Add-on module for ONCAD for diagnosing infiltrating lobular carcinoma

Award Information
Agency:
Department of Health and Human Services
Amount:
$100,058.00
Program:
SBIR
Contract:
1R43CA132259-01A1
Solitcitation Year:
2008
Solicitation Number:
PHS2007-2
Branch:
N/A
Award Year:
2008
Phase:
Phase I
Agency Tracking Number:
CA132259
Solicitation Topic Code:
N/A
Small Business Information
ALAN PENN AND ASSOCIATES, INC.
14 CLEMSON CT., ROCKVILLE, MD, 20850
Hubzone Owned:
Y
Woman Owned:
Y
Socially and Economically Disadvantaged:
Y
Duns:
806644220
Principal Investigator
 () -
Business Contact
Phone: (301) 279-5958
Research Institution
N/A
Abstract
DESCRIPTION (provided by applicant): The specific aim of this study is to develop an add-on module for the ONCAD breast MRI CAD system that will provide radiologists with additional assistance when they have suspicion of the presence of infiltrating lobula r carcinoma (ILC). The proposed research will investigate the possibility of developing, training and evaluating an ILC- specific algorithm that uses both kinetics and morphology to increase the sensitivity of ONCAD to ILC. This ILC-specific algorithm will enable the radiologist to further evaluate cases in which ILC is suspected and to improve sensitivity on this subset of breast cancers. Infiltrating lobular carcinoma (ILC), which is found in a clinically significant fraction of breast cancers, is difficu lt to detect clinically or with mammography and frequently fails to exhibit suspicious kinetics on MRI. In prior studies, ONCAD, the only FDA-approved CAD system for MRI that marks breast lesions that have suspicious morphologies, identified 7 of 8 biopsy- proven cases of ILC. These results provide preliminary evidence that the ONCAD algorithms may provide a basis of researching methods of identifying sufficient percentage of ILCs to be clinically significant. This ILC-specific algorithm will enable the radi ologist to further evaluate cases in which ILC is suspected and to improve sensitivity on this subset of breast cancers.

* information listed above is at the time of submission.

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