Kindler syndrome (KS) is a rare autosomal recessive skin condition. The FERMT1 gene mutates and causes symptoms such as blistering and epidermal atrophy, as well as an increased risk of cancer and poor wound healing. A male in his 20s sought treatment for his hyper-hypopigmentation over the body with poikiloderma of the face with thin wrinkled cigarette paper skin in association with photosensitivity. He gave a history of developing blisters all over the body during his childhood, which formed raw areas and eventually healed forming atrophic scars. The objective is to assess the correlation of clinical findings with dermoscopy in a case of KS. KS is a rare disorder with poikiloderma, photosensitivity, and acral bullae in infancy as predominant features. Dermoscopy proves to be a useful tool in the diagnosis of this rare disorder as it helps in the identification of poikiloderma, adermatoglyphia, and cigarette paper scarring.

Fixed cutaneous sporotrichosis (FCS) is a rare and chronic infection. Its diagnosis requires a high degree of suspicion. The data on its dermoscopy and follow-up is limited in the literature. We herein report one such case with a follow-up till cure along with its dermoscopy to establish certain specific features that may be used to ascertain the response to treatment for this chronic infection and its prognosis. We found only three such cases following an extensive review of the literature, and this case emphasizes the importance of dermoscopy in recent times as the history, swab cultures, and smears may be misleading at times due to the chronic and long-standing nature of the condition.

Pilomatrixoma or pilomatricoma is a benign adnexal neoplasm originating from the hair matrix, the inner sheath of the hair follicle, and the hair cortex. Although it is considered rare in adults, numerous cases have been documented in the literature. We present a case of an elderly male who sought consultation due to a newly appearing nodular lesion on his left forearm. Several benign and malignant entities were included in the original differential diagnosis. High-frequency ultrasonographic features suggested a cystic neoplasm with calcification and mild intralesional vascularity. Ultimately, histopathological examination confirmed the diagnosis of pilomatricoma. In this study, our aim is to review the importance of the available diagnostic tools, such as dermoscopy, and the emerging utility of cutaneous high-frequency ultrasonography. Some rarer pathological variants are also discussed, including perforating, anetodermic, bullous and pigmented pilomatricoma. We hope that exposure to these clinical, dermoscopic, ultrasonographic, and histopathological images will encourage clinicians to consider pilomatricoma in their differential diagnosis when approaching nodular lesions, regardless of location and patient\'s age.

This study presents an innovative application of artificial intelligence (AI) in distinguishing dermoscopy images depicting individuals with benign and malignant skin lesions. Leveraging the collaborative capabilities of Google\'s platform, the developed model exhibits remarkable efficiency in achieving accurate diagnoses. The model underwent training for a mere one hour and 33 minutes, utilizing Google\'s servers to render the process both cost-free and carbon-neutral. Utilizing a dataset representative of both benign and malignant cases, the AI model demonstrated commendable performance metrics. Notably, the model achieved an overall accuracy, precision, recall (sensitivity), specificity, and F1 score of 92%. These metrics underscore the model\'s proficiency in distinguishing between benign and malignant skin lesions. The use of Google\'s Collaboration platform not only expedited the training process but also exemplified a cost-effective and environmentally sustainable approach. While these findings highlight the potential of AI in dermatopathology, it is crucial to recognize the inherent limitations, including dataset representativity and variations in real-world clinical scenarios. This study contributes to the evolving landscape of AI applications in dermatologic diagnostics, showcasing a promising tool for accurate lesion classification. Further research and validation studies are recommended to enhance the model\'s robustness and facilitate its integration into clinical practice.

Melanomas arise de novo or in the context of a precursor lesion. Lesions typically grow radially and then undergo a vertical growth phase proceeding to local invasion and metastasis. This review describes the utility of different imaging modalities in diagnosis and melanocytic lesion monitoring. A literature search was performed in November 2023 utilizing EMBASE, Medline, and PubMed. The PRISMA diagram demonstrates the review process. Reflectance confocal microscopy (RCM) utilizes near-infrared light to help diagnose dermatologic lesions. RCM was found to demonstrate nearly two times the positive predictive value compared to dermoscopy. The introduction of the Berlin Ultrasound (US) Morphology Criteria permitted a 65-80% improvement in diagnostic sensitivity. US with fine-needle aspiration cytology (FNAC) accurately predicts the necessity for sentinel lymph node biopsy and lymphadenectomy, sparing patients with metastasis and prompting biopsy for equivocal lesions. Single-photon emission computed tomography/computed tomography (SPECT/CT) is an adjunctive tool to anatomically and functionally assess lymphatic invasion. SPECT/CT improves the detection of sentinel nodes while decreasing operating time and improving cosmetic outcomes. 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) with small voxel reconstruction demonstrated increased specificity and sensitivity for detecting in-transit metastases of melanomas, specifically in the limbs. Dermoscopy allows providers to cost-effectively recognize common lesion patterns. Multiphoton microscopy assigns a weight-based score based on malignant features. Optical coherence angiography captures images of vessels to help diagnose equivocal lesions. Utilization of imaging techniques may increase diagnostic accuracy, reduce unnecessary procedures, and help guide treatment plans. Additional research is needed to further characterize the utility of these techniques in order to improve the diagnosis and treatment of melanomas.

OBJECTIVE: To date, the degree of skin damage caused by diverse factors, such as aging and persistent sunlight exposure, has been evaluated based on the personal experience and knowledge of dermatologists because there is no standard method for objective evaluation. If a standard method were available, patients could obtain more consistent information about their skin condition, and hence perform more effective treatment of the skin damage. In this paper, we demonstrate how to establish a standard method using dermoscopy images of subjects of various ages. We focus on three body parts, specifically the face, neck, and hands, and extract various skin texture features to quantitatively and objectively represent the skin condition.
METHODS: We construct a model for skin damage evaluation based on various skin texture features. To accomplish this objective, we consider various features from face, neck, and hand dermoscopy images, including texture length, width and depth, cell area, the number of cells in a fixed region, radius ratio of inscribed and circumscribed circles of a wrinkle cell, and average perimeter of a wrinkle cell. In this study, a wrinkle cell represents the smallest skin region enclosed by textures. We then perform a linear regression for texture features based on subject age.
RESULTS: A dermoscopy image can be automatically analyzed by extracting skin texture features. We demonstrate aging trends by performing linear regression on these features. Based on this result, a quantitative and objective evaluation of the skin condition can be provided.
CONCLUSIONS: We proposed several new skin texture features and developed algorithms to accurately extract them. We analyzed these features and demonstrated their age-related change trends by using graphs and charts. We believe that our result can be used as a standard method for evaluating degrees of skin damage. Moreover, we believe that our proposed method can be applied in various areas, such as performance evaluation of certain skin products.