Results 251 to 260 of about 25,193 (285)

Plan Complexity Metric Based Patient Specific Quality Assurance Outcome Prediction Across Two Machines. [PDF]

J Med Phys
Joseph S, Kumar PR, Bhasi S, Thankachan NM, Swathi R, Anilkumar K.   +5 more
europepmc   +1 more source

Quantitative evaluation of the effect of anatomical changes on the results of in vivo dosimetry during radiation therapy in the thoracic region. [PDF]

J Appl Clin Med Phys
Tanaka K, Komori M.
europepmc   +1 more source

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Unbiased evaluation of predicted gamma passing rate by an event‐mixing technique

Medical Physics, 2023
AbstractBackgroundPredicting models of the gamma passing rate (GPR) have been studied to substitute the measurement‐based gamma analysis. Since these studies used data from different radiotherapy systems comprising TPS, linear accelerator, and detector array, it has been difficult to compare the performances of the predicting models among institutions ...
Akito S, Koganezawa, Takaaki, Matsuura, Daisuke, Kawahara, Takeo, Nakashima, Eiji, Shiba, Yuji, Murakami, Yasushi, Nagata   +6 more
openaire   +2 more sources

Are gamma passing rate and dose–volume histogram QA metrics correlated?

Medical Physics, 2021
AbstractPurposeThe quality of a measured distribution of dose delivered against its corresponding radiotherapy plan is routinely assessed by gamma index (GI) and dose–volume histogram (DVH) metrics. Any correlation between error detection rates, as based on either of these approaches, while argued, has never been convincingly demonstrated.
Baran, M, Tabor, Z, Monika Tulik, Kabat, D, Rzecki, K, Sośnicki, T, Waligórski, M   +6 more
openaire   +2 more sources

A study on the effect of detector resolution on gamma index passing rate for VMAT and IMRT QA

Journal of Applied Clinical Medical Physics, 2018
AbstractThe main objectives of this study are to (1) analyze the sensitivity of various gamma index passing rates using different types of detectors having different resolutions and (2) investigate the sensitivity of various gamma criteria in intensity‐modulated radiation therapy (IMRT) and volumetrically modulated arc therapy (VMAT) quality assurance (
Woon, WuiAnn, Ravindran, Paul B, Ekayanake, Piyasiri, S, Vikraman, Lim, Yivonne YF, Khalid, Jamsari   +5 more
exaly   +3 more sources

Unbiased evaluation of predicted gamma passing rate by an event‐mixing technique

Medical Physics
Background: Predicting models of the gamma passing rate (GPR) have been studied to substitute the measurement-based gamma analysis. Since these studies used data from different radiotherapy systems comprising TPS, linear accelerator, and detector array, it has been difficult to compare the performances of the predicting models among institutions with ...
Akito Saito, Daisuke Kawahara, Takeo Nakashima   +2 more
exaly   +1 more source

Correlation between gamma passing rate and complexity of IMRT plan due to MLC position errors

Physica Medica, 2018
This study evaluates the correlation between the susceptibility of the γ passing rate of IMRT plans to the multi-leaf collimator (MLC) position errors and a quantitative plan complexity metric.Twenty patients were selected for this study. For each patient, two IMRT plans were generated using sliding window and step-&-shoot techniques, respectively ...
Lina Feng, Yanling Bai
exaly   +3 more sources

Machine learning-based ensemble prediction model for the gamma passing rate of VMAT-SBRT plan

Physica Medica
The purpose of this study was to accurately predict or classify the beam GPR with an ensemble model by using machine learning for SBRT(VMAT) plans.A total of 128 SBRT VMAT plans with 330 arc beams were retrospectively selected, and 216 radiomics and 34 plan complexity features were calculated for each arc beam.
Lecheng Jia, Sijuan Huang, Li Chen
exaly   +3 more sources

Improvement of prediction and classification performance for gamma passing rate by using plan complexity and dosiomics features

Radiotherapy and Oncology, 2020
The purpose of this study was to predict and classify the gamma passing rate (GPR) value by using new features (3D dosiomics features and combined with plan and dosiomics features) together with a machine learning technique for volumetric modulated arc therapy (VMAT) treatment plans.A total of 888 patients who underwent VMAT were enrolled comprising ...
Hideaki Hirashima, Tomohiro Ono, Mitsuhiro Nakamura, Yuki Miyabe, Nobutaka Mukumoto, Hiraku Iramina, Takashi Mizowaki   +6 more
openaire   +2 more sources