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Computer-aided detection of focal cortical dysplasias

Award Number: R44NS083101
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/15/2013
PERIOD OF PERFORMANCE END DATE: 04/30/2018

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Computer-aided detection of focal cortical dysplasias - ¿ DESCRIPTION (provided by applicant): This project proposes to build computer-aided detection (CAD) software for use in identifying cortical malformations known as focal cortical dysplasia's (FCDs), which are a common cause of epileptic seizures. The intent is for the software, used by a neuroradiologist at a clinical workstation, to decrease the time- intensive nature of the visual search for cortical dysplasia's, while simultaneously increasing sensitivity o 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 care costs. 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 when anti-epileptic medication is ineffective, detection of FCD becomes critical to the ability of the epilepsy team to offer surgery which is often these patient's last hope for seizure freedom. 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 high resolution 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 routine clinical 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 project will make use of an MRI dataset of 100 subjects with histologically-confirmed FCD to be labeled by four neuroradiologists, and control subjects with epilepsy that is not due to FCD. The project has three aims: gathering the dataset and expansion of the detection algorithms tested in Phase I to include additional MRI biomarkers; development of an MRI scanner slice prescription component to ensure imaging of an FCD at the optimal visualization plane; and an aim to submit a commercialized version of FreeSurfer for FDA 510(k) clearance. The latter aim is important for the long-term project goal of advancing the state of other clinical detection methods 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.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2019 ( Subtotal = -$5,000 )
2019	2016	CORTICOMETRICS LLC	128 GRANITE ST	ROCKPORT	MA	01966	ESSEX	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	2/14/2019	NON-COMPETING CONTINUATION	-$5,000
														Subtotal = -$5,000

Issue Date FY: 2018 ( Subtotal = -$4,743 )
2018	2016	CORTICOMETRICS LLC	6 ADMIRALS WAY UNIT 4	CHELSEA	MA	02150	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	9/19/2018	NON-COMPETING CONTINUATION	-$4,743
														Subtotal = -$4,743

Issue Date FY: 2016 ( Subtotal = $750,677 )
2016	2016	CORTICOMETRICS LLC	100 CAPTAINS ROW	CHELSEA	MA	02150	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	4/18/2016	NON-COMPETING CONTINUATION	$750,677
														Subtotal = $750,677

Issue Date FY: 2015 ( Subtotal = $750,677 )
2015	2015	CORTICOMETRICS LLC	100 CAPTAINS ROW	CHELSEA	MA	02150	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	4/30/2015	COMPETING CONTINUATION	$750,677
														Subtotal = $750,677

Grand Total All Awards = $1,491,611

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Computer-aided detection of focal cortical dysplasias

Award Number: R44NS083101

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/15/2013

PERIOD OF PERFORMANCE END DATE: 04/30/2018

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