Objective To observe the impact of an injection of botulinum toxin type A combined with rehabilitation on the quality of life (QOL) of patients with spasmodic torticollis.Methods Thirty-eight patients with spasmodic torticollis were randomly divided into a combined treatment group and control group.Both groups were given a local muscular injection of botulinum toxin type A.One week later the combined group was given rehabilitation training.Both groups were assessed using the Toronto torticollis rating scale (TWSTRS),Tsui's scale and a health survey (SF-36) one week and eight weeks after the injection.Results Eight weeks after the injection,severity,disability,pain,physical functioning,vitality,mental health and Tsui scores had all increased significantly in the combined treatment group compared with before treatment.Physical functioning,pain,vitality,mental health and Tsui scores had also improved significantly compared with the control group.In the control group,only severity and Tsui scores were significantly improved compared with before treatment.Throughout the course of treatment there were no significant adverse reactions.Conclusions Combining botulinum toxin type A with rehabilitation has synergistic effects on spasmodic torticollis.It can significantly reduce disability scores,relieve pain and improve quality of life.

Objective To observe the therapeutic effect of spleen-invigorating and superficies-consolidating therapy combined with life style intervention for improving constitution of recurrent respiratory tract infection(RRTI) children.Methods One hundred and twenty RRTI children were classified into excessive yang with deficiency yin syndrome(N = 60) and excessive yin with deficiency yang syndrome(N = 60).Then the excessive yang with deficiency yin syndrome were equally randomized into herbal medicine group Ⅰ and western medicine group Ⅰ,and excessive yin with deficiency yang syndrome were equally randomized into herbal medicine group Ⅱ and western medicine group Ⅱ.Herbal medicine groups Ⅰ and Ⅱ were given Fuganning Oral Liquid and life style intervention,and western medicine groups Ⅰand Ⅱ were given thymic peptide capsules and life style intervention.Eight weeks constituted one treatment course.The score of symptoms before and after treatment,and the therapeutic effect were compared after 2 treatment courses.Results(1) The symptoms score was improved obviously in herbal medicine groups and western medicine groups(P 0.05).The difference of therapeutic effect was significant between both of herbal medicine groups(P

Objective To assess the effect of stromal cell-derived factor 1 (SDF-1) on the migration of neural stem cells and recovery of lower limb function after spinal cord injury (SCI).Methods A modified version of Allen's method was used to establish a SCI model in each of 96 adult male Sprague-Dawley rats.They were then randomly divided into group A which received an injection of phosphate buffer solution,group B which received an injection of neural stem cells,group C which received a combination of SDF-1 and neural stem cells,and group D which received AMD3100 and neural stem cells 7 days after the modeling.The functioning of the hind limbs of all of the rats was assessed on the 7th,14th,21st and 28th day after the modeling.The rats were then sacrificed and frozen sections of their spinal cords were stained with hematoxylin-eosin (HE) and marked with CM-Dil under fluorescent light.Results An accumulation of fluorescing cells were observed in spine cords from both group B and C,with the counts of group B [(23.6 ±3.7),(18.9 ±5.6)and(15.2 ±4.3) respectively] at the day 14,21 and 28 after modeling significantly smaller than those of group C [(27.4 ± 4.7),(20.4 ± 5.2) and (18.3 ± 3.9) respectively].During the same period of time,the average BBB scores of groups B and C were significantly better than those of groups A and D.Moreover,the average score of group C was significantly higher than group B's at all time points.Conclusions Transplanted neural stem cells can migrate to the injured site,surviving and differentiating to promote the recovery of limb function in rats with spinal cord injury.SDF-1 can promote that migration and proliferation.Moreover,CXCR4 receptor's antagonist AMD3100 can significantly hinder neural stem cells' migration to the injured site on the spinal cord.

The basic characteristic of the functional neuromuscular stimulation signals suitable to body is preliminarily determined after the fatigue performance of the biceps, and the physiological reaction to stimulation is investigated using many continuous stimulation signal patterns. The flexion motion of the elbow joint (right hand) of a healthy man was taken as our research objective. The surface electrodes were connected to the biceps and a micro angle sensor was mounted on the elbow joint (right hand). The curves of angular displacement for the elbow joint motion were obtained by using functional neuromuscular stimulation (FNS) limbs motion measurement instruments. The results demonstrate that the biceps are characterized by the non-linear and time-variant no matter what the stimulation patterns are, that continuous slow stimulation signals can reduce the muscle fatigue of the biceps, and that the stimulation frequencies ranging from 30 Hz to 50 Hz are applicable to the neuromuscular system.

Objective To compare the efficacy of different models of attention rehabilitation on attention deficits after acquired brain injury. Methods According to the training models, 47 patients with attention deficits were randomly assigned to 3 groups: computer-assisted training group(n=16), face-to-face training group(n=21) and control group(n=10). The training groups were given attention training once a day which sustained 30 minutes for 6 weeks. All patients were tested with the Montreal Cognitive Assessment (MoCA) and the Loewenstein Occupational Therapy Cognitive Assessment Battery (LOTCA) before and 6 weeks after the rehabilitation. Results The performance of both the computer-assisted training group and the face-to-face training group significantly improved (P<0.05). The various of the scores was the most in the computer-assisted training group among them (P<0.05). Conclusion The computer-assisted training is a high-effective method for attention deficits.

Objective To investigate the clinical value of [11C]CFT PET in the diagnosis and severity assessment of Parkinson disease (PD). Methods Thirty-eight patients with PD at various Hoehn & Yahr (H&Y) stages were included and underwent a [11C]CFT PET scan. The correlation between [11C]CFT uptake and unified Parkinson disease rating scale part III (UPDRS III) of PD patients was evaluated by calculating Pearson’s regression coefficient. Statistical parametric mapping (SPM) analysis was performed to compare the difference of dopamine transporter (DAT) distribution between ear-ly and advanced PD patients. Results There was a significant reduction of [11C]CFT uptake in the bilateral striatum of PD patients. There was a significant negative correlation between clinical scores of UPDRS III, rigidity, bradykinesia, pos-ture, gait and [11C]CFT uptake in the striatum. The SPM analysis revealed a significant and asymmetric decrease of [11C] CFT uptake in the striatum, predominantly on the putamen and caudate nucleus contralateral to the onset limb, in the posterior area of ipsilateral putamen in early PD (H&Y 1-2) patients compared with the normal controls. There was a sig-nificant symmetric decrease of [11C]CFT uptake in both putamen and caudate nucleus in advanced PD (H&Y 3-5) pa- tients, compared with normal controls. Compared with early PD patients, the reduction of DAT was more severe in bilater-al caudate nucleus and the ipsilateral putamen in the advanced PD patients. Conclusions [11C]CFT PET is a sensitive biomarker in the diagnosis and assessment of disease severity of PD patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To investigate the clinical values of L-6-18 F-fluoro-3,4-dihydroxyphenylala-nine ( 18 F-DOPA) PET in the diagnosis and severity assessment of early-stage Parkinson's disease ( PD) . Methods Thirty-eight patients (24 males, 14 females; age:34-74 years) with early-stage PD (Hoehn-Yahr ( H-Y) staging:1-2) and 5 age-matched healthy volunteers ( all males;age:45-65 years) from July 2016 to March 2017 were included and underwent 18 F-DOPA PET scan in this retrospective study. The stria-tal-to-occipital ratio ( SOR) was calculated and compared between PD patients and healthy volunteers. The unified PD rating scale ( UPDRS) Ⅲ score and H-Y staging were used to evaluate the clinical symptoms. Two-sample t test and Pearson correlation analysis were used. Results In the control group, 18 F-DOPA SORs in bilateral putamen and caudate nucleus were 2.50±0.24 and 2.61±0.23, respectively. In PD group, the SORs of ipsilateral and contralateral putamen nucleus were 2.02±0.27 and 1.80±0.26 respectively, lower than those in the control group ( t values:-4.006,-5.440, both P<0.01) . The SORs of ipsilateral and contralater-al caudate nucleus were 2.16±0.32 and 2.08±0.28 respectively, lower than those in the control group ( t val-ues:-2.990,-4.047, both P<0.01). The SORs of contralateral putamen and caudate nucleus were signifi-cantly lower than those of the ipsilateral striatum respectively (t values:-6.431,-3.837, both P<0.01). Fur-thermore, the SORs in the striatum (putamen and caudate nucleus) were negatively correlated with UPDRSⅢscore, H-Y staging, and duration of disease (r values:from-0.526 to-0.369, all P<0.05). Conclusions 18F-DOPA PET can reflect the changes in the striatum neurons, and it may be an important method in the diag-nosis and assessment of early-stage PD patients.