Program Information
A Multi-Institutional Plan Quality Checking Tool Built On Oncospace: A Shared Radiation Oncology Database System
M Bowers1*, S Robertson2 , J Moore3 , J Wong4 , M Phillips5 , K Hendrickson6 , K Evans7 ,T McNutt8 , (1) ,,,(2) Johns Hopkins University, Baltimore, MD, (3) Johns Hopkins University, Baltimore, MD, (4) Johns Hopkins University, Baltimore, MD, (5) University Washington, Seattle, WA, (6) University of Washington, Seattle, WA, (7) University of Washington, Seattle, WA, (8) Johns Hopkins University, Severna Park, MD
Presentations
SU-F-P-35 (Sunday, July 31, 2016) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose:
Late toxicity from radiation to critical structures limits the possible dose in Radiation Therapy. Perfectly conformal treatment of a target is not realizable, so the clinician must accept a certain level of collateral radiation to nearby OARs. But how much? General guidelines exist for healthy tissue sparing which guide RT treatment planning, but are these guidelines good enough to create the optimal plan given the individualized patient anatomy? We propose a means to evaluate the planned dose level to an OAR using a multi-institutional data-store of previously treated patients, so a clinician might reconsider planning objectives.
Methods:
The tool is built on Oncospace, a federated data-store system, which consists of planning data import, web based analysis tools, and a database containing:
1) DVHs: dose by percent volume delivered to each ROI for each patient previously treated and included in the database.
2) Overlap Volume Histograms (OVHs): Anatomical measure defined as the percent volume of an ROI within a given distance to target structures.
Clinicians know what OARs are important to spare. For any ROI, Oncospace knows for which patients’ anatomy that ROI was harder to plan in the past (the OVH is less). The planned dose should be close to the least dose of previous patients. The tool displays the dose those OARs were subjected to, and the clinician can make a determination about the planning objectives used.
Multiple institutions contribute to the Oncospace Consortium, and their DVH and OVH data are combined and color coded in the output.
Results:
The Oncospace website provides a plan quality display tool which identifies harder to treat patients, and graphically displays the dose delivered to them for comparison with the proposed plan.
Conclusions:
The Oncospace Consortium manages a data-store of previously treated patients which can be used for quality checking new plans.
Funding Support, Disclosures, and Conflict of Interest: Grant funding by Elekta.
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