1.Study on biocompatibility of hydroxyapatite/high density polyethylene (HA/HDPE) nano-composites artificial ossicle.
Guohui WANG ; Shaihong ZHU ; Guolin TAN ; Kechao ZHOU ; Suping HUANG ; Yanzhong ZHAO ; Zhiyou LI ; Boyun HUANG
Journal of Biomedical Engineering 2008;25(3):607-610
This study was aimed to evaluate the biocompatibility of Hydroxyapatite/High density polyethylene (HA/ HDPE) nano-composites artificial ossicle. The percentage of S-period cells were detected by flow cytometry after L929 cells being incubated with extraction of the HA/HDPE nano-composites; the titanium materials for clinical application served as the contrast. In addition, both materials were implanted in animals and the histopathological evaluations were conducted. There were no statistically significant differences between the two groups (P >0.05). The results demonstrated that the HA/HDPE nano-composite artificial ossicle made by our laboratory is of a good biocompatibility and clinical application outlook.
Animals
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Biocompatible Materials
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chemistry
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Bone Substitutes
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chemistry
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Durapatite
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chemistry
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Ear Ossicles
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Female
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Implants, Experimental
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Male
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Materials Testing
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Mice
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Nanoparticles
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chemistry
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Polyethylene
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chemistry
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Swine
2.Study on biocompatibility of MIM 316L stainless steel.
Guohui WANG ; Shaihong ZHU ; Yiming LI ; Yanzhong ZHAO ; Kechao ZHOU ; Boyun HUANG
Journal of Biomedical Engineering 2007;24(2):329-331
This study was aimed to evaluate the biocompatibility of metal powder injection molding (MIM) 316L stainless steel. The percentage of S-period cells was detected by flow cytometry after L929 cells being incubated with extraction of MIM 316L stainless steel, and titanium implant materials for clinical application were used as control. In addition, both materials were implanted in animals and the histopathological evaluations were carried out. The statistical analyses show that there are no significant differences between the two groups (P > 0.05), which demonstrate that MIM 316L stainless steel has good biocompatibility.
Animals
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Biocompatible Materials
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chemistry
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Cell Line
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Fibroblasts
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cytology
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Implants, Experimental
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Materials Testing
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methods
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Mice
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Stainless Steel
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chemistry
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Swine
3.Effects of LASIK on Biomechanical Properties of Human Cornea
Chunsheng LIU ; Kechao ZHAO ; Xiaojun WANG ; Weiyi CHEN ; Rui HE
Journal of Medical Biomechanics 2020;35(3):E304-E310
Objective To study the changes in biomechanical properties of human cornea after laser in situ keratomileusis (LASIK) and predict corneal stiffness after the LASIK surgery. Methods According to the measurement results from corneal visualization scheimpflug technology (Corvis ST), the corneal tangent stiffness coefficient (STSC) and energy absorbed area (Aabsorbed) were calculated. The change patterns of corneal stiffness and viscosity after refractive surgery were analyzed. Results The difference of corneal STSC and Aabsorbed before and after LASIK had a statistical significance (P<0.05). The obtained formula for predicting corneal stiffness after refractive surgery was: Sbefore surgery =1.055bIOPbefore surgery + 0.015CCTbefore surgery,Safter surgery =0.937Sbefore surgery +0.019CCTafter surgery. Conclusions LASIK surgery not only changes corneal thickness, but also reduces corneal stiffness and viscosity. Prediction of corneal stiffness after surgery can provide guidance for the design of clinical surgery and improve the safety of surgery.
4.A comparative study of viscoelasticity between normal cornea and keratoconus.
Kechao ZHAO ; Xiaojun WANG ; Weiyi CHEN ; Rui HE ; Xiaona LI ; Yan GAO
Journal of Biomedical Engineering 2019;36(4):613-618
Study of the mechanical properties of in vivo corneal materials is an important basis for further study of corneal physiological and pathological phenomena by means of finite element method. In this paper, the elastic coefficient ( ) and viscous coefficient ( ) of normal cornea and keratoconus under pulse pressure are calculated by using standard linear solid model with the data provided by corneal visualization scheimpflug technology. The results showed that there was a significant difference of and between normal cornea and keratoconus cornea ( < 0.05). Receiver operating characteristic curve analysis showed that the area under curve (AUC) for , and their combined indicators were 0.776, 0.895 and 0.948, respectively, which indicated that keratoconus could be predicted by and . The results of this study may provide a reference for the early diagnosis of keratoconus and avoid the occurrence of keratoconus after operation, so it has a certain clinical value.
Area Under Curve
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Cornea
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physiology
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Elasticity
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Humans
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Keratoconus
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pathology
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ROC Curve
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Viscosity