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Efficacy of cell-assisted autologous lipotransfer with 3D-scanning system / 中华医学美学美容杂志
Chinese Journal of Medical Aesthetics and Cosmetology ; (6): 214-217, 2019.
Article in Chinese | WPRIM | ID: wpr-756555
ABSTRACT
Objective 3D-scanning system is put in use to evaluate the comparative effect be-tween the cell-assisted lipotransfer (CAL) and traditional autologous fat transplantation ,which aims to definitize the survival rate of fat after CAL and provide a reference for the clinic .Methods Fourteen cases were collected among patients aquiring facial autologous fat transplantation from February to May 2016 from the hospital out-patient department ,which were then divided into two groups equally and randomly .7 patients used traditional autologous fat transplantation form the control group and the rest 7 used the CAL .Autologous fat sample of the CAL group was grafted with stromal vascular frac-tion (SVF) .All the patients received follow-up examination and the period lasted at least 6 months . 3D-scanning of facial models were conducted sometime before surgery ,a week after surgery and also 3 months after surgery .Results The average transplantation volume of CAL group was 13 .86 ml while the control group was 12 .14 ml .There were no significantly differnt in the transplantation volumes of the fat (P > 0 .05) .The survival rate of fat in CAL group was 37 .82% while the control group was 27 .54% after calculating the changing volume from the facial models .The survival rate of fat in CAL group was significantly higher than that in the control group (P < 0 .05) .Conclusions 3D-scanning system can provide the data concerning the lipotransfer and calculate the survival rate of the fat .CAL can raise the survival rate of the fat .

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Aesthetics and Cosmetology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Aesthetics and Cosmetology Year: 2019 Type: Article