SlideShare ist ein Scribd-Unternehmen logo
1 von 23
Quality Assurance Utilizing 3D Dose
Reconstruction for Stereotactic Lung Radiotherapy
                        James Durgin, Michael Weldon,
                        Nilendu Gupta

                        Ohio River Valley AAPM
                        Spring Educational Symposium
                        March 5, 2011
Overview of Lung SBRT Program

 OSU Experience                    Research Project
   Began in 2008                              41 plans
   53 lesions, 43 patients                    Both recurrences in
   Mean/Mode Rx: 9GyX5                         data set
   1 biopsy-proven                            Non-IMRT
    recurrence                                 No wedges
   1 imaging-based                            All heterogeneous
    recurrence                                  calculations using AAA
   Low toxicity profile                        in Eclipse
                                               6MV Siemens Oncor
                                                accelerator


                          The Ohio State University Comprehensive Cancer Center –
                          Arthur G. James Cancer Hospital and Richard J. Solove
                          Research Institute                                        2
Compass Overview


         Plan Data



 Backprojected Measurements




  Forward Calculated Dose




                              The Ohio State University Comprehensive Cancer Center –
                              Arthur G. James Cancer Hospital and Richard J. Solove
                              Research Institute                                        3
Purpose
How effective are current QA procedures?
Clinical Challenges

                                      Point calculations are
                                       less than ideal
                                                  Inhomogeneities
                                                  Scatter
                                                  Small field sizes
                                      Detector arrays are
                                       calculated for
                                       homogenous materials
                                      Effect of multiple entry
                                       points unknown


                      The Ohio State University Comprehensive Cancer Center –
                      Arthur G. James Cancer Hospital and Richard J. Solove
                      Research Institute                                        5
Methods
Retrospective point calculations
Forward calculations with a collapsed cone algorithm
Backprojected 3D reconstructed dose
Point Calculation Analysis

 Accessed point calculations in patient chart
 RadCalc software
 Utilized equivalent path length, field size scaling
 Calculated non-weighted field average



                                                                                     Avg= -0.29%




                           The Ohio State University Comprehensive Cancer Center –
                           Arthur G. James Cancer Hospital and Richard J. Solove
                           Research Institute                                                      7
Secondary Forward Calculation

 IBA’s Compass
  software           TPS Dose                                 Forward Calculated Dose
 Collapsed cone
  algorithm
 Incorporates
  heterogeneity
  calculations
 Subject to
  commissioning
  differences
                   DVH Comparison                                       Dose Difference Map

                       The Ohio State University Comprehensive Cancer Center –
                       Arthur G. James Cancer Hospital and Richard J. Solove
                       Research Institute                                                     8
Compass Beam Model Commissioning
 Same input data/physicist commissioning as Eclipse
 Good agreement down to 3X3cm in solid water
            TPS Dose       Forward Calculated Dose




         DVH Comparison          Dose Difference Map
                          The Ohio State University Comprehensive Cancer Center –
                          Arthur G. James Cancer Hospital and Richard J. Solove
                          Research Institute                                        9
Backprojected 3D Dose
 IBA’s Compass software, Matrixx hardware used
 Mean PTV dose and DVH statistics analyzed
               TPS Dose                                     Backprojected Dose




              DVH Comparison                           Dose Difference Map
                          The Ohio State University Comprehensive Cancer Center –
                          Arthur G. James Cancer Hospital and Richard J. Solove
                          Research Institute                                        10
Results
Comparison Methods

 Retrospective analysis using point measurements
    Average point calculation vs. Eclipse prescription
 Comparison of calculation differences
    Forward calculation vs. Eclipse for mean PTV
 Measured backprojected dose compared to TPS
    Backprojection vs. Eclipse for mean PTV
 Within Compass differences
    Backprojected vs. forward calculation for mean PTV




                            The Ohio State University Comprehensive Cancer Center –
                            Arthur G. James Cancer Hospital and Richard J. Solove
                            Research Institute                                        12
Percent Change from Eclipse Mean PTV
                  35

                                                                                              Point Calculation to TPS
                  30



                  25
Number of Plans




                  20



                  15



                  10



                   5



                   0
                       -5 to -4   -4 to -3   -3 to -2   -2 to -1   -1 to 0   0 to +1         +1 to +2        +2 to +3        +3 to +4   +4 to +5   +5 to +6
                                                                        Percent Difference




                                                                             The Ohio State University Comprehensive Cancer Center –
                                                                             Arthur G. James Cancer Hospital and Richard J. Solove
                                                                             Research Institute                                                               13
Percent Change from Eclipse Mean PTV
                  35

                                                                                              Point Calculation to TPS
                  30

                                                                                              Forward Calculated in Compass to TPS
                  25
Number of Plans




                  20



                  15



                  10



                   5



                   0
                       -5 to -4   -4 to -3   -3 to -2   -2 to -1   -1 to 0   0 to +1        +1 to +2         +2 to +3        +3 to +4   +4 to +5   +5 to +6
                                                                        Percent Difference



                                                                             The Ohio State University Comprehensive Cancer Center –
                                                                             Arthur G. James Cancer Hospital and Richard J. Solove
                                                                             Research Institute                                                               14
Percent Change from Eclipse Mean PTV
                  35

                                                                                              Point Calculation to TPS
                  30

                                                                                              Forward Calculated in Compass to TPS
                  25

                                                                                              Backprojected to TPS
Number of Plans




                  20



                  15



                  10



                   5



                   0
                       -5 to -4   -4 to -3   -3 to -2   -2 to -1   -1 to 0   0 to +1         +1 to +2        +2 to +3         +3 to +4   +4 to +5   +5 to +6
                                                                        Percent Difference




                                                                             The Ohio State University Comprehensive Cancer Center –
                                                                             Arthur G. James Cancer Hospital and Richard J. Solove
                                                                             Research Institute                                                                15
Percent Change from Eclipse Mean PTV
                  35

                                                                                               Point Calculation to TPS
                  30

                                                                                               Forward Calculated in Compass to TPS
                  25

                                                                                               Backprojected to TPS
Number of Plans




                  20

                                                                                               Backprojected to Forward Calculated
                  15



                  10



                   5



                   0
                       -5 to -4   -4 to -3   -3 to -2   -2 to -1   -1 to 0   0 to +1        +1 to +2         +2 to +3        +3 to +4   +4 to +5   +5 to +6
                                                                        Percent Difference




                                                                             The Ohio State University Comprehensive Cancer Center –
                                                                             Arthur G. James Cancer Hospital and Richard J. Solove
                                                                             Research Institute                                                               16
Mean PTVs Aren’t the Whole Story Though




                   The Ohio State University Comprehensive Cancer Center –
                   Arthur G. James Cancer Hospital and Richard J. Solove
                   Research Institute                                        17
OAR/Coverage Statistics for Backprojected
 Dose Compared to Eclipse

 OARs receiving >20% of Rx, dose maximum analyzed
     Max dose for 2 spinal cord structures increased >5%
     Max dose for 1 esophagus structure increased >5%
     Max dose for 1 heart structure increased >5%
     Max dose for 1 brachial plexus structure increased >5%
     Max dose for 0 skin structures increased >5%
 Coverage of 95% isodose line
   2 PTVs experienced a drop in 95% coverage of more
    than 5%



                             The Ohio State University Comprehensive Cancer Center –
                             Arthur G. James Cancer Hospital and Richard J. Solove
                             Research Institute                                        18
Conclusion
Summary

 QA is a process of constant improvement
 Ultimately TPS determines dose
 What to trust determines the success of QA
 Measurements/reconstructed dose have value, but
  resources must be used wisely
 3D reconstructed dose provides variability analysis
  for plans that pass traditional QA procedures




                          The Ohio State University Comprehensive Cancer Center –
                          Arthur G. James Cancer Hospital and Richard J. Solove
                          Research Institute                                        20
The Ohio State University Comprehensive Cancer Center –
The OhioG. James Cancer Hospital and Richard J.Center –
  Arthur State University Comprehensive Cancer Solove
Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
  Research Institute                                                       21
References

 Per-beam, Planar IMRT QA Passing Rates Do Not
  Predict Clinically Relevant Patient Dose Errors, 2011
 Comparison of DVH data from multiple radiotherapy
  treatment planning systems, 2010
 US Patent Application: Radiation Therapy Dose
  Perturbation System and Method, 2009




                          The Ohio State University Comprehensive Cancer Center –
                          Arthur G. James Cancer Hospital and Richard J. Solove
                          Research Institute                                        22
Bonus 1: 3DVH
 Sun Nuclear software using dose error kernels
 Compared Compass to TPS differences >3% for
  mean PTV
                                                Percent Change Between QA Methods
                     35

                                                                          3DVH Measured to TPS
                     30

                                                                          Compass Measured to Forward Calculated
                     25
   Number of Plans




                                                                          Compass Measured to TPS
                     20


                     15


                     10


                      5


                      0
                          -5 to -4   -4 to -3    -3 to -2   -2 to -1   -1 to 0     0 to +1   +1 to +2              +2 to +3          +3 to +4   +4 to +5   +5 to +6
                                                                                 %Difference

                                                                           The Ohio State University Comprehensive Cancer Center –
                                                                           Arthur G. James Cancer Hospital and Richard J. Solove
                                                                           Research Institute                                                                         23

Weitere ähnliche Inhalte

Ähnlich wie Ohio River Valley Spring 2011

1Big Data Analytics forHealthcareChandan K. ReddyD.docx
1Big Data Analytics forHealthcareChandan K. ReddyD.docx1Big Data Analytics forHealthcareChandan K. ReddyD.docx
1Big Data Analytics forHealthcareChandan K. ReddyD.docxaulasnilda
 
Team 5 imputing_medical_missing_data_ga approach_preseatation
Team 5 imputing_medical_missing_data_ga approach_preseatationTeam 5 imputing_medical_missing_data_ga approach_preseatation
Team 5 imputing_medical_missing_data_ga approach_preseatationNafiz Ishtiaque Ahmed
 
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...cambridgeWD
 
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...cambridgeWD
 
Multivariate sample similarity measure for feature selection with a resemblan...
Multivariate sample similarity measure for feature selection with a resemblan...Multivariate sample similarity measure for feature selection with a resemblan...
Multivariate sample similarity measure for feature selection with a resemblan...IJECEIAES
 
Health economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development processHealth economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development processcheweb1
 
Topic -Analysis of Patients specific Quality Assurance of IMRT/VMAT
Topic -Analysis of Patients specific Quality Assurance of IMRT/VMATTopic -Analysis of Patients specific Quality Assurance of IMRT/VMAT
Topic -Analysis of Patients specific Quality Assurance of IMRT/VMATRajeev Kumar Pandit
 
Automated Cervicography Using a Machine Learning Classifier
Automated Cervicography Using a Machine Learning ClassifierAutomated Cervicography Using a Machine Learning Classifier
Automated Cervicography Using a Machine Learning ClassifierMobileODT
 
20081206 Biostatistics
20081206 Biostatistics20081206 Biostatistics
20081206 BiostatisticsChung-Han Yang
 
coad_machine_learning
coad_machine_learningcoad_machine_learning
coad_machine_learningFord Sleeman
 
Towards Replicable and Genereralizable Genomic Prediction Models
Towards Replicable and Genereralizable Genomic Prediction ModelsTowards Replicable and Genereralizable Genomic Prediction Models
Towards Replicable and Genereralizable Genomic Prediction ModelsLevi Waldron
 
2013 machine learning_choih
2013 machine learning_choih2013 machine learning_choih
2013 machine learning_choihHongyoon Choi
 
Extending A Trial’s Design Case Studies Of Dealing With Study Design Issues
Extending A Trial’s Design Case Studies Of Dealing With Study Design IssuesExtending A Trial’s Design Case Studies Of Dealing With Study Design Issues
Extending A Trial’s Design Case Studies Of Dealing With Study Design IssuesnQuery
 

Ähnlich wie Ohio River Valley Spring 2011 (20)

Vita
VitaVita
Vita
 
The Lachman Test
The Lachman TestThe Lachman Test
The Lachman Test
 
WyattPresentationDraft2
WyattPresentationDraft2WyattPresentationDraft2
WyattPresentationDraft2
 
1Big Data Analytics forHealthcareChandan K. ReddyD.docx
1Big Data Analytics forHealthcareChandan K. ReddyD.docx1Big Data Analytics forHealthcareChandan K. ReddyD.docx
1Big Data Analytics forHealthcareChandan K. ReddyD.docx
 
Team 5 imputing_medical_missing_data_ga approach_preseatation
Team 5 imputing_medical_missing_data_ga approach_preseatationTeam 5 imputing_medical_missing_data_ga approach_preseatation
Team 5 imputing_medical_missing_data_ga approach_preseatation
 
Priyakant_Author_IJTLD
Priyakant_Author_IJTLDPriyakant_Author_IJTLD
Priyakant_Author_IJTLD
 
Luc Rotenberg : Digital Breast Tomosynthesis
Luc Rotenberg : Digital Breast TomosynthesisLuc Rotenberg : Digital Breast Tomosynthesis
Luc Rotenberg : Digital Breast Tomosynthesis
 
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
 
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterpri...
 
Multivariate sample similarity measure for feature selection with a resemblan...
Multivariate sample similarity measure for feature selection with a resemblan...Multivariate sample similarity measure for feature selection with a resemblan...
Multivariate sample similarity measure for feature selection with a resemblan...
 
Sof stat issues_pro
Sof stat issues_proSof stat issues_pro
Sof stat issues_pro
 
Health economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development processHealth economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development process
 
Topic -Analysis of Patients specific Quality Assurance of IMRT/VMAT
Topic -Analysis of Patients specific Quality Assurance of IMRT/VMATTopic -Analysis of Patients specific Quality Assurance of IMRT/VMAT
Topic -Analysis of Patients specific Quality Assurance of IMRT/VMAT
 
Inverse Planning
Inverse PlanningInverse Planning
Inverse Planning
 
Automated Cervicography Using a Machine Learning Classifier
Automated Cervicography Using a Machine Learning ClassifierAutomated Cervicography Using a Machine Learning Classifier
Automated Cervicography Using a Machine Learning Classifier
 
20081206 Biostatistics
20081206 Biostatistics20081206 Biostatistics
20081206 Biostatistics
 
coad_machine_learning
coad_machine_learningcoad_machine_learning
coad_machine_learning
 
Towards Replicable and Genereralizable Genomic Prediction Models
Towards Replicable and Genereralizable Genomic Prediction ModelsTowards Replicable and Genereralizable Genomic Prediction Models
Towards Replicable and Genereralizable Genomic Prediction Models
 
2013 machine learning_choih
2013 machine learning_choih2013 machine learning_choih
2013 machine learning_choih
 
Extending A Trial’s Design Case Studies Of Dealing With Study Design Issues
Extending A Trial’s Design Case Studies Of Dealing With Study Design IssuesExtending A Trial’s Design Case Studies Of Dealing With Study Design Issues
Extending A Trial’s Design Case Studies Of Dealing With Study Design Issues
 

Ohio River Valley Spring 2011

  • 1. Quality Assurance Utilizing 3D Dose Reconstruction for Stereotactic Lung Radiotherapy James Durgin, Michael Weldon, Nilendu Gupta Ohio River Valley AAPM Spring Educational Symposium March 5, 2011
  • 2. Overview of Lung SBRT Program  OSU Experience  Research Project  Began in 2008  41 plans  53 lesions, 43 patients  Both recurrences in  Mean/Mode Rx: 9GyX5 data set  1 biopsy-proven  Non-IMRT recurrence  No wedges  1 imaging-based  All heterogeneous recurrence calculations using AAA  Low toxicity profile in Eclipse  6MV Siemens Oncor accelerator The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 2
  • 3. Compass Overview Plan Data Backprojected Measurements Forward Calculated Dose The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 3
  • 4. Purpose How effective are current QA procedures?
  • 5. Clinical Challenges  Point calculations are less than ideal  Inhomogeneities  Scatter  Small field sizes  Detector arrays are calculated for homogenous materials  Effect of multiple entry points unknown The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 5
  • 6. Methods Retrospective point calculations Forward calculations with a collapsed cone algorithm Backprojected 3D reconstructed dose
  • 7. Point Calculation Analysis  Accessed point calculations in patient chart  RadCalc software  Utilized equivalent path length, field size scaling  Calculated non-weighted field average Avg= -0.29% The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 7
  • 8. Secondary Forward Calculation  IBA’s Compass software TPS Dose Forward Calculated Dose  Collapsed cone algorithm  Incorporates heterogeneity calculations  Subject to commissioning differences DVH Comparison Dose Difference Map The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 8
  • 9. Compass Beam Model Commissioning  Same input data/physicist commissioning as Eclipse  Good agreement down to 3X3cm in solid water TPS Dose Forward Calculated Dose DVH Comparison Dose Difference Map The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 9
  • 10. Backprojected 3D Dose  IBA’s Compass software, Matrixx hardware used  Mean PTV dose and DVH statistics analyzed TPS Dose Backprojected Dose DVH Comparison Dose Difference Map The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 10
  • 12. Comparison Methods  Retrospective analysis using point measurements  Average point calculation vs. Eclipse prescription  Comparison of calculation differences  Forward calculation vs. Eclipse for mean PTV  Measured backprojected dose compared to TPS  Backprojection vs. Eclipse for mean PTV  Within Compass differences  Backprojected vs. forward calculation for mean PTV The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 12
  • 13. Percent Change from Eclipse Mean PTV 35 Point Calculation to TPS 30 25 Number of Plans 20 15 10 5 0 -5 to -4 -4 to -3 -3 to -2 -2 to -1 -1 to 0 0 to +1 +1 to +2 +2 to +3 +3 to +4 +4 to +5 +5 to +6 Percent Difference The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 13
  • 14. Percent Change from Eclipse Mean PTV 35 Point Calculation to TPS 30 Forward Calculated in Compass to TPS 25 Number of Plans 20 15 10 5 0 -5 to -4 -4 to -3 -3 to -2 -2 to -1 -1 to 0 0 to +1 +1 to +2 +2 to +3 +3 to +4 +4 to +5 +5 to +6 Percent Difference The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 14
  • 15. Percent Change from Eclipse Mean PTV 35 Point Calculation to TPS 30 Forward Calculated in Compass to TPS 25 Backprojected to TPS Number of Plans 20 15 10 5 0 -5 to -4 -4 to -3 -3 to -2 -2 to -1 -1 to 0 0 to +1 +1 to +2 +2 to +3 +3 to +4 +4 to +5 +5 to +6 Percent Difference The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 15
  • 16. Percent Change from Eclipse Mean PTV 35 Point Calculation to TPS 30 Forward Calculated in Compass to TPS 25 Backprojected to TPS Number of Plans 20 Backprojected to Forward Calculated 15 10 5 0 -5 to -4 -4 to -3 -3 to -2 -2 to -1 -1 to 0 0 to +1 +1 to +2 +2 to +3 +3 to +4 +4 to +5 +5 to +6 Percent Difference The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 16
  • 17. Mean PTVs Aren’t the Whole Story Though The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 17
  • 18. OAR/Coverage Statistics for Backprojected Dose Compared to Eclipse  OARs receiving >20% of Rx, dose maximum analyzed  Max dose for 2 spinal cord structures increased >5%  Max dose for 1 esophagus structure increased >5%  Max dose for 1 heart structure increased >5%  Max dose for 1 brachial plexus structure increased >5%  Max dose for 0 skin structures increased >5%  Coverage of 95% isodose line  2 PTVs experienced a drop in 95% coverage of more than 5% The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 18
  • 20. Summary  QA is a process of constant improvement  Ultimately TPS determines dose  What to trust determines the success of QA  Measurements/reconstructed dose have value, but resources must be used wisely  3D reconstructed dose provides variability analysis for plans that pass traditional QA procedures The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 20
  • 21. The Ohio State University Comprehensive Cancer Center – The OhioG. James Cancer Hospital and Richard J.Center – Arthur State University Comprehensive Cancer Solove Arthur G. James Cancer Hospital and Richard J. Solove Research Institute Research Institute 21
  • 22. References  Per-beam, Planar IMRT QA Passing Rates Do Not Predict Clinically Relevant Patient Dose Errors, 2011  Comparison of DVH data from multiple radiotherapy treatment planning systems, 2010  US Patent Application: Radiation Therapy Dose Perturbation System and Method, 2009 The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 22
  • 23. Bonus 1: 3DVH  Sun Nuclear software using dose error kernels  Compared Compass to TPS differences >3% for mean PTV Percent Change Between QA Methods 35 3DVH Measured to TPS 30 Compass Measured to Forward Calculated 25 Number of Plans Compass Measured to TPS 20 15 10 5 0 -5 to -4 -4 to -3 -3 to -2 -2 to -1 -1 to 0 0 to +1 +1 to +2 +2 to +3 +3 to +4 +4 to +5 +5 to +6 %Difference The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute 23