Objective To investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI radiomics and signal intensity in hepatobiliary phase(HBP)in predicting the pathological differentiation degree of hep-atocellular carcinoma(HCC).Methods The clinical and imaging data of 224 patients pathologically confirmed with HCC were col-lected.All patients were randomly divided into test group(68 cases)and training group(156 cases)at a ratio of 7︰3.The ITK-SNAP software was used to delineate region of interest(ROI)on arterial phase(AP),portal venous phase(PVP)and HBP,the radiomics features of the tumor tissues were extracted and the radiomics models were established using the FAE software.Logistic regression analysis was used to determine the clinical independent predictors associated with the pathological differentiation degree of HCC and to construct clinical model and clinical-radiomics model.Receiver operating characteristic(ROC)curve was plotted for each model and the area under the curve(AUC)was calculated to compare the diagnostic efficacy of the models.Results Age,alpha-fetoprotein(AFP),and r-glutamyltransferase(r-GT)were independent risk factors for predicting the degree of pathological differentiation of HCC.The AUC of the clinical-radiomics model in the training group and test group were 0.825 and 0.779,respectively,which were higher than those of the radiomics model(0.812 and 0.771)and the clinical model(0.687 and 0.666).Conclusion Gd-EOB-DTPA enhanced MRI radiomics have certain value in predicting the degree of pathological differentiation of HCC,while the predictive value of the signal intensity on HBP and the signal intensity ratio(SIR)on HBP is limited.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI radiomics and signal intensity in hepatobiliary phase(HBP)in predicting the pathological differentiation degree of hep-atocellular carcinoma(HCC).Methods The clinical and imaging data of 224 patients pathologically confirmed with HCC were col-lected.All patients were randomly divided into test group(68 cases)and training group(156 cases)at a ratio of 7︰3.The ITK-SNAP software was used to delineate region of interest(ROI)on arterial phase(AP),portal venous phase(PVP)and HBP,the radiomics features of the tumor tissues were extracted and the radiomics models were established using the FAE software.Logistic regression analysis was used to determine the clinical independent predictors associated with the pathological differentiation degree of HCC and to construct clinical model and clinical-radiomics model.Receiver operating characteristic(ROC)curve was plotted for each model and the area under the curve(AUC)was calculated to compare the diagnostic efficacy of the models.Results Age,alpha-fetoprotein(AFP),and r-glutamyltransferase(r-GT)were independent risk factors for predicting the degree of pathological differentiation of HCC.The AUC of the clinical-radiomics model in the training group and test group were 0.825 and 0.779,respectively,which were higher than those of the radiomics model(0.812 and 0.771)and the clinical model(0.687 and 0.666).Conclusion Gd-EOB-DTPA enhanced MRI radiomics have certain value in predicting the degree of pathological differentiation of HCC,while the predictive value of the signal intensity on HBP and the signal intensity ratio(SIR)on HBP is limited.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

ObjectiveTo study the efficacy of Aclasta combined with Liuwei Dihuangwan on osteoporosis and the effect on quality of life. MethodA total of 126 patients with osteoporosis who were treated in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from September 2019 to September 2020 were classified into the observation group and the control group with the randomized double-blind method. The observation group consisted of 60 patients （26 males and 34 females） with the age of 59-85 years old ［mean： （72.0 ± 6.5） years old］. The control group was composed of 66 patients （31 males and 35 females）， with the age of 62-82 years old ［mean： （73.0±8.2） years old］. The control group was treated with Aclasta， and the observation group Aclasta combined with Liuwei Dihuangwan. After treatment， the effective rate of each group was calculated. Bone mineral density （BMD） was measured in both groups before and after treatment， and serological parameters calcium （Ca）， total 25 （OH） vitamin D₃ （VITD-T）， osteocalcin （OC）， serum alkaline phosphatase （ALP）， parathyroid hormone （PTH）， β-collagen special sequence （β-CTX）， and total procollagen 1 N-terminal propeptide （T-P1NP） were also measured. Visual Analogue Scale （VAS） score， Japanese Orthopaedic Association （JOA） score， and Oswestry Disability Index （ODI） score were evaluated. On this basis， the effect was compared between the two groups. ResultThe indexes were insignificantly different between the two groups before treatment. After 6 months of treatment， the two groups showed decrease in VAS score and ODI score （P<0.01）， increase in JOA score （P<0.01）， BMD of lumbar spine and hip joint， elevation of Ca， VITD-T， OC， ALP， and PTH （P<0.05， P<0.01）， and decrease of β-CTX （P<0.01） as compared with before treatment. The level of T-P1NP dropped in the observation group after treatment （P<0.01）.After treatment， the total effective rate of the observation group was 88.3% （53/60）， as compared with the 74.2% （49/66） in the control group （χ²=4.047， P<0.05）. Moreover， after treatment， the observation group demonstrated higher levels of BMD， Ca， VITD-T， OC， and PTH （P<0.05）， lower levels of T-P1NP （P<0.05）， lower VAS score （P<0.01）， and higher JOA score （P<0.05） than the control group， but the ODI score was insignificantly different from that in the control group. ConclusionAclasta combined with Liuwei Dihuangwan is effective on osteoporosis， without increasing the incidence of adverse reactions. In addition， the combination can alleviate pain and improve the quality of life of osteoporosis patients.

Objective     To investigate short-term outcomes of robot-assisted Heller-Dor myotomy (RAHM-Dor) for achalasia of cardia and our learning curve experience. Methods     The clinical data and recent follow-up results of 42 patients who received RAHM-Dor from November 2015 to January 2020 in the Department of Thoracic Surgery of the First Affiliated Hospital of Nanchang University were retrospectively analyzed, including 20 males and 22 females with a mean age of 40.8±18.4 years. Results    Dysphagia was the most common symptom, followed by heartburn and regurgitation. The mean operation time was 122.8±23.9 min. The mean blood loss was 47.5±32.7 mL. Two patients suffered mucosal injury, and successfully repaired by suturing during surgery. There was no esophageal fistula, conversion to an open operation or perioperative death in this series. The median length of hospital stay was 8 (6, 9) d. In all patients, the Stooler and Eckardt scores of postoperative 1, 6 and 12 months decreased compared to those of pre-operation (P<0.001). Conclusion     RAHM-Dor is a safe and feasible avenue for the treatment of achalasia of cardia, and can achieve a satisfying short-term results. The learning curve shows a transition to the standard stage from the learning stage after 16-18 operations.

This study reports the surgical treatment of a female patient at age of 64 years with novel coronavirus (SARS-CoV-2) latent infection complicated with esophageal foreign body perforation with no significant changes in the lung CT. The patient was confirmed as SARS-CoV-2 infection on the 4th day after surgery and then was transferred into the Department of Infectious Disease in our hospital for treatment. This case has guiding value for the operation of thoracic surgery during the outbreak of novel coronavirus pneumonia.

Postoperative bronchopulmonary fistula(BPF) in lung cancer is an abnormal pathway formed by the bronchus communicating with the pleural cavity after pneumonectomy. Although surgical techniques and perioperative management have been improved, BPF is still a therapeutic challenges to thoracic surgeons. The treatment methods mainly include conservative treatment, surgical treatment and endoscopic interventional therapy. Among them, endoscopic interventional therapy is more and more widely used due to its minimally invasive characteristics, and has achieved a good therapeutic effect. This article reviews the endoscopic interventional treatment of BPF after pneumonectomy and hopes to provide some assistance for treatment of BPF.

Lung cancer is the most important cause for cancer death globally,and it ranks the first position in morbidity and mortality among all malignances in China.non small cell lung cancer(NSCLC)accounts for approximately 80% of all lung cancinoma.Surgical resection is the major treatment method for early stage NSCLC.Video-assisted thoracic surgery(VATS) is becoming the preferred surgical procedure for early stage NSCLC,because of it's minimally invasive features.However,controversy remains regarding the extent of lymph node dissection and the completeness of the lymphnode dissection by VATS for early stage NSCLC.This article is a brief review concerning this two questions.