Hyperspectral Imaging for Non-invasive Diagnostics of Melanocytic Lesions

John Paoli, Ilkka Pölönen, Mari Salmivuori, Janne Räsänen, Oscar Zaar, Sam Polesie, Sari Koskenmies, Sari Pitkänen, Meri Övermark, Kirsi Isoherranen, Susanna Juteau, Annamari Ranki, Mari Grönroos, Noora Neittaanmäki

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

Malignant melanoma poses a clinical diagnostic pro-blem, since a large number of benign lesions are excised to find a single melanoma. This study assessed the accuracy of a novel non-invasive diagnostic tech-nology, hyperspectral imaging, for melanoma detection. Lesions were imaged prior to excision and histo-pathological analysis. A deep neural network algorithm was trained twice to distinguish between histopatho-logically verified malignant and benign melanocytic lesions and to classify the separate subgroups. Further-more, 2 different approaches were used: a majority vote classification and a pixel-wise classification. The study included 325 lesions from 285 patients. Of these, 74 were invasive melanoma, 88 melanoma in situ, 115 dysplastic naevi, and 48 non-dysplastic naevi. The study included a training set of 358,800 pixels and a vali-dation set of 7,313 pixels, which was then tested with a training set of 24,375 pixels. The majority vote classification achieved high overall sensitivity of 95% and a specificity of 92% (95% confidence interval (95% CI) 0.024–0.029) in differentiating malignant from benign lesions. In the pixel-wise classification, the overall sensitivity and specificity were both 82% (95% CI 0.005–0.005). When divided into 4 subgroups, the diagnostic accuracy was lower. Hyperspectral imaging provides high sensitivity and specificity in distinguis-hing between naevi and melanoma. This novel method still needs further validation.

Originalspråkengelska
Artikelnummeradv00815
TidskriftActa Dermato-Venereologica
Volym102
Antal sidor7
ISSN0001-5555
DOI
StatusPublicerad - 2022
MoE-publikationstypA1 Tidskriftsartikel-refererad

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© 2022, Medical Journals/Acta D-V. All rights reserved.

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  • 3121 Allmänmedicin, inre medicin och annan klinisk medicin

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