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A Visualization Tool for Computer-Aided Diagnosis of Focal Cortical Dysplasia

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41NS083101-01A1
Agency Tracking Number: R41NS083101
Amount: $359,391.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: NINDS
Solicitation Number: PA12-089
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
CHELSEA, MA 02150-4021
United States
DUNS: 78509164
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 (617) 959-1896
Business Contact
Phone: (617) 959-1896
Research Institution
Partners Research Management 101 Huntington Ave, Suite 300
BOSTON, MA 02199-
United States

 () -
 Domestic Nonprofit Research Organization

DESCRIPTION (provided by applicant): This project proposes to build computer-aided diagnostic (CAD) software for use in identifying cortical malformations known as Focal Cortical Dysplasias (FCDs), which are a common cause of epileptic seizures. The intentis for the software, used by a neuroradiologist at a clinical workstation, to decrease the time- intensive nature of the current diagnostic procedure, while simultaneously increasing sensitivity of dysplasia identification, thus reducing the number of missed lesions and making neuroradiologists more effective and more efficient. Epilepsy is a common neurological disorder, characterized by recurrent unprovoked seizures, that exacts a large toll upon society in terms of both quality of life and health carecosts. Malformations of Cortical Development (MCD) are the most common cause of seizures in children and the second most common cause in adults. Focal Cortical Dysplasia is a common form of MCD that is responsible for the vast majority of treatment resistant epilepsy in patients with MCD, and is intractable to any form of pharmacological intervention, requiring surgical resection to remediate. Unfortunately, the radiological diagnosis of FCD is exceedingly difficult in a large percentage of cases due to their focal and subtle nature. Thus, while resection of these dysplasias can often cure seizures, they can be missed for years or decades, resulting in increased neurological damage and degradation of quality of life due to chronic seizures. In principle highresolution MRI can be used to increase diagnostic accuracy. While this is becoming more common in clinical practice, the need for high patient throughput, lack of clinical information and inexperience often results i these lesions being missed on routineclinical reads by neuroradiologists. The project will build upon a foundation of existing technology for the generation of quantitative measures of the human brain based on MRI imaging, known in the neuroimaging research domain as FreeSurfer. The projectwill make use of an existing MRI dataset of 20 subjects with histologically-confirmed FCD, labeled by a neuroradiologist, and 20 control subjects with epilepsy that is not due to FCD. The project has two aims: development and performance evaluation of a graphical user interface (GUI) software tool making use of FreeSurfer-based measures that neuroradiologists will use at a clinical workstation in a new diagnostic work- flow, an aim that will be greatly facilitated by our close collaboration with two seniorneuroradiologist both experienced with the diagnosis of FCD; and an aim to begin the work necessary to meet FDA regulations covering the planned commercial product. The latter aim is important for the long-term project goal of advancing the state of otherclinical diagnostic procedures through the building of additional CAD tools making use of FreeSurfer's brain measures, including diseases as varied as Huntington's disease, Alzheimer's disease, tumor monitoring and hydrocephalus. PUBLIC HEALTH RELEVANCE PUBLIC HEALTH RELEVANCE: The proposal is to build software for computer-aided diagnosis of Focal Cortical Dysplasia (FCD), a malformation of brain development that is a common cause of epileptic seizures in children and adults. The proposed software will offer a neuroradiologist a faster and more accurate diagnostic procedure over the currently difficult means. By identifying abnormalities otherwise missed, the ensuing surgical removal of an abnormality can often cure seizures.

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

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