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Automated detection of focal cortical dysplasia based on magnetic resonance imaging and positron emission tomography.
Zheng, Ruifeng; Chen, Ruotong; Chen, Cong; Yang, Yuyu; Ge, Yi; Ye, Linqi; Miao, Pu; Jin, Bo; Li, Hong; Zhu, Junming; Wang, Shuang; Huang, Kejie.
Afiliación
  • Zheng R; College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
  • Chen R; Department of Neurology and Epilepsy Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Chen C; Department of Neurology and Epilepsy Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. Electronic address: chencong93@zju.edu.cn.
  • Yang Y; Department of Neurology and Epilepsy Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Ge Y; Department of Neurology and Epilepsy Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Ye L; Department of Neurology and Epilepsy Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Miao P; Department of Pediatrics, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Jin B; Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Li H; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Zhu J; Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Wang S; Department of Neurology and Epilepsy Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Huang K; College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, China. Electronic address: huangkejie@zju.edu.cn.
Seizure ; 117: 126-132, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38417211
ABSTRACT

PURPOSE:

Focal cortical dysplasia (FCD) is a common etiology of drug-resistant focal epilepsy. Visual identification of FCD is usually time-consuming and depends on personal experience. Herein, we propose an automated type II FCD detection approach utilizing multi-modal data and 3D convolutional neural network (CNN).

METHODS:

MRI and positron emission tomography (PET) data of 82 patients with FCD were collected, including 55 (67.1%) histopathologically, and 27 (32.9%) radiologically diagnosed patients. Three types of morphometric feature maps and three types of tissue maps were extracted from the T1-weighted images. These maps, T1, and PET images formed the inputs for CNN. Five-fold cross-validations were carried out on the training set containing 62 patients, and the model behaving best was chosen to detect FCD on the test set of 20 patients. Furthermore, ablation experiments were performed to estimate the value of PET data and CNN.

RESULTS:

On the validation set, FCD was detected in 90.3% of the cases, with an average of 1.7 possible lesions per patient. The sensitivity on the test set was 90.0%, with 1.85 possible lesions per patient. Without the PET data, the sensitivity decreased to 80.0%, and the average lesion number increased to 2.05 on the test set. If an artificial neural network replaced the CNN, the sensitivity decreased to 85.0%, and the average lesion number increased to 4.65.

SIGNIFICANCE:

Automated detection of FCD with high sensitivity and few false-positive findings is feasible based on multi-modal data. PET data and CNN could improve the performance of automated detection.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Tomografía de Emisión de Positrones / Malformaciones del Desarrollo Cortical Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Tomografía de Emisión de Positrones / Malformaciones del Desarrollo Cortical Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido