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A Quality Control Program for Quantitative MRI DataAcquisition and Analysis in Multi-site Clinical Trials

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 4R44CA235820-02
Agency Tracking Number: R44CA235820
Amount: $1,499,995.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 101
Solicitation Number: PA18-574
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-09-17
Award End Date (Contract End Date): 2022-08-31
Small Business Information
4601 NAUTILUS CT, STE 100
Boulder, CO 80301-3290
United States
DUNS: 080811533
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 TODOR KARAULANOV
 (303) 552-3580
 tkaraulanov@qalibre-md.com
Business Contact
 WILLIAM HOLLANDER
Phone: (720) 548-6900
Email: bhollander@qmri.com
Research Institution
N/A
Abstract

Project Summary/Abstract
There has been a shift to greater use of neadjuvant chemotherapy (NACT) in the clinical management of
cancer. Often used in breast cancer to provide systemic treatment for possible or apparent metastatic disease,
NACT also reduces the primary tumor size and facilitates breast conservation. Quantitative magnetic
resonance imaging (qMRI) is an effective diagnostic for monitoring tumor regression. There are many
methodologies being developed for monitoring cancer in vivo, including contrast agent washout, volumetry,
and more recently correlating apparent diffusion coefficients and proton relaxation times to tumor staging. Such
imaging biomarkers are predictive of the pathological complete response (pCR) outcome prior to surgery. This
enables physicians to provide “evidence based” treatment modifications to reduce deleterious side effects and
improve patient outcomes.
To obtain quantitative data from MR images, the variations that occur in imaging as a result of hardware and
software differences between MRI manufacturers and day-to-day operations must be quantified. In MRI, the
data depends on the protocols used to acquire the image, resulting in inconsistencies if even one parameter in
the protocol changes. The goal of the proposed work is to produce and develop and disseminate a ground
truth physical standard and quality control program for comparison of MRI scanners in the multisite I-SPY2
(ACRIN 6698) trials monitoring pre-operative chemotherapy treatments in the reduction of tumor size.
The physical standard is an anthropomorphic breast phantom capable of fitting into all commercial breast coils.
It contains novel human tissue mimics and geometric standards with values traceable to the National Institute
of Standards and Technology (NIST). Analysis software capable of protocol compliance checks, rapid
identification of the regions of interest, and comparison to ground truth values as measured by NIST will be
developed to complement the physical standard. This will enable qualification of sites and quantification of
error resulting from scanner performance alone. Given the wide breadth of parameter space that MRI protocols
encompass, part of the proposed effort will include the development of protocols specific to image acquisition
of tumor volumes and for measuring the apparent diffusion coefficient within the tumor volumes as compared
to surrounding healthy tissue.Project Narrative:
Quantitative imaging complements precision medicine initiatives by providing a noninvasive
method of monitoring gene specific in vivo treatment of diseases ranging from cancer to
neurological disorders. To realize quantitative imaging, variations in imaging hardware,
software, and procedures must be mitigated. This project will develop a quality assurance and
quality control procedure for multisite clinical trials involved in monitoring therapeutic efficacy
using MR breast imaging.

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

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