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Dataset results
21 results for “FOCAL CORTICAL DYSPLASIA”
Multicenter Validated Detection of Focal Cortical Dysplasia using Deep Learning
<p>Lesional and non-lesional patches derived from 148 FCD patients is available as a HDF5 dataset (v1.0.0; doi: 10.5061/dryad.h70rxwdgm or 10.5281/zenodo.3239446). To create this dataset, for each of the 148 FCD patients, we sampled at most 1,000 (*_N1000.h5) or 1,500 (*_N1500.h5) cortical patches (or # voxels in the lesion, whichever is lower) of size 16×16×16 within the lesion.The same number of cortical patches were sampled randomly outside the lesion. The resulting lesional and non-lesional patches were concatenated, shuffled (to add another layer of randomization), and saved along with their binary labels (compressed HDF5 dataset).</p> <p>For axis=1, index 0 is T1 and 1 is FLAIR.</p>
Supplement: Multicenter validated detection of focal cortical dysplasia using deep learning
<p><span><b><span>Objective</span></b><span>. </span><span><span>To test the hypothesis that a multicenter-validated computer deep learning algorithm detects MRI-negative focal cortical dysplasia (FCD).</span></span></span></p> <p><span><b><span>Methods</span></b><span>. We used clinically acquired 3D T1-weighted and 3D FLAIR MRI of 148 patients (median age, 23 years [range, 2-55]; 47% female) with histologically verified FCD at nine centers to train a deep convolutional neural network (CNN) classifier. Images were initially deemed as MRI-negative in 51% of cases, in whom intracranial EEG determined the focus. For risk stratification, the CNN incorporated Bayesian uncertainty estimation as a measure of confidence. To evaluate performance, detection maps were compared to expert FCD manual labels. </span><span><span>We also tested sensitivity in an independent cohort of </span></span><span><span>23 FCD cases (13±10 years</span></span><span><span>).</span></span><span> Applying the algorithm to 38 healthy and 63 temporal lobe epilepsy disease controls tested specificity. </span></span></p> <p><span><b><span>Results.</span></b><span> Overall sensitivity was 93% (137/148 FCD detected) using a leave-one-site-out cross-validation, with an average of six false positives per patient. Sensitivity in MRI-negative FCD was 85%. In 73% of patients, the FCD was among the clusters with the highest confidence; in half it ranked the highest. </span><span><span>Sensitivity in the </span></span><span><span>independent cohort was </span></span><span><span>83% (19/23; average of five false positives per patient).</span></span><span> Specificity was 89% in healthy and disease controls.</span></span></p> <p><span><b><span>Conclusions</span></b><span>. This first multicenter-validated deep learning detection algorithm yields the highest sensitivity to date in MRI-negative FCD. By pairing predictions with risk stratification</span><span><span> this classifier may assist clinicians to adjust hypotheses relative to other tests, increasing </span></span><span>diagnostic confidence</span><span><span>.</span></span><span> Moreover, generalizability across age and MRI hardware </span><span><span>makes this approach ideal for pre-surgical evaluation of MRI-negative epilepsy. </span></span></span></p> <p><b><span>Classification of evidence</span></b><span>. This study provides Class III evidence that deep learning on multimodal MRI accurately identifies FCD in epilepsy patients initially diagnosed as MRI-negative.</span></p>
Supplement: Multicenter validated detection of focal cortical dysplasia using deep learning
Open the record for dataset details and reuse information.
A Study Investigating the Anti-epileptic Efficacy of Afinitor (Everolimus) in Patients With Refractory Seizures Who Have Focal Cortical Dysplasia Type II (FCD II)
ClinicalTrials.gov study NCT03198949. IPD Sharing: NO. Countries: 1. Publications: 1.
Mos-FED (Mosaicism in Focal Epilepsy Cortical Dysplasia Tissue)
ClinicalTrials.gov study NCT06053671. IPD Sharing: YES. Countries: 1. Publications: 0.
Multimodal single-cell profiling reveals neuronal vulnerability and pathological cell states in focal cortical dysplasia
GEO Series GSE268807. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Single-nucleus transcriptomics and chromatin accessibility of cell type-specific contributions to the epileptogenic cortex of focal cortical dysplasia type IIIa
GEO Series GSE266308. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Single-nucleus transcriptomics and chromatin accessibility of cell type-specific contributions to the epileptogenic cortex of focal cortical dysplasia type IIIa [snATAC-seq]
GEO Series GSE266303. Homo sapiens. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
CpG methylation analysis in Mesial temporal lobe epilepsy and Focal cortical dysplasia patients
GEO Series GSE96067. Homo sapiens. 9 samples. Type: Methylation profiling by genome tiling array.
The specific DNA methylation landscape in Focal Cortical Dysplasia ILAE Type 3D
GEO Series GSE227239. Homo sapiens. 7 samples. Type: Methylation profiling by genome tiling array.
Transcriptome analyses of the cortex and white matter of focal cortical dysplasia type II human samples: novel insights into disease mechanisms and contributions to tissue characterization
GEO Series GSE213488. Homo sapiens. 35 samples. Type: Expression profiling by high throughput sequencing.
Determining the Extent of Diffusion Tensor Abnormalities in Focal Cortical Dysplasia
ClinicalTrials.gov study NCT00687024. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of Predictive Biomarkers for Rational Management of Drug-resistant Epilepsy Associated With Focal Cortical Dysplasia
ClinicalTrials.gov study NCT03321240. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Safety, Tolerability, and Pharmacokinetics of SVG103 (Paxalisib) in Focal Cortical Dysplasia Type II (FCD-II), Tuberous Sclerosis Complex (TSC) or Hemimegalencephaly (HME)
ClinicalTrials.gov study NCT07287202. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dysmorphic neurons express markers of inhibitory glycinergic signaling in focal cortical dysplasia
GEO Series GSE300645. Homo sapiens. 4 samples. Type: Other.
Single-nucleus transcriptomics and chromatin accessibility of cell type-specific contributions to the epileptogenic cortex of focal cortical dysplasia type IIIa [snRNA-seq]
GEO Series GSE266305. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Modeling Focal Cortical Dysplasia (FCD) using cortical organoids
GEO Series GSE174605. Homo sapiens. 8 samples. Type: Expression profiling by array.
Gene expression analysis in human focal cortical dysplasia and tuberous sclerosis
GEO Series GSE62019. Homo sapiens. 11 samples. Type: Expression profiling by array.
Dataset related to article "FOCAL CORTICAL DYSPLASIA IIIA IN HIPPOCAMPAL SCLEROSIS-ASSOCIATED EPILEPSY: ANATOMO-ELECTRO-CLINICAL PROFILE AND SURGICAL RESULTS FROM A MULTICENTRIC RETROSPECTIVE STUDY"
<p>XLSX clinical database: General characteristics, neuroimaging, and electroclinical features of BESTA patients included in the study</p>
Dateset relate to article "Why are type II focal cortical dysplasias frequently located at the bottom of sulcus? A neurodevelopmental hypothesis"
<p>dataset contains MRI images and an .xls file describing clinical variable of patients involved in the study</p>
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