Objective: To evaluate the feasibility and effectiveness of dual fluorescence laparoscopy in the localization of ureteral stricture and its blood supply，and to provide a new idea for the treatment of complex ureteral stenosis，thus helping doctors to improve the efficiency of ureteral reconstruction surgery. Methods: Our team developed a dual fluorescence laparoscopic system，which could simultaneously identify the ureter stricture by intra-ureteral injection of methylene blue (MB) and assess the blood supply of the ureteral stumps by intravenous injection of indocyanine green (ICG). Results: The clinical data of 3 patients who underwent lingual mucosa ureteroplasty using dual fluorescence laparoscopy in Zhongnan Hospital of Wuhan University were retrospectively analyzed.All operations were successful，without conversion to open surgery.The operation time was 144，132 and 163 minutes，respectively.The length of harvested lingual mucosa graft was 2.0，2.8 and 3.5 cm，respectively.No intraoperative or postoperative complications occurred.Eight weeks after operation，ureterography showed that the ureter was unobstructed. Conclusion: Dual fluorescence laparoscopy is safe and feasible in the repair of complex ureteral stricture with lingual mucosa graft，which provides a new idea for complex ureteral reconstruction.

Background and purpose:In the quality control of mammography,the signal-to-noise ratio(SNR)refers to the ratio of the useful signal intensity to the background noise in the image,which is one of the important indicators for measuring the quality of the image.The coefficient of variation(CoV)is a commonly used indicator to describe the consistency and repeatability of SNR.This study aimed to assess the stability and repeatability of mammographic device performance by analyzing the changes in SNR CoV in two-dimensional(2D)images and tomosynthesis images(referred to as Tomo images)under different exposure modes using three mammographic devices from different manufacturers.Methods:A polymethylmethacrylate(PMMA)phantom designed for mammography quality control was used to perform automatic exposure detection at PMMA thicknesses ranging from 20-80 mm,with actual compression thickness equivalent to the average density of the breast compressed to 21-103 mm under full-field digital mammography(FFDM),low-dose mammography and digital breast tomosynthesis(DBT)exposure modes.The CoV of SNR in 2D images and tomosynthesis images was calculated for different mammographic devices under different exposure modes and compression thicknesses.Results:Between the compression thicknesses equivalent to the average density of the breast from 21 mm to 103 mm under FFDM,low-dose mammography,and DBT exposure modes,the differences in SNR CoV of 2D images under different exposure modes among mammographic devices 1,2,and 3 were statistically significant only in the DBT exposure mode(P=0.003),with SNR CoV ranging from 0.188%to 0.720%,0.368%to 1.073%and 0.402%to 1.662%,respectively.There were no statistically significant differences in SNR CoV of 2D images among devices 1,2,and 3 under FFDM and low-dose exposure modes(P=0.060).Under the DBT exposure mode,there were no statistically significant differences in the SNR CoV of the first projection image and the 0° projection image of tomosynthesis among devices 1(2 angles),2,and 3(P=0.373,P=0.742,P=0.225,P=0.693,respectively).Conclusion:The SNR CoV in 2D images and tomosynthesis images varies under different mammographic devices and exposure modes,with no fixed or standard values,but all within the required range for mammographic device quality control.The stability and repeatability of 2D images of mammographic devices are better under FFDM and low-dose exposure modes;the SNR CoV values of the first projection image and the 0° projection image of tomosynthesis under the DBT exposure mode show no statistical differences,indicating good stability of the devices.

Background and purpose:In the quality control of mammography,the signal-to-noise ratio(SNR)refers to the ratio of the useful signal intensity to the background noise in the image,which is one of the important indicators for measuring the quality of the image.The coefficient of variation(CoV)is a commonly used indicator to describe the consistency and repeatability of SNR.This study aimed to assess the stability and repeatability of mammographic device performance by analyzing the changes in SNR CoV in two-dimensional(2D)images and tomosynthesis images(referred to as Tomo images)under different exposure modes using three mammographic devices from different manufacturers.Methods:A polymethylmethacrylate(PMMA)phantom designed for mammography quality control was used to perform automatic exposure detection at PMMA thicknesses ranging from 20-80 mm,with actual compression thickness equivalent to the average density of the breast compressed to 21-103 mm under full-field digital mammography(FFDM),low-dose mammography and digital breast tomosynthesis(DBT)exposure modes.The CoV of SNR in 2D images and tomosynthesis images was calculated for different mammographic devices under different exposure modes and compression thicknesses.Results:Between the compression thicknesses equivalent to the average density of the breast from 21 mm to 103 mm under FFDM,low-dose mammography,and DBT exposure modes,the differences in SNR CoV of 2D images under different exposure modes among mammographic devices 1,2,and 3 were statistically significant only in the DBT exposure mode(P=0.003),with SNR CoV ranging from 0.188%to 0.720%,0.368%to 1.073%and 0.402%to 1.662%,respectively.There were no statistically significant differences in SNR CoV of 2D images among devices 1,2,and 3 under FFDM and low-dose exposure modes(P=0.060).Under the DBT exposure mode,there were no statistically significant differences in the SNR CoV of the first projection image and the 0° projection image of tomosynthesis among devices 1(2 angles),2,and 3(P=0.373,P=0.742,P=0.225,P=0.693,respectively).Conclusion:The SNR CoV in 2D images and tomosynthesis images varies under different mammographic devices and exposure modes,with no fixed or standard values,but all within the required range for mammographic device quality control.The stability and repeatability of 2D images of mammographic devices are better under FFDM and low-dose exposure modes;the SNR CoV values of the first projection image and the 0° projection image of tomosynthesis under the DBT exposure mode show no statistical differences,indicating good stability of the devices.

Professor FU Wen-bin, based on the concept of the "yang-oriented approach", identifies "yang deficiency with excess yin" as the underlying pathological mechanism of "five delays and five weaknesses" in children. He recommends a treatment model that included acupuncture, moxibustion, and rehabilitation, integrating various therapeutic methods of acupuncture, refined moxibustion, and auricular point sticking. Specific acupoints along the conception vessel, governor vessel, and bladder meridian, as well as related acupoints with tonifying effects on spleen and kidney, are selected to achieve the therapeutic goal of "promoting yang and nourishing yang simultaneously".
Child ; Humans ; Acupuncture Therapy ; Meridians ; Moxibustion ; Acupuncture Points ; Acupuncture

Objective:To explore the value of different radiomics models based on machine learning in predicting the risk of distant recurrence and metastasis of triple-negative breast cancer after neoadjuvant therapy.Methods:The clinical and imaging data of 150 patients with triple-negative breast cancer (TNBC) confirmed by histopathology were retrospectively analyzed. All patients underwent neoadjuvant chemotherapy and surgical resection from August 2011 to May 2017 in Fudan University Shanghai Cancer Center and Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. One hundred and nine patients from Shanghai Fudan University Shanghai Cancer Center were used as the training group, and 41 patients from Ruijin Hospital, Shanghai Jiao Tong University School of Medicine were used as the validation group. The features were extracted from dynamic contrast-enhanced MRI (DCE-MRI) before treatment and were added with time domain features innovatively. Least absolute shrinkage and selection operator cross validation and recursive feature elimination were applied to select features. Six different supervised machine learning algorithms (logistic regression, linear discriminant analysis, k-nearest neighbor, naive bayesian, decision tree, support vector machine) were used to predict the prognosis. ROC curve, accuracy and F1 measure were used to evaluate the performance of the six algorithms, and also verified by the validation group.Results:The support vector machine algorithm had the best predictive effect in the recurrence and metastasis model based on 15 features, with the highest area under curve (training group was 0.917, validation group was 0.859), and the highest accuracy rate (training group was 87.5%, validation group was 82.9%) and the highest F1 measure (training group was 0.800, validation group was 0.741). In addition, of the 15 imaging features, 12 were the time domain features and 3 were spatial features.Conclusion:With the help of the time domain features and machine learning algorithms, radiomics signatures based on preoperative DCE-MRI can help predict the distant prognosis for TNBC after neoadjuvant chemotherapy and provide support for clinical decision making and follow-up management.

Apoptosis ; Cell Differentiation ; Cell Line, Tumor ; Humans ; Leukemia, Promyelocytic, Acute ; RNA, Long Noncoding ; Tretinoin

AIM:To explore the therapeutic effect of a novel Rho kinase inhibitor FSD-C10 onβ-amyloid pro-tein precursor (APP)/presenilin-1 (PS1) double transgenic mice.METHODS: The transgenic mice overexpressing hu-man APP with the Swedish mutation (695) and human PS1 with ΔE9 mutation at the age of 8 months were used in this study.The mice were randomly divided into model group and FSD-C10 intervention group, and wild-type mice at the same age served as normal controls .The mice in FSD-C10 intervention group were treated with FSD-C10 (25 mg· kg-1 · d-1 ) for 2 months by intraperitoneal injection .The mice in model group and the wild-type mice were injected with saline in the similar manner.Morris water maze (MWM) test was applied to examine the capacity of learning and memory .The Aβ1-42 deposition, Tau protein phosphorylation , and the expression of β-site APP-cleaving enzyme ( BACE) as well as inflammato-ry molecules, such as TLR-4 and NF-Κb, and M1/M2 microglial markers, such as Inos and Arg-1, were determined by the methods of immunohistochemistry and Western blot .RESULTS: Compared with model group , FSD-C10 significantly improved the learning and memory abilities of APP/PS1 double transgenic mice , accompanied by reduced Aβ1-42 deposi-tion, Tau protein phosphorylation and BACE expression in the hippocampus .The intervention of FSD-C10 decreased the protein levels of TLR-4 and p-NF-Κb, reduced the expression of Inos and increased the expression of Arg-1 in the brain tissues.CONCLUSION:The novel Rho kinase inhibitor FSD-C10 improves the capacity of spatial learning and memory in APP/PS1 double transgenic mice , which may be related to the inhibition of TLRs/NF-Κb signaling pathway , the reduction of the secretion of inflammatory molecules and the polarization of anti-inflammatory M2 microglia, thus improving the in-flammatory microenvironment of the brain in APP/PS1 double transgenic mice .

MicroRNAs (miRNAs) are small non-coding RNAs involved in the expression and regulation after target gene transcription .Through complete or incomplete pairing with corresponding target gene so as to degrade mRNA or interfere with its translation ,they negatively regulate target gene expression .The differential expression of miRNA has been reported to play a role in the pathophysiological process of neoplastic and non-neoplastic diseases .Pituitary adenomas are tumors that occur in the anterior pituitary gland .Recently ,researchers have found that differential expression of miRNA can be shown in different hormone types ,sizes and invasiveness of pituitary adenoma and pituitary carcinoma ,which implicate the possible role of miRNA as diagnosis marker and therapeutic target of pituitary adenoma .This article will summarize the research progress of miRNA in the diagnosis and treatment of pituitary adenomas .

Objective To describe the disease distribution in endocrine emergency consultation. Meth-ods The pattern and characteristics of emergency cases encountered by endocrinology chief resident of Peking Union Medical College Hospital from March 1, 2010 to February 28, 2011 were retrospectively analyzed. Results A total of 196 patients received consultation in the Emergency Department and Intensive Care Unit. The most common diagnosis was electrolyte disturbance ( 69 cases, 35. 2%) , followed by thyroid disease ( 56 cases, 28. 6%) and carbohydrate metabolic disorder (49 cases, 25. 0%) . Hyponatremia was the most common electro-lyte disturbance (65. 2%) . The number of emergency consultation cases in winter and spring (110 cases) excee-ded that in autumn and summer (86 cases), so did the proportion of electrolyte disturbance cases (39. 1% vs. 30. 2%) . The euthyroid sick syndrome was common in the Intensive Care Unit in the analyzed consultation cases (28. 6%) . Conclusion Disease pattern in endocrine emergency consultation cases has changed. Electrolyte disturbance becomes a common and important disease in endocrine emergency consultation and we should there-fore pay serious attention to this condition in clinical practice.