Objective To investigate the efficacy and complications of one-step and two-step ultrasound-guided percutaneous transhepatic hepatic duct drainage(PTHD)in the treatment of advanced low-level biliary obstruction.Methods A total of 112 patients with advanced low-level biliary obstruction who underwent palliative surgery for reducing jaundice in the hospital from January 2019 to July 2023 were selected,and divided into the one-step group and the two-step group according to the principle of complete randomization(grouped by random number table method).The one-step group(n=56)underwent one-step PTHD,while the two-step group(n=56)underwent two-step PTHD.Surgery related indicators,serum total bilirubin(TBIL),alkaline phosphatase(ALP),alanine transaminase(ALT),the incidence of postoperative complications,and satisfaction were compared between the two groups.Results There was no difference in intraoperative blood loss[(2.96±0.50)ml vs.(3.02±0.53)ml],drainage volume in 48 hours after surgery[(555.84±90.51)ml vs.(560.52±104.23)ml]between the two groups(P＞0.05).Operation time and postoperative VAS score of the one-step group were significantly shorter/lower than those of the two-step group[(32.50±4.26)min vs.(36.43±3.58)min,(3.72±1.57)points vs.(4.53±1.34)points],and the success rate of puncture was significantly higher than that in the two-step group(96.43％vs.76.69％),with statistically significant differences(P＜0.05).After treatment,the levels of TBIL,ALP and ALT in the two groups were significantly reduced(P＜0.05),but there was no statistically significant difference between the groups(P＞0.05).There was no statistically significant difference in the incidence of complications between the two groups(3.57％vs.7.14％,Fisher's exact probability=0.679).The satisfaction rate in the one-step group was significantly higher than that in the two-step group(94.64％vs.75.00％),with a statistically significant difference(P＜0.05).ConclusionThe operation time of one-step PTHD is shorter and the success rate of puncture is higher.In addition,patients undergoing one-step PTHD have milder pain,and are more satisfied.

Objective This study aimed to explore the prognostic value of 18F-FDG PET/CT Metabolic and Heterogeneity Parameters Combined with Clinical Features Before Definitive Chemoradiotherapy(D-CRT)in predicting the prognosis of esophageal squamous cell carcinoma(ESCC)Patients.Methods A retrospective analysis was conducted on clinical data from 106 patients with ESCC who received D-CRT at the first affiliated Hospital of University of Science and Technology of China between January 2017 and December 2021.All patients underwent 18F-FDG PET/CT examination before the treatment.The primary tumor′s metabolic and heterogeneity parameters were obtained through data processing.All patients were followed up for overall survival.The Kaplan-Meier method and Cox proportional hazards models were used to analyze the association between clinical features,tumor metabo-lism and heterogeneity parameters and patient prognosis.Results The 1-and 1.5-year overall survival rates of all patients were 77.4%and 51.9%.The median survival time was 20 months.Univariate analysis showed that N stage,M stage,metabolic tumor volume,total lesion glycolysis,heterogeneity index-2(HI-2),and coefficient of variation with a threshold of 40%maximum standard uptake value(CV40%)were correlated with the prognosis of ESCC(all P<0.05).Multivariate analysis showed that N stage and CV40%were independent predictors of prognosis in patients with ESCC(P = 0.039 and P<0.001,respectively).Conclusion N stage and tumor metabolic heterogeneity parameter CV40%,which offering a degree of predictive value,are closely related to the prognosis of patients with ESCC treated with D-CRT.

Background and Purpose:Accurate differentiation of pancreatic ductal adenocarcinoma(PDAC)from mass-forming chronic pancreatitis(MFCP)is clinically significant.The application of dual-layer spectral detector CT(DLCT)in pancreas has been explored.This study aimed to investigate the value of DLCT in distinguishing resectable PDAC from MFCP.Methods:We retrospectively collected data of 33 patients with resectable PDAC and 19 patients with MFCP admitted to Fudan University Shanghai Cancer Center from September 1,2021 to May 31,2023.Prior to surgery,patients underwent enhanced DLCT scans,including arterial phase(AP),parenchymal phase(PP)and venous phase(VP).DLCT quantitative parameters,including attenuation enhancement fraction(AEF),lesion-to-parenchyma ratio(LPR)and iodine enhancement fraction(IEF)were calculated.Difference analysis was conducted using independent sample t-test or chi-square test.Univariate and multivariate analyses were performed using binary logistic regression.Receiver operating characteristic(ROC)curves were used for performance evaluation.P＜0.05 was considered statistically significant.Results:Statistically significant differences were observed between PDAC and MFCP in AEF_AP/PP,LPR40_VP,IEF_PP/VP,carbohydrate antigen 19-9(CA19-9)and double-duct sign(all P＜0.05).The spectral combined model composed of LPR40_VP and IEF_PP/VP exhibited the best discriminatory efficacy,surpassing CA19-9,double-duct sign and AEF_AP/PP(all P＜0.05).The combined model demonstrated an area under curve(AUC)of 0.841,sensitivity of 90%,specificity of 73%,and accuracy of 79%.Conclusion:DLCT has certain potential in differentiating resectable PDAC from MFCP.Spectral quantitative parameters can complement CA19-9 and outcome shortcomings of conventional CT in distinguishing resectable PDAC from MFCP.

Alzheimer's disease(AD)is the most common neurodegenerative disease,typically affecting individuals aged 65 and older.Mild cognitive impairment is generally regarded as a precursor stage of AD.The underlying molecular and cellular processes of AD can be visualized in vivo using PET/CT technology.Multi-modal imaging based on Aβ PET,tau PET,and FDG PET within the ATN framework can effectively characterize the core neuropathological features of AD.Many novel PET tracers have recently been developed and applied to deeply probe the pathophysiological dysfunction and internal environmental alterations in AD.Therefore,this review will summarize the recent advances of amyloid,tau protein,FDG,and neuroinflammatory PET probes in AD research within the ATN framework.

Magnetic resonance (MR) imaging is an important tool for prostate cancer diagnosis, and accurate segmentation of MR prostate regions by computer-aided diagnostic techniques is important for the diagnosis of prostate cancer. In this paper, we propose an improved end-to-end three-dimensional image segmentation network using a deep learning approach to the traditional V-Net network (V-Net) network in order to provide more accurate image segmentation results. Firstly, we fused the soft attention mechanism into the traditional V-Net's jump connection, and combined short jump connection and small convolutional kernel to further improve the network segmentation accuracy. Then the prostate region was segmented using the Prostate MR Image Segmentation 2012 (PROMISE 12) challenge dataset, and the model was evaluated using the dice similarity coefficient (DSC) and Hausdorff distance (HD). The DSC and HD values of the segmented model could reach 0.903 and 3.912 mm, respectively. The experimental results show that the algorithm in this paper can provide more accurate three-dimensional segmentation results, which can accurately and efficiently segment prostate MR images and provide a reliable basis for clinical diagnosis and treatment.
Male ; Humans ; Prostate/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Magnetic Resonance Imaging/methods* ; Imaging, Three-Dimensional/methods* ; Prostatic Neoplasms/diagnostic imaging*

The basic pathological change of diabetic macroangiopathy is atherosclerosis （AS）， which is mainly associated with vascular endothelial cells （VECs） injury， oxidative stress， glucose and lipid metabolism disorders， hemorheological abnormalities， and endoplasmic reticulum stress. The injury and dysfunction of VECs are the initiating factors of diabetic macroangiopathy. Autophagy is a subcellular self-protection mechanism that regulates basic intracellular metabolism through lysosome-mediated degradation of proteins and damaged organelles to maintain homeostasis. Insufficient autophagy of VECs leads to enhanced inflammation， apoptosis， and oxidative stress of VECs， which promotes AS. According to the theory of traditional Chinese medicine （TCM）， diabetic macroangiopathy corresponds to the syndrome of internal deficiency and pathogen invasion， with Qi deficiency and stagnation as the key pathogenesis. Qi deficiency is the root cause， and Qi stagnation is the manifestation. The disease occurs with the initial cause of nutrient-defense disharmony and instability of vessels， the main cause of the deficiency of kidney Qi and the lack of source for generation and transformation， the internal cause of Qi and blood loss in the viscera and the stagnation of Qi， blood， and fluid， and the superficial cause of the stagnation of pathological products and the damage of vessels. Autophagy is a microscopic manifestation of Qi， which has the function of dispelling pathogens and maintaining homeostasis. Insufficient autophagy of VECs leads to Qi deficiency and stagnation， and the gradual deficiency and heavy stagnation of Qi lead to insufficient autophagy， which form a vicious cycle. Modern research has demonstrated that regulating the autophagy of VECs is the main way to prevent and treat AS， and TCM can exert the therapeutic effect in a multi-target and multi-pathway manner. Therefore， based on the theory of Qi deficiency and stagnation， the method of tonifying deficiency of and removing stagnation can be adopted to select prescriptions for regulating the autophagy of VECs and treating AS， which can slow down the procession of diabetic macroangiopathy.

The basic pathological change of diabetic macroangiopathy is atherosclerosis， and the metabolism legacy effect of hyperglycemia will cause continuous damage to the large vessels. Oxidative stress is a common mechanism for diabetes and its chronic complications and it is also the basis of the metabolism legacy effect which keeps damaging the large vessels. Anti-oxidant therapy can delay the course of diabetic macroangiopathy. According to the theory of traditional Chinese medicine （TCM）， the pathogenicity of hidden pathogen is concealing， lingering， and refractory. On the basis of the syndrome and treatment of collateral diseases， vessel-collateral theory， and hidden pathogen theory of TCM， the pathological changes of diabetic macroangiopathy are summarized as pathogen concealment-accumulation of sugar and lipids leading to phlegm and blood stasis-accumulation of toxins-damage to vessels and collaterals-hardening vessels. The core pathogenesis is the hidden pathogen damaging the collaterals， and the basic pathological change is vessel hardening. The toxins of sugar， lipid， phlegm， and stasis are the pathological products and the key to be treated. According to this theory， the medicinal materials with the functions of activating blood to dredging collaterals， resolving phlegm to clearing collaterals， Promoting qi to unblocking collaterals and removing toxins to shunting collaterals can be selected for prescription. These medicinal materials can inhibit the generation of reactive oxygen species， affect the oxidase activity， and enhance the antioxidant capacity， thereby regulating the oxidative stress response， protecting the vascular endothelial function， reducing the damage of the large blood vessels， and slowing down the progression of the disease. Such therapy is of great significance in clinical practice and research， providing a new idea for the prevention and treatment of diabetic macroangiopathy.

Objective: To explore the gene lifestyle interaction of ATP2B1-eNOS pathway gene polymorphisms on blood pressure. Methods: Using the convenient cluster sampling method, a total of 872 junior middle school students from 3 school in July to August 2019, were included in the final analysis. The survey included questionnaire investigation, anthropometry measurement and blood sample collection. After DNA was extracted from peripheral blood samples, the gene polymorphisms ( ATP2B1 gene rs 17249754 and rs 2070759, eNOS gene rs 1799983 and rs 2070744) were genotyped. Logistic regression model was used to analyze the association between gene polymorphism and blood pressure phenotypes. Results: The prevalence of high blood pressure was 9.52 % in adolescents(9.15% in boys and 9.87% in girls),with no significant sex difference ( χ 2=0.13, P =0.72). There were statistically significant differences between boys and girls in age, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI) classification, birth weight, daily school physical exercise time and daily playing video games time ( P <0.05). Logistic regression analysis showed that, eNOS gene rs 2070744 polymorphism was associated with high blood pressure (HBP) under the recessive model, and the risk of HBP in CC genotype carriers were higher than that TT/TC genotype carriers ( OR=3.88, 95%CI =1.00-15.02, P < 0.05 ). The results of gene lifestyle interaction showed that ATP2B1 gene rs 2070759 polymorphism gene had an interaction with the time of physical exercise in school ( P interaction =0.05). In the subgroup with daily physical exercise time at sch ool ＜1 hour , the TT/TG genotype carriers were associated with increased risk of HBP compared with GG genotype carriers( OR= 2.65 , 95%CI =1.11-6.30, P <0.05). But in the subgroup with daily physical exercise time in school ≥1 hour, rs 2070759 was not significantly associated with HBP. Conclusion eNOS/rs 2070744 polymorphisms are associated with risk of HBP among adolescents. There is significant interaction between ATP2B1 gene rs 2070759 polymorphism and physical exercise time in school on HBP. Adolescents should spend more time on physical activity in school, which will help to maintain normal blood pressure level.

The recent advancement of single-cell RNA sequencing (scRNA-seq) technologies facilitates the study of cell lineages in developmental processes and cancer.In this study,we developed a computational method,called redPATH,to reconstruct the pseudo developmental time of cell lineages using a consensus asymmetric Hamiltonian path algorithm.Besides,we developed a novel approach to visualize the trajectory development and implemented visualization methods to provide biological insights.We validated the performance of redPATH by segmenting different stages of cell development on multiple neural stem cell and cancer datasets,as well as other single-cell transcriptome data.In particular,we identified a stem cell-like subpopulation in malig-nant glioma cells.These cells express known proliferative markers,such as GFAP,ATP1A2,IGFBPL1,and ALDOC,and remain silenced for quiescent markers such as ID3.Furthermore,we identified MCL1 as a significant gene that regulates cell apoptosis and CSF1R for reprogram-ming macrophages to control tumor growth.In conclusion,redPATH is a comprehensive tool for analyzing scRNA-seq datasets along the pseudo developmental time.redPATH is available at https://github.com/tinglabs/redPATH.