1.Autologous granular fat transplantation in facial rejuvenation
Chengsheng LIU ; Lei SHI ; Yuansheng HUANG ; Ziqin MA ; Ping DING ; Xiangcheng ZHAO ; Xianyi ZOU
Chinese Journal of Medical Aesthetics and Cosmetology 2011;17(4):286-289
Objective To investigate methods and experience of autologous granular fat transplantation by correction of aging face. Methods 178 cases of aging face subjects were treated by liposuction. Then autologous granular fat was harvested by liposuction,centrifuged and purified, and injected into marked areas of aging face. The injection process should be controled by multilevel and multiple tennel, in order to supplement the loss of facial soft tissue volume and improve the aging face. Results The follow-up period ranged from 3 months to 3 years. All the subjects had a satisfactory results with no obvious complications such as fat liquefaction, infection and ulceration. The effect of autologous granular fat transplantation was obvious and permanent. Conclusions Autologous granular fat transplantation is a safe and effective surgical technique for facial soft tissue augmentation that can effectively improve aging face and worthy of clinical application.
2.Magnetic resonance differential analysis for different hormone receptor expression status in HER-2-positive breast cancer.
Ziqin ZOU ; Yanfang HUANG ; Zhihui ZHOU ; Yu YANG
Journal of Central South University(Medical Sciences) 2023;48(1):68-75
OBJECTIVES:
Currently, it is difficult to assess the expression status of hormone receptor (HR) in breast malignant tumors with human epidermal growth factor receptor 2 (HER-2)-positive in the early preoperative stage, and it is difficult to predict whether it is non-invasively. This study aims to explore the value of MRI on the different HR expression status (HR+/HR-) in HER-2 positive breast cancer.
METHODS:
Thirty patients with HR+ HER-2-positive breast cancer (HR+ group) and 23 patients with HR-HER-2-positive breast cancer (HR- group) from the First Hospital of Hunan University of Traditional Chinese Medicine between January 7, 2015 and November 26, 2021 were selected as subjects, and all the patients were examined by MRI and all were confirmed by surgery or pathological biopsy puncture. The immunohistochemical staining results were used as the gold standard to analyze the basic clinical conditions, peri-lesion conditions and MRI sign characteristics in the 2 groups.
RESULTS:
There were all significant differences in terms of mass margins, internal reinforcement features, and apparent diffusion coefficient (ADC) values between the HR+ group and the HR- group (all P<0.05). The logistic multivariate regression model showed that: when the lesion presented as a mass-type breast cancer on MRI, the internal enhancement features of the lesion were an independent predictor for differentiation in the 2 types of breast cancer [odds ratio (OR)=5.95, 95% CI: 1.223 to 28.951, P<0.05], and the mass margin (OR=0.386, 95% CI: 0.137 to 1.082, P>0.05) and ADC value (OR=0.234, 95% CI: 0.001 to 105.293, P>0.05) were not the independent predictors in distinguishing the 2 types of breast cancer.
CONCLUSIONS
Multiparametric MRI has good diagnostic value for HR expression status in HER-2-positive breast cancer. Combined logistic regression analysis to construct a predictive model may be helpful to the identical diagnosis.
Humans
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Female
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Breast Neoplasms/surgery*
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Magnetic Resonance Imaging/methods*
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Diffusion Magnetic Resonance Imaging/methods*
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Breast
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Magnetic Resonance Spectroscopy
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Retrospective Studies