Post on 23-Dec-2015
QIN-CBIIT Informatics Requirements for Clinical Decision Support and Precision Medicine
QIN Meeting April 13-14th 2051
Joint CBIIT QIN MeetingSession 9 Tuesday 15th 1PM
Larry Clarke, Bob Nordstrom, Yantian Zhang, George Redmond,
Justin Kirby, John Freyman: CIP
Edward Helton: CBIITJose Galvez: CBIIT
Rational for Joint Workshop (CBIIT-QIN)
Investigate the feasibility of engaging stakeholders from academic and industry to support an interoperable informatics research infrastructure for the evaluation of clinical decision support systemsClinical, Digital Pathology, and Preclinical
The intent of the workshop is to seek input from all stakeholders Explore the generation of a white paper that may help
guide NCI and CBIIT future investments in imaging informatics
Clinical Decision Support: Precision MedicineIs Quantitative Imaging well positioned ?
Clinical, Preclinical imaging, Digital Pathology
NCI : Significant Research Investments
1
QINU01 (25)
12
34
56
Academic- Industrial Program
R01’s
R01Applications
2
3
U24 Informatics Research ResourcesOpen Source
4
5
International QIN Members
NCI TCIAImage Archive
CBIIT HUB Software Tools
NCI: Co-Clinical Trials-Mouse Models?
1
U24Resource
12
34
56
Academic- Industrial Program
R01’s
R01Applications
2
3
U24 Informatics Research ResourcesOpen Source
4
5
International Members
NCI TCIAImage Archive
CBIIT HUB Software Tools
Initial Basis for Common Informatics Infrastructure
Example: Quantitative Imaging Network (QIN)
U24 CA180918-02 Kikinis, Ron; Fedorov, Andriy
Quantitative Image Informatics for Cancer Research (QIICR)
U24 CA180927-01A1Rosen, Bruce R; Kalpathy-Cramer, Jayashree
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research & Discovery
U24 CA180924-01A1 Saltz, Joel H. Tools to Analyze Morphology and Spatially Mapped Molecular Data
U24 CA194354-01 Aerts, Hugo Informatics Quantitative Radiomics System Decoding the Tumor Phenotype
Four projects use the 3D Slicer informatics platform to address complementary informatics requirements to evaluate software tools for the prediction and measurement of response to therapy, for both in vivo imaging and digital pathology, a critical mission of DCTD.
Rationale for Informatics Infrastructure?
Progress towards “precision medicine” Imaging is well positioned to be integrated into clinical decision
making?
Timely development of open science and open source informatics initiatives (QIN, ITCR), TCIA CBIIT HUB, Co-Clinical Trials, other
Community based initiatives: RSNA AAPM-QIBA: Clinical Biomarkers SPIE, AAPM, RSNA: Software Challenges MICCIA: Clinical/Digital Pathology: Challenges WMIC-AAPM: Co-clinical Trials: Challenges NCI Cancers: Oncology Research Information Exchange Network (
Moffitt Cancer center)
Incentive: Academia and Industry
Academia:Provide a means to evaluate their research software
tools and clinical decision tools Implement common methods for evaluations of tools
to improve review at NCI study sections Industry
Provide a means to collaborate with academiaProvide a pre-competitive space for industry to
share metrology methods for tool evaluationCollectively provide an open science informatics
framework to submit their methods for FDA approval.
Current Informatics Initiatives
Quantitative Imaging Network: PAR U01 14-116
Academic Industry Partnerships (AIP R0I), PAR-13-169,
Early Phase Clinical Trial in Imaging and imaging-Guided intervention, R01: PAR-14-166
Informatics Technology for Cancer Research (ITCR), PAR-12-286 & 287,R01, U24, NCI
NIH Big DATA initiatives, PA-14-154, -5, -6, -7
Oncology Models Forum
PAR 14-239, 241, 240