Articles producció científica> Ciències Mèdiques Bàsiques

A radiotherapy community data-driven approach to determine which complexity metrics best predict the impact of atypical TPS beam modeling on clinical dose calculation accuracy.

  • Identification data

    Identifier: imarina:9370820
  • Authors:

    Brooks FMD
    Glenn MC
    Hernandez V
    Saez J
    Mehrens H
    Pollard-Larkin JM
    Howell RM
    Peterson CB
    Nelson CL
    Clark CH
    Kry SF
    Journal Of Applied Clinical Medical Physics
    10.1002/acm2.14318
    Journal Of Applied Clinical Medical Physics. 25 (5): e14318-
  • Others:

    Author, as appears in the article.: Brooks FMD; Glenn MC; Hernandez V; Saez J; Mehrens H; Pollard-Larkin JM; Howell RM; Peterson CB; Nelson CL; Clark CH; Kry SF
    Department: Ciències Mèdiques Bàsiques
    URV's Author/s: Hernandez Masgrau, Victor
    Keywords: Vmat Radiotherapy, intensity-modulated Radiotherapy planning, computer-assisted Radiotherapy dosage Quality assurance Particle accelerators Organs at risk Neoplasms Mlc Imrt Humans Dose calculation accuracy Complexity metrics Beam modeling Algorithms
    Abstract: To quantify the impact of treatment planning system beam model parameters, based on the actual spread in radiotherapy community data, on clinical treatment plans and determine which complexity metrics best describe the impact beam modeling errors have on dose accuracy. Ten beam modeling parameters for a Varian accelerator were modified in RayStation to match radiotherapy community data at the 2.5, 25, 50, 75, and 97.5 percentile levels. These modifications were evaluated on 25 patient cases, including prostate, non-small cell lung, H&N, brain, and mesothelioma, generating 1,000 plan perturbations. Differences in the mean planned dose to clinical target volumes (CTV) and organs at risk (OAR) were evaluated with respect to the planned dose using the reference (50th-percentile) parameter values. Correlation between CTV dose differences, and 18 different complexity metrics were evaluated using linear regression; R-squared values were used to determine the best metric. Perturbations to MLC offset and transmission parameters demonstrated the greatest changes in dose: up to 5.7% in CTVs and 16.7% for OARs. More complex clinical plans showed greater dose perturbation with atypical beam model parameters. The mean MLC Gap and Tongue & Groove index (TGi) complexity metrics best described the impact of TPS beam modeling variations on clinical dose delivery across all anatomical sites; similar, though not identical, trends between complexity and dose perturbation were observed among all sites. Extreme values for MLC offset and MLC transmission beam modeling parameters were found to most substantially impact the dose distribution of clinical plans and careful attention should be given to these beam modeling parameters. The mean MLC Gap and TGi complexity metrics were best suited to identifying clinical plans most sensitive to beam modeling errors; this could help provide focus for clinical QA in identifying unacceptable plans.
    Thematic Areas: Radiology, nuclear medicine and imaging Radiology, nuclear medicine & medical imaging Radiation Medicine (miscellaneous) Medicina ii Medicina i Interdisciplinar Instrumentation Ensino Engenharias iv Engenharias ii Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: victor.hernandez@urv.cat
    Author identifier: 0000-0003-3770-8486
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://aapm.onlinelibrary.wiley.com/doi/10.1002/acm2.14318
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Journal Of Applied Clinical Medical Physics. 25 (5): e14318-
    APA: Brooks FMD; Glenn MC; Hernandez V; Saez J; Mehrens H; Pollard-Larkin JM; Howell RM; Peterson CB; Nelson CL; Clark CH; Kry SF (2024). A radiotherapy community data-driven approach to determine which complexity metrics best predict the impact of atypical TPS beam modeling on clinical dose calculation accuracy.. Journal Of Applied Clinical Medical Physics, 25(5), e14318-. DOI: 10.1002/acm2.14318
    Article's DOI: 10.1002/acm2.14318
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2024
    Publication Type: Journal Publications
  • Keywords:

    Instrumentation,Medicine (Miscellaneous),Radiation,Radiology, Nuclear Medicine & Medical Imaging,Radiology, Nuclear Medicine and Imaging
    Vmat
    Radiotherapy, intensity-modulated
    Radiotherapy planning, computer-assisted
    Radiotherapy dosage
    Quality assurance
    Particle accelerators
    Organs at risk
    Neoplasms
    Mlc
    Imrt
    Humans
    Dose calculation accuracy
    Complexity metrics
    Beam modeling
    Algorithms
    Radiology, nuclear medicine and imaging
    Radiology, nuclear medicine & medical imaging
    Radiation
    Medicine (miscellaneous)
    Medicina ii
    Medicina i
    Interdisciplinar
    Instrumentation
    Ensino
    Engenharias iv
    Engenharias ii
    Astronomia / física
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