<scp>OCT</scp> image atlas of healthy skin on sun‐exposed areas

O’Leary, S.; Fotouhi, Audrey; Turk, Dilara; Sriranga, Preethi U.; Rajabi‐Estarabadi, Ali; Nouri, Keyvan; Daveluy, S.; Mehregan, Darius; Avanaki, Kamran

doi:10.1111/srt.12468

Cited by 30 publications

(21 citation statements)

References 19 publications

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“…Frequent and prolonged exposure to ultraviolet (UV) rays over many years is the leading cause of skin cancer. [1][2][3][4][5][6][7] The increased incidence of skin cancer over the past decade is strongly related to the growing attraction to outdoor activities and recreational sun exposure. Increased exposure to sunlight is also the leading cause of detrimental effects on the skin, eye, and immune system.…”

Section: Introductionmentioning

confidence: 99%

<p>Sun Awareness and Sun Protection Practices</p>

Sultana

2020

CCID

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Background: The incidence of skin cancer has increased over the past few years, owing to excessive exposure to ultraviolet (UV) radiation. Over the past decade, protection against solar radiation has been highly encouraged in numerous public health education campaigns. The adopted sun protection practices include avoiding exposure to the sun, using protective clothing, and applying sunscreen. The aim of this paper was to analyze the awareness and attitudes towards sun protection practices in some regions of the Arabian Peninsula. Objective: The main objective of this study is to estimate the level of sun protection practices and determine the factors that have a significant impact on the level of adoption of sun protection practices by residents in the Arabian Peninsula. Methods: A 35-question self-reporting online questionnaire to evaluate the sun protection measures adopted by the residents was distributed in the Kingdom of Saudi Arabia and Kingdom of Bahrain. The survey was conducted from January 2018 to May 2019, and a total 830 responses were collected for analysis. The data were analyzed using the statistical software SPSS. The chi-squared test and Spearman's correlation were performed to determine the association of the sun protection level with factors concerning the socio-demographic characteristics, sun sensitivity, health-conscious lifestyle, adopted sun protection measures, and general awareness about the UV index, skin cancer, and vitamin D. Logistic regression classification was applied in developing the empirical model to predict the sun protection level of the residents. Results: Based on the analysis, only 34% of the total 830 respondents use sunscreen and most of the sunscreen users are female. The three most popular sun protection practices are: 1) avoiding exposure to the sun during peak hours, 2) using protective clothing, and 3) using sunglasses. The results indicate that 22% of respondents use a low level of sun protection, 53% use a medium level of protection, while 25% of respondents use a high level of sun protection. Many of the respondents understand that exposure to the sun can cause skin cancer and skin aging, while 54% of the respondents still believe that a suntan can be healthy if sunburn is avoided. Thirty percent of the participants of this study are aware of the UV index, and only 20% of all respondents know the correct meaning of the UV index. The overall predictive accuracy of the constructed logistic regression model is 67%. Based on the results of the logistic regression model, the five most significant factors of the sun protection level are: 1) perception that the sun can cause skin aging, or not, 2) age, 3) awareness of the dangerous effects of sun exposure, 4) income with respect to expenses, and 5) taking the UV index into consideration during exposure to the sun. Conclusion: Most of the respondents are aware about sun protection. However, the sun protection level of the residents is still inadequate. An efficient strategy of increasing the awareness of the effective u...

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Section: Introductionmentioning

confidence: 99%

<p>Sun Awareness and Sun Protection Practices</p>

Sultana

2020

CCID

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“…Optical coherence tomography (OCT) with a high spatial resolution (<10 microns), intermediate penetration depth ($1.5 to 2 mm), and volumetric imaging capability has become a popular diagnostic-assistant modality in dermatology, especially to detect and diagnose nonmelanoma skin tumors (20), for example, basal cell carcinoma and squamous cell carcinoma (21)(22)(23). Contrast in OCT images is generated by the intrinsic scattering characteristics of the tissue that are proportional to the density, size, and shape of the tissue microstructures (24).…”

Section: Introductionmentioning

confidence: 99%

Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma

et al. 2019

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The current gold standard for clinical diagnosis of melanoma is excisional biopsy and histopathologic analysis. Approximately 15-30 benign lesions are biopsied to diagnose each melanoma. In addition, biopsies are invasive and result in pain, anxiety, scarring, and disfigurement of patients, which can add additional burden to the health care system. Among several imaging techniques developed to enhance melanoma diagnosis, optical coherence tomography (OCT), with its highresolution and intermediate penetration depth, can potentially provide required diagnostic information noninvasively. Here, we present an image analysis algorithm, "optical properties extraction (OPE)," which improves the specificity and sensitivity of OCT by identifying unique optical radiomic signatures pertinent to melanoma detection. We evaluated the performance of the algorithm using several tissue-mimicking phantoms and then tested the OPE algorithm on 69 human subjects. Our data show that benign nevi and melanoma can be differentiated with 97% sensitivity and 98% specificity. These findings suggest that the adoption of OPE algorithm in the clinic can lead to improvements in melanoma diagnosis and patient experience. Significance: This study describes a noninvasive, safe, simple-to-implement, and accurate method for the detection and differentiation of malignant melanoma versus benign nevi.

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“…Rete ridges in melanoma were larger and broader. There were large melanoma nests in the superficial dermis which, combined with the irregularity of the rete ridges, made visualization of the dermal-epidermal junction (DEJ) [85,86] more difficult. These results are consistent with the findings in the literature [87,88,89,90,91,92,93,94,95].…”

Section: Resultsmentioning

confidence: 99%

Photoacoustic/Ultrasound/Optical Coherence Tomography Evaluation of Melanoma Lesion and Healthy Skin in a Swine Model

Kratkiewicz

Manwar

Rajabi‐Estarabadi

et al. 2019

Sensors

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The marked increase in the incidence of melanoma coupled with the rapid drop in the survival rate after metastasis has promoted the investigation into improved diagnostic methods for melanoma. High-frequency ultrasound (US), optical coherence tomography (OCT), and photoacoustic imaging (PAI) are three potential modalities that can assist a dermatologist by providing extra information beyond dermoscopic features. In this study, we imaged a swine model with spontaneous melanoma using these modalities and compared the images with images of nearby healthy skin. Histology images were used for validation.

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OCT image atlas of healthy skin on sun‐exposed areas

Abstract: The 2 sets of images demonstrate the variety that exists within OCT imaging of healthy skin, and thus, a comprehensive understanding of the variation in normal skin imaging using OCT is critical to be able to distinguish and diagnose skin cancers when present.

Cited by 30 publications

References 19 publications

<p>Sun Awareness and Sun Protection Practices</p>

<p>Sun Awareness and Sun Protection Practices</p>

Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma

Photoacoustic/Ultrasound/Optical Coherence Tomography Evaluation of Melanoma Lesion and Healthy Skin in a Swine Model

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