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| 1 | Incremental value of contrast echocardiography in the diagnosis of left ventricular noncompaction显示文摘 | Xiaoxiao Zhang Li Yuan Linli Qiu Yali Yang Qing Lv Lin Li Jing Wang Lin He Li Zhang Xinfang Wang Mingxing Xie Xu Yu Jin | 2016 | Frontiers of Medicine2016，10，4： | 10 |
| 2 | Effects of lipid shell microbubble on ultrasound mediated EGFP gene delivery to transplanted tumors:initial experience显示文摘Objective: To investigate the feasibility of ultrasound (US) mediated enhanced green fluorescent protein (EGFP) gene delivery in subcutaneous transplanted tumors of human cervical carcinoma (Hela) and the contribution of lipid shell microbubble (LSMB) on gene transfection. Methods: LSMB and plasmid were injected into nude mice by tail vein followed local US irradiation (P + LSMB + US group). US exposure parameter was set at 2.0 W/cm2, 2 min, duty cycle 20%. EGFP expression was evaluated by imaging for 7 days. Nude mice undergoing plasmid injection alone (P group), plasmid injection and US exposure (P + US group), plasmid and LSMB injection (P + LSMB group) were used as controls. Frozen section and histological examinations were conducted. Expression of EGFP was scored. Kinetics of protein expression post transfection and localization in vivo were evaluated. Results: Plasmid injection with LSMB plus US exposure strongly increased gene transfer efficiency. Strong EGFP expression was mainly seen in LSMB + P + US group. It was significantly higher than any of the following groups, P group, US + P group, or LSMB + P group (P < 0.01). In vivo expression level of post-US 3 days was significantly higher than any other time points (P < 0.01). There was not significant expression level of EGFP in other organs or tissues regardless of US exposure. No tissue damage was seen histologically. Conclusion: The combination of LSMB and US exposure could effectively transfer plasmid DNA to transplanted tumors without causing any apparently adverse effect. LSMB could be effective as a non-viral vector system in in vivo gene delivery. It would be a safe gene delivery method and provide an alternative to current clinical gene therapy. | Zhiyi Chen, Mingxing Xie, Xinfang Wang, Qing Lv, Shangwei Ding Department of Ultrasonography, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China | 2008 | The Chinese-German Journal of Clinical Oncology2008，7，7： | 1 |
| 3 | Two Giant Right Coronary Artery Aneurysms with Fistula to the Left Ventricle: Preliminary Diagnosis by Echocardiography显示文摘 | Yuman Li Mingxing Xie Xinfang Wang Qing Lv YaLi Yang Lin He | 2015 | Echocardiography2015，，6： | 1 |
| 4 | Development and validation of a nomogram to predict cardiac death after radiotherapy for esophageal cancer显示文摘Background:Patients frequently die from cardiac causes after radiotherapy for esophageal cancer.Early detection of cardiac death risk in these patients is crucial to improve clinical decision‐making and prognosis.Thus,we modeled the risk of cardiac death after irradiation for esophageal cancer.Methods:A retrospective analysis of 37,599 esophageal cancer cases treated with radiotherapy in the SEER database between 2000 and 2018 was performed.The selected cases were randomly assigned to the model development group(n=26,320)and model validation group(n=11,279)at a ratio of 7:3.We identified the risk factors most commonly associated with cardiac death by least absolute shrinkage and selection operator regression analysis(LASSO).The endpoints for model development and validation were 5‐and 10‐year survival rates.The net clinical benefit of the models was evaluated by decision curve analysis(DCA)and concordance index(C‐index).The performance of the models was further assessed by creating a receiver operating characteristic curve(ROC)and calculating the area under the curve(AUC).Kaplan‐Meier(K‐M)survival analysis was performed on the probability of death.Patients were classified according to death probability thresholds.Five‐and ten‐year survival rates for the two groups were shown using K‐M curves.Results:The major risk factors for cardiac death were age,surgery,year of diagnosis,sequence of surgery and radiotherapy,chemotherapy and a number of tumors,which were used to create the nomogram.The C‐indexes of the nomograms were 0.708 and 0.679 for the development and validation groups,respectively.DCA showed the good net clinical benefit of nomograms in predicting 5‐and 10‐year risk of cardiac death.The model exhibited moderate predictive power for 5‐and 10‐year cardiac mortality(AUC:0.833 and 0.854,respectively),and for the development and validation cohorts(AUC:0.76 and 0.813,respectively).Conclusions:Our nomogram may assist clinicians in making clinical decisions about patients undergoing radiotherapy for esophageal cancer based on early detection of cardiac death risk. | Xinfang Lv Xue Wu Kai Liu Xinke Zhao Chenliang Pan Jing Zhao Juan Chang Huan Guo Xiang Gao Xiaodong Zhi Chunzhen Ren Qilin Chen Hugang Jiang Chunling Wang Ying‐Dong Li | 2023 | Cancer Innovation2023，2，5： | 0 |
| 5 | Asymmetric Three-Component Propargyloxylation for Direct Assembly of Polyfunctionalized Chiral Succinate Derivatives显示文摘An enantioselective three-component propargyloxylation reaction of propargyl alcohols,pyridotriazoles,and imines has been realized by cooperative catalysis with dirhodium complex and chiral phosphoric acid under mild conditions.This is the first example of a catalytic asymmetric three-component propargyloxylation reaction,which provides practical access to chiral polyfunctionalized succinate derivatives with adjacent quaternary and tertiary stereocenters in good to high yields with excellent enantioselectivity.In addition to the alkyne motif,pyridyl,alkoxy,amino,and alkenyl species are all tolerated under the reaction conditions.Notably,the utility of the current method is demonstrated by catalytic cyclization of the product alkyne into a variety of heterocyclic structures without loss of enantiomeric purity. | Xinxin Lv Shuhao Liu Su Zhou Guizhi Dong Dong Xing Xinfang Xu Wenhao Hu | 2021 | CCS Chemistry2021，3，7： | 0 |
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