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