Program Information
RadioTherapy Plan Evaluation Tool (RTPET)
TK Lee1*, (1) ICT Radiotherapy, Wharton, NJ
Presentations
SU-I-GPD-J-82 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose: To develop the software tool for the purpose of radiotherapy treatment plan evaluation (RTPET) and comparisons, and it calculates dose volume histogram, dose statistics, conformity index, dose homogeneity index, and radiobiological indices, such as tumor control probability (TCP), normal tissue complication probability (NTCP), Complication-Free TCP (CFTCP), and second cancer complication probability (SCCP) as evaluation metrics for the plans of external beam radiotherapy (EBRT), proton therapy, carbon therapy, HDR/LDR brachytherapy and permanent radioactive seed implant.
Methods: Various models of TCP and NTCP were compared for use in the RTPET. The TCP estimation model uses the LQ model for survival fraction with radiation-induced DNA damage repair, and radiation-induced cell repopulation effects. The NTCP model uses the LKB (Lyman-Kutcher-Burman) probit model and/or volume-seriality model (originated from relative seriality model) and it employs QUANTEC parameters for various organs/cases. The SCCP model combines the formulas and parameters of Organ Equivalent Dose and aging effect that were proposed by Schneider et al.. The user can also calculate the estimation of lifetime and time dependent probability of second cancer incidence.
Results: The software tool uses the treatment plans and DVHs in Dicom RT, Dicom RT ION, RTOG and ascii formats as inputs. It can deal with any fractionation schemes including normal fractionation, SRS, SBRT as well as CHART with and without weekend breaks. For radiobiological evaluation, BED concept with radiation sensitivity, repair and repopulation effects was used to implement fractionation and weekend effects. As a result of plan evaluation it presents differential DVHs, cumulative DVHs, TCPs, NTCPs as well as calculation output file in tabulated format.
Conclusion: The RTPET has been successfully employed as an explicit treatment plan evaluation and comparison tool, and can be further used for the plans with new state-of-the-art technologies as well as for physical / radiobiological evaluation of plan robustness.
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