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口腔外科开展继续医学教育的经验与思考

中国口腔颌面外科杂志 2018年第2期16卷 176-179页

作者：于海侯锐许广杰杨霞惠小勇周宏志丁宇翔薛洋胡开进军事口腔医学国家重点实验室国家口腔疾病临床医学研究中心陕西省口腔疾病临床医学研究中心第四军医大学口腔医院口腔外科陕西西安710032 第四军医大学研究生院陕西西安710032 中国人民解放军第413医院口腔科浙江舟山316000

继续医学教育是一种终生性医学教育制度。本文从口腔外科继续医学教育存在的问题入手,总结第四军医大学口腔医院口腔外科开展继续医学教育的经验,并探讨今后持续开展口腔外科继续医学教育的思路。

关键词：继续医学教育口腔外科医院管理

基于人工智能平台直肠癌新辅助治疗效果评估系统外科临床应用专家共识(2022版)

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中华外科杂志 2022年第8期60卷 732-735页

作者：中华医学会外科学分会结直肠外科学组北京航空航天大学虚拟现实技术与系统国家重点实验室张忠涛郝爱民卢云李帅高源不详首都医科大学附属北京友谊医院普外科国家消化系统疾病临床医学研究中心北京100050 北京航空航天大学虚拟现实技术与系统国家重点实验室北京100191 青岛大学附属医院北京航空航天大学

新辅助治疗是进展期直肠癌治疗体系的重要组成部分, 目前评价新辅助治疗效果的主要手段是MRI。为了缓解我国影像科医师相对缺乏的现状, 中华医学会外科学分会结直肠外科学组联合北京航空航天大学虚拟现实技术与系统国家重点实验室, 参... 详细信息

新辅助治疗是进展期直肠癌治疗体系的重要组成部分, 目前评价新辅助治疗效果的主要手段是MRI。为了缓解我国影像科医师相对缺乏的现状, 中华医学会外科学分会结直肠外科学组联合北京航空航天大学虚拟现实技术与系统国家重点实验室, 参考目前利用人工智能自动识别系统协助直肠癌新辅助治疗效果评估的相关研究, 提出基于人工智能平台的直肠癌新辅助治疗效果评估系统的外科临床应用专家共识, 以期引导该技术的规范应用, 提高影像学阅片的效率和准确性。

关键词：直肠肿瘤人工智能新辅助治疗深度学习

Chinese guidelines for the application of colon cancer staging recognition systems based on artificial intelligence platforms (2021)

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Intelligent Medicine 2021年第1期1卷 37-42页

作者： Yun Lu Shuai Li Yuan Gao Yong Dai Bo Feng Fanghai Han Jiagang Han Jingjing He Xinxiang Li Guole Lin Qian Liu Guiying Wang Quan Wang Zhenning Wang Zheng Wang Aiwen Wu Bin Wu Yingchi Yang Hongwei Yao Wei Zhang Jianping Zhou Aimin Hao Zhongtao Zhang 无 Department of General Surgery The Affiliated Hospital of Qingdao UniversityQingdaoShandong 266003China Beihang university State Key Laboratory of Virtual Reality Technology and Systems Beijing 100191China Department of General Surgery Qilu Hospital of Shandong UniversityJinanShandong 250012China Department of General Surgery Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200020China Shanghai Minimally Invasive Surgery center Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200020China Department of Gastrointestinal Surgery Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdong 510120China Department of General Surgery Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100027China Institute of International Law Chinese Academy of Social SciencesBeijing 102442China Department of Colorectal Surgery Fudan University Shanghai Cancer CenterShanghai 200032China Department of Oncology Shanghai Medical CollegeFudan UniversityShanghai 200032China Department of General Surgery Peking Union Medical College HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100730China National Cancer center/National Clinical research center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100730China Third Hospital of Hebei Medical university ShijiazhuangHebei 50051China Department of Colon and Rectum Surgery The First Hospital of Jilin UniversityChangchunJilin 130031China Department of Surgical Oncology and General Surgery Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyangLiaoning 110001China Department of Gastrointestinal Surgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei 430030China Key Laboratory of Carcinogenesis and Translational research(Ministry of Education) Department of Unit II

The incidence and mortality of colon cancer in China are increasing each *** present,treatment selection for colon cancer patients mainly depends on imaging results,which require a large number of radiologists to *** China,there is a shortage and uneven distribution of experienced radiologists,which leads to delays and bias in the evaluation of imaging *** on these considerations,the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association in collaboration with experts at Beihang university has independently developed an artificial intelligence(AI)-based recognition system for the preoperative determination of colon cancer stage to partially replace the work of and relieve the pressure on *** guidelines aim to standardize the use of AI-based recognition systems in the preoperative staging of colon cancer and guide their clinical application.

关键词： Artificial intelligence Colon cancer Deep learning Preoperative staging

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腹腔镜胃癌手术操作指南(2023版)

中华消化外科杂志 2023年第4期22卷 425-436页

作者：中华医学会外科学分会腹腔镜与内镜外科学组中国研究型医院学会机器人与腹腔镜外科专业委员会中国抗癌协会腔镜与机器人外科分会中国医学装备协会腔镜与微创技术分会郑民华余佩武臧璐马君俊赵永亮赵轩张鲁阳不详海交通大学医学院附属瑞金医院普通外科胃肠外科上海市微创外科临床医学中心上海200025 陆军军医大学第一附属医院普通外科重庆400038 上海交通大学医学院附属瑞金医院陆军军医大学第一附属医院

以腹腔镜技术为代表的微创外科技术是目前胃癌外科治疗的重要手段。随着近年越来越多高质量临床研究的开展和结果公布,腹腔镜技术在胃癌手术治疗的适应证得到了更多的循证医学支持,并在新辅助治疗患者、晚期胃癌转化治疗患者等多个方面... 详细信息

以腹腔镜技术为代表的微创外科技术是目前胃癌外科治疗的重要手段。随着近年越来越多高质量临床研究的开展和结果公布,腹腔镜技术在胃癌手术治疗的适应证得到了更多的循证医学支持,并在新辅助治疗患者、晚期胃癌转化治疗患者等多个方面进行了积极探索。此外,腹腔镜胃癌外科亦在淋巴结清扫及手术切除范围、全腹腔镜手术、保留幽门的胃切除、近端胃切除的消化道重建、淋巴结示踪等多方面具有较大进展。基于《腹腔镜胃癌手术操作指南(2016版)》,结合近年研究热点及高等级循证医学成果,以临床证据为基础,以临床问题为导向,再次修订更新形成《腹腔镜胃癌手术操作指南(2023版)》。

关键词：胃肿瘤腹腔镜全腹腔镜消化道重建

Observation of a p mass threshold enhancement in ψ′→π+π-J/ψ(J/ψ→γp) decay

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Chinese Physics C 2010年第4期34卷 421-426页

作者：麦迪娜 M. N. Achasov 安磊安琪安正华白景芝班勇 N. Berger 边渐鸣 I. Boyko R. A. Briere V. Bytev 蔡啸曹国富曹学香常劲帆 G. Chelkov 陈刚陈和生陈江川陈丽平陈玛丽陈鹏陈申见陈元柏初元萍 D. Cronin-Hennessy 代洪亮代建平 D. Dedovich 邓子艳 I. Denysenko M. Destefanis 丁勇董燎原董明义杜书先段麦英方建封常青傅成栋傅金林高原宁耿聪 K. Goetzen 龚文煊 M. Greco S. Grishin 顾运厅郭爱强郭立波郭玉萍韩少卿 F. A. Harris 何康林何苗何振亚衡月昆侯治龙胡海明胡继峰胡涛胡小为黄彬黄光明黄金书黄性涛黄燕萍姬长胜纪全季晓斌季筱璐贾卢魁姜丽丽江晓山焦健斌金大鹏金山 S. Komamiya W. Kuehn S. Lange 梁干庄李澄李翠李德民李飞李刚李海波李捷李家才李蕾李陆李秋菊李卫东李卫国李晓玲李小男李学潜李秀荣李玉晓李志兵梁昊梁泰然 Y.T. Liang 梁勇飞廖广睿廖小涛刘北江刘春秀刘春燕刘福虎刘芳刘峰刘冠川刘虎刘宏邦刘怀民刘红薇刘健刘觉平刘坤刘魁勇刘树彬刘晓海刘玉斌刘艳芳刘衍文刘勇刘振安鲁公儒吕军光吕绮雯吕晓睿卢云鹏罗成林罗民兴Zhejiang university 罗涛罗小兰马长利马凤才马海龙马秋梅马想马骁妍 M. Maggiora 冒亚军毛泽普闵建莫晓虎 N. Yu. Muchnoi Y. Nefedov 宁飞鹏 S. L. Olsen 欧阳群 M. Pelizaeus K. Peters 平加伦平荣刚 R. Poling 潘振声祁鸣钱森乔从丰邱进发荣刚阮向东 Sarantsev 邵明沈肖雁盛华义 S. Sonoda S. Spataro B. Spruck 孙德辉孙功星孙俊峰孙胜森孙晓东孙勇杰孙永昭孙志嘉孙振田唐昌建唐晓唐秀福田浩来 D. Toth G. S. Varner 万霞王博群王纪科王科王亮亮王灵淑王平王佩良王强王思广王晓东汪晓莲王雅迪王贻芳王亚乾王铮王志刚王至勇魏代会文硕频 U. Wiedner 伍灵慧吴宁吴元明吴智肖振军谢宇广许国发徐光明徐昊徐敏徐明徐新平徐晔许咨宗薛镇严亮鄢文标颜永红杨洪勋杨明杨璞杨世明杨永栩叶梅叶铭汉俞伯祥喻纯旭俞玲苑长征袁野曾云张丙新张炳云张长春张达华张宏浩章红宇张家文张建勇张景芝张雷张书华张学尧张瑶张银鸿张子平赵川赵海升赵家伟赵京伟赵雷赵玲赵明刚赵强赵书俊赵祥虎赵豫斌赵政国 A. Zhemchugov 郑波郑建平郑阳恒郑志鹏钟彬周莉周中良朱程朱凯朱科军朱启明朱兴旺朱永生朱自安庄建邹冰松邹佳恒左嘉旭 P. Zweber Institute of High Energy Physics CAS G.I. Budker Institute of Nuclear Physics SB RAS (BINP) Guangxi university university of Science and Technology of China Peking university Joint Institute for Nuclear research Carnegie Mellon university the Moscow Institute of Physics and Technology Nanjing university university of Minnesota the Bogolyubov Institute for Theoretical Physics university of Turin and INFN Liaoning university Zhengzhou university Shanxi university Tsinghua university GSI Helmholtzcentre for Heavy Ion research GmbH D-64291 DarmstadtGermany Nankai university Nanjing Normal university university of Hawaii Graduate university of Chinese Academy of Sciences Huazhong Normal university Henan Normal university Shandong university The university of Tokyo Universitaet Giessen The university of Hong Kong Sun Yat-Sen university Sichuan university Guangxi Normal university The Chinese university of Hong Kong Wuhan university Seoul National university Bochum Ruhr-university China center of advanced Science and Technology currently at Suzhou university Hunan university

The decay channel ψ′→ π 〉＋π^-J/ψ（J/ψ 〉 γp^-p） is studied using a sample of 1.06 × 10^8 ψ′ events collected by the BESIII experiment at BEPCII. A strong enhancement at threshold is observed in the p^-p invariant mass spectrum. The enhancement can be fitted with an S-wave Breit-Wigner resonance function with a resulting peak mass of M = 1861-13^＋6 （stat）-26^＋7 （syst） MeV/c^2 and a narrow width that is Г 〈 38 MeV/c^2 at the 90% confidence level. These results are consistent with published BESII results. These mass and width values do not match with well established mesons.

关键词： p^-p threshold enhancement

Search for the weak decayψ(3686)→■+c.c.

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Chinese Physics C 2023年第1期47卷 19-27页

作者：麦迪娜 M.N.Achasov P.Adlarson M.Albrecht R.Aliberti A.Amoroso 安美儒安琪白旭红白羽 O.Bakina R.Baldini Ferroli I.Balossino 班勇 V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann 蔡浩蔡啸 A.Calcaterra 曹国富曹宁 S.A.Cetin 常劲帆常万玲 G.Chelkov 陈琛陈超陈刚陈和生陈玛丽陈申见陈少敏 T.Chen 陈旭荣 X.T.Chen 陈元柏陈卓俊成伟帅初晓 G.Cibinetto F.Cossio 崔佳佳代洪亮代建平 A.Dbeyssi R.E.de Boer D.Dedovich 邓子艳 A.Denig I.Denysenko M.Destefanis F.De Mori 丁勇董静董燎原董明义董翔杜书先 P.Egorov 范玉兰方建房双世方文兴方易 R.Farinelli L.Fava F.Feldbauer G.Felici 封常青冯俊华 K Fischer M.Fritsch C.Fritzsch 傅成栋高涵高原宁高扬 S.Garbolino I.Garzia 葛潘婷葛振武耿聪 E.M.Gersabeck A Gilman K.Goetzen 龚丽龚文煊 W.Gradl M.Greco 谷立民顾旻皓顾运厅关春懿郭爱强郭立波郭如盼郭玉萍 A.Guskov 韩婷婷韩文颖郝喜庆 F.A.Harris 何凯凯何康林 F.H.Heinsius C.H.Heinz 衡月昆 C.Herold M.Himmelreich 侯国一侯颖锐侯治龙胡海明 J.F.Hu 胡涛胡誉黄光顺黄凯旋黄麟钦黄麟钦黄性涛黄燕萍黄震 T.Hussain N Hüsken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv 纪全姬清平季晓斌季筱璐吉钰瑶贾泽坤姜侯兵姜赛赛江晓山 Y.Jiang 焦健斌焦铮金山金毅荆茂强 T.Johansson N.Kalantar-Nayestanaki 康晓珅 R.Kappert 柯百谦 I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi 雷祚弘 H.Leithoff M.Lellmann T.Lenz 李翠李聪李春花李澄李德民李飞李刚李慧李贺李海波李惠静 H.N.Li J.Q.Li 李静舒李井文李科 L.J.Li 李龙科李蕾李明浩李培荣李素娴栗帅迎李腾李卫东李卫国李旭红李晓玲李晓宇梁昊梁浩梁浩梁勇飞梁羽铁廖广睿廖龙洲 J.Libby A.Limphirat 林创新林德旭 T.Lin 刘北江刘春秀 D.Liu 刘福虎刘芳刘峰 G.M.Liu H.Liu 刘宏邦刘怀民刘欢欢刘汇慧刘建北刘佳俊刘晶译刘凯刘魁勇刘珂刘亮刘露刘美宏刘佩莲刘倩刘树彬刘桐刘维克刘卫民刘翔刘英刘玉斌刘振安刘智青娄辛丑卢飞翔吕海江吕军光陆小玲卢宇卢云鹏 Z.H.Lu 罗成林罗民兴罗涛罗小兰吕晓睿吕翌丰马凤才马海龙马连良马明明马秋梅马润秋马瑞廷马骁妍马尧 F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni 冒亚军毛泽普 S.Marcello 孟召霞 J.G.Messchendorp G.Mezzadri H.Miao 闵天觉 R.E.Mitchell 莫晓虎 N.Yu.Muchnoi Y.Nefedov F.Nerling I.B.Nikolaev 宁哲 S.Nisar 牛艳 S.L.Olsen 欧阳群 S.Pacetti 潘祥潘越 A.Pathak M.Pelizaeus 彭海平 K.Peters 平加伦平荣刚 S.Plura S.Pogodin V.Prasad 齐法制齐航漆红荣祁鸣齐天钰钱森钱文斌钱圳乔从丰秦佳佳秦丽清覃潇平秦小帅秦中华邱进发屈三强 K.H.Rashid C.F.Redmer 任旷洁 A.Rivetti V.Rodin M.Rolo 荣刚 Ch.Rosn Institute of High Energy Physics Beijing 100049China Beihang university Beijing 100191China Beijing Institute of Petrochemical Technology Beijing 102617China Bochum Ruhr-university D-44780 BochumGermany Carnegie Mellon university PittsburghPennsylvania 15213USA Central China Normal university Wuhan 430079China Central South university Changsha 410083China China center of advanced Science and Technology Beijing 100190China COMSATS university Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan university Shanghai 200433China G.I.Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helmholtzcentre for Heavy Ion research GmbH D-64291 DarmstadtGermany Guangxi Normal university Guilin 541004China Guangxi university Nanning 530004China Hangzhou Normal university Hangzhou 310036China Hebei university Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal university Xinxiang 453007China Henan university of Science and Technology Luoyang 471003China Henan university of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal university Changsha 410081China Hunan university Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana university BloomingtonIndiana 47405USA AINFN Laboratori Nazionali di Frascati I-00044FrascatiItaly INFN Sezione di Perugia I-06100PerugiaItaly university of Perugia I-06100PerugiaItaly INFN Sezione di Ferrara I-44122FerraraItaly university of Ferrara I-44122FerraraItaly Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Jilin university Changchun 130012China Johannes Gutenberg university of Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Joint Institute for Nuclear research 141980 DubnaMoscow regionRussia Justus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16D-35392 GiessenGermany Lanzhou U

Using(448.1±2.9)×10^(6)ψ(3686)for the weak baryonic decayψ(3686)→Λc+∑-+c.c..The analysis procedure is optimized using a blinded *** significant signal is observed,and the upper limit on the branching fraction(B... 详细信息

关键词： weak decay upper limit BESIII detector