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Hyperspectral Imagi...
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Paoli, John,1975Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology
(author)
Hyperspectral Imaging for Non-invasive Diagnostics of Melanocytic Lesions.
- Article/chapterEnglish2022
Publisher, publication year, extent ...
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2022-11-14
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Medical Journals Sweden AB,2022
Numbers
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LIBRIS-ID:oai:gup.ub.gu.se/328704
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https://gup.ub.gu.se/publication/328704URI
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https://doi.org/10.2340/actadv.v102.2045DOI
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Malignant melanoma poses a clinical diagnostic problem, 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 technology, hyperspectral imaging, for melanoma detection. Lesions were imaged prior to excision and histopathological analysis. A deep neural network algorithm was trained twice to distinguish between histopathologically verified malignant and benign melanocytic lesions and to classify the separate subgroups. Furthermore, 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 validation 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 distinguishing between naevi and melanoma. This novel method still needs further validation.
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Pölönen, Ilkka
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Salmivuori, Mari
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Räsänen, Janne
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Zaar, OscarGothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology(Swepub:gu)xzaaos
(author)
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Polesie, SamGothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology(Swepub:gu)xpolsa
(author)
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Koskenmies, Sari
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Pitkänen, Sari
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Övermark, Meri
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Isoherranen, Kirsi
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Juteau, Susanna
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Ranki, Annamari
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Grönroos, Mari
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Neittaanmäki, NooraGothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Institute of Clinical Sciences, Department of Dermatology and Venereology,Department of Laboratory Medicine(Swepub:gu)xneino
(author)
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Göteborgs universitetInstitutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi
(creator_code:org_t)
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In:Acta dermato-venereologica: Medical Journals Sweden AB1021651-20570001-5555
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Paoli, John, 197 ...
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Pölönen, Ilkka
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Salmivuori, Mari
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Räsänen, Janne
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Zaar, Oscar
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Polesie, Sam
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Koskenmies, Sari
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Pitkänen, Sari
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Övermark, Meri
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Isoherranen, Kir ...
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Juteau, Susanna
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Ranki, Annamari
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Grönroos, Mari
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Neittaanmäki, No ...
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Acta dermato-ven ...
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University of Gothenburg