Quality Assurance for Multi-Institutional Clinical Trials

Purdy, James A.; Poortmans, Philip

doi:10.1007/174_2011_324

Cited by 1 publication

(2 citation statements)

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“…The purpose of QA for multi-institutional clinical trials is to ensure that participating institutions deliver prescribed radiation doses that are clinically comparable and consistent with the requirements of clinical trial protocols, resulting in a more robust validation of the outcomes of these trials [8, 9]. …”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the recent emergence of advanced technologies has drawn attention to the growing need for systematic quality assurance (QA) for routine clinical practice and multi-institutional clinical trials to enhance confidence about treatment quality and patient safety with available resources [ 6 , 7 ]. The purpose of QA for multi-institutional clinical trials is to ensure that participating institutions deliver prescribed radiation doses that are clinically comparable and consistent with the requirements of clinical trial protocols, resulting in a more robust validation of the outcomes of these trials [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Development and reproducibility evaluation of a Monte Carlo-based standard LINAC model for quality assurance of multi-institutional clinical trials

Usmani

Takegawa

Takashina

et al. 2014

Journal of Radiation Research

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Technical developments in radiotherapy (RT) have created a need for systematic quality assurance (QA) to ensure that clinical institutions deliver prescribed radiation doses consistent with the requirements of clinical protocols. For QA, an ideal dose verification system should be independent of the treatment-planning system (TPS). This paper describes the development and reproducibility evaluation of a Monte Carlo (MC)-based standard LINAC model as a preliminary requirement for independent verification of dose distributions. The BEAMnrc MC code is used for characterization of the 6-, 10- and 15-MV photon beams for a wide range of field sizes. The modeling of the LINAC head components is based on the specifications provided by the manufacturer. MC dose distributions are tuned to match Varian Golden Beam Data (GBD). For reproducibility evaluation, calculated beam data is compared with beam data measured at individual institutions. For all energies and field sizes, the MC and GBD agreed to within 1.0% for percentage depth doses (PDDs), 1.5% for beam profiles and 1.2% for total scatter factors (Scps.). Reproducibility evaluation showed that the maximum average local differences were 1.3% and 2.5% for PDDs and beam profiles, respectively. MC and institutions' mean Scps agreed to within 2.0%. An MC-based standard LINAC model developed to independently verify dose distributions for QA of multi-institutional clinical trials and routine clinical practice has proven to be highly accurate and reproducible and can thus help ensure that prescribed doses delivered are consistent with the requirements of clinical protocols.

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Section: Introductionmentioning

confidence: 99%