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上肩盂唇前后(SLAP)撕裂:基于3TMR肩关节成像的诊断,三维TSE序列与传统2D序列的比较

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国际医学放射学杂志 2013年第2期 200-200页

作者： j.Y. jung W.H. jee M.Y. Park S.Y. Lee Y.S. Kim 郭凌飞 Department of Radiology Seoul St. Mary’s Hospital College of Medicine The Catholic University of Korea 505 Banpo-dong Seocho-gu Seoul 137-701 South Korea

目的本研究旨在探讨应用3D-TSE-SPACE(samp-lingperfectionwithapplication-optimisedcontrastsusingdiffer-entflipangleevolution)肩关节MR成像对上肩盂唇前后(SLAP)病变的诊断并与3.0TMR2DTSE序列对该病的诊断进行比较。材料与方法肩关节MR成像包括2DTSE序列与3DTSE-SPACE序列,由2名观察者回顾性分析87例接受肩关节成像病人的SLAP病变的存在及病变类型。使用McNemar’s检验对敏感性及特异性进行比较,Cohen’skappa法对观察者内部的一致性进行检验并分析受试者操作特征曲线。结果 2DTSE序列的平均敏感度、特异度、精确度分别为90%、85%、86%,3DTSE-SPACE序列为81%、86%、85%,两者之间差异没有统计学意义。2DTSE序列成像与3DTSE-SPACE的观察者内部的一致性均稳定(κ=0.76、0.68),2DTSE序列成像与3DTSE-SPACE在ROC曲线下的面积分别为0.92和0.90,差异没有统计学意义。结论 3DTSE-SPACE序列的MR肩关节成像对SLAP病变诊断具有较稳定的一致性并且具有较高的准确性。要点①MR关节成像被认为是肩关节成像的决定性方法。②多种不同的MR序列可以对SLAP病变进行检查。③与2DTSE序列相比,SLAP病变3DTSE-SPACE成像具有大致相同的精确性。④但是在3DTSE-SPACE成像中会出现更多的假阴性结果。⑤在使用3DTSE-SPACE成像代替2DTSE序列扫描之前,在技术上还需要进一步的提高。

关键词：肩关节成像 MR关节成像三维 SPACE 上肩盂唇前后病变

软组织良恶性肿瘤鉴别:在3.0T标准MR成像序列中附加定性和定量的扩散成像序列

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国际医学放射学杂志 2016年第3期 324-324页

作者： S.Y.Lee W.H.jee j.Y.jung M.Y.Park S.K.Kim C.K.jung 蓝星 Department of Radiology Seoul St.Mary’s HospitalCollege of MedicineThe Catholic University of Korea

摘要目的了解3.0 T MRI基础上增加DWI来鉴别软组织肿瘤良恶性的优势。方法回顾性分析63例因软组织肿瘤而手术的病人,均行3.0 T MRI及DWI。2位专家独立阅片,按照两步法分析肿瘤的恶性度:(1)标准MRI;(2)标准MRI联合定量及定性DWI。结果 6... 详细信息

摘要目的了解3.0 T MRI基础上增加DWI来鉴别软组织肿瘤良恶性的优势。方法回顾性分析63例因软组织肿瘤而手术的病人,均行3.0 T MRI及DWI。2位专家独立阅片,按照两步法分析肿瘤的恶性度:(1)标准MRI;(2)标准MRI联合定量及定性DWI。结果 63例肿瘤中有34例为恶性,29例为良性。在定性分析中,与良性肿瘤相比,DWI上恶性肿瘤信号高于骨骼肌更常见(P=0.003)。在定量分析中,恶性肿瘤

关键词：成像序列 DWI 软组织肿瘤良恶性 MR

Genomes reveal selective sweeps in kiang and donkey for high-altitude adaptation

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Zoological Research 2021年第4期42卷 450-460页

作者： Lin Zeng He-Qun Liu Xiao-Long Tu Chang-Mian ji Xiao Gou Ali Esmailizadeh Sheng Wang Ming-Shan Wang Ming-Cheng Wang Xiao-Long Li Hadi Charati Adeniyi CAdeola Rahamon Akinyele Moshood Adedokun Olatunbosun Oladipo Sunday Charles Olaogun Oscar jSanke Mangbon Godwin F Sheila Cecily Ommeh Bernard Agwanda jacqueline Kasiiti Lichoti jian-Lin Han Hong-Kun Zheng Chang-Fa Wang Ya-Ping Zhang Laurent A.F.Frantz Dong-Dong Wu State Key Laboratory of Genetic Resources and Evolution Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouHainan 571101China College of Animal Science and Technology Yunnan Agricultural UniversityKunmingYunnan 650201China Department of Animal Science Faculty of AgricultureShahid Bahonar University of KermanKermanPB 76169-133Iran Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China Sino-Africa joint Research Center Chinese Academy of SciencesKunmingYunnan 650223China Center for Excellence in Animal Evolution and Genetics Chinese Academy of SciencesKunmingYunnan 650223China Institute of Three-River-Source National Park Chinese Academy of SciencesXiningQinghai 810008China School of Biological and Chemical Sciences Queen Mary University of LondonLondon E14NSUK Department of Genetics Albert Einstein College of MedicineBronxNew YorkNY 10461USA Annoroad Gene Tech.(Beijing)Co. Ltd.Beijing 100176China State Key Laboratory of Genetic Resources and Evolution Yunnan Laboratory of Molecular Biology of Domestic AnimalsGermplasm Bank of Wild SpeciesKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Department of Veterinary Medicine University of IbadanIbadan 200284Nigeria Federal College of Animal Health and Production Technology Moor-PlantationIbadan 234102Nigeria Taraba State Ministry of Agriculture and Natural Resources Jalingo 660221Nigeria Division of Veterinary Office Serti 663101Nigeria Institute For Biotechnology Research jomo Kenyatta University of Agriculture and Technology Nairobi 62000-00200Kenya Department of Zoology National Museums of KenyaNairobi 40658-00100Kenya State Department of Livestock Ministry of AgricultureLivestockFisheries and IrrigationN

Over the last several hundred years,donkeys have adapted to high-altitude conditions on the Tibetan ***,the kiang,a closely related equid species,also inhabits this *** reports have demonstrated the importance of specific genes and adaptive introgression in divergent lineages for adaptation to hypoxic conditions on the Tibetan ***,we assessed whether donkeys and kiangs adapted to the Tibetan Plateau via the same or different biological pathways and whether adaptive introgression has *** assembled a de novo genome from a kiang individual and analyzed the genomes of five kiangs and 93 donkeys(including 24 from the Tibetan Plateau).Our analyses suggested the existence of a strong hard selective sweep at the EPAS1 locus in *** Tibetan donkeys,however,another gene,i.e.,EGLN1,was likely involved in their adaptation to high *** addition,admixture analysis found no evidence for interspecific gene flow between kiangs and Tibetan *** findings indicate that despite the short evolutionary time scale since the arrival of donkeys on the Tibetan Plateau,as well as the existence of a closely related species already adapted to hypoxia,Tibetan donkeys did not acquire adaptation via admixture but instead evolved adaptations via a different biological pathway.

关键词： Kiang Donkey High altitude Adaptation Selection

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子宫颈癌:比较2D和3DT2加权快速自旋回波在3.0TMRI上的影像质量和局部区域分期

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国际医学放射学杂志 2013年第3期 305-305页

作者： Y.R.Shin S.E.Rha B.G.Choi S.N.Oh M.Y.Park j.Y.Byun 陶志刚 Department of Radiology Seoul St.Mary’s HospitalCollege of MedicineThe Catholic University of Korea

目的比较3DT2加权快速自旋回波(TSE)与多平面2DT2加权TSE对于侵袭性子宫颈癌的评估。方法 75个子宫颈癌病人进行了3.0TMRI盆腔检查,均使用了5mm层厚的多平面2D(总时间为12min25s)以及1mm层厚的冠状位3DT2加权TSE序列扫描(7min20s)。对... 详细信息

目的比较3DT2加权快速自旋回波(TSE)与多平面2DT2加权TSE对于侵袭性子宫颈癌的评估。方法 75个子宫颈癌病人进行了3.0TMRI盆腔检查,均使用了5mm层厚的多平面2D(总时间为12min25s)以及1mm层厚的冠状位3DT2加权TSE序列扫描(7min20s)。对信噪比(SNR)进行定量分析,对影像质量进行定性分析。对45例接受根治性子宫切除术的病人进行了局部区域的分期。结果 3D成像中子宫颈癌的预估SNR及肿瘤相关的对比度显著增高(P<0.0001)。3D序列肿瘤的显示更好,但2D序列肿瘤边缘的锐度更高。两个序列整体的影像质量没有显著差异(P=0.38)。对于诊断宫旁浸润、阴道浸润和淋巴结转移的准确性、敏感性及特异性,两者没有明显差异。结论除了更短时间的MR数据采集,3DT2加权多平面重组影像在整体影像质量和子宫颈癌的分期准确度上大体相当于2DT2加权成像,但是对于肿瘤边缘的锐度显示还是有局限性。要点①对于子宫颈癌分期,3DT2加权序列等同于2DT2加权序列。②冠状位3D数据采集可以减少检查时间。③3D序列SNR和肿瘤相关的显著性明显更高。④3DT2加权重组影像对于肿瘤边缘的锐度显示不佳。

关键词：宫颈肿瘤 MRI 3D 肿瘤分期子宫颈

Small P values may not yield robust findings:an example using REST-meta-PD

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Science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze jia Na Zhao Hao-Ming Dong jia-Wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-Guang Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak Xiao Hu Xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-juan jia Christina jones jan Kassubek Lenka Krajcovicova Ajay Kurani jing Li Qing Li Ai-Ping Liu Bo Liu Hu Liu Wei-Guo Liu Renaud Lopes Yu-Ting Lou Wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin j.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica Hui-Fang Shang james M.Shine Priyank Shukla Tomas Slavicek Xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt jian Wang jue Wang Z.jane Wang Lu-Qing Wei Xia Wu Xiao-jun Xu Lei Yan jing Yang Wan-Qun Yang Nai-Lin Yao De-Long Zhang jiu-Quan Zhang Min-Ming Zhang Yan-Ling Zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic Science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic Department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.Lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy Department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy Department of Advanced Medical and Surgery Sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2nd Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China Department of Health and Exercise Science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada Department of Medicine(Neurology)University of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia Department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China Department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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