Objective To investigate the clinical manifesfations and diagnostic and therapeutic features of cholangiocarcinoma associated with hepatolithiasis.Methods The clinical data, the diagnotic and therapeutic featares of 54 cases of cholangiocacinoma associated with hepatolithiasis were retrospectively analyzed.Results The occurrence rate of hepatolithiasis concomitant with hepatocholangiocarcinoma was 11.8%.Due to a lack of specific clinical manifestations, the preoperative diagnosis of this condition was difficult. In this series, the (correct) diagnotic rate of hepatocholangiocarcinoma before operation was only 11.1%. The radical resection rate was 51.8%. Radical resection of the tumor had a better prognosis than that of non-resection of tumor.(Conclusions) Patients with long-term recurrent hepatolithiasis tended to have associated cholangiocarcinoma. Early diagnosis of the disease was difficult, and the treatment results and prognosis were poor. Therefore, (patients) with hepatolithiasis, espesially those with recurrent attacks, should undergo operation early. In cases diagnosed as hepatic cholangioearcinoma at operation, a radical resection should be performed, if possible, and a favorable outcome may be attained.

BACKGROUND: Tension headache means contraction headache or oppressive headache in bilateral occipital-cervical part or whole head. Its pathogenesy bas not been completely known yet, which may be related to many factors and the conventional therapy is drug heteropathy but the effects are different, especially on patients with chronic disease and side effects will be induced by long-time intake of drugs.OBJECTIVE: To explore the curative effect of oral negative pressure on patients with tension headache and its mechanism of ameliorating microcirculation disturbance.DESIGN: Case-control observation.SETTING: Department of Pathophysiology of Hebei North University.PARTICIPANTS: Twenty patients with tension headache in the Department of Neurology, First Affiliated Hospital of Hebei North University from December 2001 to June 2002 including 12 females and 8 males,aged 18-28 (mean 23.4) with the disease course of 1-6 years, were randomly divided into therapeutic group and control group with 10 patients in each group.METHODS: The oral negative pressure instrument was applied. Put the negative pressure exerting equipment in the optimal position of mouth, adjusted the negative pressure to (0.05±0.01) MPa. The therapeutic time was 10 minutes each time (5 minutes for the first time) once a day with the time fixed. There were 5 days in one course and totally 3 courses. Put the negative pressure exerting equipment into mouth of patients in the control group for 10 minutes each time without exerting negative pressure. Quantitative evaluation on pain was performed with visual analogue scale (VAS)method, excellent as the VAS score decreased above 70%, effective as the VAS score decreased between 30% and 70%, invalid as the VAS score decreased below 30%. XTL- Ⅱ type microcirculation micro-television system was used to observe the changes of nailfold microcirculation by magnifing 260 times. The first row nailfold of left ring figure was checked conventionally, state of microvessel, micro-bloodstream and peri-loop were recorded and degree of microcirculatory disturbance was quantitatively analyzed according to TianNiu 's weighing integral method.MAIN OUTCOME MEASURES: The therapeutic effect after three courses and results of microcirculation observation.RESULTS: Totally 20 included patients were involved in the analysis of results. VAS scores of 7 patients in the therapeutic group decreased above 70% (70%), while no patient in the control group; VAS scores of 2 patients in the therapeutic group decreased from 70% to 30% (20%) and one patient in the control group (10%); VAS scores of one patient in therapeutic group decreased below 30% (10%) and nine patie nts in the control group (90%). Negative pressure could obviously ameliorate the microcirculation disturbance and enable it to recover from moderate before treatment to nearly normal with the total score decreased from (4.18±0.68) points to (1.97±0.41) points (P ＜ 0.01).CONCLUSION:Oral negative pressure has a significant curative effect on patients with tension headache. Its mechanism may relate to the improvement of microcirculation and the adjustment of nervous functional disturbance.

Objective:To detect precancerous lesions of gastric cancer and biopsy tissue vascular endothelial growth factor (VEGF)and mutant p53 gene(mtp53)expression,to explore the development of clinical significance of VEGF and mutant p53 gene in gastric cancer.Methods:19 cases by endoscopic biopsies of normal gastric tissues,22 cases of intestinal metaplasia,47 cases of gastro-intestinal mucosal dysplasia, 54 cases of gastric cancer samples by immunohistochemical staining to detect the expression levels of VEGF and mtp53′s.Results: The expression levels of VEGF, mtp53 in normal gastric mucosa, intestinal metaplasia, dysplasia, and gradually increased gastric cancer was the law.mtp53 of VEGF expression in gastric carcinoma and compared with normal gastric tissue,intestinal metaplasia was significantly higher(P<0.05),but with atypical hyperplasia was no significant difference(P>0.05). Conclusion: The abnormal expression of VEGF and mutant p53 may be related to the degree of deterioration of the stomach tissue lesions related.

Objective To analyze the relationship between the abdominal fat and the progress of carotid atherosclerosis in the subject ageing 51-100 years.Methods 140 subjects receiving health examination in the department of health of Peking Union Medical College Hospital from 2015 to 2016 were included in the research.The abdominal fat area and distribution were calculated according to abdominal CT,and the progress of atherosclerosis in carotid artery was determined by ultrasound.Results In the population of 51-100 years old,there were no statistically significant difference in abdominal fat area and distribution among carotid artery plaque thickening group,arteriosclerosis nori-progressing group and plaque reducing group;In the population of 51-80 years old,the total abdominal fat was significantly higher in carotid artery plaque thickening group than in arteriosclerosis non-progressing group and plaque reducing group (P=0.05,P =0.03),abdominal visceral fat area also increased,but no significant difference was found (P＞0.05),and no significant differences in abdominal fat distribution was found (P＞0.05.Conclusion The less total area of abdominal fat is,the slower the progress of atherosclerosis in carotid artery is in the population of 51-80 years old.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To investigate the early clinical outcomes of a minimally invasive anterolateral approach (Orthopadische chirurgie munchen, OCM) versus a conventional (posterolateral approach, PLA) hemiarthroplasty in the treatment of senior femoral neck fractures.Methods:A retrospective analysis was performed on 90 elderly patients with femoral neck fractures who received anterolateral and posterolateral approaches for hemiarthroplasty in the Second Affiliated Hospital of Soochow University from December 2019 to June 2021 and were followed up. In the OCM group, there were 45 cases, including 18 males and 27 females, aged 83.33±5.29 years (range, 76-96 years); In the PLA group, there were 45 cases, including 13 males and 32 females, aged 81.87±5.00 years (range, 75-94 years). Postoperative, surgical indices, perioperative bleeding, and soft tissue injury were assessed; pain was assessed using the visual analogue scale (VAS), and hip function was evaluated using the Harris score and the University of California at Los Angeles (UCLA) score.Results:The incision length, postoperative hospital stay, hemoglobin reduction, and occult blood loss were lower in the OCM group than in the PLA group ( P<0.05), but there was no significant difference in intraoperative bleeding and postoperative transfusion rate ( P>0.05). Serum creatine kinase and C-reactive protein levels (232.98±83.70 IU/L and 81.67±48.85 mg/L) were lower in the OCM group than in the PLA group (296.93±124.58 IU/L and 104.79±36.75 mg/L) 1 day after surgery, and the differences were statistically significant ( t=2.86, P=0.005; t=2.54, P=0.013). Postoperative pain was significantly improved in all patients, and VAS scores were lower in the OCM group than in the PLA group at 12 h, 24 h, and 48 h postoperatively ( P<0.05). The time to get out of bed after surgery was 20.73±4.99 h in the OCM group compared with 41.69±13.58 h in the PLA group, with a statistically significant difference ( t=9.71, P<0.001). Harris scores (63.31±6.21 and 75.76±4.91) and UCLA scores (1.84±0.42 and 3.69±0.76) were higher in the OCM group on the day of discharge and at 1 month postoperatively than in the PLA group (52.69±10.01 and 71.33±3.66); (1.62±0.54 and 3.16±0.80) points, all with statistically significant differences ( P<0.05). However, the differences in Harris score and UCLA score between the two groups at 6 months postoperatively were not statistically significant ( P>0.05). There were two cases of intermuscular vein thrombosis in the OCM group, with a complication rate of 4% (2/45), and one case of dislocation in the PLA group, with a complication rate of 2% (1/45), there was no significant difference between the two groups ( P=1.000). Conclusion:The minimally invasive anterolateral approach is a more ideal procedure for elderly patients with femoral neck fractures undergoing hemiarthroplasty. It has the advantages of a short incision, small soft tissue damage, low occult blood loss, early removal from bed, a short postoperative hospital stay, an improvement in pain, and a good early recovery of hip function.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.