Non-invasive diagnosis of early cutaneous squamous cell carcinoma

Innovations in Actinic Keratosis

This review discusses recent progress in actinic keratosis (AK) management, highlighting therapeutic breakthroughs, pathophysiological discoveries, and program implementation strategies. This article also explores advances in photodynamic therapy, introduces new topical treatments, and details the genomic and transcriptomic pathways from AK to squamous cell carcinoma, including the role of the cutaneous microbiome. Studies aiming to improve diagnosis, adherence, and patient-focused care are also reviewed. Together, these insights encourage a move toward personalized, technology-enhanced approaches in AK treatment, aiming to better patient outcomes and prevent the escalation to more severe skin cancers.

Artificial intelligence for nonmelanoma skin cancer

Nonmelanoma skin cancers (NMSCs) are among the top five most common cancers globally. NMSC is an area with great potential for novel application of diagnostic tools including artificial intelligence (AI). In this scoping review, we aimed to describe the applications of AI in the diagnosis and treatment of NMSC. Twenty-nine publications described AI applications to dermatopathology including lesion classification and margin assessment. Twenty-five publications discussed AI use in clinical image analysis, showing that algorithms are not superior to dermatologists and may rely on unbalanced, nonrepresentative, and nontransparent training data sets. Sixteen publications described the use of AI in cutaneous surgery for NMSC including use in margin assessment during excisions and Mohs surgery, as well as predicting procedural complexity. Eleven publications discussed spectroscopy, confocal microscopy, thermography, and the AI algorithms that analyze and interpret their data. Ten publications pertained to AI applications for the discovery and use of NMSC biomarkers. Eight publications discussed the use of smartphones and AI, specifically how they enable clinicians and patients to have increased access to instant dermatologic assessments but with varying accuracies. Five publications discussed large language models and NMSC, including how they may facilitate or hinder patient education and medical decision-making. Three publications pertaining to the skin of color and AI for NMSC discussed concerns regarding limited diverse data sets for the training of convolutional neural networks. AI demonstrates tremendous potential to improve diagnosis, patient and clinician education, and management of NMSC. Despite excitement regarding AI, data sets are often not transparently reported, may include low-quality images, and may not include diverse skin types, limiting generalizability. AI may serve as a tool to increase access to dermatology services for patients in rural areas and save health care dollars. These benefits can only be achieved, however, with consideration of potential ethical costs.

Successful treatment of Bowen's Disease in the nipple-areola complex with a combination of photodynamic therapy and cryotherapy-A case report

Photodynamic therapy (PDT) is a non-invasive, effective treatment for superficial skin conditions, offering superior cosmetic outcomes compared with traditional therapies. Bowen's disease (BD) of the nipple-areola complex (NAC) is rare and thus, lacks a standardized treatment approach. This report details the case of a 48-year-old woman who was successfully treated for BD of the NAC using PDT. Over a follow-up period of 30 months, there was no evidence of disease recurrence, underscoring the potential of PDT as a viable treatment option for this rare manifestation of BD.