Articles producció científica> Ciències Mèdiques Bàsiques

Multi-institutional investigation into the robustness of intra-cranial multi-target stereotactic radiosurgery plans to delivery errors.

  • Identification data

    Identifier: imarina:9370828
  • Authors:

    May L
    Hardcastle N
    Hernandez V
    Saez J
    Rosenfeld A
    Poder J
  • Others:

    Author, as appears in the article.: May L; Hardcastle N; Hernandez V; Saez J; Rosenfeld A; Poder J
    Department: Ciències Mèdiques Bàsiques
    URV's Author/s: Hernandez Masgrau, Victor
    Keywords: Brain neoplasms Delivery errors Humans Intra-cranial stereotactic radiosurgery Linear accelerator-based radiotherapy Organs at risk Plan complexity Plan robustness Radiometry Radiosurgery Radiotherapy dosage Radiotherapy planning, computer-assisted Radiotherapy, intensity-modulated
    Abstract: BackgroundThe use of modulated techniques for intra-cranial stereotactic radiosurgery (SRS) results in highly modulated fields with small apertures, which may be susceptible to uncertainties in the delivery device.PurposeThis study aimed to quantify the impact of simulated delivery errors on treatment plan dosimetry and how this is affected by treatment planning system (TPS), plan geometry, delivery technique, and plan complexity. A beam modelling error was also included as context to the dose uncertainties due to treatment delivery errors.MethodsDelivery errors were assessed for multiple-target brain SRS plans obtained through the Trans-Tasman Radiation Oncology Group (TROG) international treatment planning challenge (2018). The challenge dataset consisted of five intra-cranial targets, each with a prescription of 20 Gy. Of the final dataset of 54 plans, 51 were created using the volumetric modulated arc therapy (VMAT) technique and three used intensity modulated arc therapy (IMRT). Thirty-five plans were from the Varian Eclipse TPS, 17 from Elekta Monaco TPS, and one plan each from RayStation and Philips Pinnacle TPS. The errors introduced included: monitor unit calibration errors, multi-leaf collimator (MLC) bank offset, single MLC leaf offset, couch rotations, and collimator rotations. Dosimetric leaf gap (DLG) error was also included as a beam modelling error. Dose to targets was assessed via dose covering 98% of planning target volume (PTV) (D98%), dose covering 2% of PTV (D2%), and dose covering 99% of gross tumor volume (GTV) (D99%). Dose to organs at risk (OARs) was assessed using the volume of normal brain receiving 12 Gy (V12Gy), mean dose to normal brain, and maximum dose covering 0.03cc brainstem (D0.03cc). Plan complexity was also assessed via edge metric, modulation complexity score (MCS), mean MLC gap, mean MLC speed, and plan modulation (PM).ResultsPTV D98% showed high robustness on average to most errors with the exception of a bank shift of 1.0 mm and large rotational errors ≥1.0° for either the couch or collimator. However, in some cases, errors close to or within generally accepted machine tolerances resulted in clinically relevant impacts. The greatest impact upon normal brain V12Gy, mean dose to normal brain, and D0.03cc brainstem was found for DLG error in alignment with other recent studies. All delivery errors had on average a minimal impact across these parameters. Comparing plans from the Monaco TPS and the Eclipse TPS, showed a lesser increase to V12Gy, mean dose to normal brain, and D0.03cc brainstem for Monaco plans (p < 0.01) when DLG error was simulated. Monaco plans also correlated to lower plan complexity. Using Spearman's correlation coefficient (r) a strong negative correlation (r ≤ -0.8) was found between the mean MLC gap and dose to OARs for DLG errors.ConclusionsReducing MLC complexity and using larger mean MLC gaps is recommended to improve plan robustness and reduce sensitivity to delivery and modelling errors. For cases in which the calculated dose distribution or dose indices are close to the clinically acceptable limits, this is especially important.
    Thematic Areas: Antropologia / arqueologia Astronomia / física Biophysics Biotecnología Ciência da computação Ciências biológicas i Ciências biológicas ii Ciências biológicas iii Engenharias ii Engenharias iv General medicine Interdisciplinar Medicina i Medicina ii Medicine (miscellaneous) Radiology, nuclear medicine & medical imaging Radiology, nuclear medicine and imaging
    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: 2024-06-22
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.16907
    Papper original source: Medical Physics. 51 (2): 910-921
    APA: May L; Hardcastle N; Hernandez V; Saez J; Rosenfeld A; Poder J (2024). Multi-institutional investigation into the robustness of intra-cranial multi-target stereotactic radiosurgery plans to delivery errors.. Medical Physics, 51(2), 910-921. DOI: 10.1002/mp.16907
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1002/mp.16907
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2024
    Publication Type: Journal Publications
  • Keywords:

    Biophysics,Medicine (Miscellaneous),Radiology, Nuclear Medicine & Medical Imaging,Radiology, Nuclear Medicine and Imaging
    Brain neoplasms
    Delivery errors
    Humans
    Intra-cranial stereotactic radiosurgery
    Linear accelerator-based radiotherapy
    Organs at risk
    Plan complexity
    Plan robustness
    Radiometry
    Radiosurgery
    Radiotherapy dosage
    Radiotherapy planning, computer-assisted
    Radiotherapy, intensity-modulated
    Antropologia / arqueologia
    Astronomia / física
    Biophysics
    Biotecnología
    Ciência da computação
    Ciências biológicas i
    Ciências biológicas ii
    Ciências biológicas iii
    Engenharias ii
    Engenharias iv
    General medicine
    Interdisciplinar
    Medicina i
    Medicina ii
    Medicine (miscellaneous)
    Radiology, nuclear medicine & medical imaging
    Radiology, nuclear medicine and imaging
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