Article Figures & Data
Figures
- Figure 1.
The Triage Amalgamated Dermoscopic Algorithm (TADA).
Tables
- Table 1.
Number of Study Participants Grouped by Profession, Dermoscopy Training, and Dermoscopy Experience
Characteristic n (%) Profession Dermatologist 64 (53.3) Primary care physician 41 (34.2) Other medical specialties 7 (5.8) Other profession 1 (0.8) Did not answer 7 (5.8) Previous dermoscopy training Yes 63 (52.5) No 52 (43.3) Did not answer 5 (4.2) Previous dermoscopy experience Yes 85 (70.9) No 28 (23.3) Did not answer 7 (5.8) Years of dermoscopy experience 0 to 1 year 52 (43.3) 2 to 5 years 35 (29.2) 6 to 10 years 18 (15.0) >10 years 9 (7.5) Did not answer 6 (5.0) - Table 2.
Sensitivity and Specificity of TADA Algorithm for Malignant Study Lesions (Melanoma, Basal Cell Carcinoma, Squamous Cell Carcinoma) Achieved by Dermatologists Versus Non-Dermatologists, Participants with Previous Dermoscopy Training Versus Those Without, and Participants with Less Than or Equal to One Year of Dermoscopy Experience Versus Those with Greater than One Year of Experience
Variable Coding Participants/ Observations Sensitivity 95% CI P Specificity 95% CI P Lower Upper Lower Upper Profession Dermatologist 64/2788 0.948 0.924 0.972 .374 0.785 0.702 0.844 .008 Non-Dermatologist 49/2132 0.937 0.919 0.955 0.721 0.681 0.755 Previous dermoscopy training Yes 63/2583 0.950 0.909 0.994 .13 0.764 0.669 0.831 .36 No 52/2132 0.933 0.915 0.951 0.741 0.702 0.775 Years of experience in dermoscopy > 1 year 62/2002 0.954 0.931 0.978 .05 0.773 0.683 0.837 .21 ≤ 1 year 52/2404 0.931 0.913 0.950 0.742 0.704 0.775 CI, confidence interval; TADA, Triage Amalgamated Dermoscopic Algorithm.
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