Objective To explore the value of ultrasound intelligent diagnostic system combined with mammography for differentiating benign and malignant non-mass breast lesions(NMBL).Methods Totally 107 patients with NMBL were retrospectively enrolled,including 64 cases of malignant(malignant group)and 43 cases of benign lesions(benign group).Clinical,routine ultrasound,ultrasound intelligent diagnostic system(artificial intelligence[AI]system)and mammography data were compared between groups.Logistic regression analysis was performed,receiver operating characteristic(ROC)curves were drawn,the areas under the curves(AUC)were calculated,and the efficacy of AI system combined with mammography for differentiating benign and malignant NMBL was analyzed.Results Significant differences of the maximum diameter of lesion,ratio of axillary lymph node enlargement and suspected malignant calcification on mammography,as well as of AI system malignancy risk and AI system breast imaging reporting and data system(BI-RADS)classification were found between groups(all P＜0.05).AI system binary classification was obtained based on AI system malignancy risk.The AUC of suspected malignant calcification on mammography,AI system BI-RADS classification and AI system binary classification for differential diagnosis of benign and malignant NMBL was 0.840,0.810 and 0.817,respectively,while of suspected malignant calcification on mammography combined with AI system BI-RADS classification or AI system binary classification were both 0.856,higher than that of AI system BI-RADS classification/AI system binary classification alone(both P＜0.05)but not significantly different with that of suspected malignant calcification on mammography alone(both P＞0.05).Logistic regression analysis of age,the maximum diameter of lesion,axillary lymph node enlargement and suspected malignant calcification on mammography combined with AI system malignancy risk(model 1),AI system BI-RADS classification(model 2)or AI system binary classification(model 3)showed that suspected malignant calcification on mammography,AI system malignancy risk,AI system BI-RADS classification and AI system binary classification were all independent risk factors of malignant NMBL(all P＜0.05),and AUC of model 1,2 and 3 for differentiating benign and malignant NMBL was 0.966,0.964 and 0.957,respectively.Conclusion Ultrasound intelligent diagnostic system combined with mammography was helpful for differentiating benign and malignant NMBL.Combining with clinical indicators might improve diagnostic efficacy.

Objective To explore the value of ultrasound intelligent diagnostic system combined with mammography for differentiating benign and malignant non-mass breast lesions(NMBL).Methods Totally 107 patients with NMBL were retrospectively enrolled,including 64 cases of malignant(malignant group)and 43 cases of benign lesions(benign group).Clinical,routine ultrasound,ultrasound intelligent diagnostic system(artificial intelligence[AI]system)and mammography data were compared between groups.Logistic regression analysis was performed,receiver operating characteristic(ROC)curves were drawn,the areas under the curves(AUC)were calculated,and the efficacy of AI system combined with mammography for differentiating benign and malignant NMBL was analyzed.Results Significant differences of the maximum diameter of lesion,ratio of axillary lymph node enlargement and suspected malignant calcification on mammography,as well as of AI system malignancy risk and AI system breast imaging reporting and data system(BI-RADS)classification were found between groups(all P＜0.05).AI system binary classification was obtained based on AI system malignancy risk.The AUC of suspected malignant calcification on mammography,AI system BI-RADS classification and AI system binary classification for differential diagnosis of benign and malignant NMBL was 0.840,0.810 and 0.817,respectively,while of suspected malignant calcification on mammography combined with AI system BI-RADS classification or AI system binary classification were both 0.856,higher than that of AI system BI-RADS classification/AI system binary classification alone(both P＜0.05)but not significantly different with that of suspected malignant calcification on mammography alone(both P＞0.05).Logistic regression analysis of age,the maximum diameter of lesion,axillary lymph node enlargement and suspected malignant calcification on mammography combined with AI system malignancy risk(model 1),AI system BI-RADS classification(model 2)or AI system binary classification(model 3)showed that suspected malignant calcification on mammography,AI system malignancy risk,AI system BI-RADS classification and AI system binary classification were all independent risk factors of malignant NMBL(all P＜0.05),and AUC of model 1,2 and 3 for differentiating benign and malignant NMBL was 0.966,0.964 and 0.957,respectively.Conclusion Ultrasound intelligent diagnostic system combined with mammography was helpful for differentiating benign and malignant NMBL.Combining with clinical indicators might improve diagnostic efficacy.

In recent years,the intensification of dairy farming has significantly improved production efficiency but has also led to a rise in the incidence of metabolic diseases.Conditions such as keto-sis,fatty liver,and hypocalcemia pose serious threats to dairy cattle health and productivity.These diseases not only profoundly affect individual physiological function but also impose considerable economic pressures and challenges on farm management.As research advances,exosomes have e-merged as a novel intercellular signaling molecule,showing unique potential in regulating dairy cattle's nutritional metabolism.Studies suggest that exosomes hold promise as biomarkers for dis-ease and can even serve as carriers for disease detection and prevention.Acting as a crucial mediator of intercellular communication,exosomes play an important role in modulating the metabolic processes of dairy cattle.This review aims to systematically explore the role of exosomes in bovine nutritional metabolism and to provide new perspectives and theoretical support for their potential as tools for diagnosing,treating,and preventing metabolic diseases in dairy cattle,thus advancing research and practice in this field.

In recent years,the intensification of dairy farming has significantly improved production efficiency but has also led to a rise in the incidence of metabolic diseases.Conditions such as keto-sis,fatty liver,and hypocalcemia pose serious threats to dairy cattle health and productivity.These diseases not only profoundly affect individual physiological function but also impose considerable economic pressures and challenges on farm management.As research advances,exosomes have e-merged as a novel intercellular signaling molecule,showing unique potential in regulating dairy cattle's nutritional metabolism.Studies suggest that exosomes hold promise as biomarkers for dis-ease and can even serve as carriers for disease detection and prevention.Acting as a crucial mediator of intercellular communication,exosomes play an important role in modulating the metabolic processes of dairy cattle.This review aims to systematically explore the role of exosomes in bovine nutritional metabolism and to provide new perspectives and theoretical support for their potential as tools for diagnosing,treating,and preventing metabolic diseases in dairy cattle,thus advancing research and practice in this field.

Objective To study the clinical features and protective measures of AIDS with fungal esophagitis as the initial presentation,improve the knowledge of non-specialist medical staff of AIDS. Methods The clinical manifestations,laboratory tess.endoscopic examination,and medical protective measures of 15 AIDS patients with fungal esophagitis were analyzed. Reults The patients were infected through sexual transmission mainly,and manifestation included difficuhy in swallowing,retrostemal pain,weight loss,fever,loss of appetite,fatigue and other symptoms.The patients got confirmed diagnosis by our hospital after visiting many other hospitals.3 patients were automatically discharged after confirmed diagnosis,other patients impreved after antifimgal therapy and symptomatic treatment.No iatrogenic infection occurred during hospitalization. Conclusions Non-specialist medical staff in AIDS should recognize the clinical features of AIDS,give timely confirmed diagnosis and treatment,avoid missed diagnosis and misdiagnosis,strengthen protective measures and avoid iatrogenic infection.

Objective To develop a clinically useful assay for detecting the mutations of HBV pre-C/BCP based on the pyrosequencing and accuracy, reproducibility and reliability of this assay was evaluated. Methods The pyrosequencing primers for HBV pre-C/BCP mutation were designed through the cluster analysis among one hundred HBV gene sequences. After the amplification of the fragment of pre-C/BCP with the template of pre-C/BCP mutation plasmids, the pyrosequencing method for pre-C/BCP detection was initially set up with this standard sample. The accuracy, reliability and reproducibility of the pre-C/BCP pyrosequencing were confirmed through the pre-C/BCP plasmids as a standard sample when compared with Sanger/genechip sequencing method pre-C/BCP pyrosequencing assay was applied for detecting pre-C/BCP mutation types of 60 chnical serum samples in HBV patients. Results The pre-C/BCP mutation detection assay based on pyrosequencing has been established in our study. The coincidence rate between pyrosequencing and Sanger squencing was 100%. The coincidence rate between the result of pyrosequencing and of genechip method was 91.7%. The reproducibility of this assay was 97. 8%. It indicates the pre-C/BCP pyrosequencing is a high-accurate method with, good-reproducibility and high-reliability. And multi-site detection can be achieved by pyrosequencing one time. A rare mutation T1758C was also detected. Conclusion Pyrosequencing for pre-C/BCP mutations assay is high-throughout method for simultaneous detection of multi-site mutation.

OBJECTIVETo detect the expression of hypoxia-inducible factor-1alpha(HIF-1alpha) in endometriosis and explore the possible role of HIF-1alpha in the pathogenesis of endometriosis.

METHODSImmunohistochemistry was performed to examine the expression of HIF-1alpha in 20 normal endometrium, 20 ectopic endometrium and 68 eutopic endometrium specimens from 68 endometriosis patients, and the results were analyzed statistically.

RESULTSThe expression of HIF-1alpha was significantly increased in ectopic endometrium than in normal endometrium (P<0.01), and the expression did not undergo changes with the normal menstrual cycle in the three types of endometrium.

CONCLUSIONHIF-1alpha expression increases in ectopic endometrium, suggesting that HIF-1alpha plays an important role in the pathogenesis of endometriosis.

Adult ; Endometriosis ; genetics ; Endometrium ; metabolism ; Female ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit ; genetics ; metabolism ; Menstrual Cycle ; metabolism