Objective To explore the significance of proton magnetic resonance spectroscopy(1H- MRS)in patients with amyotrophic lateral sclerosis(ALS).Methods Single-voxel1 H-MRS was carried on the preeentral gyri in 110 patients with ALS and 24 patients with lower motor neuron syndrome (LMNS) compared with 89 healthy controls.The upper motor neuron involvement of the patients was assessed by upper motor neuron(UMN)signs and the reflex scale,and the disease severity was evaluated by the AIJS function rating scale(ALS-FRS)and APPEL ALS rate scale(AARS).Results Compared with the healthy controls(1.62±0.18),the NAA/Cr of patients with ALS(1.40±0.25)remarkably decreased (t= -5.007,P=0.000),however,it did not change in patients with LMNS(1.60±0.17)as compared with that of the controls.The NAA/Cr of patients with ALS was also lower than that of patients with LMNS(t= -2.660,P=0.009).Furthermore,the NAA/Cr of patients with definite ALS was lower than those of patients with probable and possible ALS(definite vs probable:t=-2.626,P=0.010;definite vs possible: t=-2.537,P=0.013).On the other hand,patients with pronounced UMN signs had a lower NAA/Cr ratio than those with probable UMN signs(t=-2.827,P=0.006).In patients with asymmetric clinical presentation,the NAA/Cr ratio was significantly lower in the precentral gyrus contralateral to the clinically predominantly affected side(t=-2.652,P=0.011).The NAA/Cr was correlated with the reflex scale scores,ALS-FRS score,and AARS and its sub-items(P＜0.05). Conclusions 1H-MRS is useful in studying ALS.The marker NAA/Cr of precentral gyrus may reflect the UMN degeneration in ALS,which is related to the disease severity and progression.However,it might not be helpful in the early diagnosis and differential diagnosis of the disease.

[Objective]To explore the health preservation thoughts contained in Three Essentials of Health Cultivation written by the health practitioner YUAN Huang in Ming Dynasty,providing certain techniques for modern people to cultivate and maintain health.[Methods]By using literature research methods,this paper analyzes the health preservation content of Three Essentials of Health Cultivation and systematically interprets it in conjunction with classic theories of traditional Chinese medicine(TCM)and traditional Chinese culture.By adopting the approach of"passing on the ancient culture without adding anything new to it",the paper delves into the health preservation ideas and methods contained in the book,analyzes the author's contribution to health preservation and the guiding significance of health preservation benefits for people in today's society.[Results]The Three Essentials of Health Cultivation was written by YUAN Huang,who was a native of Jiashan Zhejiang during the Ming Dynasty.This book was extracted by later generations from the YUAN Huang's True Interpretation of Praying for Inheritance.In the book,YUAN Huang elaborated the three major principles of maintaining health:essence,Qi and spirit,namely gathering essence,nourishing Qi and preserving spirit for health preservation.The book contains both the health preservation concepts of TCM and the techniques of Taoism and Buddhism.Its health preservation techniques are friendly and natural which are explained reasonably,making it particularly practical.[Conclusion]The health preservation methods mentioned by YUAN Huang are simple and practical,which are easy to understand and practice for modern people who are obsessed with external factors and have rare leisure time.If one can practice a little while busy,he can achieve the goal of maintaining physical and mental health and promoting a better life.

Objective:To investigate the clinical and genetic characteristics of cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS) with replication factor C subunit 1 (RFC1) gene mutation to improve the understanding of this disease.Methods:A case of CANVAS diagnosed in the Peking University Third Hospital in January 2021 was reported. Detailed genetic analyses of ataxia were performed with DNA extracted from the peripheral blood of the patient. Studies including pathogenic variants of RFC1 gene causing CANVAS were reviewed and the clinical and genetic characteristics of the disease were summarized.Results:The patient was a 51-year-old female with the prominent manifestation of progressive walking instability. And the clinical data met the diagnostic criteria of CANVAS. The genetic tests excluded other hereditary ataxia mutations and identified the biallelic expansion of the pathogenic variant structure (AAGGG)exp repeat amplification in RFC1 gene. A total of 14 studies on CANVAS with RFC1 gene mutation were reviewed. The overall mutation rate of RFC1 gene in CANVAS was 68%-100%, and it varied in sporadic and familial CANVAS. And the mutation had ethnic differences.Conclusions:Among adult patients with late-onset ataxia, the combination of brain magnetic resonance imaging, electrophysiology tests and vestibular function examination is beneficial to the identification of CANVAS. And the genetic test of RFC1 gene has significant value in the diagnosis of this disease. This patient with CANVAS expands the disease spectrum of ataxia in China, and confirms that RFC1 gene mutation is of great significance in the screening of ataxia disorders in the Chinese population.

Compared with the previous automatic segmentation neural network for the target area which considered the target area as an independent area, a stacked neural network which uses the position and shape information of the organs around the target area to regulate the shape and position of the target area through the superposition of multiple networks and fusion of spatial position information to improve the segmentation accuracy on medical images was proposed in this paper. Taking the Graves' ophthalmopathy disease as an example, the left and right radiotherapy target areas were segmented by the stacked neural network based on the fully convolutional neural network. The volume Dice similarity coefficient (DSC) and bidirectional Hausdorff distance (HD) were calculated based on the target area manually drawn by the doctor. Compared with the full convolutional neural network, the stacked neural network segmentation results can increase the volume DSC on the left and right sides by 1.7% and 3.4% respectively, while the two-way HD on the left and right sides decrease by 0.6. The results show that the stacked neural network improves the degree of coincidence between the automatic segmentation result and the doctor's delineation of the target area, while reducing the segmentation error of small areas. The stacked neural network can effectively improve the accuracy of the automatic delineation of the radiotherapy target area of Graves' ophthalmopathy.
Algorithms ; Image Processing, Computer-Assisted ; Neural Networks, Computer ; Tomography, X-Ray Computed

Objective The study aims to investigate the effects of different adaptive statistical iterative reconstruction-V（ ASiR-V） and convolution kernel parameters on stability of CT auto-segmentation which is based on deep learning. Method Twenty patients who have received pelvic radiotherapy were selected and different reconstruction parameters were used to establish CT images dataset. Then structures including three soft tissue organs (bladder, bowelbag, small intestine) and five bone organs (left and right femoral head, left and right femur, pelvic) were segmented automatically by deep learning neural network. Performance was evaluated by dice similarity coefficient（ DSC） and Hausdorff distance, using filter back projection(FBP) as the reference. Results Auto-segmentation of deep learning is greatly affected by ASIR-V, but less affected by convolution kernel, especially in soft tissues. Conclusion The stability of auto-segmentation is affected by parameter selection of reconstruction algorithm. In practical application, it is necessary to find a balance between image quality and segmentation quality, or improve segmentation network to enhance the stability of auto-segmentation.
Algorithms ; Humans ; Image Processing, Computer-Assisted ; Neural Networks, Computer ; Radiation Dosage ; Tomography, X-Ray Computed

Ceria nanoparticles(CeO2 NPs)have become popular materials in biomedical and industrial fields due to theirpotential applications in anti-oxidation,cancer therapy,photocatalytic degradation of pollutants,sensors,etc.Many methods,including gas phase,solid phase,liquid phase,and the newly proposed green synthesis method,have been reported for the synthesis of CeO2 NPs.Due to the wide application of CeO2 NPs,concerns about their adverse impacts on human health have been raised.This review covers recent studies on the biomedical applications of CeO2 NPs,including their use in the treatment of various diseases(e.g.,Alzheimer's disease,ischemic stroke,retinal damage,chronic inflammation,and cancer).CeO2 NP toxicity is discussed in terms of the different systems of the human body(e.g.,cytotoxicity,genotoxicity,respiratory toxicity,neurotoxicity,and hepatotoxicity).This comprehensive review covers both fundamental discoveries and exploratory progress in CeO2 NP research that may lead to practical developments in the future.

[Objective]To explore the way that can highlight the characteristics of traditional Chinese medicine(TCM).[Methods]By searching the literature,it analyzes the current situation of traditional Chinese medicine journals,discuss the necessity,feasibility and rally point of setting up local medical culture column in Chinese medicine journals.[Results]Only by highlighting the characteristics of TCM can the connotation of scientific and technological journals of TCM be fully reflected.TCM journals can develop special columns of local medicine culture by exploring local medicine culture,building high-quality editorial teams,establishing core author groups,setting up high-quality review teams and holding journal academic activities.TCM journals should adhere to the characteristics of TCM and take reviving the TCM culture as the first post;learn to keep constant and change,inherit and innovate at the same time;adhere to the principle of letting a hundred flowers bloom,and show the characteristic of local medicine;focus on integrity and innovation,maintain the continuity and stability of the column,and then enhance the reputation and core competitiveness of TCM journals.[Conclusion]TCM culture is the essence of Chinese culture.TCM journals are the main battlefields of TCM academic culture.The establishment of the special column of local medicine culture in TCM journals is not only conducive to the high-quality development of journals,but also conducive to the inheritance of TCM academic culture.

Entropy model is widely used in epileptic electroencephalogram (EEG) analysis, but there are few reports on how to objectively select the parameters to compute the entropy model in the analysis of resting-state functional magnetic resonance imaging (rfMRI). Therefore, an optimization algorithm to confirm the parameters in multi-scale entropy (MSE) model was proposed, and the location of epileptogenic hemisphere was taken as an example to test the optimization effect by supervised machine learning. The rfMRI data of 20 temporal lobe epilepsy (TLE) patients with hippocampal sclerosis, positive on structural magnetic resonance imaging, were divided into left and right groups. Then, the parameters in MSE model were optimized by the receiver operating characteristic curves (ROC) and area under ROC curve (AUC) values in sensitivity analysis, and the entropy value of the brain regions with statistically significant difference between the groups were taken as sensitive features to epileptogenic hemisphere lateral. The optimized entropy values of these bio-marker brain areas were considered as feature vectors input into the support vector machine (SVM). Finally, combining optimized MSE model with SVM could accurately distinguish epileptogenic hemisphere in TLE at an average accuracy rate of 95%, which was higher than the current level. The results show that the MSE model parameter optimization algorithm can accurately extract the functional imaging markers sensitive to the epileptogenic hemisphere, and achieve the purpose of objectively selecting the parameters for MSE in rfMRI, which provides the basis for the application of entropy in advanced technology detection.
Brain/diagnostic imaging* ; Brain Mapping ; Entropy ; Epilepsy, Temporal Lobe/diagnostic imaging* ; Humans ; Magnetic Resonance Imaging