Accel-RT · Accel-RT Implementation A Ethical framework for collection of patient image data er...
Transcript of Accel-RT · Accel-RT Implementation A Ethical framework for collection of patient image data er...
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Accel-RT Knowledge management, imaging & RT
Planning
Raj JenaOn behalf of Accel-RT Team
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Disclosures
• I am in receipt of funding from
– Cancer Research UK
– National Cancer Action Team (Public Health England)
• Accel-RT is funded through an STFC Innovation Partnership Scheme (IPS) award
Accel-RT | COMPRT Symposium | Cavendish Laboratory | 17th June 2015
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Overview
• The clinical problem
• The proposed solution
• Repurposing knowledge from Grid Computing to RT planning
• Accel-RT implementation
• Lessons learned from the collaboration
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The clinical problem
Accel-RT | COMPRT Symposium | Cavendish Laboratory | 17th June 2015
DICOM
MRICTPET
RTSTRUCT
RTPLAN
RTDOSE
MVCT
CBCT
EMR
OIS
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Experience : the power of precedent
• Experience = I’ve seen this problem before (or one like it)
• I’ll base what I do on what I did the last time …
• That assumes I can find what I did the last time!
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The solution : a new kind of search
• Search freely –unconstrained ‘Google’ like searches
• Recall effectively –visualise a previous treatment scenario and transpose it to the one in front of me
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The solution : a new kind of search
• No overhead – automate the data capture from DICOM
• Platform agnostic – work with data from any source
• Ubiquitous
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REPURPOSING KNOWLEDGE FROM GRID COMPUTING
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Grid Computing
• Astrophysics : 100Gb data per night sky
• Particle Physics and LHC : 10% of global internet bandwidth consumed during experiments
• Distribute compute and storage across the world
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Grid Computing
• Open source software tools and workflows e.g. Virtual Observatory (Taverna), GridPP, Pathgrid
• Computing paradigms (XML, SOAP, REST)
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ACCEL-RT IMPLEMENTATION
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Accel-RT ImplementationA
IDA Ethical
framework for collection of patient image data O
bje
ct P
acka
ger
Collect data objects, anonymiseand process for research DB
Dat
abas
e Web based database, with flexible searches and image preview D
eskt
op
ap
plic
atio
n Review CT,structuresand dose
Fuse onto a new patient
RES Approval as a
research database
Python (PyDicom) Postgres SQL back end
Python / Django web
front end
Image Processing on
Amazon EC2 cloud
instance
QT & C++ / VTK / ITK /
Plastimatch
Clinical domain Non-clinical domain
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Changing landscape of our RT data•2008
– Paper action sheets & prescriptions
– No templates
– Limited IMRT use cases
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•2014– Paperless OIS
– Extensive templating
– Extensive IMRT and IGRT
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AIDA & DICOM Push
• AIDA = Anonymous Image Donation Archive
– REC approved NHS research DB
– Allows multiple usage, prospective and retrospective capture of images
• ToAida DICOM node on physics network
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Object packager
• Ingest DICOM images, DICOM RT files, planning annotations
• Anonymise data and create unique study identifiers
• Compress data to single file for upload
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Drag and drop
Drag & drop upload of data
• Simplifies upload process
• HTML5 canvas – drag archive file from object packager onto canvas
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Accel-RT Database
• Works anywhere using any device with a web browser
• Secure login
• Clean UX design (EPIC could learn a thing or two!)
• Developed against synthetic data
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Accel-RT Database
• ‘Google like’ search features
• Similar patient search
• ‘Treatment era’ search
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Accel-RT Database
• Image preview within the database
• Some of the processing for the DB is performed using Amazon EC2 server
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Search across patients
• Retrieve DVH data from RTDose file
• Evaluate same structure across multiple patients in the database
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Accel-RT App• Cross platform
• Reconstruct plan data, with images, structures and dose.
• Image registration tools to register your images with those in the database.
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Accel-RT App• Plethora of
powerful Image registration tools to register your images with those in the database.
• Wizards simplify parameter choices
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LESSONS LEARNED FROM COLLABORATION
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• Great questions!
• Challenge conventional ways of thinking
• You don’t know what you don’t know
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Encompassing change
• Research partnerships changed to reflect changing business and research priorities
• Opportunities to work with new industry partners (OSL UK)
• New clinical workflows
• New hardware & software technologies
Accel-RT | COMPRT Symposium | Cavendish Laboratory | 17th June 2015
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What next?
• Few things to finish up!
• Ramp up data flows and use system in the workplace
• See Accel-RT used at a national level (clinical trials?)
• Accel-RT 2 – link the data warehouse to a simulation engine
Accel-RT | COMPRT Symposium | Cavendish Laboratory | 17th June 2015
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My thanks to a very wise team!
Andy ParkerMichael SimmonsNeil BurnetMark HayesMo Al Sa’dAndrew Hoole
Jim DaviesSteve Harris
Charles Crichton
Dean WillemsGrigorios Karangelis
Sue Barley
Himu ShuklaJoseph Stancanello
Barbara CamanziSTFC
Accel-RT | COMPRT Symposium | Cavendish Laboratory | 17th June 2015