Evidence map›Paper›PMID 32986184›Full record

ArticleRadiological physics and technology2020

Dosimetric evaluation with knowledge-based planning created at different periods in volumetric-modulated arc therapy for prostate cancer: a multi-institution study.

Hajime Monzen, Mikoto Tamura, Yoshihiro Ueda, Jun-Ichi Fukunaga, Tatsuya Kamima, Yuta Muraki, Kazuki Kubo, Kiyoshi Nakamatsu

Abstract read
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In one paragraph

Article in Radiological physics and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  7. Knowledge-based planning using pseudo-structures for volumetric modulated arc therapy (VMAT) of postoperative uterine cervical cancer: a multi-institutional study.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2021
    Article
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  11. Characterization of knowledge-based volumetric modulated arc therapy plans created by three different institutions' models for prostate cancer.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
    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

8 authors at 5 institutions in 1 country.

Hajime MonzenDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, 377-2 Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan. hmon@med.kindai.ac.jp.
Mikoto TamuraDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, 377-2 Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan.
Yoshihiro UedaDepartment of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 537-8567, Japan.
Jun-Ichi FukunagaDivisin of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Tatsuya KamimaDepartment of Radiation Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan.
Yuta MurakiDepartment of Radiology, Seirei Hamamatsu General Hospital, 2-12-12 Sumiyoshi, Naka-ku, Hamamatsu, Shizuoka, 430-8558, Japan.
Kazuki KuboDepartment of Medical Physics, Graduate School of Medical Sciences, Kindai University, 377-2 Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan.
Kiyoshi NakamatsuDepartment of Radiation Oncology, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan.
Kindai University · JPJapanese Foundation For Cancer Research · JPKyushu University Hospital · JPOsaka Medical Center for Cancer and Cardiovascular Diseases · JPSeirei Hamamatsu General Hospital · JP

Funding

Japan Society for the Promotion of Science 17K15817
6 · The paper itself

Abstract

Dosimetric evaluation and variation assessment were performed with two knowledge-based planning (KBP) models created at different periods for volumetric-modulated arc therapy (VMAT) for prostate cancer at five institutes. The first and second models (F- and S-models) for KBP were created before April 2017 and April 2019, respectively. The S-model was created using feedback plans from the F-model. Dose evaluation was compared between the two models using the same two computed tomography (CT) datasets and structures. The evaluation metrics were the dose received by 95.0% and 2.0% of the planning target volume (PTV); dose-volume parameters to the rectum and bladder as V90, V80, and V50; and monitor unit (MU). Dosimetric variation was compared by exporting estimated dose-volume histograms for each model to the Model Analytics website and assessing the organ at risk volume. There were no dosimetric differences between the two models for PTV. The V50 of the rectum in the S-model had improved compared to that of the F-model (case I: 49.3 ± 15.6 and 43.5 ± 15.2 [p = 0.08]; case II: 42.5 ± 16.9 and 36.0 ± 15.6 [p = 0.138]). The differences in other parameters were within ± 1.8% between the rectum and the bladder. The MU was slightly higher in the S-model than in the F-model, and dosimetric variation was reduced to the rectum and bladder among all the institutes. The polished S-model for KBP could be used for standardization of the plan quality and sharing of KBP models in VMAT for prostate cancer.

Indexed as

Prostatic NeoplasmsRadiotherapy, Intensity-ModulatedHumansMaleOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedKnowledge-based planningPlan qualityProstateRapidplanStandardizationVolumetric-modulated arc therapy

Identifiers

PMID32986184
OpenAlexW3088264067

What OpenQuestion holds

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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.