Utility of Clinical and Dermoscopic Study of Cutaneous Nevi

Abstract Background: Dermoscopy is a noninvasive diagnostic tool that enhances the visualization of subsurface skin structures, enabling the differentiation of various types of nevi. Aims and Objectives: To assess the clinical features and dermoscopic patterns of cutaneous nevi. Materials and Methods: This cross-sectional study involved 100 patients presenting with nevi at a tertiary care dermatology outpatient clinic over 21 months. Demographic and clinical data were collected, and lesions were examined using a polarized, noncontact dermoscope (ILLUCO IDS-1100) connected to a smartphone. Dermoscopic images were analyzed for pattern types. Results: Participants ranged in age from 1 to 70 years (mean age 32.8 ± 14.3), with females making up 59% of the sample. The most common site of lesions was the cheek, followed by the back and chin. Compound melanocytic nevi were the most prevalent (57%), followed by junctional melanocytic nevi (14%), congenital melanocytic nevi (6%), and intradermal melanocytic nevi (6%). Less common types included Becker’s nevus, linear verrucous epidermal nevus, nevus depigmentosus, and port-wine stains. Dermoscopic analysis showed homogeneous patterns in 61% of cases, globular in 22%, reticular in 5%, cobblestone in 3%, structureless in 3%, papillary in 2%, blotchy in 2%, and dot patterns in 1%. Follicular openings were observed in 65% of lesions. Dermoscopic patterns varied according to the type of nevus. Conclusion: Dermoscopy facilitates rapid pattern recognition and enhances the accuracy of nevi classification. Additional large-scale, multicenter studies with histopathological correlation are recommended to confirm these findings.

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Journal
MGM Journal of Medical Sciences
Published
2025-10-01
DOI
https://doi.org/10.4103/mgmj.mgmj_177_25
Primary Topic
Cutaneous Melanoma Detection and Management
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article
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article

Utility of Clinical and Dermoscopic Study of Cutaneous Nevi

Shylaja Someshwar, Sukhada S. Patankar, Surina Nair
MGM Journal of Medical Sciences
Cutaneous Melanoma Detection and Management
article

Utility of Clinical and Dermoscopic Study of Cutaneous Nevi

Shylaja Someshwar, Sukhada S. Patankar, Surina Nair
article en

Abstract

Abstract Background: Dermoscopy is a noninvasive diagnostic tool that enhances the visualization of subsurface skin structures, enabling the differentiation of various types of nevi. Aims and Objectives: To assess the clinical features and dermoscopic patterns of cutaneous nevi. Materials and Methods: This cross-sectional study involved 100 patients presenting with nevi at a tertiary care dermatology outpatient clinic over 21 months. Demographic and clinical data were collected, and lesions were examined using a polarized, noncontact dermoscope (ILLUCO IDS-1100) connected to a smartphone. Dermoscopic images were analyzed for pattern types. Results: Participants ranged in age from 1 to 70 years (mean age 32.8 ± 14.3), with females making up 59% of the sample. The most common site of lesions was the cheek, followed by the back and chin. Compound melanocytic nevi were the most prevalent (57%), followed by junctional melanocytic nevi (14%), congenital melanocytic nevi (6%), and intradermal melanocytic nevi (6%). Less common types included Becker’s nevus, linear verrucous epidermal nevus, nevus depigmentosus, and port-wine stains. Dermoscopic analysis showed homogeneous patterns in 61% of cases, globular in 22%, reticular in 5%, cobblestone in 3%, structureless in 3%, papillary in 2%, blotchy in 2%, and dot patterns in 1%. Follicular openings were observed in 65% of lesions. Dermoscopic patterns varied according to the type of nevus. Conclusion: Dermoscopy facilitates rapid pattern recognition and enhances the accuracy of nevi classification. Additional large-scale, multicenter studies with histopathological correlation are recommended to confirm these findings.

MGM Journal of Medical SciencesVol. 12(4)
Mahatma Gandhi Mission's Dental College and Hospital (IN)
Openalex Percentile: Top 30%
Cutaneous Melanoma Detection and Management
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