Evidence map›Paper›PMID 42645749›Full record

ArticleRadiological physics and technology2026

Development and validation of a DICOM-based prediction model for instantaneous dose rate and delivery time in VMAT.

Hideharu Miura, Masahiro Hayata, Masahiro Kenjo, Yuji Murakami

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Article in Radiological physics and technology, 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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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

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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

4 authors.

Hideharu MiuraHiroshima High-Precision Radiotherapy Cancer Center, 3-2-2, Futabanosato, Higashi-ku, Hiroshima, 732-0057, Japan. miura@hiprac.jp.
Masahiro HayataHiroshima High-Precision Radiotherapy Cancer Center, 3-2-2, Futabanosato, Higashi-ku, Hiroshima, 732-0057, Japan.
Masahiro KenjoHiroshima High-Precision Radiotherapy Cancer Center, 3-2-2, Futabanosato, Higashi-ku, Hiroshima, 732-0057, Japan.
Yuji MurakamiHiroshima High-Precision Radiotherapy Cancer Center, 3-2-2, Futabanosato, Higashi-ku, Hiroshima, 732-0057, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed and validated a deterministic, constraint-based model for predicting instantaneous dose rates and total delivery times. A constraint-based Python model extracted treatment plan parameters from DICOM-RT Plan files and simulated the dose rate using three mechanical constraints: multileaf collimator (MLC) velocity, gantry rotation speed, and nominal dose rate, and incorporated geometric beam-off constraints such as avoidance sectors. Validation used high-resolution trajectory logs from a TrueBeam STx across 26 clinical VMAT arcs, including flattened and flattening-filter-free modes. Predicted dose rates agreed well with trajectory logs, with a mean absolute error of 60 MU/min and a root-mean-square error of 140 MU/min for the instantaneous dose rate. Predicted and actual delivery times showed a mean error of - 0.8 ± 0.8 s. This deterministic framework provides an accurate and efficient tool for pre-delivery plan assessment and clinical scheduling, as supported by its high agreement with trajectory log data.

Indexed as

DICOM-RT planDose rate modulationFlattening-filter-freeTrajectory logVolumetric modulated arc therapy

Identifiers

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Registered trials

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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.