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NCI-NSF sponsored workshop on Operations Research Applied to Radiation Therapy (ORART)
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WORKSHOP AGENDA: February 7 - February 9, 2002

Feb 7: Evening Session: "Primer: Background Material"

6:30pm -- Refreshment and ligh hors D'oeuvres
7:30pm -- Welcoming remarks (NCI/NSF)
7:45 -- Primer talks:
  • Joe Deasy Ph.D. Physics : - Radiotherapy Physics(40 min)
    Really simplified radiation physics to understand radiation therapy treatment planning (photon beams & the exponential law of attenuation). Plus introductory comments about intensity modulated radiation therapy; beams vs. beamlets; cell kill; tumor control; and normal tissue complications.
  • Mark Langer M.D. Clinical: - Radiation Oncology (30 min)
    How a physician reads a treatment plan. What one looks for in the dose distribution. Acceptance criteria, and guidelines for comparisons. The effect of uncertainty on plan comparisons. When will a plan be recognized as improved.
  • Ron Rardin Ph.D. OR: - Operations Research/Optimization (50 min)
    How an optimizer thinks about planning problems. Parameters, decision variables, constraints and objectives. Linear vs. nonlinear, continuous vs. integer, deterministic vs. stochastic, and single vs. multi-objective models, and their implications for tractability. Local and global optimal solutions. Relaxations and bounds. Penalty methods.


Feb 8: Morning Session: "Radiation Treatment: Objectives, Formulations and Clinical Implications"

7:30am -- Continental breakfast
8:00am -- 3 talks (each 20 min + 10 min Q&A)
  1. Mike Zelefsky, M.D. The objectives for prescribing a treatment plan. Specification of constraints and preferences. Use of "Constraint Templates". Choice of Importance Factors - does it matter to the physician?
  2. Tom Bortfeld, Ph.D. Physicist. Present IMRT optimization algorithms: principles, potential, and limitations. Topics include inverse approach vs. forward calculation; objective functions: "physical" and "biological"; optimization techniques: gradient, annealing, maximum likelihood; aperture optimization; optimization and organ motion; Multi-criteria optimization.
  3. Larry Marks, M.D. How the aims of a physician are conveyed to treatment planners and the use of non linear response functions. Dose, dose volume and nonlinear response functions as predictors of treatment effect. Are they reliable? How should they be used? What level of accuracy is needed for their clinical acceptance and how can it be obtained?
9:30 -- Break (15 minutes)

9:45 -- 3 talks (each 20 min + 10 min Q&A)

  1. Eva Lee, Ph.D. OR. Optimization with multiple objectives. Major points include: importance of objectives/criteria; ranking, weights and weighted sum on objectives; multi-attribute decision making via goal programming; multilevel programming; and the penalty method.
  2. Avi Eisbruch M.D. Choosing among alternatives and deciding on a treatment prescription. What are the physician's goals? How does the physician balance among competing goals? Development of prescription requirements for multi- institutional protocols to meet different preferences of physicians
  3. Dick Fraass, Ph.D. Physicist. Differences between plan evaluation and the optimization problem statement, and the difference it makes. Discussion includes criteria of plan optimality; clinical criteria vs. objective functions and constraints; comparing 'optimized' treatment plans.
11:15 -- discussion panel (30 minutes)

Lunch and Keynote Presentations

12:00 -- 2 talks (each 30 min + 10 min Q&A)

  • Ellis Johnson, Ph.D. OR. Optimization in Airline Scheduling, Challenges and Successes: How integer programming techniques are used in airline industry. Several successful stories: crew scheduling, recovery and yield management. Numerical challenges for optimizers.
  • Cliff Ling, Ph.D. Physicist. The Future of Radiation Oncology and Cancer Research. New sources of information and images.

Afternoon Session: "Some Proposed Strategies: Strengths and Limitations"

2:00pm -- 3 talks (each 20 min + 10 min Q&A)
  1. Steve Billups, Ph.D. OR. Minimum-Support Solutions for Radiotherapy Planning Computer-generated plans for radiation treatment sometimes involve an unnecessarily large number of gantry angles. Such plans are time consuming and expensive to administer because each distinct angle causes a delay while the gantry is repositioned. To address this issue, we consider an optimization model that generates minimum-support solutions to the treatment planning problem--that is, solutions involving a minimum number of gantry angles.
  2. Joe Deasy, Ph.D. Physicist. The IMRT optimization problem statement. How can the optimized treatment planning problem statement be made more relevant to clinical goals? How can inverse planning engines be made to be more steerable or responsive to the desires of treatment planners? Keywords: Prioritized optimization; isolated tradeoffs.
  3. Eva Lee, Ph.D. OR. Computational Optimization techniques applied to brachytherapy, external beam and IMRT treatment planning. Topics related to the application of computational optimization to treatment planning. Issues include translating treatment planning parameters into mathematical models; incorporation of dose-volume constraints, dose homogeneity, TCP and NTCP criteria into treatment models; improvement of TCP via MRS-image-guided dose escalation; computerized parallel plan generation with multiple objectives and ranking schemes.
3:30 -- Break (15 minutes)

3:45 -- 3 talks (each 20 min + 10 min Q&A)

  1. Ron Rardin, Ph.D. OR. Mixed integer approaches to external beam radiotherapy and IMRT. A mixed integer programming approach to near-optimal radiotherapy planning assuming a fixed set of candidate beam angles and dose linear in beam intensity. Minimum tumor dose is maximized subject to explicit restrictions on tumor-dose homogeneity, and both maximum and dose-volume limits on healthy tissue dose. Constraint-generation schemes sharpen bounds from continuous relaxations, and column-generation is employed to compute desirable IMRT patterns.
  2. Lei Xing, Ph.D. Physicist. Fast optimization techniques and the selection of beam angles Incorporating prior knowledge into optimization of IMRT dose and beam configuration. Keywords: a priori information; heuristics; selecting the best set of beam directions.
  3. Julian Rosenman, M.D., Ph.D. What the oncologic community has gained from optimization in radiotherapy, what more it needs, and how it evaluates approaches to optimization. Has optimization processes provided better treatment for some patients? Has it led to inferior treatments? What level of quality assurance is needed for optimization processes? Are physicians prepared to be involved? What is required of them? Can the oncologic community tell whether optimization processes provide a benefit?
5:15 -- discussion panel (30 minutes)

Dinner (on your own)

6:30pm --

Attendees are encouraged to deposit slips with questions, opinions, suggestions into the Suggestion Box by 9pm for consideration in Saturday's discussions.


Feb 9: Morning Session: "Brainstorming/discussion -- The Present and the Future"

7:30am -- Continental breakfast

8:00am -- 4 panels (each 25 minutes)

Panel Discussion Comments and discussion for each presentation session on Friday, including suggestions slips.

Group 1: Reviewing talks 1-3
Panelists: Clifford Chao, M.D., Laura Dawson, M.D., Isaac Rosen, Ph.D., Joseph F. Pekny, Ph.D.
Model formulation I: stating constraints and objectives in treatment planning. Does the planning problem need reformatting? Can better solutions be defined and recognized? Will mathematically superior solutions improve medical practice, policy or research? Are there improvements needed to the solution process in addition to the solutions themselves?

Group 2: Reviewing talks 4-6
Panelists: Mary Austin-Seymour, M.D., Yunping Zhu, Ph.D., Tim Fox, Ph.D., Stephen Pollock, Ph.D.
Model formulation II: Multiple objectives. Are there multiple objectives? Do multiple objectives apply to a single physician, or do they appear only when polling the community? How do we deal with the inherently conflicting objectives in radiation therapy? How should planning solutions be presented if there are multiple objectives? How can treatment delivery methods be compared if there are multiple objectives? How can protocols be written to reflect multiple objectives across the community?

Break -- 10 minutes

Group 3: Reviewing talks 7-9
Panelists: Mack Roach, M.D., Andrzej Niemierko, Ph.D., Illya VaShun Hicks, Ph.D., Yin Zhang, Ph.D.
What is a solution? How do we define solution accuracy? Model Formulation II: How should volumes (and surfaces) and other clinical parameters be modeled for the purpose of RT optimization? Can operations research methods prioritize obstacles to dose escalation? Is ''almost sparse'' a useful concept? Do we need new computational tools when the models become too complex?

Group 4: Reviewing talks 10-12
Panelists: Christopher M. Rose, M.D., Cedric X. Yu, DSc, Shane Henderson, Ph.D., Ariela Sofer, Ph.D.
What tests are demanded? Can operations research techniques provide objective methods to measure claimed gains from new treatment modalities and resources? Can operations research methods improve treatment or reduce costs? How should we prepare for optimization given non linear dose effects?

Break -- 10 minutes

10:00 am -- Open floor discussion and concluding remarks

Open floor discussion led by the three co-chairs: Deasy, Langer, and Lee (40 minutes) based on submitted audience statements

Concluding Remarks by NCI and NSF (Deye, Mahoney, Rardin)

12:00pm -- Workshop adjourns and departure for airport



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