Objective:To construct a prior based on the inherent properties of PET to accurately segment the lesion areas.Methods:A network framework for PET tumor segmentation driven by geodesic priors was proposed (geodesic network for short). Specifically, partial differential equations were constructed to characterize the geodesic distances between different regions in PET images. Tumor marker points identified by CT labeling were used as the initial conditions for the equations. To enhance the contrast between areas of lung or breast tumors and normal tissues, a smooth Heaviside function was utilized to map the geodesic distances. The network framework adopted a dual-branch architecture, using geodesic priors to assist in PET image segmentation.Results:The proposed method achieved a Dice coefficient of 94.92% in lung cancer segmentation and 90.12% in breast cancer segmentation. With the addition of geodesic priors in the Unet, the Dice coefficient for breast cancer increased by 32.37% (from 42.50% to 74.87%).Conclusion:Geodesic priors can significantly improve segmentation outcomes and enhance the generalization capability of the network.

Objective To investigate the correlation between skeletal muscle fat content and diabetic peripheral neuropathy(DPN)in patients with type 2 diabetes mellitus(T2DM).Methods 290 patients with T2DM admitted to our hospital were enrolled in this study from January 2023 to February 2024 and divided into two groups according to whether they were complicated with DPN:simple T2DM group(T2DM,n=98)and T2DM with DPN group(DPN,n=192).The general data,biochemical indexes and fat distribution indexes measured based on quantitative CT were compared between the two groups.Spearman correlation was used to analyze the relationship between fat distribution indexes and DPN,logistic regression analysis of influencing factors of T2DM complicated with DPN.Results Age,DM duration,WHR,FIns,insulin resistance index(HOMA-IR)and FF were higher in DPN group than in T2DM group(P<0.05).Ca,subcutaneous abdominal fat area(SFA)and liver fat content were lower in DPN group than in T2DM group(P<0.05).Spearman correlation analysis showed that DPN was negatively correlated with SFA and liver fat content(r=-0.127,-0.123,P<0.05),and positively correlated with FF(r=0.117,P<0.05).Logistic regression analysis showed that without adjusting for confounding factors and adjusting for DM duration,WHR,HOMA-IR,Ca,SFA and liver fat content,FF was an influential factor for DPN in T2DM patients.Conclusions Skeletal muscle FF was associated with DPN in patients with T2DM.

Objective To investigate the correlation between skeletal muscle fat content and diabetic peripheral neuropathy(DPN)in patients with type 2 diabetes mellitus(T2DM).Methods 290 patients with T2DM admitted to our hospital were enrolled in this study from January 2023 to February 2024 and divided into two groups according to whether they were complicated with DPN:simple T2DM group(T2DM,n=98)and T2DM with DPN group(DPN,n=192).The general data,biochemical indexes and fat distribution indexes measured based on quantitative CT were compared between the two groups.Spearman correlation was used to analyze the relationship between fat distribution indexes and DPN,logistic regression analysis of influencing factors of T2DM complicated with DPN.Results Age,DM duration,WHR,FIns,insulin resistance index(HOMA-IR)and FF were higher in DPN group than in T2DM group(P<0.05).Ca,subcutaneous abdominal fat area(SFA)and liver fat content were lower in DPN group than in T2DM group(P<0.05).Spearman correlation analysis showed that DPN was negatively correlated with SFA and liver fat content(r=-0.127,-0.123,P<0.05),and positively correlated with FF(r=0.117,P<0.05).Logistic regression analysis showed that without adjusting for confounding factors and adjusting for DM duration,WHR,HOMA-IR,Ca,SFA and liver fat content,FF was an influential factor for DPN in T2DM patients.Conclusions Skeletal muscle FF was associated with DPN in patients with T2DM.

Objective:To construct a prior based on the inherent properties of PET to accurately segment the lesion areas.Methods:A network framework for PET tumor segmentation driven by geodesic priors was proposed (geodesic network for short). Specifically, partial differential equations were constructed to characterize the geodesic distances between different regions in PET images. Tumor marker points identified by CT labeling were used as the initial conditions for the equations. To enhance the contrast between areas of lung or breast tumors and normal tissues, a smooth Heaviside function was utilized to map the geodesic distances. The network framework adopted a dual-branch architecture, using geodesic priors to assist in PET image segmentation.Results:The proposed method achieved a Dice coefficient of 94.92% in lung cancer segmentation and 90.12% in breast cancer segmentation. With the addition of geodesic priors in the Unet, the Dice coefficient for breast cancer increased by 32.37% (from 42.50% to 74.87%).Conclusion:Geodesic priors can significantly improve segmentation outcomes and enhance the generalization capability of the network.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Objective To establish a nomogram model for efficiently predicting overall survival(OS)and cancer-specific survival(CSS)in patients with CRCHBM.Method 2239 patients from 2010 to 2019 were retrospectively analyzed from the Surveillance,Epidemiology,and End Results Program(SEER)databases and Wuhan Union Hospital Cancer Center.SEER is randomly assigned to the training and internal validation cohorts,and the Wuhan database serves as the external validation.Cox regression analyses were used to determine the independent clinicopathological prognosis factors affecting OS and CSS,and a nomogram was constructed to predict OS and CSS.The clinical utility of columnar plots was assessed using calibration curves,area under the curve(AUC),and decision curve analysis(DCA).Result OS column line graphs were constructed based on nine independent predictors:age,tumor location,degree of differentiation,tumor size,TNM stage,chemotherapy,primary focus surgery,number of lymph nodes sampled,and serum carcinoembryonic antigen(CEA)level.The C-index of the nomogram to predict the 1-,3-,and 5-year OS were 0.764,0.790,and 0.805 in the training group,0.754,0.760,and 0.801 in the internal validation group,and 0.822,0.874,and 0.906 in the external validation group.CSS column line graphs were constructed based on 3 independent predictors of TNM staging,radiotherapy and chemotherapy.The 1-,3-,and 5-year CSS AUROC values of the training group were 0.791,0.757,and 0.782,respectively.0.682,0.709,0.625 in the internal validation group and 0.759,0.702,0.755 in the external validation group,respectively.The results of receiver operating characteristic curve(ROC),ROC and DCA showed that the use of our model was more effective in predicting OS and CSS than other single clinicopathological features.Conclusion In summary,the nomogram based on significant clinicopathological features can be conveniently used to predict OS and CSS individually in patients with CRCHBM.

To clarify the genetic diversity and structure of the nucleus population of F1-generation Litopenaeus vannamei, this study utilized 15 pairs of highly polymorphic microsatellite primers to analyze the simple sequence repeat (SSR) markers and genetic diversity in 15 full-sib families of L. vannamei. A total of 112 alleles (N_a) and 60.453 effective alleles (N_e) were identified among the selected 15 SSR loci, with the average polymorphic information content (PIC) of 0.648. The average N_e, observed heterozygosity (H_o), and expected heterozygosity (H_e) in the 15 F1 families varied from 1.925 to 2.626, 0.425 to 0.783, and 0.403 to 0.572, respectively. The 15 full-sib families were primarily clustered into three categories in the phylogenetic analysis, with the genetic distance between families ranging from 0.252 to 0.574. Additionally, the genetic differentiation coefficient (F_st) among the families varied from 0.112 to 0.278, indicating substantial genetic differentiation. Overall, this study suggested that the genetic diversity of the 15 full-sib families was moderate, providing valuable genetic insights for the subsequent breeding initiatives aimed at enhancing the tolerance of L. vannamei to high levels of soybean meal.
Penaeidae/classification* ; Microsatellite Repeats/genetics* ; Animals ; Genetic Variation ; Polymorphism, Genetic ; Phylogeny ; Alleles ; Genetic Markers

Objective:To analyzed the urinary microbiota characteristics of upper tract urothelial carcinoma(UTUC) patients.Methods:Urine samples were collected from 23 patients with UTUC (UTUC group) and 22 patients with benign diseases (control group) admitted to Yijishan Hospital, the First Affiliated Hospital of Wannan Medical College from July 2021 to July 2022. The differences in age [(60.9±5.7) years vs. (61.4±8.8) years], sex (male/female: 15/8 vs. 9/13), and body mass index [(22.9±1.8) kg/m 2 vs. (23.4±1.7) kg/m 2] between the UTUC group and the control group were not statistically significant ( P>0.05). The V4 region of the 16S rRNA of urinary microorganisms was sequenced using the Illumina NovaSeq6000, and the results were processed using QLLME2. Differences in α-diversity between groups were analyzed by using the Shannon, Simpson, and Chao1 indices. Differences in β-diversity between groups were analyzed by using unweighted principal coordinates analysis (PCoA). Linear discriminant analysis Effect Size(LEfSe)was used to identify the bacterial taxa with different abundances between groups. Significant differences were defined as LDA>2. Results:The Chao1 index (703.12±265.54 vs. 506.20±214.02) and Shannon index (5.61±1.85 vs. 5.07±1.34) were significantly higher in the UTUC group compared to that in the control group ( P<0.05). The α-diversity of urinary microbes was elevated in the UTUC group compared to that in the control group but the difference in β-diversity was not statistically significant ( P=0.161). The enrichment of Bacteroidaceae, Ruminococcaceae, Acidaminococcaceae, Thermaceae, Erysipelatoclostridiaceae, and Coriobacteriaceae abundance was higher in the urine of UTUC patients(LDA > 2). Further subgrouping analyses of the UTUC patients showed that the differences in Chao1 index (706.44±271.84 vs. 784.09±272.72), Shannon index (6.04±1.30 vs. 5.91±1.67), and Simpson index (0.94±0.08 vs. 0.89±0.22) between the muscle-invasive group and the non-muscle-invasive group were not statistically significant ( P>0.05). The difference in α-diversity between muscle-invasive and non-muscle-invasive group was not statistically significant, but the difference in β-diversity was statistically significant ( P=0.047). The urinary microbial communities of Gammaproteobacteria, Cutibacterium, Rhodococcus and Nocardiaceae were enriched in muscle-invasive group and differed from that in non-muscle-invasive group(LDA>2). Conclusions:This study suggests that the urinary microbial community was more abundant in UTUC patients than in non-UTUC patients and that Bacteroidaceae, Ruminococcaceae, Acidaminococcaceae, Thermaceae, Erysipelatoclostridiaceae, and Coriobacteriaceae were more abundant in the urine of UTUC patients. The urinary microbial community was more abundant in the urine of non-muscle-invasive patients than in the muscle-invasive patients, and Gammaproteobacteria, Cutibacterium, Rhodococcus and Nocardiaceae were more abundant in the urine of non-muscle-invasive patients.

【Objective】 To understand the current situation of blood components distribution in domestic prefecture-level blood stations through analyzing the components distribution data of 24 prefecture-level blood stations in China. 【Methods】 The data of components distribution of 24 blood stations from 2017 to 2020 as well as the data of blood deployment of 24 blood stations from 2019 to 2020 were collected and analyzed. 【Results】 From 2017 to 2020, positive annual growth in red blood cells, plasma and cryoprecipitate was observed in 22, 19 and 15 out of the 24 blood stations, and the annual growth median rate of above three components was 5.24%, 3.80% and 3.25%, respectively. Among the 24 prefecture-level blood stations, 23 carried out the preparation of cryoprecipitate. 【Conclusion】 The distribution of red blood cells, cryoprecipitate and plasma in prefecture-level blood stations is increasing year by year. However, there is a overstock of plasma, and most blood stations need blood employment.

【Objective】 To study the annual financial expenditure in blood stations with different scales, and to establish the regression equation between blood collection units and total expenditure. 【Methods】 The annual total expenditure, the per capita cost of serving population, as well as the collection units of whole blood and apheresis platelet of 24 blood stations were collected. The financial expenditure required for collecting 10 000U blood was calculated.The statistical analysis was carried out with SPSS statistical software. 【Results】 From 2017 to 2020, the total annual financial expenditure of 24 blood stations showed an upward trend. The total expenditure among blood stations was different. The per capita cost of servicing population in the areas where the 24 blood stations were located had been increasing year by year. The 24 blood stations were divided into two grades according to the blood collection volume as 50 000 U, and the relationship equation between the blood collection volume and the annual total expenditure had been established. After testing, each equation was effective(P<0.05); There was no difference in the financial expenditure required for collecting 10 000U blood among blood stations with different scales. 【Conclusion】 From 2017 to 2020, the blood stations with an annual collection volume more than 50 000 U demonstrated a higher financial expenditure and the per capita cost of serving population than those <50 000 U. The blood collection volume of blood stations is significantly correlated with the annual total expenditure and the per capita cost of serving population.