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Session: Optimizing the Treatment Planning Process Maintain the Quality of Treatment Planning for Time-Constraint Cases Jenghwa Chang, Ph.D. Radiation Oncology, NewYork-Presbyterian Hospital/Weill Cornell Medical College Project Management Triangle Cost: no. plans per planner per day Time: no. of days Product: no. of plans per planner Project Constraints For the same Scope, Quality = Time Resources For the same Quality, Scope = Time Resources The values are not unbounded: one planer can finish one plan in one day doesn t mean Four planners can finish a plan in a quarter day. 1

Time-Constraint Cases in RT Time constraint: planning time < 2 days Cases might include: SRS/SBRT using complex IMRT/3D plans Chemo RT: must start at the same time as chemo Emergency palliation using simple 3D plans. The scope must be reduced for timeconstraint cases We want the highest quality For the same quality, Scope = Time Resources Time is constrained: 1-2 days Can the scope of the plan be reduced? SRS/SBRT: YES Palliative IMRT or 3D plans Hypofractionation Ablative dose for each fraction Target is usually small Palliation in nature Chemo RT: NO Curative IMRT plans using multiple beams The plan is generally complicated with large PTV We will bite the bullet to get the plan done. Emergency palliation: Not really since the plan is already very simple. 2

Solution: a lean process Scope Human Automation Build a lean process for timeconstrained SRS/SBRT cases requires Level the production Planners with the right mentality Minimize the scope of the plan Every plan must be as simple as possible, but not simpler. Linear, not convoluted The Toyota Production System (TPS) points out two major flaws in mass production Producing components in large batches result in large inventories, and a high number of defects. Mass production is unable to accommodate consumer preferences for product diversity. 3

TPS level the production fluctuation by Producing and receiving components and parts in small lot sizes. Optimizing and shortening the changeover procedures to produce a growing variety in smaller lot sizes. RT is a production line but mass production doesn t work in most places Mass production model Every site is responsible by a group of planners Hypothesis: Every planner in a group is an expert for the site and should maximize the productivity Problem: waste when demand fluctuates Lean model: Every planner should be able to plan every site There is a go-to planners for each site Problem: difficult plans not always done by the best planners For time-constrained SRS/SBRT cases, the planner must Have the right mentality: Keep cool under stress Not a perfectionist Understand that computer does most of the planning job. The planner mainly plays the supervising role Trust other colleagues in the process Equipped wit mixed skills: Be able to plan multiple sites: doesn t have to be the go-to person for a specific site Fluent with the multiple planning systems Know the limitations of treatment planning system Can identify/fix problems at the first sign 4

Is a perfect plan necessary? Forget about the perfect plan, get a reasonably good plan first A perfect plan usually Takes forever to achieve or might not even exist Can be undeliverable (e.g., too many modulations) Requires longer deliver y time Doesn t make a significant difference clinically Instead, try to get a reasonably good plan Quickly Simple Meets most, if not all constraints Reduce the scope for SRS/SBRT Conformality index? Technique: 3D or IMRT? No. of beams/arcs? Single isocenter vs. multiple isocenters FFF beams or not? 5

Don t kill yourself driving down the conformity index (CI) CI>2 is bad In most cases, it is relatively easy to make CI <1.6 but You might need a few more hours to drive CI < 1.2 Suggestions: when time is constrained Do not spend too much additional time once CI < 1.6 If CI is really important, use IMRT Which technique one is better? 3D Static Conformal arc Circular arc Dynamic arc IMRT Step-and-shoot Sliding window VMAT/rapid arc For 3D, the plan quality is generally similar Arc beams take the least amount of time for planning and delivery Static beams have an advantage while trying to avoid OARs. Conformity index is not an issue except for targets with a very irregular shape DARC Static 6

IMRT plans can achieve better dose conformity and uniformity but Take longer to plan, check and delivery Will require IMRT QA Not easy to produce traditional SRS non-uniform (max 125%) dose distribution Low dose bath can be a problem Technique Selection for SRS/SBRT IMRT If the target is irregularly shaped or Dose uniformity and CI is a concern (e.g., dmax <110%). Try VMAT/RapidArc first for faster delivery Use STSH or SLWD for potentially better OAR sparing 3D If the target is regularly shaped (e.g., spherical) and Higher dmax allowed. Use static beams if PTV is close to OARs Otherwise, use arc beams Reports recommend 5 arcs or 15 static beams for brain SRS/SBRT, but For brain SRS, it might be sufficient using 3 couch angles with 3 dynamic/conformal arcs or 10 static/imrt beams. For brain SBRT, 2 (e.g., 0 and 90) couch angles with 2 VMAT/RapdiArc beams or 7-8 IMRT beams. 7

Single isocenter for multiple targets saves planning and delivery time Not limited to VMAT/RapidArc Can also be used for STSH, SLWD, DARC Potential additional setup error due to rotation Use slightly larger PTV margin if necessary FFF beams will speed up the delivery for SRS/SBRT The target is generally small: you can get a good plan with either FFF or traditional beams The delivery is faster for a SRS/SBRT plan using FFF beams. FFF is great for SRS that requires non-uniform dose distribution within PTV 6MV 6MV 6MVFFF 6MVFFF Yes, we all joke about P&P but the reality is that we need them particularly for time constrained cases Run the TP operation fairly, effectively and efficiently Deal with many users, each with different personality and individual need. Be prepared when there is an emergency. Say NO to people with unreasonable requests. 8

Conclusions Time-constraint cases are manageable. Implement a lean process: Avoid convoluted process Level the production by training the planners with the right mentality and mix of skills Reduced planning scope Have a written P&P Algorithm for choosing planning approach Clear acceptance and rejection criteria 9