Program Information
A Platform for Adaptive Radiation-Therapy Research
A Pin1*, S Puydupin1 , L Yin2 , K Souris3 , G Janssens1 , B Teo2 ,(1) Ion beam applications, Louvain-la-neuve, Belgium, (2) Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA (3) Center for Molecular Imaging and Experimental Radiotherapy, Institut de Recherche Experimentale et Clinique, Universite catholique de Louvain, Avenue Hippocrate 54, 1200 Brussels, Belgium and ICTEAM Institute, Universite catholique de Louvain, Louvain-la-Neuve 1348, Belgium
Presentations
SU-I-GPD-J-2 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose: To describe an open-source software for adaptive proton therapy (PT) that provides online decision making tools and serve as a platform for the development of automatic re-planning tools.
Methods: The software consists of a DICOM PACS server that stores the planning CT (pCT), treatment plan, dose maps and structure sets. During treatment, patient setup images based on in-room CT or CBCT are automatically sent to the PACS server and an automatic computation of dose and clinical indicators is performed using the OPENREGGUI software. The results are accessible to the therapist at the treatment control room and to the physician or physicist remotely via a web-browser on any device where decisions on the need for adaptive therapy can be made.
Results: Daily anatomical changes are evaluated using the in-room CT or virtual CT (vCT) computed by deforming the pCT onto the daily CBCT. The estimated fractional dose delivered by the plan is computed and used to determine the clinical indicators such as changes in water equivalent thickness (WET) and traditional dose volume histogram metrics. If differences between the daily indicators and the prescribed indicators exceed a predetermined threshold, the results will be flagged and a notification is sent to the physicist or physician.
Conclusion: This software is a platform for translational research for online adaptive PT, facilitating the development and evaluation of algorithms for clinical research studies. The application is of interest for clinical research in adaptive proton-therapy and it helps the clinical user to test, validate and evaluate the workflows developed by other researchers in proton therapy. Additional workflows (for QA, re-planning) are under implementation with MCsquare as dose-engine. The open-source approach allows research groups to develop their own workflow to share with the community to speed up research in PT.
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