Background and Objectives Facial rejuvenation via mesotherapy using a new polycomponent formulation was employed to improve skin texture. In this study, we evaluated the rejuvenating effects of a new polycomponent formulation through mesotherapy using a microneedle therapy system (MTS). Materials and Methods Twenty patients underwent a series of facial procedures, including three sessions performed at 2-week intervals and two sessions at 4-week intervals. Subsequently, 3 mL of new polycomponent formulation was applied to the entire face and MTS was used. Patient satisfaction scoring was conducted by three plastic surgeons who evaluated the improvement of fine wrinkles, skin tightness, hydration, and sweat pore size. In addition, photographs of the patients were taken at each visit and 2 months after the last treatment session. Results The patients were satisfied with the therapeutic outcomes. The scores of the surgeons for the improvement of fine wrinkles, skin tightness, hydration, and sweat pore size were high. Conclusion Minimally invasive mesotherapy using a new polycomponent formulation can improve the clinical appearance of facial skin. However, a largerscale and well-controlled investigation of the clinical efficacy and safety of this technique is needed to confirm these findings.

Background Late solidified hematoma is a rare complication of breast reconstruction with latissimus dorsi (LD) flap. The majority of hematomas occur in the immediate postoperative period; however, some cases can occur at a distant point in time after surgery and do not have a definitive mechanism of injury or develop symptoms immediately after the triggering event. Moreover, treatment of hematoma has not yet been established. Case presentation Breast reconstruction with LD flap has been performed between January 2014 and June 2018 in more than 275 cases. We report 3 cases of late solidified hematoma at the back-donor site that have developed years after breast reconstruction with LD flap, in which a surgical approach was performed because the solidified hematomas could not be treated with percutaneous aspiration. Conclusions We report successful surgical treatment and histological findings of late-onset solidified hematoma as a rare complication of Breast reconstruction with LD flap.

As the availability of breast reconstruction using implants is becoming widespread and many implant recipients undergo radiation therapy, there is an increasing interest in understanding the potential complications associated with capsule-tissue interactions in response to irradiation. Accordingly, our medical institution designed an animal experiment to investigate the effects of irradiation on capsular contracture. A total of 40 mice (C57BL6) were divided into four groups according to whether or not they received irradiation and the time from implantation to irradiation. After each mouse received a specially-fabricated, 1.5 cm semi-spherical silicone implant inserted into the area below the panniculus carnosus, half of the mice were irradiated using singe administration of a 10 Gy dose of radiation (6 MeV). Subsequently, data from gross inspection, histological analysis and immunohistochemical analysis were obtained at one and three months postoperatively and analyzed. Changes that occurred near the capsule led to the phenomenon of contracture subsequent to encapsulation. Our findings suggest that the inflammation reaction occurring near the implant becomes aggravated by 'radiation toxicity' and creates an environment conducive to capsular contracture. The present study demonstrated the process by which the complication of capsular contracture may occur during the treatment of human breast cancer via radiotherapy. These findings may serve as the basis for research and development of future treatments of capsular contracture.

Although capsular contracture remains one of the major problems following silicone breast implantation, the associated mechanism has yet to be determined. This study thus aimed to investigate capsule formation and capsular contracture using three types of implants with different surface topographies in vivo. Three types of implants (i.e., smooth, macrotexture, and nanotexture) with different surface topographies were inserted in a total of 48 Wistar rats. After 4 and 12 weeks, the samples were analyzed via histological, immunohistochemical, and Western blot examination. To identify implant movement, the degree to which implant position changed was measured. And the surface topography was characterized using scanning electron microscopy. Hematoxylin–eosin staining showed that the nanotexture type implant promoted significant decreases in capsule thickness at 12 weeks (P < 0.05), while Masson trichrome staining showed decreased collagen fiber density with the same implant type. Immunohistochemical and Western blot examination revealed reduced fibrosis markers (myofibroblast, and transforming growth factor beta-1) in the nanotexture surface implant. Meanwhile, implant location evaluation found that the nanotexture and smooth surface implants had significantly increased movement (P < 0.05). The nanotexture surface implant had been found to reduce capsule formation given that it minimizes the effects of factors related to foreign body reaction.

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Background In contrast to fillers made from artificial substances, platelet-rich fibrin matrix (PRFM) filler does not cause hypersensitivity reactions or foreign body reactions. PRFM is also highly accessible in terms of cost. Hence, in this study, the efficacy of PRFM for soft tissue augmentation and volume maintenance was evaluated in an animal experiment. Methods Twenty nude mice were injected with hyaluronic acid filler, fibrin glue, PRFM filler, and normal saline (control). The remaining volume was measured 4 times over the course of 8 weeks using the volumetric taping bowl method and magnetic resonance imaging. Results All nude mice survived and showed no signs of infection, such as erythema or edematous changes, during the study period. Migration of the injected substance was not detected at 2, 4, or 8 weeks after the procedure. The remaining volumes of normal saline at 2, 4, and 8 weeks were 10.50%, 2.00%, and 0.00%; fibrin glue, 20.50%, 9.00%, and 2.50%; hyaluronic acid filler, 82.00%, 35.00%, and 17.33%; and PRFM filler, 70.31%, 26.75%, and 14.37%, respectively. Conclusions PRFM filler had a high soft-tissue filling capacity compared with the control. It also showed a similar effect to hyaluronic acid filler. Thus, PRFM filler could be a good alternative for correcting soft-tissue deficits.

Many previous studies focused on differentiating between benign and malignant soft tissue tumors using radiomics model based on various magnetic resonance imaging (MRI) sequences, but it is still unclear how to set up the input radiomic features from multiple MRI sequences. Here, we evaluated two types of radiomics models generated using different feature incorporation strategies. In order to differentiate between benign and malignant soft tissue tumors (STTs), we compared the diagnostic performance of an ensemble of random forest (R) models with single-sequence MRI inputs to R models with pooled multi-sequence MRI inputs. One-hundred twenty-five STT patients with preoperative MRI were retrospectively included and consisted of training (n = 100) and test (n = 25) sets. MRI included T1-weighted (T1-WI), T2-weighted (T2-WI), contrast-enhanced (CE)-T1-WI, diffusion-weighted images (DWIs, b = 800 sec/mm2) and apparent diffusion coefficient (ADC) maps. After tumor segmentation on each sequence, 100 original radiomic features were extracted from each sequence image and divided into three-feature sets: T features from T1- and T2-WI, CE features from CE-T1-WI, and D features from DWI and ADC maps. Four radiomics models were built using Lasso and R with four combinations of three-feature sets as inputs: T features (R-T), T+CE features (R-C), T+D features (R-D), and T+CE+D features (R-A) (Type-1 model). An ensemble model was built by soft voting of five, single-sequence-based R models (Type-2 model). AUC, sensitivity, specificity, and accuracy of each model was calculated with five-fold cross validation. In Type-1 model, AUC, sensitivity, specificity, and accuracy were 0.752, 71.8%, 61.1%, and 67.2% in R-T; 0.756, 76.1%, 70.4%, and 73.6% in R-C; 0.750, 77.5%, 63.0%, and 71.2% in R-D; and 0.749, 74.6%, 61.1%, and 68.8% R-A models, respectively. AUC, sensitivity, specificity, and accuracy of Type-2 model were 0.774, 76.1%, 68.5%, and 72.8%. In conclusion, an ensemble method is beneficial to incorporate features from multi-sequence MRI and showed diagnostic robustness for differentiating malignant STTs.