Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging
Por:
Sepúlveda MM, Rojas GM, Faure E, Pardo CR, Las Heras F, Okuma C, Cordovez J, de la Iglesia-Vayá M, Molina-Mateo J and Gálvez M
Publicada:
1 ene 2020
Ahead of Print:
25 nov 2019
Resumen:
Focal cortical dysplasias (FCDs) are a frequent cause of epilepsy. It has been reported that up to 40% of them cannot be visualized with conventional magnetic resonance imaging (MRI). The main objective of this work was to evaluate by means of a retrospective descriptive observational study whether the automated brain segmentation is useful for detecting rm. One hundred and fifty-five patients, who underwent surgery between the years 2009 and 2016, were reviewed. Twenty patients with FCD confirmed by histology and a preoperative segmentation study, with ages ranging from 3 to 43 years (14 men), were analyzed. Three expert neuroradiologists visually analyzed conventional and advanced MRI with automated segmentation. They were classified into positive and negative concerning visualization of FCD by consensus. Of the 20 patients evaluated with conventional MR1,12 were positive for FCD. Of the negative studies for FCD with conventional MRI, 2 (25%) were positive when they were analyzed with automated segmentation. In 13 of the 20 patients (with positive segmentation for FCD), cortical thickening was observed in 5 (38.5%), while pseudothickening was observed in the rest of patients (8, 61.5%) in the anatomical region of the brain corresponding to the dysplasia. This work demonstrated that automated brain segmentation helps to increase detection of FCDs that are unable to be visualized in conventional MRI images. (C) 2019 Elsevier Inc. All rights reserved.
Filiaciones:
Sepúlveda MM:
Department of Radiology, Clínica las Condes, Santiago, Chile
Rojas GM:
Laboratory for Advanced Medical Image Processing, Department of Radiology, Clínica las Condes, Santiago, Chile
Health Innovation Center, Clínica las Condes, Santiago, Chile
Advanced Center for Epilepsy, Clínica la Condes, Santiago, Chile
Faure E:
Department of Radiology, Clínica las Condes, Santiago, Chile
Advanced Center for Epilepsy, Clínica la Condes, Santiago, Chile
Pardo CR:
Department of Radiology, Clínica las Condes, Santiago, Chile
Las Heras F:
Department of Pathological Anatomy, Clínica las Condes, Santiago, Chile
Okuma C:
Department of Radiology, Clínica las Condes, Santiago, Chile
Cordovez J:
Department of Radiology, Clínica las Condes, Santiago, Chile
:
Regional Ministry of Health in Valencia Region, Valencia, Spain
Join Unit FISABIO-CIPF, Valencia, Spain
Molina-Mateo J:
Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain
Gálvez M:
Department of Radiology, Clínica las Condes, Santiago, Chile
Health Innovation Center, Clínica las Condes, Santiago, Chile
Advanced Center for Epilepsy, Clínica la Condes, Santiago, Chile
Academic Direction, Clinica Las Condes, Santiago, Chile
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