Topic 380 - QIDS: Using Radiomics to Impact Radiotherapy Treatment Planning - Moonshot

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 75N91018C00011-0-0-0
Agency Tracking Number: N43CA180011
Amount: $225,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: NCI
Solicitation Number: N/A
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
918 Deming Way, MADISON, WI, 53717
DUNS: 078786040
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Linda Peitzman
 (608) 833-2610
Business Contact
 Linda Peitzman
Phone: (608) 833-2610
Research Institution
HealthMyne proposes developing a Clinical Decision Support tool to be used in the point-of-care workflow for the Radiation Oncologist that uses radiomic features that have evidence-based association to disease course and/or normal organ damage, in order to impact the treatment planning process. Phase 1 will focus on extraction, calculation, and validation of identified radiomic features for lung cancer, integration of images and volumes from the treatment planning system, use of existing EHR integration, creation of a flexible cohort platform that groups patients based on combinations of clinical and other parameters, and iteration with radiation oncology partners on a meaningful UI to show relative risk associated with radiomic features (for local recurrence, distant metastasis, radiation induced lung injury) within clinically based cohorts of similar patients. This tool would be the first we are aware of to bring radiomic evidence into the clinical decision making process for radiation oncology, and could serve as the platform for extension across modalities, across biomarkers (genomic, histologic, clinical, etc.), other areas of cancer/disease, and other areas of medicine to bring radiomic and other precision medicine biomarkers to bear within the clinical workflow, for impact on treatment decisions for a wide range of patients.

* Information listed above is at the time of submission. *

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