Literature DB >> 29070960

Validation of Dosimetric Leaf Gap (DLG) prior to its implementation in Treatment Planning System (TPS): TrueBeam™ millennium 120 leaf MLC.

Ravindra Shende1, Ganesh Patel2.   

Abstract

AIM: Objective of present study is to determine optimum value of DLG and its validation prior to being incorporated in TPS for Varian TrueBeam™ millennium 120 leaves MLC.
BACKGROUND: Partial transmission through the rounded leaf ends of the Multi Leaf Collimator (MLC) causes a conflict between the edges of the light field and radiation field. Parameter account for this partial transmission is called Dosimetric Leaf Gap (DLG). The complex high precession technique, such as Intensity Modulated Radiation Therapy (IMRT), entails the modeling of optimum value of DLG inside Eclipse Treatment Planning System (TPS) for precise dose calculation.
MATERIALS AND METHODS: Distinct synchronized uniformed extension of sweeping dynamic MLC leaf gap fields created by Varian MLC shaper software were use to determine DLG. DLG measurements performed with both 0.13 cc semi-flex ionization chamber and 2D-Array I-Matrix were used to validate the DLG; similarly, values of DLG from TPS were estimated from predicted dose. Similar mathematical approaches were employed to determine DLG from delivered and TPS predicted dose. DLG determined from delivered dose measured with both ionization chamber (DLGIon) and I-Matrix (DLGI-Matrix) compared with DLG estimate from TPS predicted dose (DLGTPS). Measurements were carried out for all available 6MV, 10MV, 15MV, 6MVFFF and 10MVFFF beam energies.
RESULTS: Maximum and minimum DLG deviation between measured and TPS calculated DLG was found to be 0.2 mm and 0.1 mm, respectively. Both of the measured DLGs (DLGIon and DLGI-Matrix) were found to be in a very good agreement with estimated DLG from TPS (DLGTPS).
CONCLUSIONS: Proposed method proved to be helpful in verifying and validating the DLG value prior to its clinical implementation in TPS.

Keywords:  Dosimetric Leaf Gap; I-Matrix; MLC transmission; Treatment Planning System; Validation

Year:  2017        PMID: 29070960      PMCID: PMC5651554          DOI: 10.1016/j.rpor.2017.09.001

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  18 in total

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