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Social media platforms like Instagram (Meta Platforms, Inc., Menlo Park, California, United States) and Snapchat (Snap Inc., California, United States) significantly influence motivations for aesthetic surgery by promoting idealized and digitally enhanced images. Understanding their impact on body image dissatisfaction and acceptance of cosmetic procedures is crucial. A systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines explored the link between social media, body image dissatisfaction, and cosmetic surgery. The review included 25 studies with 13,731 participants. Specific findings revealed that 70% of young adult women and 60% of young adult men report dissatisfaction with their bodies, leading to increased surgical considerations. The search process utilized databases such as PubMed, ScienceDirect, and Google Scholar, employing keywords like \"cosmetic surgery,\" \"social media,\" and \"body image dissatisfaction\" for articles published between January 2013 and December 2023. Both men and women show increased dissatisfaction with body parts, leading to surgical considerations. Social media's emphasis on visual aesthetics fosters body dissatisfaction and social appearance anxiety, especially through selfies. Cultural norms and celebrity influence further shape beauty perceptions. While social media promotes cosmetic surgery acceptance, ethical concerns about misleading advertisements, unrealistic beauty standards, and patient privacy persist. This underscores the need for strategies to promote healthy body image and informed choices in the digital age.

Traumatic nerve injuries involving the distal part of the upper extremity may significantly affect the function of the hand if left untreated. An alternative to nerve autografts for treating digital nerve injuries are nerve transfers. We present the surgical management of a 2.5 cm nerve defect to the proper digital ulnar nerve of the small finger after circular saw injury to the palm of the hand with multiple neurovascular involvement and the use of a non-critical heterodigital nerve transfer for restoration of the critical functional border of the small finger. At 14 months postoperative the sensory recovery grading scale was S4 for the 4th finger and radial border of the 5th finger (primary repair) and S3+ for the ulnar border of the 5th finger (nerve transfer). Donor site morbidity consisted of anesthesia of the ulnar sided tip of the middle finger. Emergency nerve transfer of the proper ulnar digital nerve of the middle finger is a feasible surgical technique for the restoration of the critical ulnar digital border of the small finger after traumatic injuries but with the disadvantage of an insensate donor site.

Background and Clinical Significance: Necrotizing fasciitis (NF) is a rare skin and soft tissue infection that progresses rapidly to necrosis and can be life-threatening. The incidence varies by geographic region but is generally low, with a mortality rate ranging between 11 and 22%. Early diagnosis and treatment are crucial for survival, particularly in patients with underlying conditions such as immune suppression, diabetes, obesity, trauma, recent surgical procedures, or renal pathology. However, the relationship between pregnancy and NF has not been extensively studied. Case Presentation: The case presented involves a 37-year-old, 20-week pregnant woman, who presented to the emergency department with septic shock and left forearm compartment syndrome. She reported no recent trauma or obvious source of contamination. The patient was immediately admitted and taken to the operating room. During admission, she underwent three surgeries, consisting of staged debridement, fasciectomy, and vacuum therapy and skin grafting. The patient was carefully monitored in the intensive care unit and multiple obstetrical consultations were performed to monitor the fetus. The patient was discharged with a fully integrated graft and with the donor area undergoing epithelialization. Conclusions: This case highlights the importance of early diagnosis and treatment of NF, particularly in high-risk patients, and the need for further research into the relationship between pregnancy and NF.

Taking pictures through glass windows almost always produces undesired reflections that degrade the quality of the photo. The ill-posed nature of the reflection removal problem reached the attention of many researchers for more than decades. The main challenge of this problem is the lack of real training data and the necessity of generating realistic synthetic data. In this paper, we proposed a single image reflection removal method based on context understanding modules and adversarial training to efficiently restore the transmission layer without reflection. We also propose a complex data generation model in order to create a large training set with various type of reflections. Our proposed reflection removal method outperforms state-of-the-art methods in terms of PSNR and SSIM on the SIR benchmark dataset.