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.

Medical ultrasound technology is widely used for diagnosis and therapy in clinical practice.Ultrasound probes,which are directly contact with patients,pose a potential risk of pathogen transmission.This expert consen-sus was developed by a multidisciplinary team based on international guidelines,standards in China,and the results of a national survey,aiming to reduce the risk of healthcare-associated infection through standardizing reprocessing of medical ultrasound probes,and formulating consensus recommendations with the Delphi method.The consensus clarifies the reprocessing principles for three types of ultrasound probes of different infection risks:external-use ul-trasound probes,interventional percutaneous ultrasound probes,and internal-use ultrasound probes,puts forward systematic suggestions on the reprocessing standards and disinfection levels of ultrasound probe isolation covers and coupling agents,the reprocessing procedures and methods of ultrasound probes,as well as architectural layout and management of reprocessing,so as to provide a scientific prevention and control framework for ensuring ultrasound diagnosis and therapy safety.

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.

Medical ultrasound technology is widely used for diagnosis and therapy in clinical practice.Ultrasound probes,which are directly contact with patients,pose a potential risk of pathogen transmission.This expert consen-sus was developed by a multidisciplinary team based on international guidelines,standards in China,and the results of a national survey,aiming to reduce the risk of healthcare-associated infection through standardizing reprocessing of medical ultrasound probes,and formulating consensus recommendations with the Delphi method.The consensus clarifies the reprocessing principles for three types of ultrasound probes of different infection risks:external-use ul-trasound probes,interventional percutaneous ultrasound probes,and internal-use ultrasound probes,puts forward systematic suggestions on the reprocessing standards and disinfection levels of ultrasound probe isolation covers and coupling agents,the reprocessing procedures and methods of ultrasound probes,as well as architectural layout and management of reprocessing,so as to provide a scientific prevention and control framework for ensuring ultrasound diagnosis and therapy safety.

Objective To assess the effect of ultrasonic thyroid artificial intelligence(AI)-assisted diagnostic system(AI-assisted diagnostic system)for diagnosing medullary thyroid carcinoma(MTC)compared with different physicians and taken papillary thyroid carcinoma(PTC)as the controls.Methods Totally 63 MTC,70 PTC and 62 benign thyroid nodules confirmed by pathology were enrolled.AI-assisted diagnostic system was utilized to analyze thyroid nodules and identify the likelihood of malignancy,and the probability value threshold was set at ≥0.40.All thyroid nodules were retrospectively reviewed and categorized by 3 physicians(1 senior physician,1 attending physician and 1 junior physician)according to Chinese thyroid imaging reporting and data system(C-TIRADS).The efficacy of AI-assisted diagnostic system and physicians for diagnosing MTC and PTC were evaluated.Results AI-assisted diagnostic system showed lower sensitivity,specificity,positive predictive value,negative predictive value,accuracy,and area under the curve(AUC)for diagnosing MTC and PTC compared with physicians.Significant differences of AUC were found between senior physician and AI-assisted diagnostic system,as well as between attending physician and AI-assisted diagnostic system for diagnosing MTC and PTC(all P＜0.01),while no significant difference of AUC was between junior physicians and AI-assisted diagnostic system(both P＞0.05).The sensitivity,specificity,positive predictive value,negative predictive value,accuracy and AUC for AI-assisted diagnostic system for diagnosing MTC were all lower than those for diagnosing PTC,but the AUC was not significantly different(P＞0.05).Conclusion Ultrasonic thyroid AI-assisted diagnostic system had relatively high value for diagnosing MTC.

OBJECTIVESTo evaluate the value of ultrasound (US) in predicting axilla status and to investigate the clinic pathologic characters in the axillary node metastasis.

METHODSFrom June 2012 to June 2013, 323 female primary breast cancer patients who received both axilla ultrasound and pathology examinations were reviewed retrospectively. The features of axillary nodes including diameter, longitudinal-transverse axis ratio, cortical thickness and blood flow grade were used to evaluate axillary status. US accuracy of axillary node metastasis was analyzed correlated with the final pathology results. The clinical and histological features associated with axillary node metastasis was analyzed by χ² test.

RESULTSThe proportions of Luminal A-like, Luminal B-like, human epidermalgrowth factor receptor-2 positive and triple negative breast cancer were 11.1% (36/323), 58.5% (189/323), 13.3% (43/323) and 17.0% (55/323) . The sensitivity, specificity, positive predictive value and negative predictive value of axilla US in the diagnosis of nodal metastasis were 35.6% (46/129), 98.9% (181/183), 95.8% (46/48) and 68.6% (181/264). Axillary lymph node metastasis had statistically significant correlation with menopausal status and clinical tumor size (χ² = 4.337, 11.100; P = 0.037, 0.001).

CONCLUSIONSStandardized ultrasound is the basic way to evaluate axilla status. Sentinel lymph node biopsy should be done to acquire accurate preoperative staging of axilla when US shows no signs of metastasis. Axillary lymph node metastasis is significantly related to menopausal status and clinical tumor size, but not significantly related to subtype classification of primary breast cancer.

Axilla ; Breast Neoplasms ; pathology ; Female ; Humans ; Lymph Nodes ; Lymphatic Metastasis ; diagnostic imaging ; Neoplasm Staging ; Retrospective Studies ; Sensitivity and Specificity ; Sentinel Lymph Node Biopsy ; Ultrasonography

BACKGROUNDLegionella is an important community-acquired pneumonia pathogen. Although the elderly are especially susceptible to Legionella, few studies have looked at comparative radiographic features of Legionella pneumonia in this population. The aim of this study was to explore the chest radiographic characteristics of community-acquired Legionella pneumonia in the elderly.

METHODSSerial chest radiographs obtained in 34 patients hospitalized with serologically proven Legionella pneumonia were retrospectively reviewed. Chest X-ray features of an aged group of ≥ 65 years were assessed and compared with a non-aged group of <65 years old with regard to initial patterns and distributions of pulmonary abnormalities, accompanying signs, and progression.

RESULTSThe most common initial presentation was a patchy alveolar infiltrate involving a single lobe, most often the lower lobe. There was no middle or lingular lobe involvement in the aged group patients, but bilateral pleural effusion was significantly more common in this group. In the aged group patients, radiographic progression following adequate therapy, despite a clinical response, was more often noted and the radiographs were less likely to have returned to the premorbid state at discharge, but the differences were not significant between the two groups.

CONCLUSIONThe discrepancy between imaging findings and clinical symptoms seems more prominent in community-acquired Legionella pneumonia in the elderly.

Adolescent ; Adult ; Community-Acquired Infections ; diagnostic imaging ; Female ; Humans ; Legionella ; pathogenicity ; Legionnaires' Disease ; diagnostic imaging ; Lung ; diagnostic imaging ; microbiology ; Male ; Middle Aged ; Pneumonia ; diagnostic imaging ; Radiography ; Retrospective Studies ; Young Adult

Objective To summary the color Doppler imaging feature of localized Castleman disease.Methods From January 1997 to November 2011,32 localized Castleman diseases which were proved by pathology were analyzed.Results Round-like,hypoechoic,hypervascular lesions were showed in 23 hyalinevascular type lesions,2 of them with calcium,3 of them with structure liked lymph node hilum.Round-like,hypoechoic,hypervascular lesions or normal lymph node were showed in 5 plasma- type lesions and 4 mixed type lesions.Conclusions When round like,hypoechoic,hypervascular lesion is found by ultrasonography,Castleman should be considered.Calcium or lymph nod hilum-like structure is special finding in diagnosis of Castleman disease by ultrasonography.

Objective: To study the effect of Interleukin(IL)-17 on neutrophil apoptosis and try to explain the possible mechanism involved. Methods: Neutrophils isolated from healthy donors were incubated in enriched RPMI 1640 cell culture medium at 37 ℃ in 5% carbon dioxide. Subgroups were incubated with IL-17, heat-denatured IL-17 (X-IL-17), dexamethasone (DEX), or buffer alone. Apoptosis was assessed by morphologic changes, by detecting DNA strand breaks. Production of proapoptotic protein Bax by neutrophils was evaluated by immunocytochemistry. Results: At the time of neutrophil incubation, neutrophils in the control subsets exhibited morphologic evidence of apoptosis. A steady rise in apoptosis index (AI) was noted, with (1.54?0.08)% for 0 h, (11.48?1.80)% (compared with 0 h, P0.05) for 0 h, (20.47?6.22)% ( compared with control 12 h, P0.05).Neutrophils apoptosis was accompanied by DNA fragmentation. In all groups, the increasing of Bax immunoreactivity was strongly related with more apoptotic neutrophils (r=0.932, P

Objective:To expose the vulnerability of HIV/AIDS infection among youth out of schools in a holistic view through understanding lifestyle,peer relations,awareness of HIV/AIDS,and HIV/AIDS prevention service of the youth.Methods:A cross-sectional survey based on the collective random sampling was conducted among 584 youth out of schools with or without a job in Anshan City,Liaoning Province in October 2005.Results:The awareness rate of HIV/AIDS among youth out of schools was 58.9%,and 65.6% of the subjects never accepted any health service related to HIV/AIDS prevention.42.6% of the respondents had sexual experience,and the rate of having sexual experience among males(62.3%)was higher than that of females(37.7%).And 30.5% of the youth seldom or never used a condom,51.2% of the youth having sex didn't use a condom in his/her last sex.28.2% of the youth having sex were ever involved in commercial sex relations.22 of the respondents(3.8%)had the experience of drug substance,the rate of having sex experience among youth who used the substance was higher than that of the youth who never used the substance.Smoking,alcohol abusing,visiting recreation places,high month consumption were the risk factors of pre-marital sex,and high awareness of HIV/AIDS was the protective factor of pre-marital sex.Conclusion:The youth out of schools were vulnerable in sexual behavior,substance use,peer influencing,social environment,and HIV/AIDS prevention service in terms of HIV/AIDS infection.