Topics to be Discussed

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Innovative Computerized Innovative Computerized Treatment Planning System Treatment Planning System for Permanent Prostate for Permanent Prostate Implants Implants Eva K. Lee, Radiation Oncology, Emory University; Eva K. Lee, Radiation Oncology, Emory University; Industrial & Systems Engineering, Georgia Institute of Technology. Industrial & Systems Engineering, Georgia Institute of Technology.

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Innovative Computerized Treatment Planning System for Permanent Prostate Implants Eva K. Lee, Radiation Oncology, Emory University; Industrial & Systems Engineering, Georgia Institute of Technology. Topics to be Discussed. - PowerPoint PPT Presentation

Transcript of Topics to be Discussed

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Innovative Computerized Innovative Computerized Treatment Planning System for Treatment Planning System for Permanent Prostate ImplantsPermanent Prostate Implants

Eva K. Lee, Radiation Oncology, Emory University; Eva K. Lee, Radiation Oncology, Emory University; Industrial & Systems Engineering, Georgia Institute of Technology.Industrial & Systems Engineering, Georgia Institute of Technology.

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Topics to be Discussed

• Automated Treatment Planning System for Automated Treatment Planning System for Brachytherapy in Permanent Prostate Brachytherapy in Permanent Prostate ImplantsImplants

• MRS-image guided Dose-Escalation MRS-image guided Dose-Escalation Planning Planning

• Extended-time Dose Control and Planning Extended-time Dose Control and Planning Taking Edema Shrinkage and Seed Taking Edema Shrinkage and Seed Displacement into AccountDisplacement into Account

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Brachytherapy for Prostate Carcinoma

• Radiation therapy that involves the placement of radioactive sources permanently inside the prostate.

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Transperineal Implantation of Radionuclides using Transrectal

Ultrasound (TRUS) Device

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Part I:Part I:Automated Treatment Planning Automated Treatment Planning

System for BrachytherapySystem for Brachytherapy

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Computerized Optimization Approach

• Include strict dose bounds for different anatomies• Impose clinically desired properties • Superior plans / Time savings

– Can generate a plan within 5 minutes

• Allow intra-operative planning for clinicians– overcome current pre-planning problems– allow real-time alteration of plans due to unforeseen

implantation problems

• First-of-its-kind• Research tool to push frontier of understanding

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Manual Plan shows poor post-implant coverage & conformity (white curve represents contour of prostate

slice, green curve represents the 100% isodose curve)

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Optimized Plan from Automated System showssuperior coverage & conformity (white curve represents contour of prostate slice, green curve

represents the 100% isodose curve)

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Part II:Part II:MRS-image guided Dose-MRS-image guided Dose-

Escalation PlanningEscalation Planning

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MRS-Image Guided Planning

• Explore feasibility of designing treatment plans with localized escalated dose in identifiable tumor regions of the prostate and gauge the biological significance of doing so.

• Escalate dose in tumor regions within prostate identified by MRS-images

• Case study of a patient shows drastic improvement of tumor control probability from 65% to 95% in dose escalated plans

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Example of dose escalation around the tumor regionExample of dose escalation around the tumor region::

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Here the tumor spot is in the vicinity of the urethra: the Here the tumor spot is in the vicinity of the urethra: the dose received by the urethra is kept within strict pre-set dose received by the urethra is kept within strict pre-set levels and reasonable escalation is observed in the tumor levels and reasonable escalation is observed in the tumor area.area.

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Estimated Tumor Control Probability (TCP) Estimated Tumor Control Probability (TCP) values for 3 different tumor volumes: MRS-values for 3 different tumor volumes: MRS-

guided and standard plansguided and standard plans

MRS-guided plan appears consistently superior to MRS-guided plan appears consistently superior to the non-dose-escalated (standard) plan.the non-dose-escalated (standard) plan.

Table 3: Estimated TCP values (n = 1.36 109 cells, Prostate volume = 38.1 cm3)

Tumor volume

(cm3)

Standard plan

(Plan A)

MRS-guided plan

(Plan B)

Ratio of Plan B to

Plan A

1.36 0.649 0.943 1.45

2.35 0.650 0.965 1.48

3.71 0.761 0.948 1.25

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Part III:Part III:Extended-time Dose Control and Extended-time Dose Control and

Planning Taking Edema Planning Taking Edema Shrinkage and Seed Shrinkage and Seed

Displacement into AccountDisplacement into Account

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Automated Planning with Extended Dose Control

• Patient case studies reveal excessive irradiation to prostate exterior, urethra and rectum when no extended dosimetric constraints, seed displacement or gland shrinkage information are included in the planning process.

• Dosimetric control of irradiation to the prostate, urethra and rectum; seed displacement; and gland shrinkage information are incorporated into planning over the entire 30 day period.

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Automated Planning with Extended Dose Control: Findings

• Multi-period planning provides conformal dosimetry to the gland over a period of 30 days, and a reduction of over 21% of external normal tissue receiving excessive irradiation.

• Multi-period planning demonstrates the potential for urethra and rectum morbidity reduction without compromising local tumor control.

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The figure below shows a plot of coverage and conformity scores over the 30-day horizon for several multi-period plans. For comparison, the single-period EPV[0] plan's 30-day coverage and conformity plot is also shown. Note that while initial coverage is somewhat better for EPV[0] than for the multi-period plans, overall conformity for EPV[0] is much worse.The lines with values above (below) 1.0 on the vertical axis correspond to the conformity (coverage) indices for the six plans.

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Statistics over 30 day horizon for a signle-period model with urethra and rectum dose imposed at multiple times Urethra Dose Statistics Day (t) 0 6 12 18 24 30 % < 1.2D(t) 100 100 100 100 100 100 Max dose / (1.2 D(t))

0.94 0.99 0.99 1.0 0.99 1.0

Rectum Dose Statistics Day (t) 0 6 12 18 24 30 % < 0.8 D(t) 100 100 100 100 100 100 Max dose / (0.8 D(t))

0.94 0.94 0.95 0.96 0.97 1.0

.

Statistics over 30 day horizon for a single-period model with urethra and rectum dose imposed at time 0 Urethra Dose Statistics Day (t) 0 6 12 18 24 30 % < 1.2D(t) 100 33.33 22.22 22.22 22.22 11.11 Max dose / (1.2 D(t))

0.98 1.03 1.07 1.11 1.15 1.18

Rectum Dose Statistics Day (t) 0 6 12 18 24 30 % < 0.8 D(t) 100 70 60 60 60 60 Max dose / (0.8 D(t))

0.99 1.04 1.08 1.12 1.15 1.16

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References• E.K. Lee, M. Zaider, Intra-Operative Iterative Treatment-Plan Optimization

for Prostate Permanent Implants. 2nd International Innovative Solutions for Prostate Cancer Care meeting, 32-33, 2001.

• M. Zaider, E.K. Lee, MRS-guided Dose-Escalation Treatment Planning Optimization for Permanent Prostate Implants. 2nd International Innovative Solutions for Prostate Cancer Care meeting, 36, 2001.

• E.K. Lee, M. Zaider, Determining an Effective Planning Volume for Permanent Prostate Implants. International Journal of Radiation Oncology, Biology and Physics, 49(5) (2001), in print.

• M. Zaider, M. Zelefsky, E.K. Lee, K. Zakian, H.A. Amols, J. Dyke, J. Koutcher. Treatment Planning for Prostate Implants Using MR Spectroscopy Imaging. International Journal of Radiation Oncology, Biology and Physics, 47(4): 1085-96 (2000)

• E.K. Lee, R. Gallagher, M. Zaider, Planning implants of radionuclides for the treatment of prostate cancer: an application of mixed integer programming. Optima (Mathematical Programming Society Newsletter), feature article, 1999; 61: 1 – 10.

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References• C.S. Wuu, R.D. Ennis, P.B. Schiff, E.K. Lee, M. Zaider, Dosimetric and

Volumetric Criteria for Selecting a Source Type I-125 or Pd-103 and Source Activity in the Presence of Irregular Seed Placement in Permanent Prostate Implants. International Journal of Radiation Oncology, Biology and Physics, 47: 815-820 (2000).

• E.K. Lee, R. Gallagher, D. Silvern, C.S. Wuu, and M. Zaider, Treatment Planning for Brachytherapy: An Integer Programming Model, Two Computational Approaches and Experiments with Permanent Prostate Implant Planning. Physics in Medicine and Biology Vol. 44 (1), pp.~145-165, 1999.

• D. Silvern, E.K. Lee, R. Gallagher, L.G. Stabile, R.D. Ennis, C.R. Moorthy, and M. Zaider, Treatment Planning for Permanent Prostate Implants: Genetic Algorithm versus Integer Programming. Medical & Biological Engineering & Computing, vol.~35, Supplement Part 2, 1997.

• R. Gallagher, E.K. Lee, Mixed Integer Programming Optimization Models for Brachytherapy Treatment Planning. In: Daniel R. Masys, Ed. Proceedings of the 1997 American Medical Informatics Association Annual Fall Symposium, 278-282, 1997.