Position statement on classification of basal cell carcinomas. Part 2: EADO proposal for new operational staging system adapted to basal cell carcinomas

Optical coherence tomography (OCT) is employed in the diagnosis of skin cancer. Particularly, quantitative image features extracted from OCT images might be used as indicators to classify the skin tumors. In the present paper, we investigated intensity-based, texture-based and fractal-based features for automatically classifying the melanomas, basal cell carcinomas and pigment nevi. Generalized estimating equations were used to test for differences between the skin tumors. A modified p value of [Formula: see text][Formula: see text]0.001 was considered statistically significant. Significant increase of mean and median of intensity and significant decrease of mean and median of absolute gradient were observed in basal cell carcinomas and pigment nevi as compared with melanomas. Significant decrease of contrast, entropy and fractal dimension was also observed in basal cell carcinomas and pigment nevi as compared with melanomas. Our results suggest that the selected quantitative image features of OCT images could provide useful information to differentiate basal cell carcinomas and pigment nevi from the melanomas. Further research is warranted to determine how this approach may be used to improve the classification of skin tumors.

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Modified Dermoscopic Algorithm for the Differentiation between Melanocytic and Nonmelanocytic Skin Tumors

Journal of Cutaneous Medicine and Surgery ◽

10.2310/7750.2006.00021 ◽

2006 ◽

Vol 10 (2) ◽

pp. 73-78 ◽

Cited By ~ 3

Author(s):

Andreas Blum ◽

Jennifer Clemens ◽

Giuseppe Argenziano

Keyword(s):

Diagnostic Accuracy ◽

Basal Cell ◽

Skin Lesions ◽

Skin Tumors ◽

Melanocytic Tumors ◽

Melanocytic Tumor ◽

Clinical Diagnostic ◽

Basal Cell Carcinomas ◽

Surface Microscopy

Background: The use of dermoscopy (dermatoscopy, epiluminescence microscopy, surface microscopy) improves the clinical diagnostic accuracy of skin tumors by applying different algorithms or scores. The first step in the dermoscopic evaluation is the differentiation between melanocytic and nonmelanocytic skin tumors. Objective: To evaluate the diagnostic accuracy of the established dermoscopic algorithm (EDA) and the modified dermoscopic algorithm (MDA) for melanocytic versus nonmelanocytic skin tumors. Methods: Two hundred forty-nine patients with melanocytic and nonmelanocytic skin lesions were included. Dermoscopic images of the tumors were taken with 10-fold magnification, followed by surgery and histopathology at the departments of Dermatology at the universities of Tuebingen, in Germany, and Naples, in Italy. Each lesion was classified using the EDA and MDA. In the MDA, accessory nipples and dermatofibromas were considered in particular. Results: With the EDA, 225 of 249 (90.4%) skin tumors were correctly classified in one of the six groups. With the MDA, 237 of 249 (95.2%) were correctly classified. Improvement was achieved in 12 (4.8%) better classified skin tumors. In both algorithms, no melanoma was classified as a nonmalignant melanocytic tumor. All melanomas were classified in the group of melanocytic tumors and one melanoma was classified in the group of basal cell carcinomas. Conclusion: Both dermoscopic algorithms for the differentiation between melanocytic and nonmelanocytic skin tumors were simple and effective when applied step by step. The MDA is an improvement on the EDA with the classification of accessory nipples and dermatofibromas.

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Relation of the eighth edition of the American Joint Committee on Cancer staging system with histological risk classification for primary eyelid basal cell carcinoma

European Journal of Ophthalmology ◽

10.1177/1120672120922455 ◽

2020 ◽

pp. 112067212092245

Author(s):

Gustavo Savino ◽

Giulio Volpe ◽

Gabriela Grimaldi ◽

Remo Battendieri ◽

Giulia Midena ◽

...

Keyword(s):

Basal Cell Carcinoma ◽

Cell Carcinoma ◽

Basal Cell ◽

Staging System ◽

Cancer Staging ◽

Risk Classification ◽

American Joint Committee ◽

Basal Cell Carcinomas ◽

Eighth Edition

Purpose: To investigate the relation between the eighth edition of the American Joint Committee on Cancer staging system and histological risk classification for primary eyelid basal cell carcinoma. Methods: Retrospective, observational case series of patients undergoing excisional biopsy for primary eyelid basal cell carcinoma in two tertiary centres between 2008 and 2018. Patients with <6 months of follow-up were excluded. Outcomes measured included histological subtype, American Joint Committee on Cancer 7 and 8 staging. Results: A total of 222 cases were included over a 10-year period, with a mean (range) follow-up of 25.74 (6–120) months and a median (range) age of 70 (28–93) years. According to American Joint Committee on Cancer 8, the most common T category was T1a (64%), followed by T1b (18%) and T2a (8%). Of the 222 specimens, 183 (82.43%), 17 (7.66%), 19 (8.56%) and 3 (1.35%) were staged as IA, IB, IIA and IIB, respectively. The most common histological subtype was nodular in IA category and infiltrative in categories IB and IIA. Histologically, low-risk basal cell carcinomas were related to lower American Joint Committee on Cancer staging (IA), whereas high-risk basal cell carcinomas were related to American Joint Committee on Cancer stages IB and IIA (p < 0.001). No significant relation was found between T categorisation and risk stratification when adopting American Joint Committee on Cancer 7. Conclusion: American Joint Committee on Cancer 8 staging system is strongly related to primary eyelid basal cell carcinoma histological risk classification.

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