Over the past decade, the ability of regulatory T cells （Tregs） to suppress multiple types of immune cells has received tremendous attention. Mounting evidence has revealed that tissue resident Tregs control non-imm...Over the past decade, the ability of regulatory T cells （Tregs） to suppress multiple types of immune cells has received tremendous attention. Mounting evidence has revealed that tissue resident Tregs control non-immunological processes of their target tissues and contribute to a plethora of human diseases. The identification of novel tissue-specific Tregs has highlighted their heterogeneity and complexity. This review summarizes the recent findings for visceral adipose tissue CD4＋Foxp3＋ regulatory T cells （VAT Tregs）, muscle Tregs, bone Tregs and skin memory Tregs, with a focus on their unique functions in local tissues. This interpretation of the roles of tissue-specific Tregs and of their involvement in disease progression provides new insight into the discovery of potential therapeutic targets of human diseases.展开更多
乳腺叶状肿瘤(phyllodes tumor of the breast,PTB)作为一种临床少见的纤维上皮性肿瘤,发病率通常小于1%,常见于中年女性。根据组织学特征,PTB可分为良性、恶性和交界性,其中交界性占7%~40%。PTB肿瘤大小一般为4.0 cm~7.0 cm,大于10.0 c...乳腺叶状肿瘤(phyllodes tumor of the breast,PTB)作为一种临床少见的纤维上皮性肿瘤,发病率通常小于1%,常见于中年女性。根据组织学特征,PTB可分为良性、恶性和交界性,其中交界性占7%~40%。PTB肿瘤大小一般为4.0 cm~7.0 cm,大于10.0 cm则被定义为巨大叶状肿瘤。本文报告了一例超过20 cm的乳腺巨大交界性叶状肿瘤伴皮肤溃疡及瘤体内囊肿,并结合文献对其诊疗进行探讨。展开更多
Background:Youzhi artificial intelligence(AI)software is the AI-assisted decision-making system for diagnosing skin tumors.The high diagnostic accuracy of Youzhi AI software was previously validated in specific datase...Background:Youzhi artificial intelligence(AI)software is the AI-assisted decision-making system for diagnosing skin tumors.The high diagnostic accuracy of Youzhi AI software was previously validated in specific datasets.The objective of this study was to compare the performance of diagnostic capacity between Youzhi AI software and dermatologists in real-world clinical settings.Methods:A total of 106 patients who underwent skin tumor resection in the Dermatology Department of China-Japan Friendship Hospital from July 2017 to June 2019 and were confirmed as skin tumors by pathological biopsy were selected.Dermoscopy and clinical images of 106 patients were diagnosed by Youzhi AI software and dermatologists at different dermoscopy diagnostic levels.The primary outcome was to compare the diagnostic accuracy of the Youzhi AI software with that of dermatologists and that measured in the laboratory using specific data sets.The secondary results included the sensitivity,specificity,positive predictive value,negative predictive value,F-measure,and Matthews correlation coefficient of Youzhi AI software in the real-world.Results:The diagnostic accuracy of Youzhi AI software in real-world clinical settings was lower than that of the laboratory data(P<0.001).The output result of Youzhi AI software has good stability after several tests.Youzhi AI software diagnosed benign and malignant diseases by recognizing dermoscopic images and diagnosed disease types with higher diagnostic accuracy than by recognizing clinical images(P=0.008,P=0.016,respectively).Compared with dermatologists,Youzhi AI software was more accurate in the diagnosis of skin tumor types through the recognition of dermoscopic images(P=0.01).By evaluating the diagnostic performance of dermatologists under different modes,the diagnostic accuracy of dermatologists in diagnosing disease types by matching dermoscopic and clinical images was significantly higher than that by identifying dermoscopic and clinical images in random sequence(P=0.022).The diagnostic accurac展开更多
文摘Over the past decade, the ability of regulatory T cells （Tregs） to suppress multiple types of immune cells has received tremendous attention. Mounting evidence has revealed that tissue resident Tregs control non-immunological processes of their target tissues and contribute to a plethora of human diseases. The identification of novel tissue-specific Tregs has highlighted their heterogeneity and complexity. This review summarizes the recent findings for visceral adipose tissue CD4＋Foxp3＋ regulatory T cells （VAT Tregs）, muscle Tregs, bone Tregs and skin memory Tregs, with a focus on their unique functions in local tissues. This interpretation of the roles of tissue-specific Tregs and of their involvement in disease progression provides new insight into the discovery of potential therapeutic targets of human diseases.
文摘乳腺叶状肿瘤(phyllodes tumor of the breast,PTB)作为一种临床少见的纤维上皮性肿瘤,发病率通常小于1%,常见于中年女性。根据组织学特征,PTB可分为良性、恶性和交界性,其中交界性占7%~40%。PTB肿瘤大小一般为4.0 cm~7.0 cm,大于10.0 cm则被定义为巨大叶状肿瘤。本文报告了一例超过20 cm的乳腺巨大交界性叶状肿瘤伴皮肤溃疡及瘤体内囊肿,并结合文献对其诊疗进行探讨。
基金This study was supported by grants from the Fundamental Research Funds for the Central Universities(No.3332019163)the Beijing Municipal Science and Technology Commission Medicine Collaborative Science and Technology Innovation Research Project(No.Z191100007719001)。
文摘Background:Youzhi artificial intelligence(AI)software is the AI-assisted decision-making system for diagnosing skin tumors.The high diagnostic accuracy of Youzhi AI software was previously validated in specific datasets.The objective of this study was to compare the performance of diagnostic capacity between Youzhi AI software and dermatologists in real-world clinical settings.Methods:A total of 106 patients who underwent skin tumor resection in the Dermatology Department of China-Japan Friendship Hospital from July 2017 to June 2019 and were confirmed as skin tumors by pathological biopsy were selected.Dermoscopy and clinical images of 106 patients were diagnosed by Youzhi AI software and dermatologists at different dermoscopy diagnostic levels.The primary outcome was to compare the diagnostic accuracy of the Youzhi AI software with that of dermatologists and that measured in the laboratory using specific data sets.The secondary results included the sensitivity,specificity,positive predictive value,negative predictive value,F-measure,and Matthews correlation coefficient of Youzhi AI software in the real-world.Results:The diagnostic accuracy of Youzhi AI software in real-world clinical settings was lower than that of the laboratory data(P<0.001).The output result of Youzhi AI software has good stability after several tests.Youzhi AI software diagnosed benign and malignant diseases by recognizing dermoscopic images and diagnosed disease types with higher diagnostic accuracy than by recognizing clinical images(P=0.008,P=0.016,respectively).Compared with dermatologists,Youzhi AI software was more accurate in the diagnosis of skin tumor types through the recognition of dermoscopic images(P=0.01).By evaluating the diagnostic performance of dermatologists under different modes,the diagnostic accuracy of dermatologists in diagnosing disease types by matching dermoscopic and clinical images was significantly higher than that by identifying dermoscopic and clinical images in random sequence(P=0.022).The diagnostic accurac
