Objective:To investigate the clinical outcome of endovascular treatment vs. drug treatment in patients with symptomatic non-acute long-segment occlusion of the internal carotid artery. Methods:Based on prospective cohort registration research data, patients with symptomatic non-acute long-segment occlusion of internal carotid artery were retrospectively included. They were divided into a drug treatment group and an endovascular treatment group according to the actual treatment received. The latter was further divided into a successful recanalization group and an unsuccessful recanalization group. The endpoint events included ipsilateral ischemic stroke, any stroke, and all-cause death. Multivariate logistic regression analysis was used to compare the endpoint events between groups during the perioprocedural period (within 30 days), and multivariate Cox proportional hazards model was use to compare the endpoint events between the groups during the long-term follow-up. Results:A total of 684 patients were included, of which 570 (83.33%) were male, median aged 63 years (interquartile range, 56-70 years). Three hundred and fifty-three patients (51.6%) received drug treatment; 331 (48.4%) received endovascular treatment, of which 161 (48.6%) had successful recanalization. The median follow-up time was 1 223 days (interquartile range, 646.5-2 082 days), with 109 patients (15.9%) experiencing stroke recurrence events (including 87 ipsilateral ischemic stroke) and 78 (11.4%) experiencing all-cause mortality. The risk of any stroke during the perioprocedural period in the successful recanalization group was significantly higher than that in the drug treatment group (odds ratio 3.679, 95% confidence interval 1.038-13.036; P=0.044), but the risk of ipsilateral ischemic stroke recurrence (risk ratio 0.347, 95% confidence interval 0.152-0.791; P=0.012) and all-cause mortality (risk ratio 0.239, 95% confidence interval 0.093-0.618; P=0.003) during the long-term follow-up were significantly lower than those in the drug treatment group. Conclusions:In patients with symptomatic non-acute long-segment occlusion of the internal carotid artery, endovascular treatment can increase the risk of stroke recurrence within 30 days, but successful recanalization can reduce the risks of long-term ipsilateral ischemic stroke recurrence and all-cause mortality.

Objective To campare biomechanical effects of different postural compression techniques on three-dimensional model of lumbar disc herniation(LDH)by finite element analysis.Methods Lumbar CT image of a 48-year-old female patient with LDH(heighted 163 cm,weighted 53 kg)was collected.Mimics 20.0,Geomagic Studio,Solidwords and other software were used to establish three-dimensional finite element model of LDH on L4,5 segments.Compression techniques under horizon-tal position,30° forward bending and 10° backward extension were simulated respectively.After applying the pressure,the ef-fects of compression techniques under different positions on stress,strain and displacement of various tissues of intervertebral disc and nerve root were observed.Results L4,5 segment finite element model was successfully established,and the model was validated.When compression manipulation was performed on the horizontal position,30° flexion and 10° extension,the annular stress were 0.732,5.929,1.286 MPa,the nucleus pulposus stress were 0.190,1.527,0.295 MPa,and the annular strain were 0.097,0.922 and 0.424,the strain sizes of nucleus pulposus were 0.153,1.222 and 0.282,respectively.The overall displace-ment distance of intervertebral disc on Y direction were-3.707,-18.990,-4.171 mm,and displacement distance of nerve root on Y direction were+7.836,+5.341,+3.859 mm,respectively.The relative displacement distances of nerve root and interverte-bral disc on Y direction were 11.543,24.331 and 8.030 mm,respectively.Conclusion Compression manipulation could make herniated intervertebral disc produce contraction and retraction trend,by increasing the distance between herniated interverte-bral disc and nerve root,to reduce symptoms of nerve compression,to achieve purpose of treatment for patients with LDH,in which the compression manipulation is more effective when the forward flexion is 30°.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

AIM To investigate the effects of Moluodan Dami Pills on chronic atrophic gastritis(CAG)rats and their mechanism.METHODS The rat models were randomly divided into the model group,the low-dose group and high-dose Moluodan Dami Pills groups(2.43 g/kg and 4.86 g/kg),and vitamin A group(0.32 g/kg),following the 16 weeks successful induction of CAG by five-factor modeling method,in contrast to another 10 normal rats of the control group.After 8 weeks corresponding administration,the rats of each group had their general physiological status and pH value of gastric juice assessed;their pathological changes of gastric mucosa observed by naked eyes combined with HE staining;their changes of gastrin-secreting cells(G cells)and somatostatin-secreting cells(D cells)in gastric mucosa observed by immunohistochemistry;and their serum levels of pepsinogen Ⅰ/pepsinogen Ⅱ(PG Ⅰ/PG Ⅱ)ratio,TNF-α and IL-6 detected by ELISA.RESULTS Compared with the model group,the groups intervened with Moluodan Damei Pills and vitamin A displayed lower pH values of gastric juice(P＜0.05),improved pathological changes of gastric mucosa,increased G and D cells counts(P＜0.05,P＜0.01),increased ratio of serum PGⅠ/PGⅡ,and decreased levels of IL-6 and TNF-α(P＜0.05,P＜0.01).CONCLUSION Moluodan Dami Pills can effectively improve the symptoms of CAG rats through its influence on the number and secretion abilityof G and D cells,the levels of serum PG Ⅰ/PG Ⅱ ratio and inflammatory factors.

Objective:To compare the efficacy and safety of transjugular intrahepatic portosystemic shunt (TIPS) and endoscopic treatment for liver cirrhosis with esophageal gastric variceal bleeding (EGVB) and portal vein thrombosis (PVT).Methods:A total of 183 liver cirrhosis patients with EGVB and PVT in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School and the First Affiliated Hospital of Wenzhou Medical University were selected from January 2017 to December 2019, and 66 patients were assigned to the endoscopic group (received endoscopi treatment) and 117 the TIPS group (received TIPS treatment). Propensity score matching was performed according to the 1∶1 ratio, yielding 58 patients in each group for analysis, with a median follow-up time of 36 months in both groups. Postoperative survival, postoperative rebleeding rate, and postoperative hepatic encephalopathy incidence were assessed using Kaplan-Meier survival curves.Results:During the follow-up, the rebleeding rate in the endoscopic group was significantly higher [39.7% (23/58) VS 17.2% (10/58), P=0.005], and the TIPS group had a higher incidence of postoperative hepatic encephalopathy [29.3% (17/58) VS 13.8% (8/58), P=0.048], and no significant difference in survival rate was observed between the two groups [74.1% (43/58) VS 75.9% (44/58), P=0.769]. In the subgroup analysis of mild degree of PVT, there was no significant difference in survival [88.0% (22/25) VS 72.0% (18/25), P=0.164], rebleeding rate [28.0% (7/25) VS 12.0% (3/25), P=0.164], or incidence of hepatic encephalopathy [8.0% (2/25) VS 20.0% (5/25), P=0.202] between the endoscopic group and the TIPS group. In the subgroup analysis of severe degree of PVT, the rebleeding rate in the endoscopic group was significantly higher than that in the TIPS group [48.5% (16/33) VS 21.2% (7/33), P=0.010], while there was no significant difference in the incidence of hepatic encephalopathy [18.2% (6/33) VS 36.4% (12/33), P=0.133], or the survival rate [63.6% (21/33) VS 78.8% (26/33), P=0.154]. Conclusion:For liver cirrhosis patients with mild PVT and EGVB, combining endoscopic therapy with anticoagulation may be superior to TIPS. Conversely, in patients with severe PVT, TIPS may be a more suitable option due to a significantly reduced rebleeding risk without a notable increase in hepatic encephalopathy incidence.

Objective:To investigate the influence of curative-intent resection with textbook outcomes of liver surgery (TOLS) on long-term prognosis of gallbladder carcinoma (GBC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 824 patients with GBC in the national multicenter database of Biliary Surgery Group of Elite Group of Chinese Journal of Digestive Surgery, who were admitted to 15 medical centers from January 2014 to January 2021, were collected. There were 285 males and 539 females, aged (62±11)years. According to the evalua-tion criteria of TOLS, patients were divided into those who achieved TOLS and those who did not achieve TOLS. Measurement data with normal distribution were represented as Mean± SD, and com-parison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data were conduc-ted using the Mann-Whitney U test. The Kaplan-Meier method was used to calculate survival rate and draw survival curve, and the Log-rank test was used for survival analysis. The COX stepwise regression model with backward Wald method was used for univariate and multivariate analyses. Results:(1) Achievement of TOLS. Of the 824 patients undergoing curative-intent resection for GBC, there were 510 cases achieving TOLS and 314 cases not achieving TOLS. (2) Follow-up. Of the 824 patients undergoing curative-intent resection for GBC, after excluding 112 deaths within 90 days after discharge, 712 cases were included for the survival analysis. The median follow-up time, median overall survival time and 5-year overall survival rate of the 510 patients achieving TOLS were 22.1(11.4,30.1)months, 47.6(30.6,64.6)months and 47.5%. The median follow-up time, median overall survival time and 5-year overall survival rate of the 202 patients not achieving TOLS were 14.0(6.8,25.5)months, 24.3(20.0,28.6)months and 21.0%. There was a significant difference in overall survival between patients achieving TOLS and patients not achieving TOLS ( χ2=58.491, P<0.05). (3) Analysis of factors influencing prognosis of patients. Results of multivariate analysis showed that TOLS, carcinoembryonic antigen (CEA), CA19-9, poorly differentiation of tumor, T2 stage of eighth edition of American Joint Committee on Cancer (AJCC) staging, T3 and T4 stage of eighth edition of AJCC staging, N1 stage of the eighth edition of AJCC staging, N2 stage of the eighth edition of AJCC staging, adjuvant therapy were independent factors influencing overall survival time of patients undergoing curative-intent resection for GBC ( hazard ratio=0.452, 1.479, 1.373, 1.612, 1.455, 1.481, 1.835, 1.978, 0.538, 95% c onfidence interval as 0.352-0.581, 1.141-1.964, 1.052-1.791, 1.259-2.063, 1.102-1.920, 1.022-2.147, 1.380-2.441, 1.342-2.915, 0.382-0.758, P<0.05). Conclusion:Patients under-going curative-intent resection for GBC with TOLS can achieve better long-term prognosis.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective To summarize the multi slice spiral computed tomography(MSCT)features of bronchiolar adenoma(BA).Methods The imaging data of 9 cases of BA confirmed by surgery and pathology were analyzed retrospectively,and relevant literature was also reviewed.Results Among the 9 cases of BA,there were 8 cases with peripheral BA(away from the pleura≤5 mm)inclu-ding 4 cases close to the pleura and 1 case in central area.BA were located in the superior lobe of the right lung in 3 cases,the middle lobe of the right lung in 2,the inferior lobe of the right lung in 2,and the inferior lobe of the left lung in 2.Five cases were solid nod-ules,2 were ground-glass nodules and other 2 were cystic cavity nodules.In 2 cases of the solid nodules,the boundary on the non-venous side was blurred.In the 1 case of the ground-glass nodule,linear and reticular shadows were observed in the lesion,accompanied by a blurred boundary.2 nodules had mild pleura indentation,and other 7 nodules were found blood vessels entering into or adhering to the lesion,3 of which were accompanied by vascular thickening.In 8 cases with 2-48 month followed up,1 cystic cavity nodule was accompa-nied by obstructive pneumonia and then inflammatory absorption,1 solid nodule enlarged accompanied by the appearance of vacuoles,and the rest 6 had no changes.One central type nodule was operated after the CT examination.Conclusion BA are mainly manifes-ted as peripheral nodules of the lung,mostly close to the pleura and away from the pleura≤5 mm.Most BA are solid nodules,and sometimes are ground-glass or cystic cavity nodules.Some nodules show blurred boundaries or inflammation on the non-venous side,and few nodules increase during follow-up,with or without small vacuoles.

Objective To analyze the efficacy and adverse reactions of donepezil in the treatment of patients with a continuous disease spectrum of Alzheimer's disease(AD)with pharmacogenomics.Methods Seventy-two patients who took donepezil therapy at the time of initial molecular pa-thology diagnosis of AD continuous disease spectrum in Chinese PLA General Hospital from Jan-uary 2022 to January 2023 were recruited.Cells from the oral buccal mucosa were collected,and MassARRAY nucleic acid mass spectrometry was applied to detect the genotypes of CYP2D6,the gene encoding cytochrome P450 2D6 enzyme,and CHAT,the gene encoding acetylcholine trans-ferase.After 9 months of follow-up,drug efficacy was indirectly determined by neurological func-tion scales,caregiver evaluations,and drug prescribing behaviors,and thus,the 50 patients on donepezil alone were divide into effective group(n=28)and ineffective group(n=22).Seventy-two patients were divided into adverse reaction group(n=12)and no adverse reaction group(n=60).Multivariate logistic regression analysis was used to analyze the correlation between donepezil efficacy and pharmacogenomics.Results The frequencies of CHAT rs3793790 locus carrying G allele and rs2177370 locus carrying A allele were significantly higher in the effective group than the ineffective group(35.71％vs 9.09％,P=0.029;42.86％vs 9.09％,P=0.008).Multivariate lo-gistic regression analysis showed that donepezil was more effective in those who carrying rs3793790 G allele and/or rs2177370 A allele in the CHAT gene than those who carrying neither of the alleles(95％CI:1.20-34.47,P=0.030).There were no statistical differences in the CYP2D6 gene-adjusted activity score and whether or not carrying*10 between the patients with and without adverse reactions(P＞0.0 5).Conclusion In patients with a continuous spectrum of AD,donepezil efficacy is associated with CHAT gene polymorphisms,but there is no correlation between donepezil adverse reactions and CYP2D6 genotype.