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Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach

OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of apparently non-lesional drug-resistant focal epilepsy. Visual detection of subtle FCDs on MRI is clinically important and often challenging. In this study, we implement a set of 3D local image filters adapted from computer vision appl...

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Autores principales: Snyder, Kathryn, Whitehead, Emily P., Theodore, William H., Zaghloul, Kareem A., Inati, Souheil J., Inati, Sara K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887437/
https://www.ncbi.nlm.nih.gov/pubmed/33556791
http://dx.doi.org/10.1016/j.nicl.2021.102565
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author Snyder, Kathryn
Whitehead, Emily P.
Theodore, William H.
Zaghloul, Kareem A.
Inati, Souheil J.
Inati, Sara K.
author_facet Snyder, Kathryn
Whitehead, Emily P.
Theodore, William H.
Zaghloul, Kareem A.
Inati, Souheil J.
Inati, Sara K.
author_sort Snyder, Kathryn
collection PubMed
description OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of apparently non-lesional drug-resistant focal epilepsy. Visual detection of subtle FCDs on MRI is clinically important and often challenging. In this study, we implement a set of 3D local image filters adapted from computer vision applications to characterize the appearance of normal cortex surrounding the gray-white junction. We create a normative model to serve as the basis for a novel multivariate constrained outlier approach to automated FCD detection. METHODS: Standardized MPRAGE, T(2) and FLAIR MR images were obtained in 15 patients with radiologically or histologically diagnosed FCDs and 30 healthy volunteers. Multiscale 3D local image filters were computed for each MR contrast then sampled onto the gray-white junction surface. Using an iterative Gaussianization procedure, we created a normative model of cortical variability in healthy volunteers, allowing for identification of outlier regions and estimates of similarity in normal cortex and FCD lesions. We used a constrained outlier approach following local normalization to automatically detect FCD lesions based on projection onto the mean FCD feature vector. RESULTS: FCDs as well as some normal cortical regions such as primary sensorimotor and paralimbic regions appear as outliers. Regions such as the paralimbic regions and the anterior insula have similar features to FCDs. Our constrained outlier approach allows for automated FCD detection with 80% sensitivity and 70% specificity. SIGNIFICANCE: A normative model using multiscale local image filters can be used to describe the normal cortical variability. Although FCDs appear similar to some cortical regions such as the anterior insula and paralimbic cortices, they can be identified using a constrained outlier detection approach. Our method for detecting outliers and estimating similarity is generic and could be extended to identification of other types of lesions or atypical cortical areas.
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spelling pubmed-78874372021-02-26 Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach Snyder, Kathryn Whitehead, Emily P. Theodore, William H. Zaghloul, Kareem A. Inati, Souheil J. Inati, Sara K. Neuroimage Clin Regular Article OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of apparently non-lesional drug-resistant focal epilepsy. Visual detection of subtle FCDs on MRI is clinically important and often challenging. In this study, we implement a set of 3D local image filters adapted from computer vision applications to characterize the appearance of normal cortex surrounding the gray-white junction. We create a normative model to serve as the basis for a novel multivariate constrained outlier approach to automated FCD detection. METHODS: Standardized MPRAGE, T(2) and FLAIR MR images were obtained in 15 patients with radiologically or histologically diagnosed FCDs and 30 healthy volunteers. Multiscale 3D local image filters were computed for each MR contrast then sampled onto the gray-white junction surface. Using an iterative Gaussianization procedure, we created a normative model of cortical variability in healthy volunteers, allowing for identification of outlier regions and estimates of similarity in normal cortex and FCD lesions. We used a constrained outlier approach following local normalization to automatically detect FCD lesions based on projection onto the mean FCD feature vector. RESULTS: FCDs as well as some normal cortical regions such as primary sensorimotor and paralimbic regions appear as outliers. Regions such as the paralimbic regions and the anterior insula have similar features to FCDs. Our constrained outlier approach allows for automated FCD detection with 80% sensitivity and 70% specificity. SIGNIFICANCE: A normative model using multiscale local image filters can be used to describe the normal cortical variability. Although FCDs appear similar to some cortical regions such as the anterior insula and paralimbic cortices, they can be identified using a constrained outlier detection approach. Our method for detecting outliers and estimating similarity is generic and could be extended to identification of other types of lesions or atypical cortical areas. Elsevier 2021-01-19 /pmc/articles/PMC7887437/ /pubmed/33556791 http://dx.doi.org/10.1016/j.nicl.2021.102565 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Snyder, Kathryn
Whitehead, Emily P.
Theodore, William H.
Zaghloul, Kareem A.
Inati, Souheil J.
Inati, Sara K.
Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach
title Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach
title_full Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach
title_fullStr Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach
title_full_unstemmed Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach
title_short Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach
title_sort distinguishing type ii focal cortical dysplasias from normal cortex: a novel normative modeling approach
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887437/
https://www.ncbi.nlm.nih.gov/pubmed/33556791
http://dx.doi.org/10.1016/j.nicl.2021.102565
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