Objective:To investigate the feasibility and clinical value of artificial intelligence-assisted compressed sensing (ACS) technology in accelerating MR simulation (MR-sim) for radiotherapy of nasopharyngeal carcinoma (NPC).Methods:Thirty patients with NPC scheduled to receive radical radiotherapy at Sun Yat-sen University Cancer Center were prospectively enrolled. All patients underwent head and neck MR-sim on a 3.0 T scanner, with axial T 1 weighted imaging (WI), T 2WI, contrast-enhanced T 1WI, and fat-suppressed contrast-enhanced T 1WI images acquired using both ACS and parallel imaging (PI) techniques. Paired-sample t tests or rank-sum tests were used to compare scan time, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of MR-sim images between the two techniques. A 5-point Likert scale was applied to evaluate tumor lesion visualization, lesion margin clarity, artifacts, and overall image quality, with chi-square tests used to compare subjective image quality scores between the two techniques. Tumor target volumes were delineated on MR-sim images obtained by both ACS and PI techniques after fusion with CT simulation images, and consistency was assessed using the Dice similarity coefficient (DSC). Results:For both individual sequences and overall protocols, ACS significantly reduced MR-sim acquisition time compared with PI ( P < 0.001). The total acquisition time with ACS was (378.60±17.07) s versus (694.93±17.07) s with PI, representing a 45.52% time reduction. SNR, CNR, tumor lesion identification, margin clarity, artifacts, and overall image quality scores of MR-sim images did not differ significantly between ACS and PI ( P > 0.05). Tumor target volumes delineated from ACS- and PI-based MR-sim images showed high consistency after fusion with CT simulation images ( P > 0.05), with mean DSC values of primary tumors and metastatic cervical lymph nodes approaching 1. Conclusion:Compared with conventional MR acceleration methods (PI), ACS enables faster MR-sim acquisition in NPC without compromising image quality or the accuracy of tumor target delineation.

Objective:To investigate the feasibility and clinical value of artificial intelligence-assisted compressed sensing (ACS) technology in accelerating MR simulation (MR-sim) for radiotherapy of nasopharyngeal carcinoma (NPC).Methods:Thirty patients with NPC scheduled to receive radical radiotherapy at Sun Yat-sen University Cancer Center were prospectively enrolled. All patients underwent head and neck MR-sim on a 3.0 T scanner, with axial T 1 weighted imaging (WI), T 2WI, contrast-enhanced T 1WI, and fat-suppressed contrast-enhanced T 1WI images acquired using both ACS and parallel imaging (PI) techniques. Paired-sample t tests or rank-sum tests were used to compare scan time, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of MR-sim images between the two techniques. A 5-point Likert scale was applied to evaluate tumor lesion visualization, lesion margin clarity, artifacts, and overall image quality, with chi-square tests used to compare subjective image quality scores between the two techniques. Tumor target volumes were delineated on MR-sim images obtained by both ACS and PI techniques after fusion with CT simulation images, and consistency was assessed using the Dice similarity coefficient (DSC). Results:For both individual sequences and overall protocols, ACS significantly reduced MR-sim acquisition time compared with PI ( P < 0.001). The total acquisition time with ACS was (378.60±17.07) s versus (694.93±17.07) s with PI, representing a 45.52% time reduction. SNR, CNR, tumor lesion identification, margin clarity, artifacts, and overall image quality scores of MR-sim images did not differ significantly between ACS and PI ( P > 0.05). Tumor target volumes delineated from ACS- and PI-based MR-sim images showed high consistency after fusion with CT simulation images ( P > 0.05), with mean DSC values of primary tumors and metastatic cervical lymph nodes approaching 1. Conclusion:Compared with conventional MR acceleration methods (PI), ACS enables faster MR-sim acquisition in NPC without compromising image quality or the accuracy of tumor target delineation.

Inflammatory response is one of the key mechanisms of cerebral ischemia/reperfusion injury(CIRI),which seriously affects the prognosis of patients.In recent years,it has been found that long non-coding RNA(LncRNA)is closely related to the inflammatory response of cerebral ischemia/reperfusion injury,and can affect the development and prognosis of CIRI through multiple pathways.The article reviews and summarizes the LncRNAs and their action pathways affecting the inflammatory response in CIRI.The article preliminary explores the possible mechanisms by which LncRNAs affect CIRI,and also briefly summarizes the drugs related to LncRNA therapy.In order to provide new therapeutic targets and research ideas for the treatment of CIRI.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective:To compare the difference between breast bracket combined with polyurethane foam and single polyurethane foam in the accuracy of immobilization, providing a better immobilization for breast cancer radiotherapy.Methods:Fifty breast cancer patients who received radiotherapy in Sun Yat-sen University Cancer Center from March 2021 to July 2021 were selected. Among them, 25 patients were immobilized with polyurethane foam (foam group), and the other 25 patients were immobilized with polyurethane foam combined with breast bracket (combination group). All patients were scanned by CBCT once a week to obtain setup errors in the SI, LR and AP directions for t-test. The formula M PTV=2.5 Σ+0.7 σ was used to calculate the margin of the planning target volume(M PTV). Results:The setup errors in the foam group were SI (2.0±3.26) mm, LR (0.88±2.76) mm, AP (1.22±3.55) mm, Rtn -0.24°±0.85°, Pitch 0.16°±1.11°, Roll -0.32°±1.05°, and the M PTV were 6.75 mm, 8.46 mm and 8.73 mm, respectively. The setup errors in the combination group were SI (1.0±3.01) mm, LR (0.62±2.74) mm, AP (1.82±3.21) mm, Rtn 0.64°±0.59°, Pitch 0.71°±1.22°, Roll 0.29°±0.73°, and the M PTV were 6.35 mm, 7.47 mm, and 7.61 mm, respectively. After comparing the setup errors in the three-dimensional directions between two groups, the t value of LR, SI, AP and Rtn, Pitch, Roll was -4.304, -2.681, 1.384, and -9.457, -3.683, -5.323, respectively. And the differences in the LR, SI, Rtn, Pitch and Roll directions were statistically significant (all P<0.05). Conclusions:The immobilization effect of polyurethane foam combined with breast bracket is better and the M PTV is also smaller than those of polyurethane foam alone. Therefore, it is recommended to use polyurethane foam combined with breast bracket for immobilization in breast cancer radiotherapy.

The radiation risk caused by CT examination is of great concern. Organ dose is considered to be the most significant technical parameter for quantifying the patient radiation dose and assessing the corresponding risk. At present, the methods to obtain patient organ dose caused by CT examination mainly include physical phantom measurement, direct human body measurement, dose conversion coefficient, Monte Carlo simulation, and dose calculation software. Although different methods have their own characteristics and application, the individualization of organ dose is always the goal of radiation protection and dosimetry research. Patient-specific phantom developed with artificial intelligence and GPU-accelerated Monte Carlo simulation make it possible to calculate the patient-specific organ dose, and the patient-specific organ dose extrapolated by the CT detector signal provides a new solution.

Purpose: This study attempted to detect the changes of cervical cancer screening rate and willingness among female migrants, and the associated socio-demographic factors in Shenzhen city. Materials and Methods: Two citywide surveys were conducted using a multistage random cluster sampling method in 2011 and 2014, respectively. Data on demographic characteristics, screening participation, and willingness to screen were collected. Logistic regression models were applied to detect possible associated socio-demographic characteristics, and their variations with survey years. Results: In total, 12,017 female migrants were enrolled, with a mean age (standard deviation) of 36.73 (6.55) years. From 2011 to 2014, the screening rate increased (25.8% vs. 35.1%, p < 0.001), while the willingness to screen remained stable (82.2% vs. 82.8%, p=0.46). Overall, socio-demographic characteristics of female migrants, including age, marital status, education, monthly income, employment, and medical insurance, were found to be positively associated with screening participation. Similar impacts in relation to willingness were observed except for age. However, these associations varied with survey years, mainly in the contributions of education and monthly income to screening participation, as well as age, monthly income, and medical insurance to willingness of being screened. Conclusion Identifying changes of associated socio-demographic factors precisely is warranted of necessity, which provides novel clues to adjust targeted actions regularly in promoting cervical cancer screening participation among female migrants in Shenzhen.

Objective:To explore the protective effect and related mechanism of rebamipide on non-steroid anti-inflammatory drug (NSAID) related small intestinal mucosal injury.Methods:A total of 21 C57BL/6 mice were selected and by random number table method, they were divided into negative control group (0.9% NaCl gavage for four days), indomethacin modeling group (20 mg/kg indomethacin gavage for four days) and rebamipide intervention group (20 mg/kg indomethacin gavage for four hours and then 320 mg·kg -1·d -1 rebamipide gavage for four days), seven mice in each group. After modeling, the injury of mice intestinal mucosa of indomethacin modeling group and rebamipide intervention group was evaluated by gross observation as well as pathological analysis. The serum levels of interleukin (IL)-6, IL-10, trefoil factor 3 (TFF3), prostaglandin E2 (PGE2) and epidermal growth factor (EGF) in mice were detected by enzyme-linked immunosorbent assay (ELISA). The expression of IL-6, IL-10, TFF3, cyclooxygenase 2( COX2) and EGF at mRNA level of mice small intestinal tissues were examined by real-time quantitative polymerase chain reaction (qRT-PCR). And the relative expression of TFF3, COX2 and EGF at protein level of mice small intestinal tissues were determined by Western blotting. Levene test and independent sample t test were used for statistical analysis. Results:The scores of gross observation and histopathology of mice small intestinal mucosa injury of rebamipide intervention group were both lower than those of indomethacin modeling group (2.80±0.45 vs. 4.60±1.14, 1.67±0.52 vs. 3.00±0.71), and the differences were statistically significant ( t=2.667 and 3.618, P=0.029 and 0.006). The mouse serum level of IL-6 and the expression of IL-6 at mRNA level in intestinal tissues of indomethacin modeling group were both higher than those of the negative control group, however the serum level of IL-10 was lower than that of the negative control group ((48.83±5.40) ng/L vs. (40.96±5.92) ng/L, 5.23±2.36 vs. 1.12±0.56, (168.50±10.57) ng/L vs. (186.30±7.77) ng/L), and the differences were statistically significant ( t=2.307, 3.372 and 3.366; P=0.047, 0.007 and 0.012). The expression of IL-6 at mRNA level in mice small intestinal tissues of rebamipide intervention group was lower than that of indomethacin modeling group (1.74±0.82 vs. 5.23±2.36), however, the expression of IL-10 at mRNA level was higher than that of indomethacin modeling group (6.44±3.46 vs. 1.22±0.83), and the differences were statistically significant ( t=3.409 and 3.025, P=0.008 and 0.014). The serum levels of TFF3, PGE2 and EGF, the expression of TFF3 at mRNA level of small intestinal tissues, the relative expression of COX2 and EGF at protein level of small intestinal tissues of indomethacin modeling group were all lower than those of the negative control group ((131.20±16.37) ng/L vs. (150.30±9.66) ng/L, (32.68±6.88) ng/L vs. (41.51±3.20) ng/L, (112.70±17.17) ng/L vs. (138.20±10.10) ng/L, 0.43±0.22 vs. 1.20±0.50, 0.33±0.25 vs. 1.30±0.43, 0.28±0.19 vs. 1.15±0.10), and the differences were statistically significant ( t=2.290, 2.645, 2.867, 3.097, 3.405 and 7.106; P=0.048, 0.021, 0.025, 0.017, 0.027 and 0.002). The mice serum levels of PGE2 and EGF, expression of TFF3, COX2 and EGF at mRNA level of small intestinal tissues, as well as the expression of TFF3 and EGF at protein level of small intestinal tissues of rebamipide intervention group were all higher than those of indomethacin modeling group ((43.55±5.28) ng/L vs. (32.68±6.88) ng/L, (153.30±15.66) ng/L vs. (112.70±17.17) ng/L, 2.48±1.70 vs. 0.43±0.22, 2.95±1.56 vs. 0.88±0.45, 3.97±2.54 vs. 0.98±0.76, 1.47±0.26 vs. 0.72±0.35, 1.08±0.36 vs. 0.28±0.19), and the differences were statistically significant ( t= 2.711, 3.658, 2.656, 2.856, 2.524, 3.013 and 3.435; P=0.024, 0.008, 0.026, 0.019, 0.033, 0.039 and 0.026). Conclusions:Rebamipide alleviates small intestinal mucosal injury induced by indomethacin by inhibiting the expression of inflammatory factors and promoting the expression of intestinal mucosal protective factors suggesting that rebamipide plays a protective role in NSAID related small intestinal injury by maintaining the chemical barrier of the intestinal mucosal.

Objective To explore the correlation between social support and pregnancy depression in Shenzhen. Methods From August 2018 and June 2020, a structured questionnaire survey was conducted among pregnant women who underwent pregnancy examination in a 3A-grade maternal & child health care hospital. A total of 1 396 questionnaires with complete information were collected. Chi-square test and Wilcoxon rank sum test were used to analyze the baseline characteristics. The odds ratio (OR) and 95% CI confidence interval between social support and pregnancy depression were estimated using logistics regression model. Subgroup analysis was also conducted. Results There were statistically significant differences in education level, medical insurance rate, household registration, family monthly income, proportion of multiparas, proportion of husbands being the only child, pregnancy stress and social support between the depression group and non-depression group. After multi-factors adjustment, the OR (95% CI) of the total social support score was 0.97(95%CI 0.95-0.99), the OR (95% CI) of the objective support dimension was 0.90(95% CI 0.87-0.94), and the P value of the interaction term multiplied by pregnancy term was less than 0.05. According to the stratified analysis of pregnancy, the total score of social support was significantly correlated with the depression status only in the third trimester, with an OR (95% CI) of 0.97 (95% CI 0.94-0.99). The objective support dimension was significantly correlated with depression status in the first and third trimesters, and the OR (95% CI) was 0.78 (95% CI 0.61-0.99) and 0.89 (95% CI 0.84-0.94), respectively. The OR of support utilization score in the third trimester was 0.91 (95% CI 0.83-0.99). Conclusion Social support was negatively correlated with depression during pregnancy and was particularly important in the third trimester. Various dimensions of social support were differentially correlated with pregnancy depression in each trimester. The objective support dimension was particularly important in the first and third trimesters.

Objective:To explore the effects and underlying mechanisms of azintamide on gastric emptying and gastrointestinal hormone secretion in proton pump inhibitor related low gastric acid environment.Methods:A total of 60 rats were selected and randomly divided into low gastric acid control group, low gastric acid model group, low gastric acid and azintamide intervention group, high gastric acid control group, high gastric acid model group and high gastric acid and azintamide intervention group by random number table, with 10 rats in each group. The rats of low gastric acid control group and high gastric acid control group were all treated with 0.9% sodium chloride solution. The rats of low gastric acid model group and high gastric acid model group were established by intraperitoneal injection of 20 mg/kg omeprazole once per day for seven days, and subcutaneous injection of 2 mg/kg penta gastrin once per day for three days, respectively. The rats of low gastric acid and azintamide intervention group and high gastric acid and azintamide intervention group were gavaged with azintamide 50 mg/kg once per day for three days on the basis of low gastric acid model group and high gastric acid model group, respectively. Only the rats in three low gastric acid groups were analyzed. At Day 0, 2nd, 4th, 6th and 8th after modeling, the body weight of rats were compared. After modeling, the weight of gastric contents and pH of gastric fluid was measured and compared, and the peripheral blood levels of pepsinogen A (PGA), gastrin and cholecystokinin (CCK) were detected by enzyme linked immunosorbent assay. One-way analysis of variance and Tukey′s honestly significant difference post-hoc test were used for statistical analysis.Results:The pH value of gastric fluid in low gastric acid model group and low gastric acid and azintamide intervention group were both higher than that in the low gastric acid control group (2.17±0.53, 2.03±0.69 vs. 1.32±0.17), and the differences were statistically significant ( P=0.026 and 0.041, respectively). While there was no significant difference in pH value between the low gastric acid model group and low gastric acid and azintamide intervention group ( P>0.05). On the Day 0, 2nd, 4th, 6th and 8th after modeling, the body weight of rats of low gastric acid control group, low gastric acid model group and low gastric acid and azintamide intervention group was (285.40±10.86), (283.40±6.38), (282.00±5.04) g; (287.10±10.73), (283.20±5.83), (284.00±5.72) g; (292.20±11.18), (281.90±6.23), (289.00±5.82) g; (296.40±11.12), (277.70±6.96), (292.00±6.82) g; (300.80±11.29), (274.30±8.84), (297.00±4.17) g, respectively. On the Day 6th and 8th after modeling, the body weight of rats of low gastric acid model group was lower than that of the low gastric acid control group; and the body weight of rats of low gastric acid and azintamide intervention group was higher than that of low gastric acid model group, and the differences were statistically significant (both P<0.01). On the Day 0, 2nd, 4th, 6th and 8th, there was no statistically significant difference in body weight of rats between low gastric acid and azintamide intervention group and low gastric acid control group ( P>0.05). On the Day 0, 2nd, 4th, there were no statistically significant differences in body weight of rats between low gastric acid and azintamide intervention group and low gastric acid model group, and between low gastric acid model group and low gastric acid control group (both P>0.05). The weight of gastric contents of low gastric acid model group was heavier than that of low gastric acid control group ((2.36±0.11) g vs. (1.85±0.20) g), the weight of gastric contents of low gastric acid and azintamide intervention group was lighter than that of low gastric acid model group ((1.87±0.42) g vs. (2.36±0.11) g), and the differences were statistically significant ( P=0.019 and 0.016, respectively), and there was no statistically significant difference in weight of gastric contents between the low gastric acid and azintamide intervention group and the low gastric acid control group ( P>0.05). The peripheral blood level of PGA of rats of low gastric acid model group was lower than that of low gastric acid control group ((551.80±190.00) ng/L vs. (857.00±164.80) ng/L), while the peripheral blood level of PGA of the low gastric acid and azintamide intervention group was higher than that of the low gastric acid model group ((799.90±97.80) ng/L vs. (551.80±190.00) ng/L), and the differences were statistically significant ( P=0.011 and 0.037, respectively). There was no significant difference in peripheral blood level of PGA between the low gastric acid control group and the low gastric acid and azintamide intervention group ( P>0.05). The peripheral blood level of gastrin of the low gastric acid model group was higher than that of the low gastric acid control group ((49.31±11.93) ng/L vs. (35.59±5.29) ng/L), and the CCK level of the low gastric acid model group was lower than that of low gastric acid control group ((10.26±5.32) ng/L vs. (25.55±11.62) ng/L), and the differences were statistically significant ( P=0.037 and 0.035, respectively). The peripheral blood level of gastrin of the low gastric acid and azintamide intervention group was lower than that of low gastric acid model group ((35.65±6.49) ng/L vs. (49.31±11.93) ng/L), the level of CCK of the low gastric acid and azintamide intervention group was higher than that of low gastric acid model group ((27.59±11.22) ng/L vs. (10.26±5.32) ng/L), and the differences were statistically significant ( P=0.048 and 0.021, respectively). There were no significant differences in CCK and gastrin between low gastric acid and azintamide intervention group and low gastric acid control group (both P>0.05). Conclusion:Azintamide regulates the levels of gastrointestinal hormones CCK and gastrin under the condition of low gastric acid and affects the expression of pepsinogen A, thereby promoting gastric emptying in a low gastric acid environment.