SBIR/STTR Research Award

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

Award identifier 72bdbfcb9b11a4f10baa0f4324f0ff454dfb4ff99491805bb74509587e18d2dfAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$359,391

Program and phase

STTR · Phase I

Award year

2013

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CORTICOMETRICS LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
WQ9CMMLAWGB5
Solicitation number
PA12-089
Topic code
NINDS

Research abstract

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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

10 SBIR/STTR records share this UEI (2013–2021). Reported award amounts total $7,380,343. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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