Vegan Diet in Dermatology: A Review.

Diet is known to play a role in the development of skin disorders. While a vegan diet is frequently described as a risk factor for skin disease secondary to nutritional deficiency, this risk may be overestimated. This review aims to debunk myths and provide information on skin disorders and inflammatory skin conditions that have associations with specific nutritional deficiencies in the context of a vegan diet. A literature search was performed for each nutrient and inflammatory skin disease using the PubMed/MEDLINE database and public health website pages concerning a vegan diet. The literature has individual cases reporting skin disease due to deficiencies in vitamin B2 and vitamin A in patients following a vegan diet. The recommended daily amounts of nutrients and vitamins can be fulfilled on a vegan diet. Vegan diets also avoid food groups such as dairy and other animal-based products, which holds benefits in inflammatory skin diseases including acne, psoriasis, hidradenitis suppurativa, and atopic dermatitis. Overall, the risk of skin disease secondary to nutritional deficiency in patients following a vegan diet is very low and likely over-emphasized. A well-balanced and conscientiously planned vegan diet can adequately provide the necessary amounts of proteins, vitamins, and minerals to support skin health.

Leadership training in dermatology: a narrative review.

Effective leadership is imperative for dermatologists and clinically has been shown to improve team efficacy, patient outcomes, and staff engagement, as well as reduce physician burnout and medical errors. Dermatologists are expected to exercise leadership in a variety of contexts during their professional careers, but despite the demonstrated benefit of effective leadership on improving clinical outcomes and reducing burnout, there is a lack of formal leadership training in residency programs, especially in the field of dermatology. The purpose of this review is to elucidate the current understanding of effective leadership for dermatologists, with a focus on leadership models and select strategies that dermatologists may implement in their daily practice to become more efficacious leaders. This review also seeks to provide a summary of existing opportunities for leadership in the field of dermatology. A narrative review was performed in 2022 examining leadership models as determined by the top results in PubMed with search term "Leadership Models". These models were then related to the field of dermatology. In addition, existing leadership opportunities, as determined through PubMed and Google searches, were reviewed and summarized. There are several medical and non-medical leadership models that can be applied to the field of dermatology. There are many opportunities to gain leadership experience for dermatologists and dermatologists in training; however, there is still a demonstrated need for more opportunities. Through the application of basic leadership principles, dermatologists will experience improved satisfaction and enhanced outcomes.

Contrast-enhanced optical coherence tomography for melanoma detection: An in vitro study.

Optical coherence tomography (OCT), with a high-spatial resolution (<10 microns), intermediate penetration depth (~1.5 mm) and volumetric imaging capability is a great candidate to be used as a diagnostic-assistant modality in dermatology. At this time, the accuracy of OCT for melanoma detection is lower than anticipated. In this letter, we studied for the first time, the use of a novel contrast agent consist of ultra-small nanoparticles conjugated to a melanoma biomarker to improve the accuracy of OCT for differentiation of melanoma cells from nonmelanoma cells, in vitro. We call this approach SMall nanoparticle Aggregation-enhanced Radiomics of Tumor (SMART)-OCT imaging. This initial proof of concept study is the first step toward the broad utilization of this method for high accuracy all types of tumor detection applications.

Granular Cell Tumor Imaging Using Optical Coherence Tomography.

BACKGROUND: Granular cell tumor (GCT) is a relatively uncommon tumor that may affect the skin. The tumor can develop anywhere on the body, although it is predominately seen in oral cavities and in the head and neck regions. Here, we present the results of optical coherence tomography (OCT) imaging of a large GCT located on the abdomen of a patient. We also present an analytical method to differentiate between healthy tissue and GCT tissues. MATERIALS AND METHODS: A multibeam, Fourier domain, swept source OCT was used for imaging. The OCT had a central wavelength of 1305 ± 15 nm and lateral and axial resolutions of 7.5 and 10 µm, respectively. Qualitative and quantitative analyses of the tumor and healthy skin are reported. RESULTS: Abrupt changes in architectures of the dermal and epidermal layers in the GCT lesion were observed. These architectural changes were not observed in healthy skin. DISCUSSION: To quantitatively differentiate healthy skin from tumor regions, an optical attenuation coefficient analysis based on single-scattering formulation was performed. The methodology introduced here could have the capability to delineate boundaries of a tumor prior to surgical excision.

An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin.

BACKGROUND: Optical coherence tomography (OCT) of skin delivers three-dimensional images of tissue microstructures. Although OCT imaging offers a promising high-resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components. METHOD: Two speckle reduction methods (one based on artificial neural network and one based on spatial compounding), an attenuation compensation algorithm (based on Beer-Lambert law) and a deblurring procedure (using deconvolution), are described. Moreover, optical properties extraction algorithm based on extended Huygens-Fresnel (EHF) principle to obtain some additional information from OCT images are discussed. RESULTS: In this short overview, we summarize some of the image enhancement algorithms for OCT images which address the abovementioned artifacts. The results showed a significant improvement in the visibility of the clinically relevant features in the images. The quality improvement was evaluated using several numerical assessment measures. CONCLUSION: Clinical dermatologists benefit from using these image enhancement algorithms to improve OCT diagnosis and essentially function as a noninvasive optical biopsy.