Related Experiment Video
Updated: Jan 31, 2026

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
The diagnostic accuracy of dermoscopy for basal cell carcinoma: A systematic review and meta-analysis
Ofer Reiter1, Ilit Mimouni2, Michael Gdalevich3
1Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Dermatology, Rabin Medical Center, Petach Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Background:
Dermoscopy is a noninvasive technique for the diagnosis of skin lesions. Its accuracy for basal cell carcinoma (BCC) has not been systematically studied.
Objective:
We sought to systematically investigate the accuracy of dermoscopy for the diagnosis of BCC compared with examination with the naked eye.
Methods:
A systematic review of studies reporting the accuracy of naked eye examination and dermoscopy for the diagnosis of BCC was conducted. A meta-analysis for sensitivity and specificity was performed using a bivariate mixed-effects logistic regression modeling framework.
Results:
Seventeen studies were identified. The pooled sensitivity and specificity of dermoscopy for the diagnosis of BCC were 91.2% and 95%, respectively. In studies comparing test performance, adding dermoscopy to naked eye examination improved sensitivity from 66.9% to 85% (P = .0001) and specificity from 97.2% to 98.2% (P = .006). The sensitivity and specificity of dermoscopy were higher for pigmented than nonpigmented BCC. Sensitivity increased when dermoscopy was performed by experts and when the diagnosis was based on in-person dermoscopy as opposed to dermoscopic photographs.
Limitations:
Significant heterogeneity among studies with a medium-to-high risk of bias.
Conclusion:
Dermoscopy is a sensitive and specific add-on tool for the diagnosis of BCC. It is especially valuable for pigmented BCC.
Related Concept Videos
Uncertainty in Measurement: Accuracy and Precision
Improving Translational Accuracy
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview
Accuracy and Precision
Random and Systematic Errors

