high-quality outputs.

Indexed as

Prostatic NeoplasmsRadiotherapy, Intensity-ModulatedAlgorithmsHumansMaleRadiotherapy DosageRadiotherapy Planning, Computer-Assistedautomated treatment planningMonacooptimizationprostateVMAT

Identifiers

PMID34623022
PMCPMC8664139

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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.