Browsing by Author "Navarrete Dechent, Cristian"

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    4P Dermatology: A Shift to a Comprehensive Patient-Centered Model
    (2025) Dréno, Brigitte; Navarrete Dechent, Cristian; Ocampo Candiani, Jorge; Passeron, Thierry; Peris, Ketty
    Advances in dermatology are embracing a patient-centered, proactive approach through the ‘4P model’: Personalized, Predictive, Preventive, and Participatory care. This shift aims to improve treatment efficacy and safety as well as patient's quality of life. This review explores the applications of ‘4P medicine’ in dermatology, highlighting key concepts and examples like innovations in onco-dermatology and the skin microbiome. In onco-dermatology, molecular profiling guides targeted treatments, while genetic insights improve risk prediction and prevention. Genetic profiling, such as the identification of BRAF mutations in melanoma, has enabled targeted therapies like BRAF/MEK inhibitors to improve patient outcomes. Predictive technologies, including machine learning, are enabling early detection and risk assessment for both melanoma and non-melanoma skin cancers. Preventive strategies focus on proactive skin care, with public education campaigns and digital tools to increase sun protection behaviors and early detection. Participatory care engages patients in decision making, leading to better adherence and outcomes. This integrated approach optimizes outcomes and reduces the burden of skin cancer. Microbiome research has also transformed dermatology, enabling personalized treatments that target microbial imbalances in conditions such as atopic dermatitis, psoriasis and acne. Predictive dermatology uses microbiome signatures to forecast disease risk and response to treatment, enabling earlier intervention. Preventive strategies aim to maintain a healthy microbiome and prevent disease exacerbations. Participatory dermatology encourages patients to engage in microbiome-focused skin care to optimize outcomes. However, challenges remain in terms of treatment optimization, economic sustainability, ethical considerations and equitable access to care. Addressing these challenges requires innovative solutions, collaborative research, and strategies to ensure the accessibility and cost-effectiveness of dermatologic care.
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    Creating a dermatologic database for artificial intelligence, a Chilean experience, and advice from ChatGPT
    (John Wiley and Sons Inc, 2024) Hidalgo Acuña, Leonel Esteban; Salinas, María Paz; Sepúlveda, Javiera; Carrasco, Karina; Romero, Pamela; Pedro, Alma; Vidaurre, Soledad; Mery, Domingo; Navarrete Dechent, Cristian
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    Dermatology 3.0: New Technologies Transforming the Management of Skin Conditions
    (2025) Tan, Jerry; Jean‐Aan Koh, Mark; Navarrete Dechent, Cristian
    Integration of digital technologies in dermatology is revolutionising patient care by increasing accessibility, accuracy and personalisation. This review explores the impact of emerging digital technologies in dermatology, including teledermatology, artificial intelligence (AI), mobile applications, wearable devices and 3D imaging and printing. Teledermatology, using real-time videoconferencing and store-and-forward imaging, has expanded since the COVID-19 pandemic, improving access to dermatologic care in underserved areas. AI-powered algorithms are being increasingly used, particularly in skin cancer detection, by helping clinicians make faster and more accurate diagnosis and treatment decisions in diverse clinical settings. AI is also improving clinical workflows, increasing automation and reducing documentation burden. Mobile health applications, including AI-based tools, are transforming patient self-management and monitoring. Wearable devices enable continuous monitoring of skin health and environmental factors, providing real-time insights into conditions like atopic dermatitis and melanoma. In addition, advances in 3D imaging and printing technologies are enabling for more precise grafts and early detection of skin cancer, leading to improved clinical outcomes. Despite these advancements, significant challenges remain, including automation bias, the need for standardised validation protocols and equitable access across diverse populations. Successful integration of these technologies into clinical practice will require addressing these issues and ensuring data security, improved digital literacy and clear guidelines for their use. Future research should focus on assessing the real-world effectiveness of these technologies and ensuring their equitable use in diverse geographies and patient populations.
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    Reduction in the number of early melanomas diagnosed during the COVID‐19 pandemic: a single‐centre cohort study
    (2021) Koch Hein, Erica Cristina; Villanueva, Francisco; Marchetti, Michael A.; Abarzúa Araya, Álvaro Rodrigo; Cárdenas de la Torre, Consuelo Paz; Castro, Juan Camilo; Domínguez Covarrubias, Francisco José; Droppelmann, Katherine; Droppelmann, Nicolás; Galindo A., Héctor; León Ramírez, Augusto; Madrid Arenas, Jorge; Molgó Novell, Montserrat; Mondaca, Sebastián; Montero, Pablo H.; Uribe González, Pablo Francisco; Villaseca, Miguel A.; Vinés Vásquez, Eugenio; Navarrete Dechent, Cristian
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    Topical photodynamic therapy with methylaminolevulinate for the treatment of actinic keratosis and reduction of photodamage in organ transplant recipients: A case-series of 16 patients
    (MEDKNOW PUBLICATIONS & MEDIA PVT LTD, 2012) Hasson, Ariel; Navarrete Dechent, Cristian; Nicklas, Claudia; de la Cruz, Claudia
    Background: Organ transplant recipients (OTR) are at high risk of developing cutaneous neoplasms. Topical photodynamic therapy (PDT) has been used for the treatment of actinic keratosis (AK) in OTR. Aims: The objective was to evaluate the efficacy of PDT with methylaminolevulinate (MAL) in the treatment of facial AK in OTR. As a secondary objective, we wanted to evaluate the usefulness of topical PDT in the reduction of photodamage in OTR. Methods: A prospective, single center, single arm study was made. 16 OTR were included. Topical PDT was applied for 1 or 2 cycles depending on the patient's characteristics. An evaluation of AK was made at visits pre-treatment, at 12 weeks and at 24 weeks. Photodamage was measured with multispectral image technique (SkinCare (R)). Results: A complete response rate of 100% was achieved for AK in all patients; it persisted without change at 12 and 24 weeks of follow-up. 62.5% of patients improved their photodamage as measured by SkinCare (R), but this result was not statistically significant (P = 0.12). All patients had high level of satisfaction at the end of the therapy. Conclusions: MAL-PDT is an effective therapy for the treatment of AK in OTRs. It can reduce photodamage in this group of patients, but these results were not statistically significant.