Objective To analyze the death status and main causes of death among children under 5 years old in Changsha from 2016 to 2021, and to provide a scientific basis for formulating preventive measures for children's health care. Methods The data of 1 761 deaths of children under 5 years old in Changsha City from 2016 to 2021 were collected, and the mortality trend, the order of causes of death and the utilization of pre-death medical care services were retrospectively analyzed. Results The 7-day neonatal mortality, 28-day neonatal mortality, 0-1-year-old neonatal mortality, and the mortality rate of children under 5 years old (U5MR) in Changsha City from 2016 to 2021 were 0.76‰, 1.28‰, 2.41‰, and 3.86‰, respectively. All the mortality rates showed a decreasing trend (P<0.05). U5MR in males was significantly higher than that in females (P<0.05), and U5MR in rural areas was significantly higher than that in urban areas (P<0.05). The top five causes of U5MR were drowning, premature delivery or low birth weight, pneumonia, other congenital anomalies, and accidental asphyxia, respectively. The death places of children under 5 years old were mainly medical and health institutions, and 81.72% of them were treated in hospitals before death. Conclusion From 2016 to 2021, the mortality rate of children under the age of 5 in Changsha City has gradually decreased. Preventing congenital malformations, reducing preterm birth or low birth weight, improving the treatment level of pneumonia, and preventing accidents such as drowning and accidental suffocation are the key to reducing the mortality rate of children under 5 years old.

Objective:To compare and discuss the mid-to-long-term outcomes of mitral valve repair (MVP) versus biological mitral valve replacement (bMVR) in patients aged 60 years and above with rheumatic mitral valve disease.Methods:This is a retrospective cohort study. A total of 765 patients aged 60 years and older, diagnosed with rheumatic mitral valve disease and who underwent MVP or bMVR at Beijing Anzhen Hospital from January 2010 to January 2023, were retrospectively included. Among them, 186 were male and 579 were female, with an age of (66.1±4.5) years (range: 60 to 82 years). Patients were divided into two groups based on the surgical method: the mitral valve repair group (MVP group, n=256) and the bioprosthetic mitral valve replacement group (bMVR group, n=509). A 1∶1 propensity score matching was performed using a caliper value of 0.2 based on preoperative data. Paired sample t-tests, χ2 tests, or Fisher′s exact tests were used for intergroup comparisons. Kaplan-Meier method was employed to plot survival curves and valve-related reoperation rate curves for both groups before and after matching, and Log-rank tests were used to compare the mid-to long-term survival rates and valve-related reoperation rates between the two groups. Results:A total of 765 patients who completed follow-up were ultimately included, with a follow-up period ( M(IQR)) of 5.1(5.0) years (range: 1.0 to 12.9 years). After matching, each group consisted of 256 patients. The incidence of early postoperative atrial fibrillation (39.1% vs. 49.2%, χ2=4.95, P=0.026) and early mortality rates (2.0% vs. 6.2%, χ2=4.97, P=0.026) were lower in the MVP group. Unadjusted Kaplan-Meier analysis showed significantly higher 5-year and 10-year survival rates for the MVP group (92.54% vs. 83.02%, 86.22% vs. 70.19%, Log-rank: P=0.001). After adjustment with propensity scores, the Kaplan-Meier analysis still indicated higher 5-year and 10-year survival rates in the MVP group compared to the bMVR group (92.54% vs. 85.89%, 86.22% vs. 74.83%, Log-rank: P=0.024). There were no significant differences in the rates of valve-related reoperation between the two groups before and after matching (5-year and 10-year reoperation rates pre-matching: 1.75% vs. 0.57%, 5.39% vs. 7.54%, Log-rank: P=0.207; post-matching: 1.75% vs. 0, 5.39% vs. 9.27%, Log-rank: P=0.157). Conclusion:For patients aged 60 years and above with rheumatic mitral valve disease, mitral valve repair offers better mid-to-long-term survival compared to biological valve replacement.

Objective:To compare and discuss the mid-to-long-term outcomes of mitral valve repair (MVP) versus biological mitral valve replacement (bMVR) in patients aged 60 years and above with rheumatic mitral valve disease.Methods:This is a retrospective cohort study. A total of 765 patients aged 60 years and older, diagnosed with rheumatic mitral valve disease and who underwent MVP or bMVR at Beijing Anzhen Hospital from January 2010 to January 2023, were retrospectively included. Among them, 186 were male and 579 were female, with an age of (66.1±4.5) years (range: 60 to 82 years). Patients were divided into two groups based on the surgical method: the mitral valve repair group (MVP group, n=256) and the bioprosthetic mitral valve replacement group (bMVR group, n=509). A 1∶1 propensity score matching was performed using a caliper value of 0.2 based on preoperative data. Paired sample t-tests, χ2 tests, or Fisher′s exact tests were used for intergroup comparisons. Kaplan-Meier method was employed to plot survival curves and valve-related reoperation rate curves for both groups before and after matching, and Log-rank tests were used to compare the mid-to long-term survival rates and valve-related reoperation rates between the two groups. Results:A total of 765 patients who completed follow-up were ultimately included, with a follow-up period ( M(IQR)) of 5.1(5.0) years (range: 1.0 to 12.9 years). After matching, each group consisted of 256 patients. The incidence of early postoperative atrial fibrillation (39.1% vs. 49.2%, χ2=4.95, P=0.026) and early mortality rates (2.0% vs. 6.2%, χ2=4.97, P=0.026) were lower in the MVP group. Unadjusted Kaplan-Meier analysis showed significantly higher 5-year and 10-year survival rates for the MVP group (92.54% vs. 83.02%, 86.22% vs. 70.19%, Log-rank: P=0.001). After adjustment with propensity scores, the Kaplan-Meier analysis still indicated higher 5-year and 10-year survival rates in the MVP group compared to the bMVR group (92.54% vs. 85.89%, 86.22% vs. 74.83%, Log-rank: P=0.024). There were no significant differences in the rates of valve-related reoperation between the two groups before and after matching (5-year and 10-year reoperation rates pre-matching: 1.75% vs. 0.57%, 5.39% vs. 7.54%, Log-rank: P=0.207; post-matching: 1.75% vs. 0, 5.39% vs. 9.27%, Log-rank: P=0.157). Conclusion:For patients aged 60 years and above with rheumatic mitral valve disease, mitral valve repair offers better mid-to-long-term survival compared to biological valve replacement.

Biliary fibrosis (BF) is the result of pathological repair of bile tract injury, characterized by thickening and sclerosis of the bile duct wall and progressive stricture of the lumen, which may ultimately lead to serious adverse outcomes such as biliary obstruction, biliary cirrhosis, liver failure, and hepatobiliary malignancies. Current research describes BF as a pathological feature of certain bile tract diseases, lacking a systematic summary of its etiology, pathophysiology, molecular mechanisms, and treatment. BF is a common but easily neglected disease state in biliary system, which may promote the development and progression of hepatobiliary diseases through abnormal repair mechanism after pathological biliary tract injury. Based on the latest research progress from both domestic and international perspectives, the authors review the concept, clinical manifestation, etiology, pathogenesis, and therapeutic strategies of BF to provide a reference for clinical physicians.

BACKGROUND/OBJECTIVES: The study examined the association between homocysteine and diabetes mellitus in patients with H-type hypertension and assessed the possible effect modifiers. SUBJECTS/METHODS: This cross-sectional study included 1,255 eligible participants in the ‘H-type Hypertension Management and Stroke Prevention Strategic International Science and Technology Innovation Cooperation Project’ among rural Chinese people with H-type hypertension. A multivariate logistic regression model was used to evaluate the relationship between homocysteine and diabetes mellitus. RESULTS: The mean level of total homocysteine (tHcy) in the diabetes mellitus population was 19.37 μmol/L, which was significantly higher than the non-diabetic patients (18.18 μmol/L). When tHcy was analyzed as a continuous variable, the odds ratio (OR) of diabetes was 1.17 (95% confidence interval [CI], 1.01–1.35; per interquartile range). When tHcy was stratified according to the quintile, the ORs for diabetes were 2.86 (95% CI, 1.22–6.69) in the highest quintile (tHcy ≥ 20.60 μmol/L) compared to the reference group (tHcy < 12.04 μmol/L). When tHcy was grouped by 15 μmol/L and 20 μmol/L, patients with tHcy ≥ 20 μmol/L had a significantly (P = 0.037) higher risk of diabetes (OR, 2.03; 95% CI, 1.04–3.96) than in those with tHcy < 15 μmol/L. Subgroup analysis showed that the tHcy-diabetes association was unaffected by other variables. CONCLUSION In this study of rural Chinese people with H-type hypertension, the tHcy levels showed a positive association with diabetes mellitus. This independent association is unaffected by other potential risk factors.

Acute respiratory tract infection is the most common infectious disease in children, which seriously threatens children′s health.Rapid and accurate etiological diagnosis is of great significance for the clinical treatment and control of these diseases.Pathogen nucleic acid test was applied and became the main method of respiratory tract infection diagnosis for its high sensitivity and specificity.To regulate the application of pathogen nucleic acid amplification test in respiratory tract infection in children, improve the diagnosis level, expert consensus on nucleic acid amplification test of respiratory pathogens in children was prepared to guide the application and promote pathogens diagnosis ability.

The adjacent anatomy of the pelvis is complicated, with digestive, urinary, reproductive and other organs as well as important blood vessels and nerves. Therefore, accurate resection of pelvic tumors and precise reconstruction of defects after resection are extremely difficult. The development of medical 3D printing technology provides new ideas for precise resection and personalized reconstruction of pelvic tumors. The “triune” application of 3D printing personalized lesion model, osteotomy guide plate and reconstruction prosthesis in pelvic tumor limb salvage reconstruction treatment has achieved good clinical results. However, the current lack of normative guidance standards such as preparation and application of 3D printing personalized lesion model, osteotomy guide plate and reconstruction prosthesis restricts its promotion and application. The formulation of this consensus provides normative guidance for 3D printing personalized pelvic tumor limb salvage reconstruction treatment.

Objective:To investigate the influence of glucose regulatory protein 78 (GRP78) on prognosis and tumor cell proliferation of hepatocellular carcinoma.Methods:The experimental study and retrospective cohort study were conducted. Based on hepatocellular carcinoma tissue chip, in vitro culture of Huh7 and Hep3B hepatoma cells and LO2 normal hepatic cell, and combined with immunohistochemical staining, cell transfection, quantitative real-time polymerase chain reaction (qRT-PCR), Western blot detection, cell proliferation experiments, cell clone formation experiments and high-throughput transcription histological analysis, the GRP78 expression in hepatoma cells was analyzed. Huh7 and Hep3B hepatoma cells being transfected with the GRP78 gene-specific shRNA lentiviruses or the negative control shRNA lentivirus were set as the GRP78 gene-specific shRNA lentivirus group and the negative control shRNA lentivirus group respectively. Observation indicators: (1) GRP78 expression in hepatocellular carcinoma tissue and adjacent tissue and its correlation with the clinicopathological characteristics of hepatocellular carcinoma patients; (2) analysis of factors affecting the prognosis of hepatocellular carcinoma patients; (3) effects of inhibiting of GRP78 expression on the proliferation of hepatoma cells; (4) effects of inhibiting of GRP78 expression on the gene and protein expression of p53, p21, CDK2, CDK4, and CDK6 in hepatoma cells; (5) effects of HA15 on the proliferation and the gene and protein expression of p53, p21, CDK2, CDK4, and CDK6 in hepatoma cells. Measurement data of the normal distribution were expressed as Mean± SD, and comparison of groups was conducted using the t test or ANOVA. Repeated measurement data were analyzed using repeated ANOVA. Count data were expressed as absolute numbers, and comparisons between groups was conducted using the chi-square test. COX proportional hazards regression model was used for univariate and multivariate analysis. The Kaplan-Meier method was used to calculate the survival time and draw survival curve, and the Log-rank test was used for generative analysis. Results:(1) GRP78 expression in hepatocellular carcinoma tissue and adjacent tissue and its correlation with the clinicopathological characteristics of hepatocellular carcinoma patients: results of immunohistochemical staining of hepatocellular carcinoma tissue chip showed that GRP78 was low-expressed in 53 cases and high-expressed in 37 cases of the 90 hepatocellular carcinoma tissues. GRP78 was low-expressed in 84 cases and high-expressed in 6 cases of the 90 paracancerous tissues. There was a significant difference in GRP78 expression between hepatocellular carcinoma tissues and paracancerous tissues ( P<0.05). (2) Analysis of factors affecting the prognosis of hepatocellular carcinoma patients: all 90 patients were followed up for 5 to 56 months, with a median follow-up time of 49 months. The median overall survival time and median disease progression-free survival time were 56 months and 53 months in the 53 hepatocellular carcinoma patients with GRP78 as low-expressed, versus 32 months and 19 months in the 37 hepatocellular carcinoma patients with GRP78 as high-expressed, respec-tively, showing significant differences ( χ2=17.482, 12.097, P<0.05). Results of univariate analysis showed that alanine aminotransferase (ALT), tumor pathological grading and GRP78 expression were related factors affecting the 3-year overall survival rate and disease progression-free survival rate of hepatocellular carcinoma patients ( hazard ratio=2.317, 2.039, 3.740 and 2.194, 2.177, 2.927, 95% confidence interval as 1.150?4.671, 1.201?3.462, 2.116?6.612 and 1.048?4.593, 1.093?4.336, 1.492?5.742, P<0.05). Results of multivariate analysis showed that ALT >40 U/L, tumor pathological grading as Ⅲ-Ⅳ grade and GRP78 as high-expressed were independent risk factors affecting the 3-year overall survival rate and disease progression-free survival rate of hepatocellular carcinoma patients ( hazard ratio=2.438, 2.245, 3.223 and 3.046, 2.473, 3.307, 95% confidence interval as 1.114?5.334, 1.047?4.814, 1.396?7.440 and 1.337?6.940, 1.141?5.360, 1.399?7.819, P<0.05). (3) Effects of inhibiting of GRP78 expression on the proliferation of hepatoma cells: ①results of qRT-PCR showed that the relative expression of GRP78 messenger RNA (mRNA) in Huh7, Hep3B, and LO2 cells were 3.06±0.33, 4.42±0.60 and 1.00±0.02. There were significant differences in GRP78 mRNA expression between Huh7 and LO2 cells or Hep3B and LO2 cells ( t=6.19, 5.42, P<0.05). ②Results of Western Blot detection showed that the relative expression of GRP78 protein in Huh7, Hep3B, and LO2 cells were 1.65±0.01, 1.77±0.01 and 0.99±0.02. There were significant differences in GRP78 protein expression between Huh7 and LO2 cells or Hep3B and LO2 cells ( t=75.09, 108.10, P<0.05). ③Results of cell proliferation experiments showed that the growth rates in Hu7 GRP78 gene-specific shRNA lentiviruses group cells and Hu7 negative control shRNA lentivirus group cells at 24, 48, 72 and 96 hours were 111.51%±0.35%, 144.85%±0.68%, 188.71%±3.62%, 282.51%±5.25% and 190.08%±0.58%, 285.76%±2.69%, 459.51%±4.29%, 597.88%±12.25%, showing signifi-cant differences ( Fgroups=1 360.000, Ftime=668.500, Finteraction=197.600, P<0.05). The growth rates in Hep3B GRP78 gene-specific shRNA lentiviruses group cells and Hep3B negative control shRNA lentivirus group cells at 24, 48, 72 and 96 hours were 124.47%±0.25%, 153.25%±1.25%, 195.45%±3.19%, 282.51%±10.76% and 179.69%±0.33%, 322.67%±2.46%, 486.27%±5.82%, 622.35%±12.58%, showing significant differences ( Fgroups=1 222.000, Ftime=706.200, Finteraction=179.600, P<0.05). ④Results of the cell clone formation experiments showed that the number of cells in Hu7 GRP78 gene-specific shRNA lentiviruses group cells and Hu7 negative control shRNA lentivirus group cells were 125±3 and 435±17, showing a significant difference ( t=17.86, P<0.05). The number of cells in Hep3B GRP78 gene-specific shRNA lentiviruses group cells and Hep3B negative control shRNA lentivirus group cells were 138±3 and 388±7, showing a significant difference ( t=32.29, P<0.05). (4) Effects of inhibiting of GRP78 expression on the gene and protein expression of p53, p21, CDK2, CDK4, and CDK6 in hepatoma cells: results of high-throughput transcription histological analysis showed that the relative expression rates of p53, p21, CDK2, CDK4, and CDK6 were 19%, 334%, 398%, 41% and 49% in the Hu7 GRP78 gene-specific shRNA lentiviruses group cells comparing to the Hu7 negative control shRNA lentivirus group cells. ①Results of qRT-PCR showed that the relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 mRNA were 0.17±0.03, 4.05±0.71, 3.73±0.47, 0.49±0.09, 0.48±0.06, 0.36±0.07 in the Hu7 GRP78 gene-specific shRNA lentiviruses group cells, versus 1.00±0.05, 1.03±0.17, 1.00±0.07, 1.01±0.09, 1.02±0.14, 1.00±0.03 in the Hu7 negative control shRNA lentivirus group cells, showing significant differences ( t=14.62, 4.17, 5.72, 4.26, 3.49, 8.82, P<0.05). The relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 mRNA were 0.11±0.01, 4.28±0.43, 4.19±0.22, 0.44±0.01, 0.25±0.03, 0.68±0.04 in Hep3B GRP78 gene-specific shRNA lentiviruses group cells, versus 1.01±0.09, 1.02±0.15, 1.00±0.06, 1.01±0.09, 1.01±0.08, 1.15±0.02 in Hep3B negative control shRNA lentivirus group cells, showing significant differences ( t=10.19, 7.14, 13.79, 6.37, 9.42, 9.61, P<0.05). ②Results of Western Blot detection showed that the relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 protein were 0.45±0.01, 1.98±0.05, 2.31±0.12, 0.75±0.03, 0.69±0.04, 0.82±0.03 in the Hu7 GRP78 gene-specific shRNA lentiviruses group cells, versus 1.01±0.05, 1.03±0.01, 1.00±0.02, 1.00±0.01, 1.01±0.02, 1.00±0.03 in the Hu7 negative control shRNA lentivirus group cells, showing significant differences ( t=11.07, 14.56, 11.30, 11.29, 10.55, 11.37, P<0.05). The relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 protein were 0.61±0.03, 1.98±0.16, 2.55±0.12, 0.85±0.03, 0.78±0.01, 0.54±0.02 in Hep3B GRP78 gene-specific shRNA lentiviruses group cells, versus 1.00±0.03, 1.05±0.02, 1.05±0.01, 1.05±0.02, 1.00±0.02, 1.00±0.02 in Hep3B negative control shRNA lentivirus group cells, showing significant differences ( t=10.97, 13.40, 12.35, 11.06, 12.45, 13.78, P<0.05). (5) Effects of HA15 on the proliferation and the gene and protein expression of p53, p21, CDK2, CDK4, and CDK6 in hepatoma cells: results of 50% inhibiting concentration (IC50) test of HA15 showed that the IC50 of HA15 for Huh7 and Hep3B cells at 48 hours were 9.98 μmol/L and 13.70 μmol/L. ①Huh7 and Hep3B cells were treated with 9.98 μmol/L and 13.70 μmol/L of HA15. Results of cell proliferation experiments showed that the growth rates at 24, 48, 72, and 96 hours were 112.81%±0.27%, 154.71%±1.45%, 237.66%±16.77%, 294.40%±14.92% in the HA15-Huh7 cells, versus 133.67%±0.49%, 352.93%±2.31%, 557.17%±4.89%, 662.60%±13.31% in the normal Huh7 cells, showing a significant difference ( Fgroups=766.800, Ftime=518.200, Finteraction=133.300, P<0.05). The growth rates at 24, 48, 72, and 96 hours were 121.27%±2.32%, 203.85%±3.18%, 240.80%±3.02%, 286.50%±7.10% in the HA15-Hep3B cells, versus 239.14%±1.02%, 362.00%±5.44%, 539.37%±10.80%, 694.79%±17.13% in the normal Hep3B cells, showing a signifi-cant difference ( Fgroups=594.300, Ftime=317.900, Finteraction=78.600, P<0.05). ②Results of qRT-PCR showed that the relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 mRNA were 0.27±0.05, 3.64±0.28, 4.13±0.41, 0.51±0.07, 0.39±0.03, 0.17±0.02 in the HA15-Huh7 cells, versus 1.02±0.14, 1.00±0.03, 1.00±0.05, 1.01±0.08, 1.01±0.09, 1.03±0.17 in the normal Huh7 cells, showing significant differences ( t=5.00, 9.25, 7.63, 4.73, 6.82, 5.01, P<0.05). The relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 mRNA were 0.28±0.03, 3.49±0.78, 4.31±0.53, 0.38±0.05, 0.36±0.04, 0.24±0.03 in the HA15-Hep3B cells, versus 1.01±0.11, 1.03±0.18, 1.01±0.08, 1.00±0.06, 1.02±0.15, 1.00±0.06 in the normal Hep3B cells, showing significant differences ( t=6.26, 3.08, 6.21, 7.97, 4.26, 11.08, P<0.05). ③Results of Western Blot detection showed that the relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 protein were 0.52±0.05, 1.94±0.08, 1.58±0.02, 0.89±0.00, 0.86±0.02, 0.74±0.01 in the HA15-Huh7 cells, versus 1.02±0.03, 1.00±0.03, 1.02±0.02, 1.04±0.03, 1.00±0.01, 1.01±0.02 in the normal Huh7 cells, showing significant differences ( t=11.54, 10.28, 11.03, 12.81, 13.67, 10.09, P<0.05). The relative expression of GRP78, p53, p21, CDK2, CDK4, and CDK6 protein were 0.57±0.02, 1.67±0.04, 1.41±0.04, 0.82±0.03, 0.70±0.02, 0.74±0.01 in the HA15-Hep3B cells, versus 1.03±0.01, 0.98±0.03, 1.00±0.03, 1.03±0.03, 1.01±0.01, 1.04±0.01 in the normal Huh7 cells, showing significant differences ( t=10.81, 11.54, 12.26, 13.62, 14.23, 10.17, P<0.05). Conclusions:High expression of GRP78 is an independent risk factor affecting the overall survival and disease progression-free survival of hepatocellular carcinoma patients. Inhibiting of GRP78 expression can reduce cell proliferation and the expression of p53, p21, CDK2, CDK4, and CDK6 mRNA and proteins in hepatoma cells.

Objective:To investigate the clinical value of radiomics based on computed tomography (CT) examination in preoperative differential diagnosis of pancreatic serous cystadenoma (SCA) and mucinous cystadenoma (MCA).Methods:The retrospective case-control study was conducted. The clinicopathological and imaging data of 154 patients with pancreatic cystic neoplasms who were admitted to the First Affiliated Hospital, Zhejiang University School of Medicine from January 2012 to December 2019 were collected. There were 24 males and 130 females, aged (50±13)years. Of the 154 patients, 99 cases were diagnosed as SCA and 55 cases were diagnosed as MCA. All the 154 patients underwent plain and enhanced CT scan of pancreas before operation. The clinical characteristics, radiology features and radiomics features of all patients were collected to construct the clinical characteristics model, radiology model, radiomics model and fused model. The receiver operating characteristic (ROC) curve of each model was drawn, and those constructed models were evaluated by area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Based on the optimal model, the nomogram was constructed. Observation indicators: (1) establishment and validation of clinical characteristics model; (2) establishment and validation of radiology model; (3) establishment and validation of radiomics model; (4) establishment and validation of fused model; (5) nomogram of fused model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Establishment and validation of clinical characteristics model: 3 clinical characteristics, including age, symptoms and preoperative serum CA19-9, were selected using multinomial logistic linear regression analysis to construct the clinical characteristics model. Result of the multinomial logistic linear regression analysis was expressed by formula ①: clinical characteristics model score=0.635-0.007×age+0.054×clinical symptoms+0.108×preoperative serum CA19-9. The ROC curve for the test dataset of clinical characteristics model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of clinical characteristics model were 0.611(95% confidence interval as 0.488?0.734, P<0.05), 56.6%, 66.7%, 56.3%, 41.5%, 78.4% for the training dataset and 0.771(95% confidence interval as 0.624?0.919, P<0.05), 77.8%, 63.1%, 88.5%, 80.1%, 76.7% for the test dataset, respectively. (2) Establishment and validation of radiology model: 5 radiology characteristics, including tumor location, the number of tumors, tumor diameter of cross section, lobulated tumor and polycystic tumor (more than 6), were selected using multinomial logistic linear regression analysis to construct the radiology model. Result of the multinomial logistic linear regression analysis was expressed by formula ②: radiology model score=?0.034+0.300×tumor location+0.202×the number of tumors+0.014×tumor diameter of cross section?0.251×lobulated tumor?0.170×polycystic tumor (more than 6). The ROC curve for the test dataset of radiology model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of radiology model were 0.862(95% confidence interval as 0.791?0.932, P<0.05), 78.8%, 81.8%, 77.5%, 62.8%, 90.2% for the training dataset and 0.853(95% confidence interval as 0.713?0.994), P<0.05), 88.9%, 89.4%, 88.5%, 85.0%, 92.0% for the test dataset, respectively. (3) Establishment and validation of radiomics model: 4 categories of a total 1 067 radiomics features were extracted from 154 patients with pancreatic cystic neoplasms, including 7 first-order histogram features, 53 texture features, 848 wavelet features and 159 local binary pattern features. A total of 896 stable radiomics features were retained to construct the model, based on the condition of intraclass correlation coefficient >0.9. After selected by variance threshold and correlation coefficient threshold, 350 radiomics features were retained. Fifty synthetic radiomics features were constructed based on the original features in order to obtain potential radiomics features, and the total number of radiomics features was 400. After analyzed by the five-fold recursive feature elimination, 22 radiomics features were screened out, including 13 wavelet features, 7 synthetic radiomics features and 2 local binary pattern features. The support vector machine algorithm was used to construct the radiomics model. The penalty coefficient 'C' and parameter 'γ' of the radiomics model were 35.938 and 0.077, respectively. The kernel function of the radiomics model was 'radial basis function kernel'. The ROC curve of radiomics model using 5-fold cross validation was drawn. The average AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the radiomics model were 0.870 ( P<0.05), 83.1%, 81.8%, 83.8%, 73.8% and 89.2%, respectively. (4) Establishment and validation of fused model: the fused model was constructed after selecting the tumor location and lobulated tumor of radiology characteristics and radiomics score. Result of the multinomial logistic linear regression analysis was expressed by formula ③: fused model socre=?0.154+0.218×tumor location?0.223×lobulated tumor+0.621×radiomics score. The ROC curve for the test dataset of fused model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of fused model were 0.893(95% confidence interval as 0.828?0.958, P<0.05), 83.7%, 81.8%, 84.5%, 71.1%, 90.9% for the training dataset and 0.966(95% confidence interval as 0.921?0.999, P<0.05), 91.1%, 84.2%, 96.2%, 94.1%, 89.3% for the test dataset, respectively. (5) Nomogram of fused model: the nomogram of fused model was illustrated with the Youden index of 0.416. Conclusion:The prediction model based on the radiomics signature and radiological features extracted from preoperative CT examination can make the differential diagnosis of pancreatic SCA from MCA.

Mesocotyl elongation is a key trait influencing seedling emergence and establishment in direct-seeding rice cultivation. The phytohormone gibberellin (GA) has positive effects on mesocotyl elongation in rice. However, the physiological and molecular basis underlying the regulation of mesocotyl elongation mediated by GA priming under deep-sowing conditions remains largely unclear. In the present study, we performed a physiological and comprehensive transcriptomic analysis of the function of GA priming in mesocotyl elongation and seedling emergence using a direct-seeding