Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective Fasting hypometabolism regulation technology has broad application potential in long-term space flight and survival in extreme extraterrestrial environments.In-depth research on the substrate conversion of energy metabolism and the formation of new steady states under fasting hypometabolism will provide theoretical basis and experimental data support for formulating effective prolonged fasting application mode.Methods 30 SD rats were randomly divided into control group and fasting group(fasting for 1,2,3,and 5 days).Blood biochemical examination,qRT-PCR,and western blotting were performed to analyze the body weight,blood biochemistry,and expression changes of genes and proteins related to glucose and lipid metabolism during different fasting periods.Results Prolonged fasting significantly reduced the body weight,blood glucose,and triglyceride levels of rats;increased the blood ketone level,and replaced glucose as the main energy substance in the body.There are temporal and tissue-specific changes as a whole.Hepatic and renal gluconeogenesis play major roles respectively during different fasting periods.As the fasting time prolongs,the level of hepatic gluconeogenesis gradually decreases,the content of FFA in the blood increases,the expression level of genes related to fat synthesis decreases,fatty acid oxidation is enhanced,and the expression level of the key gene HMGCS2 for ketone body generation increases.Conclusion During prolonged fasting,there is a significant conversion of glucose-ketone energy supply substrates,and a new steady state of energy metabolism mainly supplied by ketone bodies is formed within 2-5 days of fasting.The body maintains a low metabolic state by regulating changes in key genes in pathways such as glucose and lipid metabolism.

Objective:To explore the efficacy, safety, and feasibility of single port laparoscopic liver resection via umbilical cord, and summarize its surgical experience.Method:A retrospective analysis was conducted on 39 patients who underwent liver resection surgery at the Department of Hepatobiliary and Pancreatic Surgery, the Affiliated Hospital of Qingdao University from February 2022 to September 2023. There were 19 patients in the transumbilical single-port laparoscopic group, including 5 males and 14 females, aged (49.6±2.5) years. There were 20 patients in the multi-port laparoscopic group, including 7 males and 13 females, aged (49.9±3.1) years. The intraoperative blood loss, operation time, intestinal recovery time, postoperative hospital stay and postoperative complications were compared between the single-port group and multi-port group.Results:All 39 patients successfully completed the surgery without any additional foramen or conversion to open surgery. The operation time of the single hole group (166.3±59.0) min was longer than that of the multi-port group (123.2±48.0) min, and the difference was statistically significant ( t=2.50, P=0.020). There were no statistically significant differences in intraoperative blood loss, intestinal recovery time, postoperative hospital stay, and postoperative complications between these two groups (all P>0.05). All patients had no postoperative complications such as bleeding, infection, or bile leakage. Follow up for 3~21 months showed no recurrence of primary diseases such as hepatic hemangioma, hepatic adenoma, and intrahepatic bile duct stones. The aesthetic effect of the umbilical incision in the single orifice group was significant, and patient satisfaction was 100%. Conclusion:Umbilical single-port laparoscopic liver resection surgery is safe and feasible, with significant minimally invasive and aesthetic effects.

Objective:To evaluate the acute effects of different foot-strike patterns of running on knee cartilage in amateur marathon runners using the T 2* mapping technique. Methods:From November 2021 to February 2022, 29 amateur marathon runners were recruited in Hangzhou. The gait analysis was performed to determine their landing patterns, then the runners were divided into the fore-foot strike (FFS) group (11 cases) and the rear-foot strike (RFS) group (18 cases). The MRI of the knee joint of the dominant leg was performed before and 30 min after running, and the volume, thickness, and T 2* value of each division of knee cartilage were measured. Independent samples t-tests were used to compare the differences in baseline data before running between the groups, and paired samples t-tests were used to compare the differences before and after running within the groups. Results:The difference in knee cartilage volume and thickness between the FFS and RFS groups before running was not statistically significant ( P>0.05), and the T 2* value of the femur medial posterior in the RFS group was higher than that of the FFS group ( t=-2.47, P=0.020). Compared with pre-running, cartilage thickness of the tibia lateral posterior decreased in the FFS group after running ( t=-2.96, P=0.016), and cartilage thickness of the tibia lateral posterior and patella lateral central decreased in the RFS group ( t=-3.25, -3.02, P=0.004, 0.007). Cartilage volume of the tibia lateral posterior decreased in the FFS group after running ( t=-2.58, P=0.030), and the cartilage volume of the patella lateral central decreased in the RFS group ( t=-2.74, P=0.013). The differences in T 2* values of cartilage in each region before and after running were not statistically significant in the FFS group ( P>0.05), whereas in the RFS group, the cartilage T 2* values in the femur medial posterior, femoral trochanter central, femoral trochanter lateral, femur lateral central, tibia lateral anterior, tibia medial posterior, tibia medial central, and tibia medial anterior decreased ( P<0.05). Conclusions:After running, FFS showed changes in morphology and biochemical composition only in some subregions of tibial cartilage, whereas most of the femoral cartilage, patellar cartilage, and tibial cartilage regions were altered by RFS. The RFS pattern introduces greater acute changes in cartilage in the knee joint.

Objective:To explore the current situation of the use of assistive devices for mobility in patients with knee osteoarthritis and analyze its influencing factors.Methods:Using the convenient sampling method, patients with knee osteoarthritis who were admitted to the Orthopedics Department of a Class Ⅲ Grade A general public hospital in Zhengzhou from January to July 2019 were selected as the research objects. The general information questionnaire, the Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST) Scale and other scales were used to conduct surveys. Univariate analysis and binary Logistic regression analysis were used to investigate the influencing factors of the use of assistive devices for mobility in patients with knee osteoarthritis. In this study, a total of 347 questionnaires were distributed and 340 valid questionnaires were returned. The effective recovery rate was 97.98%.Results:The usage rate of assistive devices for mobility in patients with knee osteoarthritis was 26.47% (90/340) , 5.55% (5/90) of the patients were recommended using assistive devices for mobility by medical staff, 2.22% (2/90) of the patients obtained assistive devices for mobility through professional adaptation, and 81.11% (73/90) of the patients did not receive health education on assistive devices for mobility. The total mean score of the QUEST Scale for 90 patients with knee osteoarthritis using assistive devices for mobility was (3.17±0.34) . Binary Logistic regression analysis showed that age, education level, monthly income, pain intensity, the activity of daily living status and social support were influencing factors for the use of assistive devices for mobility in patients with knee osteoarthritis ( P<0.05) . Conclusions:Patients with knee osteoarthritis have a lower usage rate of assistive devices for mobility, receive fewer professional assistive devices for mobility services, and have lower satisfaction with them. There are many factors affecting whether or not to use assistive devices for mobility. Medical staff should pay more attention to and guide the use of assistive devices for mobility for patients with knee osteoarthritis.

Objective: To develop a native adaptive behavior scale for children with autism spectrum disorder(ASD) and to explore its reliability and validity. Methods: Items of ASD adaptive behavior rating scale were selected based on the scale development theory, ASD knowledge and adaptive behavior concept through preliminary survey and statistical, and 301 ASD children aged 2 to 12 from hospitals in Guangzhou, Huizhou, Shenzhen who met the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition were selected, data was analyzed by the item analysis. Results: After item analysis and exploratory factor analysis, the final version of the scale contains 58 items, and 64.24% of the total variation could be explained by 6 factors; The Cronbach’s α coefficient of the full scale was 0.98, and the coefficient value of dimen sional factors were 0.94，0.93，0.91，0.95，0.88，0.94. The test-test reliability r of full scale was 0.86, the r of the factor were 0.88，0.81，0.81，0.87，0.88，0.79. The criterion-related validity r with the ABAS-Ⅱ scale was -0.77, the criterion-related validity r with the CARS scale was 0.64. Conclusion The ASD Child Adaptive Behavior Scale showed good reliability and validity, and could be used widely.