Evidence map›Paper›PMID 42479382›Full record

ArticlePhysical and engineering sciences in medicine2026

Dosimetric impact of knowledge-based automated planning using HyperArc for angiosarcoma of the scalp.

Shoki Inui, Natsuo Tomita, Taiki Takaoka, Yoshihiro Ueda, Shingo Ohira, Yuya Nitta, Sayaka Kihara, Takahiro Tsuchiya, Yutaka Takahashi, Teiji Nishio and 2 more

Abstract read
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In one paragraph

Article in Physical and engineering sciences in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Shoki InuiDepartment of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuou-ku, Osaka, 541-8567, Japan. inui-sy@oici.jp.ORCID http://orcid.org/0000-0002-5691-8457
Natsuo TomitaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Taiki TakaokaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Yoshihiro UedaDepartment of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuou-ku, Osaka, 541-8567, Japan.
Shingo OhiraDepartment of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan.
Yuya NittaDepartment of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuou-ku, Osaka, 541-8567, Japan.
Sayaka KiharaDepartment of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuou-ku, Osaka, 541-8567, Japan.
Takahiro TsuchiyaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Yutaka TakahashiLaboratory of Therapeutic Radiation Biology, Division of Health Science, Graduate School of Medicine, The University of Osaka, Suita, Osaka, Japan.
Teiji NishioMedical Physics Laboratory, Division of Health Science, Graduate School of Medicine, The University of Osaka, Suita, Osaka, Japan.
Masahiko KoizumiDepartment of Radiology, Nozaki Tokushukai Hospital, Daito, Japan.
Koji KonishiDepartment of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuou-ku, Osaka, 541-8567, Japan.

Funding

Japan Society for the Promotion of Science Grant-in-Aid for Young Scientists 20K16843
6 · The paper itself

Abstract

This study aimed to automate and standardize treatment planning by comparing the dosimetric performance of conventional volumetric modulated arc therapy (C-VMAT) with that of HyperArc optimized using the knowledge-based RapidPlan model trained with the HyperArc plan (RP-HA) for total scalp irradiation (TSI) in the treatment of angiosarcoma of the scalp (AS). Additionally, this study compared the dosimetric performance of RP-HA with that of non-coplanar VMAT optimized using the same model (RP-NC-VMAT). From 40 patients with AS who had undergone TSI, 20 patients were selected for HyperArc planning and RapidPlan model training. The remaining 20 patients had treatment plans generated using three different methods (C-VMAT, RP-NC-VMAT, and RP-HA). The prescription doses were 70 and 56 Gy in 35 fractions of the target volumes, including gross tumor and whole scalp, respectively, using the simultaneous integrated boost technique. The dose distribution, dosimetric parameters, and dosimetric accuracy of each treatment plan were evaluated and compared between methods. None of the three methods exceeded the acceptable limits for all constraint parameters of the target and organs at risk. The RP-HA plan provided a significantly lower mean brain dose (10.96 ± 1.54 Gy) than the C-VMAT and RP-NC-VMAT plans (18.06 ± 2.17 Gy and 12.36 ± 2.12 Gy). The dose received by 0.1 cm

Indexed as

HemangiosarcomaKnowledge BasesRadiometryRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedScalpAdultAgedAutomationFemaleHumansMaleMiddle AgedRadiotherapy DosageAngiosarcoma of the scalpHyperArcKnowledge-based planningRapidPlanRare tumorTotal scalp irradiation

Identifiers

PMID42479382

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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.