Objective To apply the Intelligent Device for Energy Expenditure and Activity(IDEEA)system to evaluate the locomotion of patients with protrusion of intervertebral disc(PID)quantitatively and dynamically.Methods 8 patients with PID and 9 volunteers as controls performed a series of daily activities in their nature environment.They were monitored with IDEEA.Results The velocity of flexion forward,time flexion forward,time stand up,time sit down of the patients were significant different to the controls(P<0.05),and the walking speed of the former was slower(P<0.05)than the latter's.Conclusion Physical performance of the PID patients was significantly reduced.The IDEEA can be a good tool to evaluate their ability of locomotion in their daily living.

AIM:To isolate and culture tumor stem cells in human retinoblastomas (RTSC). METHODS: Retinoblastoma (RB) single cells acquired from fresh tumors of RB patients by enzyme digestion were seeded in serum-free medium at a density of 1?10~8 cells/L. Clonal cultures were plated at a density of 1?10~6 cells/L. Secondary tumor spheres were triturated again and passaged in fresh medium. The sphere-forming, proliferation and differentiation assays were performed. RT-PCR and immunocytochemistry were performed to identify the RTSC and differentiated cells. RESULTS: All RB tumors studied produced proliferating neurosphere-like tumor spheres, which were also passaged multiple times. These tumor spheres had the capability to self-renew, proliferate in SFM medium, expressed retinal progenitor cell related genes, and differentiated into neurons and glia when they were transferred to differentiation conditions.CONCLUSION:Our findings demonstrated that there were subsets of tumor stem cells resembling retinal progenitor cells in human RB, which can be isolated, cultured in SFM. The RTSC may be original cells of RB tumor, and also become the new target of tumor therapy.

Objective:To evaluate the effect of "simulated rehabilitation team" teaching model on the learning effect of clinical interns through retrospective analysis.Methods:A total of 124 rehabilitation undergraduate students were divided into control group ( n=58) and experimental group ( n=66) according to the order of practice. The control group received the traditional rehabilitation teaching mode. The experimental group adopted the "simulated rehabilitation team" teaching model, and the students were given theoretical and practical examinations 3 months before and after the end of the practice. Results:There was no significant difference in the theoretical test score between the experimental group and the control group ( P>0.05) three months before and after the practice, but there was significant difference in the practical test score between the experimental group and the control group ( P<0.05). After the practice, the scores of students in the experimental group were better than those in the control group ( P<0.05). Conclusion:Compared with the traditional rehabilitation teaching model, the "simulated rehabilitation team" teaching model can significantly improve the students' theoretical and practical achievements, and improve the students' mastery of theoretical knowledge and comprehensive practical ability.

Objective:To investigate the clinical value of muscle index changing value during neoadjuvant chemotherapy in predicting the prognosis of gastric cancer after radical gastrec-tomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 362 gastric cancer patients undergoing neoadjuvant chemotherapy combined with radical gastrectomy in 3 medical centers, including 163 cases in Fujian Medical University Union Hospital, 141 cases in the Affiliated Hospital of Qinghai University and 58 cases in St. Mary′s Hospital, from January 2010 to December 2017 were collected. There were 270 males and 92 females, aged from 26 to 79 years, with a median age of 61 years. Of 362 patients, 304 cases in Fujian Medical University Union Hospital and the Affiliated Hospital of Qinghai University were allocated into modeling group and 58 cases in St. Mary′s Hospital were allocated into validation group. Observation indicators: (1) changes of indicators including body composition parameters, tumor markers and stress status indicators in patients in modeling group during neoadjuvant chemotherapy; (2) follow-up and survival of patients; (3) analysis of risk factor affecting prognosis of patients in modeling group; (4) construc-tion and comparison of prognostic prediction models; (5) evaluation of prognostic prediction models. Follow-up was conducted using outpatient examination, telephone interview and mail communication to detect postoperative survival of patients up to April 2021. Measurement data with normal distribution were represented as Mean± SD. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers. Univariate and multivariate analysis were performed using the COX proportional hazard model. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. The Log-rank test was used for survival analysis. Results:(1) Changes of indicators including body composition parameters, tumor markers and stress status indicators in patients in modeling group during neoadjuvant chemotherapy: the subcutaneous adipose index, visceral adipose index, muscle index, carcinoem-bryonic antigen, CA19-9, body mass index, prognostic nutritional index and modified systemic inflammation score of 304 gastric cancer patients in the modeling group before neoadjuvant chemotherapy were 31.2 cm 2/m 2(range, 0.6?96.0 cm 2/m 2), 25.1 cm 2/m 2(range, 0.1?86.3 cm 2/m 2), 47.1 cm 2/m 2(range, 27.6?76.6 cm 2/m 2), 43.2 μg/L(range, 0.2?1 000.0 μg/L), 108.7(range, 0.6? 1 000.0)U/mL, 21.9 kg/m 2(range, 15.6?29.7 kg/m 2), 46.8(range, 28.6?69.0), 1.0±0.8, respectively. The above indicators of 304 gastric cancer patients in the modeling group before radical gastrec-tomy were 32.5 cm 2/m 2(range, 5.1?112.0 cm 2/m 2), 25.4 cm 2/m 2(range, 0.2?89.0 cm 2/m 2), 47.0 cm 2/m 2(range, 16.8?67.0 cm 2/m 2), 17.0 μg/L(range, 0.2?1 000.0 μg/L), 43.9 U/mL(range, 0.6?1 000.0 U/mL), 21.6 kg/m 2(range, 31.1?29.0 kg/m 2), 47.7(range, 30.0?84.0), 1.0±0.8, respectively. The changing value of above indicators of 304 gastric cancer patients in the modeling group during neoadjuvant chemotherapy were 1.4 cm 2/m 2(range, ?31.0?35.1 cm 2/m 2), 0.2 cm 2/m 2(range, ?23.5?32.6 cm 2/m 2), ?0.1 cm 2/m 2(range, ?18.2?15.9 cm 2/m 2), ?26.2 μg/L(range, ?933.5?89.9 μg/L), ?64.9 U/mL(range, ?992.1?178.6 U/mL), ?0.3 kg/m 2(range, ?9.7?7.1 kg/m 2), 0.9(range, ?27.1?38.2), 0.0±0.8, respec-tively. (2) Follow-up and survival of patients: 284 of 304 patients in the modeling group were followed up for 3 to 130 months, with a median follow-up time of 36 months. During follow-up, 130 cases died of tumor recurrence and metastasis and 9 cases died of non-tumor causes. The 5-year overall survival rate was 54.6%. Fifty-two of 58 patients in the validation group were followed up for 2 to 91 months, with a median follow-up time of 29 months. During follow-up, 21 cases died with the 5-year overall survival rate of 63.8%. (3) Analysis of risk factor affecting prognosis of patients in modeling group: results of univariate analysis showed that the postoperative pathological type and postoperative pathological staging were related factors affecting 5-year overall survival rate [ hazard ratio=1.685, 2.619, 95% confidence interval(CI): 1.139?2.493, 1.941?3.533, P<0.05] and 5-year progression free rate survival of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio=1.468, 2.577, 95% CI: 1.000?2.154, 1.919?3.461, P<0.05). Results of multivariate analysis showed that the postoperative pathological type and postoperative pathological staging were independent influencing factors for 5-year overall survival rate of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio=1.508, 2.287, 95% CI: 1.013?2.245, 1.691?3.093, P<0.05) and the postoperative patholo-gical staging was an independent influencing factor for 5-year progression free survival rate of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio= 2.317,95% CI: 1.719?3.123, P<0.05). (4) Construction and comparison of prognostic prediction models: the area under curve (AUC) of prognostic prediction model of subcutaneous adipose index changing value, visceral adipose index changing value, carcinoembryonic antigen changing value, CA19-9 changing value, body mass index changing value, prognostic nutritional index changing value, modified systemic inflammation score changing value for 304 gastric cancer patients in the modeling group were 0.549(95% CI: 0.504?0.593), 0.501(95% CI: 0.456?0.546), 0.566(95% CI: 0.521?0.610), 0.519(95% CI: 0.474?0.563), 0.588(95% CI: 0.545?0.632), 0.553(95% CI: 0.509?0.597), 0.539(95% CI: 0.495?0.584). The AUC of prognostic prediction model of muscle index changing value was 0.661(95% CI: 0.623?0.705) with significant differences to the AUC of prognostic predic-tion model of subcutaneous adipose index changing value, visceral adipose index changing value, carcinoembryonic antigen changing value, CA19-9 changing value, body mass index changing value, prognostic nutritional index changing value, modified systemic inflammation score changing value, respectively ( Z=3.960, 5.326, 3.353, 4.786, 2.455, 3.448, 3.987, P<0.05). The optimum cut-off value was 0.7 cm 2/m 2 for prognostic prediction model of muscle index changing. Kaplan-Meier survival curve showed there were significant differences of overall survival and progression free survival for gastric cancer patients with subcutaneous adipose index changing value <0.7 cm 2/m 2 and ≥0.7 cm 2/m 2 in the modeling group ( χ2 =27.510, 21.830, P<0.05). The nomogram prognostic prediction model was cons-tructed based on 3 prognostic indicators including muscle index change value combined with postoperative pathological type and postoperative pathological staging and the AUC of nomogram prognostic prediction model were 0.762(95% CI: 0.708?0.815) and 0.788(95% CI: 0.661?0.885) for the modeling group and the validation group, respectively. The AUC of postoperative pathological staging prognostic prediction model were 0.706(95% CI: 0.648?0.765) and 0.727(95% CI: 0.594?0.835)for the modeling group and the validation group, respectively. There were significant differences of the AUC between the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging and the postoperative pathological staging prognostic prediction model in the modeling group and the validation group, respectively ( Z=3.522, 1.830, P<0.05). (5) Evaluation of prognostic prediction models: the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging showed that patients with score of 0-6 were classified in the low risk group, patients with score of >6 and ≤10 were classified in the moderate-low risk group, patients with score of >10 and ≤13 were classified in the moderate-high risk group and patients with score of >13 were classified in the high risk group. Kaplan-Meier survival curve showed there were significant differences of the overall survival between the low risk group, moderate-low risk group, moderate-high risk group and high risk group patients in the modeling group and the validation group, respectively ( χ2 =75.276, 14.989, P<0.05). Results of decision making curve showed the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging had better clinical utility than the postoperative pathological staging prognostic prediction model in the modeling group and the validation group. Conclusions:The muscle index changing value of gastric cancer patient during neoadjuvant chemotherapy can be used as a prognostic indicator for gastric cancer patient prognosis after radical gastrectomy. The risk score of the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging can be used to evaluate the survival and prognosis of gastric cancer patients after radical gastrectomy.

Objective To observe the value of 5.0T MRI in measuring the volumes of hippocampal formation(HF)subfields in healthy adults.Methods Cranial high-resolution TIWI were prospectively obtained in 23 healthy adult volunteers using 5.0T and 3.0T MR scanners,respectively.HF was divided into 38 subfields,and then the volume of each subfield was measured using FreeSurfer software.The volumes of HF subfield based on 5.0T and 3.0T MR T1WI were compared,and the correlations of the outcomes were analyzed.Results Significant differences of the volumes of bilateral hippocampal tails,left parasubiculum,left molecular layer of hippocampal head,left granular cell-molecular layer-dentate gyrus head,right granular cell-molecular layer-dentate gyrus body,left cornu Ammonis(CA)1 head,left CA3 head,left CA4 head,right fimbria of hippocampus and left hippocampus amygdala transition area were found between 5.0T and 3.0T T1WI(all P＜0.05).The volumes of HF subfields measured based on 5.0T and 3.0T T1WI were moderately to highly positively correlated(all r＞0.5,all P＜0.01).Conclusion 5.0T MRI could be used to measure the volume of HF subfield in adults.

Objective To observe the value of 5.0T MRI for quantifying proton density fat fraction(PDFF)of liver.Methods Liver chemical shift encoded(CSE)MR scanning were prospectively performed using 5.0T,3.0T and 1.5T scanner in 30 volunteers,respectively,and CSE-PDFF were measured.Then MR spectroscopy(MRS)were performed using 5.0T and 1.5T scanner,respectively,and MRS-PDFF were also measured.The consistency of liver PDFF measured on different images was observed,and the value of 5.0T MRI for liver PDFF was analyzed.Results The overall consistencies of liver CSE-PDFF measured with 5.0T,3.0T and 1.5T MR scanner were all good(all ICC＞0.75,all P＜0.001).The consistency of liver CSE-PDFF based on 5.0T and 3.0T,1.5T MR scanner were both good(ICC=0.989,0.992,both P＜0.001).The overall consistencies of CSE-PDFF based on 5.0T MR and MRS-PDFF based on 5.0T and 1.5T MR were both good(both ICC＞0.75,both P＜0.001).CSE-PDFF had good consistency with MRS-PDFF based on same 5.0T MR scanner(ICC=0.988,P＜0.001),and CSE-PDFF based on 5.0T had good consistency with MRS-PDFF based on 1.5T MR scanner(ICC=0.978,P＜0.001).Conclusion 5.0T MRI had high value for quantifying liver PDFF.

Objective To observe the consistency of 5.0T and 1.5T MR spectroscopy(MRS)for quantitating proton density fat fraction(PDFF)of liver.Methods Lipid emulsion models with lipid content of 0,5％,10％,15％,20％,25％and 30％were prepared.1H-MRS were collected using 5.0T and 1.5T MR scanners,respectively,and PDFF were obtained with jMRUI software.Totally 23 people,including 11 cases of fatty liver and 12 healthy adults were prospectively collected,and volume of interest(VOI)in the liver were selected to acquire 1H-MRS,and PDFF were obtained with jMRUI software and corresponding workstation,respectively.The consistencies of PDFF measured with different methods were analyzed.Results PDFF of lipid emulsion models with lipid content of 0,5％,10％,15％,20％,25％and 30％measured with jMRUI software and workstations based on 5.0T and 1.5T 1H-MRS all had good consistencies and being positively correlated,so were PDFF of liver tissue measured with jMRUI software and workstations based on 5.0T and 1.5T 1H-MRS.Conclusion 5.0T and 1.5T 1H-MRS had good consistency for quantitating liver PDFF.Measuring liver PDFF with workstation in clinical practice was helpful to simplifying workflow.

Objective To demonstrate the changes in flexor digitorum and extensor digitorum tension in the affected hands with shear-wave elastography (SWE) before and after manual digitorum sensory stimulation (MDSS) in hemiplegic patients with stroke. Methods A total of 51 hemiplegic post-stroke inpatients in the Department of Rehabilitation Medicine in Second Hospital of Anhui Medical University from April to June, 2020, underwent MDSS completed by a researcher who used a bare thumb and index finger to squeeze each nail bed as well as the sides of each fingertip in the affected hand. The stimulation intensity was the minimum that could cause finger extension without obvious pain, and the interval between two stimulations was five to ten seconds. Muscular tension of the flexor digitorum superficialis, flexor digitorum profundus, flexor pollicis longus and extensor digitorum were assessed with modified Ashworth Scale (MAS) and shear-wave velocity (SWV) of SWE on the affected side before and immediately after MDSS. MAS score was -1 as low muscular tension. Results The MAS scores of all the muscles significantly reduced after MDSS (|Z| > 2.843, P < 0.001); while the changes of SWV were not significantly in all the muscles with initially MAS score of 0 or -1 (t < 1.052, P > 0.05), and it reduced in those muscles with initial MAS scores of one to three (t > 2.672, P < 0.05). The SWV were positively correlated with the MAS scores both before and after MDSS (r > 0.334, P < 0.05). Conclusion MDSS can effectively, immediately, and safely relieves muscle spasms of the flexor digitorum and facilitate active finger extension in the affected hand for hemiplegic patients with stroke. SWE is useful for quantitatively and objectively evaluating muscular tension in the affected hand for hemiplegic patients with stroke.