Existing epidermal transplantation procedures applied in burn surgery or wound treatment, such as mesh grafting or the Meek method, do not lead to a restoration of all the skin layers. Dermal skin layers are indispensable in ensuring the quality and function of the transplanted skin as a frictional surface and a carrier of skin appendages such as hair, sweat glands, and sebaceous glands, as well as nerve receptors for detecting pressure, vibration, and temperature. Because of the restricted skin surface area that can be provided by the donor, full-skin transplants cannot be transplanted over a large area. Cultured skin procedures, based on skin cells cultivated in a laboratory, have not yet reached a stage of development where a complex full epidermal transplantation is possible. In particular, the introduction of skin appendages with a functional cell-to-cell communication has not been observed thus far in cultivated skin. Based on the Reverdin transplantation method, in which concave skin islands with epidermal and dermal parts are transplanted, Davis in 1910 described the transplantation of multiple 2-5 mm sized full-skin islands as a new method for the treatment of skin lesions. Further modifying this 100-year-old procedure, we developed a miniaturization and automation of the Davis transplantation method that started in 2011 and called it "SkinDot". In the following article we describe the effectiveness of the full-skin island transplant procedure in two patients. The transplantation of single 2-3 mm full-skin islands results in a full-skin equivalent without any limits on donor area and with a reduced donor morbidity.
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http://dx.doi.org/10.1016/j.aanat.2019.151454 | DOI Listing |
Surg Innov
January 2025
Division of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, IL, USA.
Background: Transabdominal pre-peritoneal inguinal hernia repair using the da Vinci Single-Port robot (SP-TAPP) is currently performed in few centers. We aimed to define the learning curve for SP-TAPP by analyzing operative times.
Methods: The operative times of 122 SP-TAPP performed between 2019 and 2024 were retrospectively analyzed.
Exp Dermatol
January 2025
Department of Dermatology, Kansai Medical University, Hirakata, Osaka, Japan.
Chronic inflammation in the tumour microenvironment (TME) via Th2-polarisation promotes melanoma progression and metastasis, making it a target for immunotherapy. Interleukin (IL)-4 is considered essential for Th2-polarisation in the TME; however, its source remains unknown. Basophils have been postulated as one of its sources.
View Article and Find Full Text PDFBMC Rheumatol
January 2025
Department of Rheumatology, Overton Brooks VA Medical Center, Shreveport, LA, USA.
Background: Dermatomyositis is a chronic inflammatory condition affecting muscles and skin, often associated with an increased risk of cancer. Specific autoantibodies, including anti-TIF1 (Transcription Intermediary Factor 1), have been linked to this risk. We present a case of dermatomyositis in a male patient positive for anti-TIF1 antibodies, subsequently diagnosed with squamous cell carcinoma of the tonsil, a novel association not previously documented.
View Article and Find Full Text PDFGenes Environ
January 2025
Graduate Division of Nutritional and Environmental Sciences, University of Shizuoka, Yada 52- 1, Suruga-ku, Shizuoka, 422-8526, Japan.
Background: Skin is exposed to various environmental factors throughout life, and some of these factors are known to contribute to skin aging. Long-term solar UV exposure is a well-known cause of skin aging, as is cigarette smoke, which contains a number of chemicals. In this study, combined effect of UVA and cigarette sidestream smoke (CSS) on matrix metalloproteinase-1 (MMP-1) induction was investigated.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, 611002, Tamil Nadu, India.
In response to the pressing need for the detection of Monkeypox caused by the Monkeypox virus (MPXV), this study introduces the Enhanced Spatial-Awareness Capsule Network (ESACN), a Capsule Network architecture designed for the precise multi-class classification of dermatological images. Addressing the shortcomings of traditional Machine Learning and Deep Learning models, our ESACN model utilizes the dynamic routing and spatial hierarchy capabilities of CapsNets to differentiate complex patterns such as those seen in monkeypox, chickenpox, measles, and normal skin presentations. CapsNets' inherent ability to recognize and process crucial spatial relationships within images outperforms conventional CNNs, particularly in tasks that require the distinction of visually similar classes.
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