Literature DB >> 29753575

Quantitative Apparent Diffusion Coefficient Mapping May Predict Seizure Onset in Children With Sturge-Weber Syndrome.

Anna L R Pinto1, Yangming Ou2, Mustafa Sahin3, P Ellen Grant2.   

Abstract

BACKGROUND: Sturge-Weber syndrome (SWS) is often accompanied by seizures, stroke-like episodes, hemiparesis, and visual field deficits. This study aimed to identify early pathophysiologic changes that exist before the development of clinical symptoms and to evaluate if the apparent diffusion coefficient (ADC) map is a candidate early biomarker of seizure risk in patients with SWS.
METHODS: This is a prospective cross-sectional study using quantitative ADC analysis to predict onset of epilepsy. Inclusion criteria were presence of the port wine birthmark, brain MRI with abnormal leptomeningeal capillary malformation (LCM) and enlarged deep medullary veins, and absence of seizures or other neurological symptoms. We used our recently developed normative, age-specific ADC atlases to quantitatively identify ADC abnormalities, and correlated presymptomatic ADC abnormalities with risks for seizures.
RESULTS: We identified eight patients (three girls) with SWS, age range of 40 days to nine months. One patient had predominantly LCM, deep venous anomaly, and normal ADC values. This patient did not develop seizures. The remaining seven patients had large regions of abnormal ADC values, and all developed seizures; one of seven patients had late onset seizures.
CONCLUSIONS: Larger regions of decreased ADC values in the affected hemisphere, quantitatively identified by comparison with age-matched normative ADC atlases, are common in young children with SWS and were associated with later onset of seizures in this small study. Our findings suggest that quantitative ADC maps may identify patients at high risk of seizures in SWS, but larger prospective studies are needed to determine sensitivity and specificity.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADC map; Neuroimaging; Seizure; Sturge-Weber syndrome

Mesh:

Year:  2018        PMID: 29753575     DOI: 10.1016/j.pediatrneurol.2018.04.004

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  6 in total

1.  Voxelwise and Regional Brain Apparent Diffusion Coefficient Changes on MRI from Birth to 6 Years of Age.

Authors:  Susan Sotardi; Randy L Gollub; Sara V Bates; Rebecca Weiss; Shawn N Murphy; P Ellen Grant; Yangming Ou
Journal:  Radiology       Date:  2020-12-08       Impact factor: 11.105

Review 2.  A somatic missense mutation in GNAQ causes capillary malformation.

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Journal:  Curr Opin Hematol       Date:  2019-05       Impact factor: 3.284

Review 3.  How Machine Learning is Powering Neuroimaging to Improve Brain Health.

Authors:  Nalini M Singh; Jordan B Harrod; Sandya Subramanian; Mitchell Robinson; Ken Chang; Suheyla Cetin-Karayumak; Adrian Vasile Dalca; Simon Eickhoff; Michael Fox; Loraine Franke; Polina Golland; Daniel Haehn; Juan Eugenio Iglesias; Lauren J O'Donnell; Yangming Ou; Yogesh Rathi; Shan H Siddiqi; Haoqi Sun; M Brandon Westover; Susan Whitfield-Gabrieli; Randy L Gollub
Journal:  Neuroinformatics       Date:  2022-03-28

Review 4.  Deep medullary vein engorgement and superficial medullary vein engorgement: two patterns of perinatal venous stroke.

Authors:  Hedieh Khalatbari; Jason N Wright; Gisele E Ishak; Francisco A Perez; Catherine M Amlie-Lefond; Dennis W W Shaw
Journal:  Pediatr Radiol       Date:  2020-10-22

5.  Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.

Authors:  Rebecca J Weiss; Sara V Bates; Ya'nan Song; Yue Zhang; Emily M Herzberg; Yih-Chieh Chen; Maryann Gong; Isabel Chien; Lily Zhang; Shawn N Murphy; Randy L Gollub; P Ellen Grant; Yangming Ou
Journal:  J Transl Med       Date:  2019-11-21       Impact factor: 5.531

6.  Study protocol: retrospectively mining multisite clinical data to presymptomatically predict seizure onset for individual patients with Sturge-Weber.

Authors:  Pooja Vedmurthy; Anna L R Pinto; Doris D M Lin; Anne M Comi; Yangming Ou
Journal:  BMJ Open       Date:  2022-02-04       Impact factor: 2.692

  6 in total

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