Background: Skin substitutes are routinely used in burn surgery. Increasing numbers of marketed products, regional variation in use, and lack of high-quality research may be contributing to non-standardised care across units. Previous research has also shown that many healthcare professionals in burns care cannot correctly identify the constituents of skin substitute products, with medicolegal implications related to consent.
Methods: A cross-sectional survey of healthcare professionals across all burn units/centres in the UK and Ireland was conducted between 24/04/2022-15/08/2022. The survey was developed and distributed by the Reconstructive Surgery Trials Network using REDCap©. We evaluated current skin substitute use, clinicians' awareness of their constituents, factors influencing product selection, and feasibility of performing future randomised trials in this area.
Results: From all burn units and centres in the UK, 306 healthcare professionals responded. Knowledge of product constituents was significantly greater among senior burn surgeons, but <50% respondents correctly identified the constituents of most products. Skin substitutes were used by most units/centres for acute superficial partial burns (16/21, 76%), deep partial/full-thickness burns (18/21, 86%) and secondary reconstruction (20/21, 95%) but not for donor sites (6/21, 29%). Biobrane was the most used for superficial partial burns and Novosorb-BTM for acute deep partial/full-thickness burns and secondary burn reconstruction. Most respondents reported willingness to consider randomising patients to future trials involving skin substitutes.
Conclusions: Skin substitute use is reportedly widespread, but there is significant intra- and inter-unit variability. Better evidence to guide use is required, ideally with randomised controlled trials comparing products. Knowledge of product constituents, particularly by non-senior burn surgeons, requires improvement.
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http://dx.doi.org/10.1016/j.bjps.2025.01.064 | DOI Listing |
Breast Cancer Res
March 2025
Department of Surgery, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Background: Traditional surgical education is based on observation and assistance in surgical practice. Recently introduced deep learning (DL) techniques enable the recognition of the surgical view and automatic identification of surgical landmarks. However, there was no previous studies have conducted to develop surgical guide for robotic breast surgery.
View Article and Find Full Text PDFACS Omega
March 2025
Center of Excellence in Materials and Biointerfaces, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand.
Artificial three-dimensional (3D) skin models have been used as an alternative tool for toxicity testing, skin disease studying, and skin tissue engineering. The 3D skin model can be fabricated using a porous scaffold that provides 3D cellular construction that supports cell attachment and promotes nutrient and air permeation. In this study, fish gelatin (FG) and hyaluronic acid (HA) were selected for scaffold fabrication because they carry no risk of zoonotic disease transmission and are major components of the extracellular matrix (ECM), which may functionally mimic the ECM of native human skin.
View Article and Find Full Text PDFComput Biol Med
March 2025
Department of Computer Engineering, University of Harran, Sanliurfa, 63000, Turkey. Electronic address:
Cancer is a severe threat to public health. Early diagnosis of disease is critical, but the lack of experts in this field, the personal assessment process, the clinical workload, and the high level of similarity in disease classes make it difficult. In recent years, deep learning-based artificial intelligence models have shown promise, with the potential to increase diagnosis speed and accuracy.
View Article and Find Full Text PDFJ Med Internet Res
February 2025
Cellular Communication Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Background: The rapid evolution of artificial intelligence (AI) presents transformative potential for diagnostic medicine, offering opportunities to enhance diagnostic accuracy, reduce costs, and improve patient outcomes.
Objective: This study aimed to assess the expected future impact of AI on diagnostic medicine by comparing global researchers' expectations using 2 cross-sectional surveys.
Methods: The surveys were conducted in September 2020 and February 2023.
Angiogenesis
March 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Cedars Sinai Hospital, Los Angeles, USA.
Cord blood-derived endothelial colony-forming cells (CB-ECFCs) hold significant promise for regenerative medicine due to their unique vasculogenic and immunomodulatory properties. These cells exhibit a superior proliferative capacity, robust ability to form vascular networks, and lower immunogenicity compared to adult and embryonic stem cell-derived counterparts. The immune-privileged characteristics of CB-ECFCs, including reduced expression of pro-inflammatory mediators and tolerance-inducing molecules such as HLA-G, further enhance their therapeutic potential.
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