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Biomedical subjects

Babar Rao

Publications and source records attributed to Babar Rao.

2 recordsLinked to original sources

Melasma: a review.

OBJECTIVE: To better understand melasma, a review of its etiologic factors, classification, pathogenesis, and treatment was undertaken. METHODS: Articles discussing the above aspects of melasma were used to demonstrate what is currently known about the disease and how to treat it. RESULTS: Melasma is associated with many etiologic factors, most importantly, sun exposure. It occurs in three distributions and has four reported patterns of pigmentation. Among the many differences between melasma and normal skin, melasma skin contains increased melanin, melanocytes, and melanosomes, as well as increased synthesis of tyrosinase. Its pathogenesis remains largely unknown. Treatment consists of phenolic and nonphenolic depigmenting agents, chemical peels, lasers, and dermabrasion. CONCLUSION: Melasma is a common skin disorder. Although melasma has been studied, its pathogenesis remains largely unknown and its treatment is still met with difficulty. Randomized controlled trials involving larger numbers of patients and comparing treatments, as well as studying combination therapies, would be beneficial.

Humans↗

Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet.

BACKGROUND: There is a need for better standardization of the dermoscopic terminology in assessing pigmented skin lesions. OBJECTIVE: The virtual Consensus Net Meeting on Dermoscopy was organized to investigate reproducibility and validity of the various features and diagnostic algorithms. METHODS: Dermoscopic images of 108 lesions were evaluated via the Internet by 40 experienced dermoscopists using a 2-step diagnostic procedure. The first-step algorithm distinguished melanocytic versus nonmelanocytic lesions. The second step in the diagnostic procedure used 4 algorithms (pattern analysis, ABCD rule, Menzies method, and 7-point checklist) to distinguish melanoma versus benign melanocytic lesions. kappa Values, log odds ratios, sensitivity, specificity, and positive likelihood ratios were estimated for all diagnostic algorithms and dermoscopic features. RESULTS: Interobserver agreement was fair to good for all diagnostic methods, but it was poor for the majority of dermoscopic criteria. Intraobserver agreement was good to excellent for all algorithms and features considered. Pattern analysis allowed the best diagnostic performance (positive likelihood ratio: 5.1), whereas alternative algorithms revealed comparable sensitivity but less specificity. Interobserver agreement on management decisions made by dermoscopy was fairly good (mean kappa value: 0.53). CONCLUSION: The virtual Consensus Net Meeting on Dermoscopy represents a valid tool for better standardization of the dermoscopic terminology and, moreover, opens up a new territory for diagnosing and managing pigmented skin lesions.

Algorithms↗