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Table 1 Demographic characteristics of different sebaceous lesions

From: Machine learning for classification of cutaneous sebaceous neoplasms: implementing decision tree model using cytological and architectural features

Lesion type

Male no. (%)

Female no. (%)

Median age (IQR)

Sebaceous hyperplasia

32 (61.5%)

20 (38.5%)

57.0 (24)

Sebaceoma

12 (80.0%)

3 (20.0%)

64.5 (21)

Sebaceous adenoma

11 (84.6%)

2 (15.4%)

69.0 (24)

Extraocular sebaceous carcinoma

16 (80.0%)

4 (20.0%)

67.5 (33)

Periocular sebaceous carcinoma

10 (43.5%)

13 (56.5%)

72.0 (23)