Goals and structure of the imaging community call ITCR and QIN participation Presented on September 12, 2016 by Robert Nordstrom and Edward Helton

1. Imaging Community Call
September 12, 2016

2. Agenda
• Welcome
(Ed Helton & Bob Nordstrom, NCI)
• New community call format
(Bob Nordstrom & Ed Helton, NCI)
• LesionTracker: Open-source oncology web viewer
(Gordon Harris, Dana-Farber/Harvard Cancer Center)
• Discussion
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3. Mission Statement
• The call is intended to foster scientific communication
and collaboration between individuals and groups
interested in imaging research.
– The call shall provide a forum for identifying bioinformatics
needs as related to imaging research.
– The call shall provide education
– The call shall support the continuum from research to
clinical practice

4. Who Will Benefit From These Calls?
• QIN Members
– Currently 27 teams, each working to translate clinical
decision support tools intended to predict or measure
response to therapy in cancer clinical trials.
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5. Who Will Benefit From These Calls?
• QIN
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6. Who Will Benefit From These Calls?
• ITCR Teams
– 3D Slicer Extensions
• Quantitative image informatics for cancer research (QIICR)
(Fedorov/Kikinis, ITCR grant)
• Tools to Analyze Morphology and Spatially Mapped Molecular Data
(Saltz, ITCR grant)
• Quantitative radiomics system decoding the tumor phenotype
(Quackenbush/Aerts, ITCR grant)
• Cancer Imaging Phenomics Software Suite: Application to Brain and
Breast Cancer (Davatzikos ITCR grant)
– Pathology Slide Visualization/ Analysis
• Tools to Analyze Morphology and Spatially Mapped Molecular Data
(Saltz, ITCR grant)
• Pathology Image Informatics Platform for Visualization, Analysis, and
Management (Madabhushi, ITCR grant)
• Advanced Development of an Open-source Platform for Web-based
Integrative Digital Image Analysis in Cancer (Gutman/Cooper, ITCR
grant)
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7. Who Will Benefit From These Calls?
• ITCR Teams
– Web-Based Data Visualization / Analysis Tools
• Extensible Open-Source Zero-Footprint Web Viewer for Oncologic
Imaging Research (Harris, ITCR grant)
– High Performance Cloud Computing
• Cloud-computer-aided diagnostic imaging decisions support system
(Yoshida, R01 grant)
• TCIA HPCC integration (Prior, QIN grant)
• NCI Cloud Pilots (TCGA genomics analyses)
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8. Who Will Benefit From These Calls?
• CBIIT Contractors
– Digital Pathology and Integrative Query System
(Sharma)
• Browsing/filtering data sets based on radiology, pathology, and clinical
attributes
– National Biomedical Imaging Archive (NBIA)
(Ellumen, Inc.)
• In support of imaging archiving efforts such as TCIA
– MEDICI – a challenge management system
(Kalpathy-Cramer)
– Standards Improvement and Harmonization
(Essex Management, David Clunie)
• DICOM small animal imaging, BRIDG imaging extension
• Others
– Researchers interested in imaging informatics, data registries,
quantitative processes in imaging, etc.
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9. Imaging: from Data to Decision Making
① Generate –> Collect –> Archive image data
② Process, analyze images and store results
③ Compare and optimize software
④ Prove clinical relevance and outcome advantage
⑤ Integrate into clinical workflow pipeline
⑥ Implement in clinical trials
⑦ Implementation in clinical care

10. Potential Discussion Intentions
• Promote the use of standards
• Promote the use of good clinical practice
• Give radiologists better tools and promote radiologists
understanding of what they gain when they use the
advanced tools
• Give oncologists easy to understand reports that state if
patient gets better or not
• Support of FDA submissions

11. Structure of the Call
• 20 min presentation
• Followed by discussion about presentation in the context of
• ITCR grants
• CBIIT projects
• TCIA collections
• QIN Bioinformatics groups/projects
• DICOM/BRIDG
• SEER
• VP’s Moonshot Initiative
• Precision Medicine Initiative
• Q&A / Comments
• Agenda / list of speaker prepared in advance

12. Presentation
• LesionTracker:
Open-source oncology web
viewer
(Gordon Harris, Dana-Farber/Harvard Cancer Center)
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