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252


Realistic Sunscreen Durability: A Randomized, Double-blinded, Controlled Clinical Study

Ouyang, Hao; Meyer, Karen; Maitra, Prithwiraj; Daly, Susan; Svoboda, Ryan M; Farberg, Aaron S; Rigel, Darrell S
BACKGROUND:Studies show that sunscreen under real-life conditions is often not reapplied and/or applied insufficiently. This study investigated the durability of 2 current sunscreens with different SPF protection over an 8-hour period under simulated real-life conditions. METHODS:Participants (n=24) were randomized into two study groups utilizing either 2 mg/cm2 (FDA testing concentration) or 1 mg/cm2 (real-life application levels) of sunscreen. Two current SPF 15 and 70 sunscreens were applied to test spots on each participant's back. SPF values were obtained at baseline, 3.5, and 8 hours after initial application, during which subjects completed 30 minutes of moderate exercise followed by 80 minutes of water exposure. RESULTS:Participants in both dose study groups revealed only a 15-40% overall decrease in their SPF protection 8 hours after application. The study group that received half the FDA test concentration of sunscreen achieved approximately half or less the labeled SPF. At 8 hours, the test sites that received SPF 70 maintained an average SPF greater than 64 (2 mg/cm2 application) and 26 (1 mg/cm2 application). Similarly, the SPF 15 product test sites revealed an in vivo protection of 13 (2 mg/cm2) and 7 (1 mg/cm2). CONCLUSION/CONCLUSIONS:This study demonstrates that current sunscreens may be durable on skin even following significant exercise and water exposure, suggesting that reapplication intervals may be longer than currently recommended. In addition, the higher SPF sunscreen maintained a skin cancer-protective level of SPF following extended use. <p><em>J Drugs Dermatol. 2018;17(1):116-117.</em></p>.
PMID: 29320597
ISSN: 1545-9616
CID: 2926182

Trends in US sunscreen formulations: Impact of increasing spray usage

Teplitz, Rebeca W; Glazer, Alex M; Svoboda, Ryan M; Rigel, Darrell S
PMID: 29241780
ISSN: 1097-6787
CID: 2837192

Types of Shade Vary in Protection Just Like Sunscreens-Reply

Ou-Yang, Hao; Farberg, Aaron S; Rigel, Darrell S
PMID: 28854311
ISSN: 2168-6084
CID: 2679792

Clinical Diagnosis of Skin Cancer: Enhancing Inspection and Early Recognition

Glazer, Alex M; Rigel, Darrell S; Winkelmann, Richard R; Farberg, Aaron S
The annual incidence rate for melanoma and nonmelanoma skin cancer continues to rise and morbidity and deaths from skin cancer are increasing. Despite advances in therapeutics, the factors that most impact prognosis remain early recognition and removal of neoplasms before deep invasion or metastatic disease can occur. There are numerous public health and screening initiatives that have been introduced to help recognize disease earlier and to increase patients' awareness of signs or changes of lesions that may represent skin cancers. Early recognition and removal of suspicious lesions remains critical in significantly reducing morbidity and mortality associated with skin cancers.
PMID: 28886797
ISSN: 1558-0520
CID: 2688522

Assessing Genetic Expression Profiles in Melanoma Prognosis

Farberg, Aaron S; Glazer, Alex M; Winkelmann, Richard R; Rigel, Darrell S
A 31-genetic expression profile (31-GEP) test (DecisionDx-Melanoma, Castle Biosciences Inc, Friendswood, TX, USA) was developed as a diagnostic test to assist physicians in the management of cutaneous malignant melanoma. Based on a patient's primary tumor expression levels of a panel of genes (28 discriminating genes and 3 control genes), a lesion is classified as "low risk" (class 1) or "high risk" (class 2) for metastasis. Studies evaluating the clinical utility and impact of the 31-GEP test showed it positively influenced clinical management and patient care, as clinicians incorporated the additional data to modify their clinical recommendations in a risk-appropriate manner.
PMID: 28886811
ISSN: 1558-0520
CID: 2688492

Noninvasive Technologies for the Diagnosis of Cutaneous Melanoma

Winkelmann, Richard R; Farberg, Aaron S; Glazer, Alex M; Rigel, Darrell S
Multispectral analysis devices assess pigmented lesion disorganization at different levels using variable wavelengths of light. Computerized algorithms measure morphologic disorganization of the pigmented skin lesion. Aggregated data of 855 participants investigating the influence of multispectral digital skin lesion analysis (MSDSLA) on practitioner decisions to biopsy pigmented skin lesions revealed the overall sensitivity for detection of melanoma improved from 70% to 88%. Participant specificity increased from 52% to 58% after MSDSLA. Five studies using spectrophotometric intracutaneous analysis scope to evaluate suspicious pigmented skin lesions demonstrated an overall sensitivity and specificity of 85% and 81%, respectively, for the detection of melanoma.
PMID: 28886801
ISSN: 1558-0520
CID: 2688502

The Importance of Early Recognition of Skin Cancer [Editorial]

Farberg, Aaron S; Rigel, Darrell S
PMID: 28886816
ISSN: 1558-0520
CID: 2688472

Integrating Skin Cancer-Related Technologies into Clinical Practice

Winkelmann, Richard R; Farberg, Aaron S; Glazer, Alex M; Cockerell, Clay J; Sober, Arthur J; Siegel, Daniel M; Leachman, Sancy A; High, Whitney A; Markowitz, Orit; Berman, Brian; Pariser, David M; Goldenberg, Gary; Rosen, Theodore; Rigel, Darrell S
Early diagnosis and treatment of melanoma improve survival. New technologies are emerging that may augment the diagnosis, assessment, and management of melanoma but penetrance into everyday practice is low. In the current health care climate, greater emphasis will be placed on the incorporation of technology for clinically suspicious pigmented lesions to facilitate better, more cost-effective management.
PMID: 28886814
ISSN: 1558-0520
CID: 2688482

The Impact of Quantitative Data Provided by a Multi-spectral Digital Skin Lesion Analysis Device on Dermatologists'Decisions to Biopsy Pigmented Lesions

Farberg, Aaron S; Winkelmann, Richard R; Tucker, Natalie; White, Richard; Rigel, Darrell S
BACKGROUND: Early diagnosis of melanoma is critical to survival. New technologies, such as a multi-spectral digital skin lesion analysis (MSDSLA) device [MelaFind, STRATA Skin Sciences, Horsham, Pennsylvania] may be useful to enhance clinician evaluation of concerning pigmented skin lesions. Previous studies evaluated the effect of only the binary output. OBJECTIVE: The objective of this study was to determine how decisions dermatologists make regarding pigmented lesion biopsies are impacted by providing both the underlying classifier score (CS) and associated probability risk provided by multi-spectral digital skin lesion analysis. This outcome was also compared against the improvement reported with the provision of only the binary output. METHODS: Dermatologists attending an educational conference evaluated 50 pigmented lesions (25 melanomas and 25 benign lesions). Participants were asked if they would biopsy the lesion based on clinical images, and were asked this question again after being shown multi-spectral digital skin lesion analysis data that included the probability graphs and classifier score. RESULTS: Data were analyzed from a total of 160 United States board-certified dermatologists. Biopsy sensitivity for melanoma improved from 76 percent following clinical evaluation to 92 percent after quantitative multi-spectral digital skin lesion analysis information was provided (p<0.0001). Specificity improved from 52 percent to 79 percent (p<0.0001). The positive predictive value increased from 61 percent to 81 percent (p<0.01) when the quantitative data were provided. Negative predictive value also increased (68% vs. 91%, p<0.01), and overall biopsy accuracy was greater with multi-spectral digital skin lesion analysis (64% vs. 86%, p<0.001). Interrater reliability improved (intraclass correlation 0.466 before, 0.559 after). CONCLUSION: Incorporating the classifier score and probability data into physician evaluation of pigmented lesions led to both increased sensitivity and specificity, thereby resulting in more accurate biopsy decisions.
PMCID:5749615
PMID: 29344323
ISSN: 1941-2789
CID: 2915452

Increasing Diversity in Dermatology Residencies

Kailas, Ajay; Rigel, Darrell S
PMID: 28467523
ISSN: 2168-6084
CID: 2546572