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| 1 | Differentiation of Hepatocellular Carcinoma from Hepatic Hemangioma and Focal Nodular Hyperplasia using Computed Tomographic Spectral Imaging显示文摘Background and Aims:Hepatocellular carcinoma(HCC)is the most common primary hepatic malignancy.This study was designed to investigate the value of computed tomography(CT)spectral imaging in differentiating HCC from hepatic hemangioma(HH)and focal nodular hyperplasia(FNH).Methods:This was a retrospective study of 51 patients who underwent spectral multiple-phase CT at 40–140 keV during the arterial phase(AP)and portal venous phase(PP).Slopes of the spectral curves,iodine density,water density derived from iodine-and water-based material decomposition images,iodine uptake ratio(IUR),normalized iodine concentration,and the ratio of iodine concentration in liver lesions between AP and PP were measured or calculated.Results:As energy level decreased,the CT values of HCC(n=31),HH(n=17),and FNH(n=7)increased in both AP and PP.There were significant differences in IUR in the AP,IUR in the PP,normalized iodine concentration in the AP,slope in the AP,and slope in the PP among HCC,HH,and FNH.The CT values in AP,IUR in the AP and PP,normalized iodine concentration in the AP,slope in the AP and PP had high sensitivity and specificity in differentiating HH and HCC from FNH.Quantitative CT spectral data had higher sensitivity and specificity than conventional qualitative CT image analysis during the combined phases.Conclusions:Mean CT values at low energy(40–90 keV)and quantitative analysis of CT spectral data(IUR in the AP)could be helpful in the differentiation of HCC,HH,and FNH. | Weixia Li Ruokun Li Xiangtian Zhao Xiaozhu Lin Yixing Yu Jing Zhang Kemin Chen Weimin Chai Fuhua Yan | 2021 | Journal of Clinical and Translational Hepatology2021，9，3： | 6 |
| 2 | BUB1B and circBUB1B_544aa aggravate multiple myeloma malignancy through evoking chromosomal instability显示文摘Multiple myeloma(MM)is an incurable plasma cell malignancy in the bone marrow characterized by chromosome instability(CIN),which contributes to the acquisition of heterogeneity,along with MM progression,drug resistance,and relapse.In this study,we elucidated that the expression of BUB1B increased strikingly in MM patients and was closely correlated with poor outcomes.Overexpression of BUB1B facilitated cellular proliferation and induced drug resistance in vitro and in vivo,while genetic targeting BUB1B abrogated this effect.Mechanistic studies unveiled that enforced expression of BUB1B evoked CIN resulting in MM poor outcomes mainly through phosphorylating CEP170.Interestingly,we discovered the existence of circBUB1B_544aa containing the kinase catalytic center of BUB1B,which was translated by a circular RNA of BUB1B.The circBUB1B_544aa elevated in MM peripheral blood samples was closely associated with MM poor outcomes and played a synergistic effect with BUB1B on evoking CIN.In addition,MM cells could secrete circBUB1B_544aa and interfere the MM microenvironmental cells in the same manner as BUB1B full-length protein.Intriguingly,BUB1B siRNA,targeting the kinase catalytic center of both BUB1B and circBUB1B_544aa,significantly inhibited MM malignancy in vitro and in vivo.Collectively,BUB1B and circBUB1B_544aa are promising prognostic and therapeutic targets of MM. | Xiaozhu Tang Mengjie guo Pinggang Ding Zhendong Deng Mengying Ke Yuxia Yuan Yanyan Zhou Zigen Lin Muxi Li Chunyan Gu Xiaosong Gu Ye Yang | 2021 | Signal Transduction and Targeted Therapy2021，6，11： | 2 |
| 3 | Therapeutic endoscopy of localized gastric varices: pretherapy screening and posttreatment evaluation with MDCT portography显示文摘 | Hui Zhu Bei Shi Manavendra Upadhyaya Zhiyuan Wu Xiaozhu Lin Yunlin Wu Kemin Chen | 2010 | Abdominal Imaging2010，，1： | 1 |
| 4 | High definition CT Gemstone spectral imaging of the brain: initial results of selecting optimal monochromatic image for beam-hardening artifacts and image noise reduction显示文摘 | XIAOZHU LIN FEI MIAO JIANYING LI | 2011 | J Comput Assist Tomogr2011，35，2： | 1 |
| 5 | A proof of image Euler Number formula显示文摘Euler Number is one of the most important characteristics in topology. In two- dimension digital images, the Euler characteristic is locally computable. The form of Euler Number formula is different under 4-connected and 8-connected conditions. Based on the definition of the Foreground Segment and Neighbor Number, a formula of the Euler Number computing is proposed and is proved in this paper. It is a new idea to locally compute Euler Number of 2D image. | LIN Xiaozhu SHA Yun JI Junwei WANG Yanmin | 2006 | Science in China(Series F)2006，49，3： | 0 |
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