Dataset Information

Long-Term Outcome of Microautologous Fat Transplantation to Correct Temporal Depression.

ABSTRACT:

Objective

Sunken temporal fossa appears oftentimes in Asians and resembles bad fortune that people wish to change. Numerous techniques and materials have been applied clinically for augmenting the sunken temporal fossa with variable results. The microautologous fat transplantation (MAFT) technique proposed by Lin et al in 2006 has demonstrated favorable results in facial rejuvenation. In the present study, the authors applied the MAFT technique with an innovative instrument in sunken temporal fossa and reported its results.

Methods

Microautologous fat transplantation was performed on 208 patients during the 4-year period starting in January 2010. Fat was harvested by liposuction, processed and refined by centrifugation at 1200?g for 3?minutes. Then purified fat was microtransplanted to the temporal fossa with the assistance of an instrument, MAFT-Gun. The patients were followed up regularly and photographs were taken for comparison.

Results

On average, the MAFT procedure took 48 minutes to complete. The average delivered fat was 6.8?±?0.2?mL/6.5?±?0.3?mL for the right/left side. The average follow-up period was 18 months. No complication including skin necrosis, vascular compromise, nodulation, fibrosis, and asymmetry was noted. The patient-rated satisfaction 5-point Likert scale demonstrated that 81.3% of all patients had favorable results (38.5% very satisfied and 42.8% satisfied).

Conclusions

The concept and technique of MAFT along with the micro- and precise controlling instrument enabled surgeons to perform fat grafting accurately and consistently. In comparison with other strategies for volume restoration, the MAFT procedure demonstrated the patients' high satisfaction with the long-term results. Therefore, the potential of MAFT as an alternative strategy in sunken temporal fossa in Asians was emphasized.

SUBMITTER: Lee SS

PROVIDER: S-EPMC5421456 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Publications

Long-Term Outcome of Microautologous Fat Transplantation to Correct Temporal Depression.

Lee Su-Shin SS Huang Yu-Hao YH Lin Tsung-Yin TY Chou Chih-Kang CK Takahashi Hidenobu H Lai Chung-Sheng CS Lin Sin-Daw SD Lin Tsai-Ming TM

The Journal of craniofacial surgery 20170501 3

<h4>Objective</h4>Sunken temporal fossa appears oftentimes in Asians and resembles bad fortune that people wish to change. Numerous techniques and materials have been applied clinically for augmenting the sunken temporal fossa with variable results. The microautologous fat transplantation (MAFT) technique proposed by Lin et al in 2006 has demonstrated favorable results in facial rejuvenation. In the present study, the authors applied the MAFT technique with an innovative instrument in sunken tem ...[more]

PMID: 28468137

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Project description:AIMS/INTRODUCTION:To investigate the long-term efficacy and safety of islet transplantation (ITx) compared with multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII). MATERIALS AND METHODS:Among 619 patients diagnosed as insulin-dependent diabetes mellitus or type 1 diabetes at Kyoto University, Kyoto, Japan, seven patients were selected as the ITx group and 26 age-matched patients with no endogenous insulin secretion were selected as the MDI/CSII group. Hemoglobin A1c, aspartate aminotransferase/alanine aminotransferase (AST/ALT) and creatinine were assessed retrospectively at 1, 2, 5 and 10 years for both groups; serum C-peptide immunoreactivity was assessed for the ITx group. Major clinical events were also assessed. RESULTS:Hemoglobin A1c improvement in ITx was significant at 1 year (8.4% [7.8-9.9%] at baseline to 7.1% [6.3-7.4%] in ITx vs 8.2% [7.4-9.8%] at baseline to 8.1% [7.3-9.5%] in MDI/CSII, P < 0.01 between groups), and was maintained at 2 years (7.4% [6.3-8.2%] vs 8.4% [7.4-9.6%], P = 0.11). The increase of stimulated C-peptide immunoreactivity was significant at 1 year (0.57 ng/mL [0.26-0.99 ng/mL], P < 0.05 from baseline) and 2 years (0.43 ng/mL [0.19-0.67 ng/mL], P < 0.05), although it became insignificant thereafter. There was no significant difference in AST/ALT or creatinine at 10 years, although a transient AST/ALT elevation was observed in ITx. In regard to clinical events, the occurrence of severe hypoglycemia was 14% vs 31% (relative risk 0.46, P = 0.64), that of infectious disease was 43% vs 12% (relative risk 3.71, P = 0.09) and digestive symptoms was 43% vs 7.7% (relative risk 5.57, P = 0.05) in ITx vs MDI/CSII, respectively. No patient died in either group. CONCLUSIONS:The present findings showed that ITx was considered to contribute to the reduction of hypoglycemia and better glycemic control with tolerable, but attention-requiring, risks over a period of 10 years compared with MDI/CSII.

Project description:Background:Electroconvulsive therapy (ECT) is arguably the most effective available treatment for severe depression. Recent studies have used MRI data to predict clinical outcome to ECT and other antidepressant therapies. One challenge facing such studies is selecting from among the many available metrics, which characterize complementary and sometimes non-overlapping aspects of brain function and connectomics. Here, we assessed the ability of aggregated, functional MRI metrics of basal brain activity and connectivity to predict antidepressant response to ECT using machine learning. Methods:A radial support vector machine was trained using arterial spin labeling (ASL) and blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) metrics from n?=?46 (26 female, mean age 42) depressed patients prior to ECT (majority right-unilateral stimulation). Image preprocessing was applied using standard procedures, and metrics included cerebral blood flow in ASL, and regional homogeneity, fractional amplitude of low-frequency modulations, and graph theory metrics (strength, local efficiency, and clustering) in BOLD data. A 5-repeated 5-fold cross-validation procedure with nested feature-selection validated model performance. Linear regressions were applied post hoc to aid interpretation of discriminative features. Results:The range of balanced accuracy in models performing statistically above chance was 58-68%. Here, prediction of non-responders was slightly higher than for responders (maximum performance 74 and 64%, respectively). Several features were consistently selected across cross-validation folds, mostly within frontal and temporal regions. Among these were connectivity strength among: a fronto-parietal network [including left dorsolateral prefrontal cortex (DLPFC)], motor and temporal networks (near ECT electrodes), and/or subgenual anterior cingulate cortex (sgACC). Conclusion:Our data indicate that pattern classification of multimodal fMRI metrics can successfully predict ECT outcome, particularly for individuals who will not respond to treatment. Notably, connectivity with networks highly relevant to ECT and depression were consistently selected as important predictive features. These included the left DLPFC and the sgACC, which are both targets of other neurostimulation therapies for depression, as well as connectivity between motor and right temporal cortices near electrode sites. Future studies that probe additional functional and structural MRI metrics and other patient characteristics may further improve the predictive power of these and similar models.

Dataset Information

Long-Term Outcome of Microautologous Fat Transplantation to Correct Temporal Depression.

Objective

Methods

Results

Conclusions

Publications

Long-Term Outcome of Microautologous Fat Transplantation to Correct Temporal Depression.

Similar Datasets

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