Objective To investigate the predicting value of cardiac magnetic resonance feature tracking(CMR-FT)for adverse left ventricular remodeling(ALVR)in patients with acute anterior wall ST-segment elevation myocardial infarction(STEMI).Methods The clinical data and cardiac magnetic resonance(CMR)images of 161 acute anterior wall STEMI patients within 1 week and 6 months after emergency percutaneous coronary intervention(PCI)were retrospectively analyzed.ALVR was defined as an increase of left ventricular end-diastolic volume(LVEDV)over 20％at the second CMR examination compared to the baseline.The CMR parame-ters were analyzed by CVI42 post-processing software.The logistic regression analysis was used to screen the independent predictors of ALVR,and the receiver operating characteristic(ROC)curve was used to evaluate the predictive efficiency of ALVR.Results The incidence of ALVR at 6 months was 21.7％(35/161).The logistic regression analysis showed that the left ventricular global circumferential strain(LVGCS)and right ventricular global longitudinal strain(RVGLS)at baseline were independent predictors for ALVR(P＜0.001).When LVGCS was-13.89％and RVGLS was-15.07％at baseline,the sensitivity of predicting ALVR was 0.714 and 0.743,the specificity was 0.833 and 0.810,and the area under the curve(AUC)was 0.806 and 0.835,respectively.The sensitivity of LVGCS combined with RVGLS in predicting ALVR was 0.802,the specificity was 0.952,and the AUC was 0.888.The DeLong test showed that the AUC of LVGCS com-bined with RVGLS in predicting ALVR was significantly higher than that of individuals,and the difference was statistically significant(P＜0.05).Conclusion The LVGCS and RVGLS at baseline are independent predictors for ALVR in patients with acute anterior wall STEMI,their combination can significantly improve the pre-dictive efficiency of ALVR in these patients.

Objective To investigate the predicting value of cardiac magnetic resonance feature tracking(CMR-FT)for adverse left ventricular remodeling(ALVR)in patients with acute anterior wall ST-segment elevation myocardial infarction(STEMI).Methods The clinical data and cardiac magnetic resonance(CMR)images of 161 acute anterior wall STEMI patients within 1 week and 6 months after emergency percutaneous coronary intervention(PCI)were retrospectively analyzed.ALVR was defined as an increase of left ventricular end-diastolic volume(LVEDV)over 20％at the second CMR examination compared to the baseline.The CMR parame-ters were analyzed by CVI42 post-processing software.The logistic regression analysis was used to screen the independent predictors of ALVR,and the receiver operating characteristic(ROC)curve was used to evaluate the predictive efficiency of ALVR.Results The incidence of ALVR at 6 months was 21.7％(35/161).The logistic regression analysis showed that the left ventricular global circumferential strain(LVGCS)and right ventricular global longitudinal strain(RVGLS)at baseline were independent predictors for ALVR(P＜0.001).When LVGCS was-13.89％and RVGLS was-15.07％at baseline,the sensitivity of predicting ALVR was 0.714 and 0.743,the specificity was 0.833 and 0.810,and the area under the curve(AUC)was 0.806 and 0.835,respectively.The sensitivity of LVGCS combined with RVGLS in predicting ALVR was 0.802,the specificity was 0.952,and the AUC was 0.888.The DeLong test showed that the AUC of LVGCS com-bined with RVGLS in predicting ALVR was significantly higher than that of individuals,and the difference was statistically significant(P＜0.05).Conclusion The LVGCS and RVGLS at baseline are independent predictors for ALVR in patients with acute anterior wall STEMI,their combination can significantly improve the pre-dictive efficiency of ALVR in these patients.

Effects of heat treatment conditions (including temperature and time) on the shape memory recovery and corrosion resistance of NiTi self-expanding vascular stents were studied based on working mechanism and clinical use. The
Alloys ; Corrosion ; Hot Temperature ; Materials Testing ; Stents ; Surface Properties ; Temperature ; Titanium

Objective:To evaluate the performance and the accuracy of surgical robot for mandibular reconstruction based on intelligent surgical planning.Methods:115 CT scanning images of normal mandible (57 males, 48 females, 40.3±9.1 years old, from February 2010 to May 2019) and 115 CT scanning images of mandible with tumor (62 males, 53 females, 55.6±7.2 years old, from March 2008 to August 2019) from Shanghai Ninth People’s Hospital were selected. The surgical robot system including work station, UR robot, optical navigation system, 6 dimensional force senor and surgical instrument. A 3D V-Net for mandible preoperational segmentation from CT scans was proposed and used to segment the mandible of a 54-year-old male patient who received mandible reconstruction with fibular flaps. The machine learning algorithm was used to aid surgical planning for maxillo-mandibular defect by detecting landmarks. The accuracy was defined as the distance between corresponding landmarks on the intact mandible. The robot could locate the target according to surgical planning and perform fibula osteotomy through force-motion control. The CT scanning of limb and head from the patient (male, 54 years old) was used for phantom experiments. 30 osteotomies on 5 3D-priented resin phantom were carried out. The pre- and post-operative images were compared to calculate the accuracy. The descriptive results were in the format of Mean±SD.Results:The average accuracy of V-Net for mandible segmentation was 96.581% and the time cost was less than 30 seconds. The average error of feature points on mandible was (2.24±1.74) mm. The residual length error was (1.02±0.45) mm and angle error was (0.96±0.42) degree in robotic-assisted osteotomy according to 3 cases of phantom experiments. The surgical robot could perform osteotomy safely and steadily within 15 min.Conclusions:Intelligent surgical planning can precisely segment the mandible and determine its landmarks. Robot for mandibular reconstruction can perform fibular osteotomy precisely with the pre-operative planning.

Objective:To evaluate the performance and the accuracy of surgical robot for mandibular reconstruction based on intelligent surgical planning.Methods:115 CT scanning images of normal mandible (57 males, 48 females, 40.3±9.1 years old, from February 2010 to May 2019) and 115 CT scanning images of mandible with tumor (62 males, 53 females, 55.6±7.2 years old, from March 2008 to August 2019) from Shanghai Ninth People’s Hospital were selected. The surgical robot system including work station, UR robot, optical navigation system, 6 dimensional force senor and surgical instrument. A 3D V-Net for mandible preoperational segmentation from CT scans was proposed and used to segment the mandible of a 54-year-old male patient who received mandible reconstruction with fibular flaps. The machine learning algorithm was used to aid surgical planning for maxillo-mandibular defect by detecting landmarks. The accuracy was defined as the distance between corresponding landmarks on the intact mandible. The robot could locate the target according to surgical planning and perform fibula osteotomy through force-motion control. The CT scanning of limb and head from the patient (male, 54 years old) was used for phantom experiments. 30 osteotomies on 5 3D-priented resin phantom were carried out. The pre- and post-operative images were compared to calculate the accuracy. The descriptive results were in the format of Mean±SD.Results:The average accuracy of V-Net for mandible segmentation was 96.581% and the time cost was less than 30 seconds. The average error of feature points on mandible was (2.24±1.74) mm. The residual length error was (1.02±0.45) mm and angle error was (0.96±0.42) degree in robotic-assisted osteotomy according to 3 cases of phantom experiments. The surgical robot could perform osteotomy safely and steadily within 15 min.Conclusions:Intelligent surgical planning can precisely segment the mandible and determine its landmarks. Robot for mandibular reconstruction can perform fibular osteotomy precisely with the pre-operative planning.

Drug-device combination product, which comprises at least a drug and a medical device, has been proved to effectively reduce the risk of complications accompanied with conventional medical devices implantation, and has a great clinical success especially in implantable therapeutics. Herein, we firstly elaborated the definitions and requirements of drug-device combination product in different countries, then summarized the market application and research development of typical drug-device combination products. Technical problems and the trend of future development had also been analyzed.
Drug Delivery Systems/instrumentation* ; Equipment Design ; Prostheses and Implants

ObjectiveTo explore the expression of hemopoietin(EPO) mRNA on cerebral ischemia-reperfusion injury in rats brain tissue and the effect of Tongxinluo on it.Methods The model of rat (MCAO) were perfused with Tongxinluo,the changes of neural stem cell proliferation and differentiation related cell factors of EPO mRNA were detected after ischemia-reperfusion injury 3、5、7、14 d by means of reverse transcriptase polymerase chain reaction(RT-PCR).ResultsEPO mRNA of ischemia-reperfusion models showed expression in different period,the expression enhanced in the third day,reached the highest in the fifth day; the ischemia side EPO mRNA expression enhanced in the third day after give Tongxinluo,in the 5,7 and 14 day,PCR expression gray values were higher than the model group.ConclusionEPO mRNA expression enhanced after cerebral ischemia,this expression can be strengthened by Tongxinluo,and may further induce neural stem cell proliferation and differentiation.