A5068399871- Tuberous Sclerosis Complex Research
- Fetal and Pediatric Neurological Disorders
- Tumors and Oncological Cases
- Radiomics and Machine Learning in Medical Imaging
- Genetic and Kidney Cyst Diseases
- Hedgehog Signaling Pathway Studies
- Medical Imaging and Pathology Studies
- Renal cell carcinoma treatment
Shenzhen Children's Hospital
2022-2023
<h3>BACKGROUND AND PURPOSE:</h3> Tuberous sclerosis complex disease is a rare, multisystem genetic disease, but appropriate drug treatment allows many pediatric patients to have positive outcomes. The purpose of this study was predict the effectiveness antiseizure medication in children with tuberous complex–related epilepsy. <h3>MATERIALS METHODS:</h3> We conducted retrospective involving 300 included analysis clinical data and T2WI FLAIR images. consisted sex, age onset, at imaging,...
Multi-contrast magnetic resonance imaging (MRI) is wildly applied to identify tuberous sclerosis complex (TSC) children in a clinic. In this work, deep convolutional neural network with multi-contrast MRI proposed diagnose pediatric TSC. Firstly, by combining T2W and FLAIR images, new synthesis modality named
Motivation: This study seeks to address the challenge of limited visibility periventricular lesions in Tuberous Sclerosis Complex (TSC). Goal(s): Develop FLAIR3, a deep neural network, for adaptive fusion T2w and FLAIR images TSC patients improve lesion detection. Approach: The adopts dual-stream U-Net network with pre-fusion module employs spatial channel weight feature fusion. Gradient loss segmentation annotations are utilized generate clear textures improved contrast. Results: fused...
Abstract Background: Ability to predict the outcomes of pharmacological treatment epilepsy in pediatric patients with tuberous sclerosis complex (TSC) can confer a distinct leverage and guide therapeutic decision-making. Multi-contrast magnetic resonance imaging (MRI) is routinely used for diagnosis TSC by pediatricians. We propose parameter-efficient convolutional neural network multi-contrast images drug TSC. Methods: Image-based models were generated using EfficientNet3D-B0 architecture....