Value of Rehabilitation Training for Children with Cerebral Palsy Diagnosed and Analyzed by Computed Tomography Imaging Information Features under Deep Learning

To analyze the brain CT imaging data of children with cerebral palsy (CP), deep learning-based electronic computed tomography (CT) imaging information characteristics were used, thereby providing help for the rehabilitation analysis of children with CP and comorbid epilepsy. The brain CT imaging data of 73 children with CP were collected, who were outpatients or inpatients in our hospital. The images were randomly divided into two groups. One group was the artificial intelligence image group, and hybrid segmentation network (HSN) model was employed to analyze brain images to help the treatment. The other group was the control group, and original images were used to help diagnosis and treatment. The deep learning-based HSN was used to segment the CT image of the head of patients and was compared with other CNN methods. It was found that HSN had the highest Dice score (DSC) among all models. After treatment, six cases in the artificial intelligence image group returned to normal (20.7%), and the artificial intelligence image group was significantly higher than the control group (X2 = 335191, P < 0.001 ). The cerebral hemodynamic changes were obviously different in the two groups of children before and after treatment. The VP of the cerebral artery in the child was (139.68 ± 15.66) cm/s after treatment, which was significantly faster than (131.84 ± 15.93) cm/s before treatment, P < 0.05 . To sum up, the deep learning model can effectively segment the CP area, which can measure and assist the diagnosis of future clinical cases of children with CP. It can also improve medical efficiency and accurately identify the patient’s focus area, which had great application potential in helping to identify the rehabilitation training results of children with CP.

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Small Intracranial Lipomas may be a Frequent Finding on Computed Tomography of the Brain

The Neuroradiology Journal ◽

10.1177/197140091302600104 ◽

2013 ◽

Vol 26 (1) ◽

pp. 27-29 ◽

Cited By ~ 5

Author(s):

J. Gossner

Keyword(s):

Computed Tomography ◽

Differential Diagnosis ◽

Retrospective Analysis ◽

Clinical Relevance ◽

Incidental Findings ◽

Ct Imaging ◽

Rare Finding ◽

Brain Ct ◽

Frequent Finding ◽

The Brain

Intracranial lipomas are described as a rare finding. In this small retrospective analysis of 50 cases undergoing brain CT for various reasons small intracranial lipomas where found in nine patients. In contrast to previous reports lipomas may be a frequent finding on CT imaging of the brain. In particular, these small lipomas seem to be incidental findings lacking clinical relevance. Radiologists should be aware of intracranial lipomas to establish proper differential diagnosis.

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Backward walking highlights gait asymmetries in children with cerebral palsy

Journal of Neurophysiology ◽

10.1152/jn.00679.2017 ◽

2018 ◽

Vol 119 (3) ◽

pp. 1153-1165 ◽

Cited By ~ 12

Author(s):

Germana Cappellini ◽

Francesca Sylos-Labini ◽

Michael J. MacLellan ◽

Annalisa Sacco ◽

Daniela Morelli ◽

...

Keyword(s):

Cerebral Palsy ◽

Muscle Activation ◽

Pattern Generation ◽

Comprehensive Assessment ◽

Emg Activity ◽

Backward Walking ◽

Spinal Circuitry ◽

Children With Cerebral Palsy ◽

Control Circuits ◽

The Brain

To investigate how early injuries to developing motor regions of the brain affect different forms of gait, we compared the spatiotemporal locomotor patterns during forward (FW) and backward (BW) walking in children with cerebral palsy (CP). Bilateral gait kinematics and EMG activity of 11 pairs of leg muscles were recorded in 14 children with CP (9 diplegic, 5 hemiplegic; 3.0–11.1 yr) and 14 typically developing (TD) children (3.3–11.8 yr). During BW, children with CP showed a significant increase of gait asymmetry in foot trajectory characteristics and limb intersegmental coordination. Furthermore, gait asymmetries, which were not evident during FW in diplegic children, became evident during BW. Factorization of the EMG signals revealed a comparable structure of the motor output during FW and BW in all groups of children, but we found differences in the basic temporal activation patterns. Overall, the results are consistent with the idea that both forms of gait share pattern generation control circuits providing similar (though reversed) kinematic patterns. However, BW requires different muscle activation timings associated with muscle modules, highlighting subtle gait asymmetries in diplegic children, and thus provides a more comprehensive assessment of gait pathology in children with CP. The findings suggest that spatiotemporal asymmetry assessments during BW might reflect an impaired state and/or descending control of the spinal locomotor circuitry and can be used for diagnostic purposes and as complementary markers of gait recovery.NEW & NOTEWORTHY Early injuries to developing motor regions of the brain affect both forward progression and other forms of gait. In particular, backward walking highlights prominent gait asymmetries in children with hemiplegia and diplegia from cerebral palsy and can give a more comprehensive assessment of gait pathology. The observed spatiotemporal asymmetry assessments may reflect both impaired supraspinal control and impaired state of the spinal circuitry.

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Bone metabolism biomarkers in walking children with cerebral palsy

Pediatric Traumatology Orthopaedics and Reconstructive Surgery ◽

10.17816/ptors7479-86 ◽

2020 ◽

Vol 7 (4) ◽

pp. 79-86

Author(s):

Vladimir M. Kenis ◽

Svetlana L. Bogdanova ◽

Tatyana N. Prokopenko ◽

Andrei V. Sapogovskiy ◽

Tatyana I. Kiseleva

Keyword(s):

Vitamin D ◽

Alkaline Phosphatase ◽

Cerebral Palsy ◽

Bone Metabolism ◽

Control Group ◽

Study Group ◽

Flat Feet ◽

Children With Cerebral Palsy ◽

Calcium Phosphorus ◽

Orthopedic Patients

Backgrоund. Osteoporosis is an important factor in the pathogenesis of orthopedic manifestations in children with cerebral palsy. It was previously demonstrated that children with cerebral palsy have specific changes in bone metabolism, which can cause changes in laboratory parameters compared with other orthopedic patients without neurological backgrounds. Aim. The aim of this study was to assess bone metabolism biomarkers in children with cerebral palsy, identifying distinguishing characteristic patterns in comparison with patients with orthopedic pathology without neurological backgrounds. Materials and methods. This study evaluated the concentrations of calcium, phosphorus, -cross laps, osteocalcin, vitamin D, CICP, and alkaline phosphatase in the blood serum of 50 children with cerebral palsy aged between 6 to 12 years with GMFCS levels IIII. The control group consisted of 50 patients with plano-valgus deformities of the feet. Results. The alkaline phosphatase activity in the group of children with cerebral palsy was 170.25 59.35 u/L, while in the control group it was 145.58 46.29 u/L; the CICP concentration in the study group was higher than in the control group (324.01 174.10 and 269.68 240.98, respectively). The concentration of -cross laps, osteocalcin, calcium, and vitamin D in the study group was lower than in children with flat feet. Conclusions. This study demonstrated multidirectional changes in the biomarkers of bone metabolism that are characteristic of walking children with cerebral palsy. These changes are characterized by a corresponding increase in the activity of osteoresorption and osteoreparation. This makes it possible to justify the combined use of metabolites and metabolic activators (calcium and vitamin D) and drugs that suppress osteoresorption (bisphosphonates) for the prevention and treatment of osteoporosis in children with cerebral palsy.

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Effectiveness of Virtual Reality and Visual Feedback on Balance and Leg Function in Children with Cerebral Palsy

Reabilitacijos mokslai slauga kineziterapija ergoterapija ◽

10.33607/rmske.v1i18.748 ◽

2019 ◽

Vol 1 (18) ◽

Author(s):

Arūnė Dūdaitė ◽

Vilma Juodžbalienė

Keyword(s):

Virtual Reality ◽

Cerebral Palsy ◽

Postural Control ◽

Range Of Motion ◽

Visual Feedback ◽

Lower Limb ◽

Dynamic Balance ◽

Control Group ◽

Children With Cerebral Palsy ◽

Stretching Exercises

Research background. Virtual reality and visual feedback improve motor performance, motor function and balance, so we want to fnd if it aﬀects the function of legs and balance of children with spastic hemiplegia. Research aim was to establish if the use of virtual reality and visual feedback with traditional physiotherapy improve the function of legs and balance of children with cerebral palsy. Methods. Nine children with cerebral palsy participated in the research. Participants were randomly divided into two groups – virtual reality group (n = 6) and control (n = 3). Virtual reality group practised exergaming and stretching exercises for 10 weeks, twice a week. Control group practiced conventional physiotherapy and stretching exercises for 6 weeks, twice a week. We measured the range of motion of the lower limb, spasticity of the lower limb using Modifed Ashworth’o Scale, static, dynamic balance, trunk coordination using Trunk Impairment Scale at the start and the end of the research, and balance using Pediatric Balance Scale. Results. Virtual reality and visual feedback reduced the spasticity of the lower limb, improved balance and postural control for children with cerebral palsy, but it did not improve the range of motion of the lower limb of children with cerebral palsy. Conclusions. Virtual reality and visual feedback did not improve the range of motion of the lower limb of children with cerebral palsy. Virtual reality and visual feedback reduced spasticity of the lower limb, improved balance and postural control for children with cerebral palsy.Keywords. Cerebral palsy, virtual reality, visual feedback, postural control, muscle architecture.

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GANGGUAN BERBAHASA PADA PENDERITA CEREBRAL PALSY SEBUAH KAJIAN LINGUISTIK KLINIS

Humanitatis : Journal of Language and Literature ◽

10.30812/humanitatis.v6i2.677 ◽

2020 ◽

Vol 6 (2) ◽

pp. 175-186

Author(s):

Agus Syahid

Keyword(s):

Cerebral Palsy ◽

Brain Damage ◽

Language Disorders ◽

Motor Center ◽

The People ◽

Children With Cerebral Palsy ◽

The Brain ◽

Motor Disturbances

This study describes language disorders in the people with cerebral palsy and what kind of treatments to people with cerebral palsy related to language disorders. Cerebral palsy is a series of disorders with problems regulating muscle movements where it is as a result of some damage to the motor centers in the brain. Damage to the motor center in the brain that causes cerebral palsy can occur prenatal (before birth), perinatal (during the birth), or even postnatal (immediately after birth). There are several main problems that are often found and faced by children with cerebral palsy, they are: (1) difficulty in eating and swallowing caused by motor disturbances in the mouth, (2) difficulty in speaking, (3) difficulty in hearing, and (4) language disorders.

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A DYNAMIC SEATING SYSTEM FOR CHILDREN WITH CEREBRAL PALSY

Journal of Musculoskeletal Research ◽

10.1142/s0218957709002158 ◽

2009 ◽

Vol 12 (01) ◽

pp. 21-30 ◽

Cited By ~ 3

Author(s):

Michael E. Hahn ◽

Sheri L. Simkins ◽

Jacob K. Gardner ◽

Gaurav Kaushik

Keyword(s):

Cerebral Palsy ◽

Range Of Motion ◽

Motor Function ◽

Control Group ◽

Significant Group ◽

Gross Motor ◽

Gross Motor Function ◽

Muscle Spasticity ◽

Children With Cerebral Palsy ◽

Dynamic Seating

The study's aim was to determine the initial effects of a dynamic seating system as a therapeutic intervention in children with cerebral palsy. A two-factor, repeated-measures design was used. Twelve children with neuromuscular dysfunction (mean age 6.0, SD 2.7 years) were included in the study, randomly assigned to an experimental or a control group. At study initiation the experimental group received a wheelchair with dynamic seating components that allows limited range of motion in the hip and knee, and the control group received a static setting wheelchair. Participants were evaluated for range of motion, muscle spasticity (Modified Ashworth Scale), motor function (Gross Motor Function Measure), and level of disability (Pediatric Evaluation of Disability Inventory) at study initiation, 3-months, and 6-months post intervention. Both groups improved in motor function over time, particularly in the categories of Sitting and Crawl/Kneel. Measures of disability improved in both groups for the categories of self-care, mobility, and social function. A larger, more homogeneous sample would likely show significant group differences in measures of muscle spasticity, gross motor function and disability.

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Gold Nanoparticle-Optimized Computed Tomography Imaging Combined with Transcranial Magnetic Stimulation on Rehabilitation Training of Children with Cerebral Palsy

Science of Advanced Materials ◽

10.1166/sam.2021.4052 ◽

2021 ◽

Vol 13 (9) ◽

pp. 1674-1684

Author(s):

Yangfan Zhang ◽

Yuanyuan Luo ◽

Xinglei Wu ◽

Liuqiong Yang ◽

Dandan Cui ◽

...

Keyword(s):

Computed Tomography ◽

Gold Nanoparticles ◽

Transcranial Magnetic Stimulation ◽

Contrast Agents ◽

Magnetic Stimulation ◽

Ct Imaging ◽

Nude Mouse Model ◽

Children With Cerebral Palsy ◽

Movement Function ◽

Ct Contrast

Traditional computed tomography (CT) contrast agents, such as iodine-containing small molecules (omnipaque), have limitations in some applications. The development of nanotechnology has made it possible to develop CT contrast agents based on this technology. In this study, a large number of surface functional groups of the fifth-generation polyamide-amine dendrimer (P5-NH2) were applied to functionally modify polyethylene glycol (PEG), targeting molecules, or drugs, which were used as the carrier of CT contrast agents. With the help of sodium borohydride (NaBH4), there was a rapid reduction. The fluorescein thiocyanate (FT) and PEG modified with lactobionic acid (PEG-LA) weres connected before gold coating to obtain gold nanoparticles coated with targeted dendrimer (Au(P5-LA)DENPs). In the experiment, the gold nanoparticles were characterized, and the liver cancer nude mouse model was established, so as to analyze the CT imaging performance of the material. Besides, the above was applied in the motor function of children with cerebral palsy, and the improvement effect of CT imaging combined with transcranial magnetic stimulation based on the preparation of nanomaterials on the movement function of children was analyzed and demonstrated with the help of graph theory. The results showed that the average particle size of gold nanoparticles was 1.88 nm. Within the range of 5 °C–50 °C and pH = 4–7, the physical properties of the aqueous solution of this material were stable. What’s more, the cell activity still exceeded 80% when the material concentration reached 2000 nm. The nude mouse model of liver cancer indicated that the CT imaging based on this material enhanced the image contrast effect of the tumor part, and the material had no obvious toxic and side effects. CT imaging based on the preparation of nanomaterials can promote transcranial magnetic stimulation to accelerate the efficiency of brain movement, accelerate the global and local information exchange and integration speed of brain network, thereby improving the movement function of children.

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A multi-label classification model for full slice brain computerised tomography image

BMC Bioinformatics ◽

10.1186/s12859-020-3503-0 ◽

2020 ◽

Vol 21 (S6) ◽

Author(s):

Jianqiang Li ◽

Guanghui Fu ◽

Yueda Chen ◽

Pengzhi Li ◽

Bo Liu ◽

...

Keyword(s):

Deep Learning ◽

Ct Images ◽

Image Features ◽

Classification Model ◽

Brain Diseases ◽

Ct Scans ◽

Computerised Tomography ◽

Brain Ct ◽

Proposed Model ◽

The Brain

Abstract Background Screening of the brain computerised tomography (CT) images is a primary method currently used for initial detection of patients with brain trauma or other conditions. In recent years, deep learning technique has shown remarkable advantages in the clinical practice. Researchers have attempted to use deep learning methods to detect brain diseases from CT images. Methods often used to detect diseases choose images with visible lesions from full-slice brain CT scans, which need to be labelled by doctors. This is an inaccurate method because doctors detect brain disease from a full sequence scan of CT images and one patient may have multiple concurrent conditions in practice. The method cannot take into account the dependencies between the slices and the causal relationships among various brain diseases. Moreover, labelling images slice by slice spends much time and expense. Detecting multiple diseases from full slice brain CT images is, therefore, an important research subject with practical implications. Results In this paper, we propose a model called the slice dependencies learning model (SDLM). It learns image features from a series of variable length brain CT images and slice dependencies between different slices in a set of images to predict abnormalities. The model is necessary to only label the disease reflected in the full-slice brain scan. We use the CQ500 dataset to evaluate our proposed model, which contains 1194 full sets of CT scans from a total of 491 subjects. Each set of data from one subject contains scans with one to eight different slice thicknesses and various diseases that are captured in a range of 30 to 396 slices in a set. The evaluation results present that the precision is 67.57%, the recall is 61.04%, the F1 score is 0.6412, and the areas under the receiver operating characteristic curves (AUCs) is 0.8934. Conclusion The proposed model is a new architecture that uses a full-slice brain CT scan for multi-label classification, unlike the traditional methods which only classify the brain images at the slice level. It has great potential for application to multi-label detection problems, especially with regard to the brain CT images.

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