Preoperative melanoma thickness determination by 20-MHZ sonography and digital videomicroscopy in combination

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Abstract

Objective: To identify accurately thick melanomas preoperatively by means of a combined approach based on sonography and clinical-videomicroscopic evaluation. Design: Ultrasonographic thickness measurement, obtained by means of a 20-MHz B-scanner, and identification of clinical and videomicroscopic variables useful in distinguishing between thick and thin melanomas were performed on a training set of 40 melanomas. An algorithm based on echographic, clinical, and videomicroscopic criteria was constructed to develop a method for preoperative evaluation of melanoma thickness and was validated on a test set of 48 melanomas. Setting: University medical department. Patients: Eighty-eight patients affected by primary cutaneous melanoma. Main Outcome Measures: Sensitivity and specificity of the algorithm, with the use of sonographic, clinical, and videomicroscopic data, in thick melanoma identification. Results: Echographic thickness was calculated for each lesion. On the training set, 2 clinical and 7 videomicroscopic features were identified for distinction between thick and thin melanomas: nonpalpability, central pigment network, central brown globules, and blotches were characteristic of thin melanomas; clinical regression, localized peripheral pigment network, veil, grayish polygonal areas, and blood vessels were characteristic of thick ones. A coefficient was attributed to each variable and a score was obtained for each lesion. The algorithm, developed for preoperative thickness prediction, was validated on the test set, enabling the distinction of thick melanomas with an 86.7% sensitivity and a 100% specificity. Conclusion: The correct classification of all thin melanomas as such renders this approach suitable in clinical practice.

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Pellacani, G., & Seidenari, S. (2003). Preoperative melanoma thickness determination by 20-MHZ sonography and digital videomicroscopy in combination. Archives of Dermatology, 139(3), 293–298. https://doi.org/10.1001/archderm.139.3.293

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