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Facial Thread Lifting Complications: Underlying Causes.
J Craniofac Surg
December 2024
Division in Anatomy and Developmental Biology, Department of Oral Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of Dentistry, Seodaemun-gu.
Introduction: Thread lifting procedures are becoming increasingly popular for facial rejuvenation. However, various complications can arise during these procedures, many of which are influenced by anatomic factors.
Methods: In this section, the authors explore the potential side effects associated with thread lifting and emphasize the anatomic structures that require careful attention.
Injection Techniques for Filler Procedures With Illustration: Narrative Review.
J Craniofac Surg
January 2025
Department of Oral Biology, Division in Anatomy and Developmental Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of Dentistry.
This narrative review explores the various injection techniques utilized in facial filler procedures, emphasizing their applications, benefits, and potential complications. The increasing demand for total facial contouring and rejuvenation has led to a rise in the use of volumizing fillers and the integration of these procedures with other treatments such as toxins, threads, lasers, radiofrequency, and ultrasound. Achieving satisfactory results necessitates a comprehensive understanding of facial anatomy and the effects of aging on skin tissue.
View Article and Find Full Text PDFSkin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review.
BMC Med Inform Decis Mak
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Department of Digital Systems, University of Piraeus, Piraeus, Greece.
Vitiligo, alopecia areata, atopic, and stasis dermatitis are common skin conditions that pose diagnostic and assessment challenges. Skin image analysis is a promising noninvasive approach for objective and automated detection as well as quantitative assessment of skin diseases. This review provides a systematic literature search regarding the analysis of computer vision techniques applied to these benign skin conditions, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
View Article and Find Full Text PDFChitosan/Alginate-Based Hydrogel Loaded With VE-Cadherin/FGF as Scaffolds for Wound Repair in Different Degrees of Skin Burns.
J Biomed Mater Res B Appl Biomater
January 2025
Key Laboratory of Advanced Technology for Materials of Chinese Education Ministry, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, China.
Burns are complex traumatic injuries that lead to severe physical and psychological problems due to the prolonged healing period and resulting physical scars. Owing to their versatility, hydrogels can be loaded with various functional factors, making them promising wound dressings. However, many hydrogel dressings cannot support cell survival for a long time, thereby delaying the process of tissue repair.
View Article and Find Full Text PDFA hybrid machine learning approach for the personalized prognostication of aggressive skin cancers.
NPJ Digit Med
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Mike Toth Head and Neck Cancer Research Center, Division of Surgical Oncology, Department of Otolaryngology-Head and Neck Surgery, Mass Eye and Ear, Boston, MA, USA.
Accurate prognostication guides optimal clinical management in skin cancer. Merkel cell carcinoma (MCC) is the most aggressive form of skin cancer that often presents in advanced stages and is associated with poor survival rates. There are no personalized prognostic tools in use in MCC.
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