Objectives: To describe the relevant morphologic features and to create a s
imple diagnostic method for pigmented basal cell carcinoma (BCC) using in v
ivo cutaneous surface microscopy (ie, dermoscopy, dermatoscopy, or oil epil
uminescence microscopy).
Design: Pigmented skin lesions were photographed in vivo using immersion oi
l (surface microscopy). All pigmented skin lesions were excised and reviewe
d for histological diagnosis. Photographs of 142 pigmented BCCs, 142 invasi
ve melanomas, and 142 benign pigmented skin lesions were randomly divided i
nto 2 equally sized training and test sets. Images from the training set we
re scored for 45 surface microscopy features. From this a model was derived
and tested on the independent test set.
Setting: All patients were recruited from the primary case and referral cen
ters of the Sydney Melanoma Unit, Sydney, Australia, and the Skin and Cance
r Unit, Skin and Cancer Associates, Plantation, Fla.
Patients: A random sample (selected from a larger database) of patients who
se lesions were excised.
Main Outcome Measures: Sensitivity and specificity of the model for diagnos
is of pigmented BCCs.
Results: The following model was created. For a pigmented BCC to be diagnos
ed it must not have the negative feature of a pigment network and must have
1 or more of the following 6 positive features: large gray-blue ovoid nest
s, multiple gray-blue globules, maple leaflike areas, spoke wheel areas, ul
ceration, and arborizing "treelike" telangiectasia. On an independent test
set the model had a sensitivity of 97% for the diagnosis of pigmented BCCs
and a specificity of 93% for the invasive melanoma set and 92% for the beni
gn pigmented skin lesion set.
Conclusion: A robust surface microscopy method is described that allows the
diagnosis of pigmented BCCs from invasive melanomas and benign pigmented s
kin lesions.