Green tea, long consumed across Southeast Asia, is highly esteemed for its medicinal properties and is often favored over conventional treatments in Eastern cultures. Its health benefits are largely attributed to its minimal processing, which preserves pharmacologically active compounds, particularly catechins, a key class of polyphenols, with epigallocatechin-gallate (EGCG) being the most abundant and bioactive. These compounds exhibit antioxidant, anti-cancer, antimicrobial, and antiangiogenic properties. Beyond systemic health, EGCG has diverse applications in dermatology, including the treatment of viral warts, psoriasis, lichen sclerosus, acne, vaginal dryness, alopecia, and UV-induced skin damage. Emerging research also highlights its promise in aesthetic medicine for mitigating skin oxidative stress, improving skin brightness and neutralizing free radicals, responsible for wrinkles, hyperpigmentation, and loss of elasticity. The aim of this review is to examine the most recent literature on the wide-ranging clinical applications of Epigallocatechin-gallate (EGCG) and to assess its potential use as a daily foundational supplement to enhance both physical and mental well-being, focusing on the dermatological benefits.

Background and Clinical Significance: Kaposi sarcoma (KS) is a rare angio-proliferative mesenchymal tumor that predominantly affects the skin and mucous membranes but may involve lymph nodes and visceral organs. Clinically, it manifests as red-purple-brown papules, nodules, or plaques, either painless or painful, often with disfiguring potential. The diagnosis is traditionally based on clinical and histopathological evaluation, although non-invasive imaging techniques are increasingly used to support diagnosis and treatment monitoring. We report a case of HHV-8-negative Kaposi sarcoma evaluated with multiple non-invasive imaging modalities to highlight their diagnostic utility. Case Presentation: An 83-year-old man presented with multiple painful, violaceous papulo-nodular lesions, some ulcerated, on the lateral aspect of his left foot. Dermoscopy revealed the characteristic rainbow pattern. Dynamic Optical Coherence Tomography (D-OCT) allowed real-time visualization of microvascular abnormalities, identifying large serpentine and branching vessels with clearly delineated capsules. Line-field Optical Coherence Tomography (LC-OCT) showed irregular dermal collagen, vascular lacunae, and the presence of spindle cells and slit-like vessels. Histological analysis confirmed the diagnosis of Kaposi sarcoma, revealing a proliferation of spindle-shaped endothelial cells forming angulated vascular spaces, with red blood cell extravasation and a mixed inflammatory infiltrate. Conclusions: Non-invasive imaging tools, including dermoscopy, D-OCT, and LC-OCT, have emerged as valuable adjuncts in the diagnosis and monitoring of KS. These techniques enable in vivo assessment of vascular architecture and tissue morphology, enhancing clinical decision-making while reducing the need for immediate biopsy. Dermoscopy reveals polychromatic vascular features, such as the rainbow pattern, while D-OCT and LC-OCT provide high-resolution insights into vascular proliferation, tissue heterogeneity, and cellular morphology. Dermoscopy, dynamic OCT, and LC-OCT represent promising non-invasive diagnostic tools for the assessment of Kaposi sarcoma. These technologies provide detailed morphological and vascular information, enabling earlier diagnosis and more personalized management. While histopathology remains the gold standard, non-invasive imaging offers a valuable complementary approach for diagnosis and follow-up, particularly in complex or atypical presentations. Ongoing research and technological refinement are essential to improve accessibility and clinical applicability.

Background: Non‐invasive imaging techniques can support assessment of lesions suspicious for basal cell carcinoma (BCC) when dermoscopy is inconclusive. We compared reflectance confocal microscopy (RCM), line‐field confocal optical coherence tomography (LC‐OCT), and the device‐integrated LC‐OCT artificial intelligence (AI) output. Methods: This retrospective comparative observational study included 100 facial and scalp lesions evaluated by RCM and LC‐OCT before excisional biopsy. Two expert and two non‐expert dermatologists independently interpreted anonymized images while blinded to histopathology and recorded confidence on a four‐point scale. Diagnostic performance, inter‐reader agreement, reader‐specific receiver operating characteristic analyses, and an exploratory post hoc dermoscopically equivocal subgroup were assessed. The categorical AI output was analyzed at a single operating point. Results: Histopathology identified 69 basal cell carcinomas (BCCs) and 31 non‐BCC lesions. Expert mean sensitivity, specificity, and accuracy were 95.7%, 85.5%, and 92.5% for RCM versus 86.2%, 67.7%, and 80.5% for LC‐OCT. The AI output yielded 87.0% sensitivity, 83.9% specificity, and 86.0% accuracy. In the equivocal subgroup ( n = 51; 31 BCCs), RCM sensitivity was 96.8% across readers, with specificity ranging from 65.0% to 85.0%. RCM AUCs exceeded LC‐OCT AUCs for all readers, but no paired comparison remained significant after Holm adjustment. Inter‐reader agreement was higher for RCM than LC‐OCT (Fleiss' κ = 0.809 vs. 0.563). Conclusions: Both modalities provided diagnostic information as second‐level adjuncts. RCM showed higher observed performance and agreement, particularly in exploratory equivocal lesions, whereas the categorical LC‐OCT AI output showed comparatively high specificity. Prospective validation is required. image