Evidence map›Paper›PMID 42798152›Full record

ArticleJournal of applied clinical medical physics2026

SRS/SBRT commissioning process with a hybrid beam data model in new preconfigured CyberKnife system.

Mikoto Tamura, Yasumasa Nishimura, Tomohiro Matsuura, Yuta Inosaka, Yoshiyuki Sadahira, Ayano Akamine, Kyomi Inoue, Seiki Nishino, Hirokazu Mizuno, Iori Sumida and 1 more

Abstract read
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Article in Journal of applied clinical medical physics, 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mikoto TamuraDepartment of Radiation Therapy and Medical Physics, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Yasumasa NishimuraRadiation Therapy Center, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Tomohiro MatsuuraRadiation Therapy Center, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Yuta InosakaDepartment of Radiation Therapy and Medical Physics, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Yoshiyuki SadahiraDepartment of Radiation Therapy and Medical Physics, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Ayano AkamineDepartment of Radiation Therapy and Medical Physics, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Kyomi InoueDepartment of Radiation Therapy and Medical Physics, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Seiki NishinoDepartment of Radiation Therapy and Medical Physics, Izumiotsu Medical Center, Izumiotsu, Osaka, Japan.
Hirokazu MizunoAccuray Japan K.K., Otemachi, Chiyoda-ku, Tokyo, Japan.
Iori SumidaAccuray Japan K.K., Otemachi, Chiyoda-ku, Tokyo, Japan.
John M NollAccuray Inc., Sunnyvale, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA new preconfigured CyberKnife system was introduced to improve the SRS/SBRT commissioning efficiency. The vendor provides a reference beam data set, termed "beam data model (BDM)", and recommends its validation and combination with measurement data to develop a hybrid beam data model (h-BDM). However, the validation method by the user and the clinical acceptability with the h-BDM has not been established. PURPOSE: This study reports the first clinical validation of the BDM and aims to demonstrate the SRS/SBRT commissioning process with the h-BDM is clinically acceptable.

methodsThe BDM was validated by comparing with the measurements of tissue phantom ratios (TPRs), off-center ratios (OCRs), and output factors (OFs) for fixed and Iris collimators and MLC in CyberKnife S7 system. Dose difference (DD) and distance-to-agreement (DTA) between BDM and measurement data were assessed against predefined thresholds: DDs of 1.0% for TPRs; DDs of 1.0% at d

resultsDifferences between the BDM and measurement exceeded the specific thresholds for the OCRs with three largest MLC field sizes. In the single-beam validation, dose differences between measurements and calculations with h-BDM were within 2.0% for field sizes of > 10.0 mm, except up to 3.0% at 140 mm depth with MLC, and within 5.0% for field sizes of ≤10.0 mm. In PSQA with the h-BDMs, the point dose differences were within 3.0% and the γ pass rates (2%/2 mm and 3%/1 mm) were > 95.0% for all SRS/SBRT plans. The single-beam validation and PSQA results of the h-BDM were comparable to those of the conventional m-BDM.

conclusionsThe SRS/SBRT commissioning process with the proposed h-BDM provides a new clinically acceptable framework.

Indexed as

Lung NeoplasmsPhantoms, ImagingQuality Assurance, Health CareRadiosurgeryRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskParticle AcceleratorsRadiotherapy DosageRadiotherapy, Intensity-ModulatedCyberCommCyberKnifeHybrid beam data modelSRS/SBRT commissioning

Identifiers

PMID42798152
PMCPMC13615346

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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.