SU‐GG‐T‐252: An Efficient Technique for Commissioning a Tissue Heterogeneity Correction Algorithm for Treatment Planning for Lung Cancer

W. Hall, T. Liu, Robin L Stern, Julian R Perks, C. Yang, M. Mathew, J. Purdy

Research output: Contribution to journalArticle

Abstract

Purpose: To establish a measurement protocol for commissioning lung heterogeneity correction using the Pinnacle3™ convolution/superposition algorithm based treatment planning system (TPS). Method and Materials: A phantom with lung density material was constructed to investigate differences between dose calculated using the Pinnacle3™ TPS and dose delivered using an Elekta™ Synergy™ linear accelerator. The phantom set‐up was 4cm solid water then 4cm lung phantom material (Gammex), then either no bolus, 1cm bolus, or 2cm bolus; then 4cm solid water. Point doses were calculated by placing points of interest (POIs) along the beam central axis at various depths. All dose distributions were calculated using the Pinnacle3™ adaptive convolve (AC) algorithm, for a 10×10cm2 AP beam (6MV and/or 15MV) @ 100 SSD and 200MU prescription. Ion chamber and/or MOSFET measurements were performed between bolus slabs for the bolus containing phantoms and POIs were generated to obtain calculated dose for each dosimeter position. In addition, a MapCheck device was placed under each phantom to measure 2D dose distributions for comparison against the calculated 2D planar dose map. Results: Agreement between calculated and measured dose using ion chamber was within ±1% for 19/23 measurements with a maximum difference of 3.23%. MOSFET measurements showed good agreement, as all measurements were within 3%. Evaluation of planar dose distribution with the MapCheck yielded a pass rate ranging from 93.2% to 98.5% based on 2% difference and 2mm distance to agreement. Conclusion: Pinnacle3™ TPS dose calculations using tissue heterogeneity showed excellent agreement with dose measured in a heterogeneous phantom using 3 different dosimeters. The measurement plan presented represents a simple, efficient, and accurate means for commissioning heterogeneous dose calculation algorithms for clinical use.

Original languageEnglish (US)
Pages (from-to)2783
Number of pages1
JournalMedical Physics
Volume35
Issue number6
DOIs
StatePublished - 2008

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Lung Neoplasms
Lung
Silver Sulfadiazine
Ions
Particle Accelerators
Water
Prescriptions
Equipment and Supplies
Radiation Dosimeters

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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SU‐GG‐T‐252 : An Efficient Technique for Commissioning a Tissue Heterogeneity Correction Algorithm for Treatment Planning for Lung Cancer. / Hall, W.; Liu, T.; Stern, Robin L; Perks, Julian R; Yang, C.; Mathew, M.; Purdy, J.

In: Medical Physics, Vol. 35, No. 6, 2008, p. 2783.

Research output: Contribution to journalArticle

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abstract = "Purpose: To establish a measurement protocol for commissioning lung heterogeneity correction using the Pinnacle3™ convolution/superposition algorithm based treatment planning system (TPS). Method and Materials: A phantom with lung density material was constructed to investigate differences between dose calculated using the Pinnacle3™ TPS and dose delivered using an Elekta™ Synergy™ linear accelerator. The phantom set‐up was 4cm solid water then 4cm lung phantom material (Gammex), then either no bolus, 1cm bolus, or 2cm bolus; then 4cm solid water. Point doses were calculated by placing points of interest (POIs) along the beam central axis at various depths. All dose distributions were calculated using the Pinnacle3™ adaptive convolve (AC) algorithm, for a 10×10cm2 AP beam (6MV and/or 15MV) @ 100 SSD and 200MU prescription. Ion chamber and/or MOSFET measurements were performed between bolus slabs for the bolus containing phantoms and POIs were generated to obtain calculated dose for each dosimeter position. In addition, a MapCheck device was placed under each phantom to measure 2D dose distributions for comparison against the calculated 2D planar dose map. Results: Agreement between calculated and measured dose using ion chamber was within ±1{\%} for 19/23 measurements with a maximum difference of 3.23{\%}. MOSFET measurements showed good agreement, as all measurements were within 3{\%}. Evaluation of planar dose distribution with the MapCheck yielded a pass rate ranging from 93.2{\%} to 98.5{\%} based on 2{\%} difference and 2mm distance to agreement. Conclusion: Pinnacle3™ TPS dose calculations using tissue heterogeneity showed excellent agreement with dose measured in a heterogeneous phantom using 3 different dosimeters. The measurement plan presented represents a simple, efficient, and accurate means for commissioning heterogeneous dose calculation algorithms for clinical use.",
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