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Hyperspectral Imagi...
Hyperspectral Imaging for Non-invasive Diagnostics of Melanocytic Lesions.
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- Paoli, John, 1975 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology
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Pölönen, Ilkka (author)
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Salmivuori, Mari (author)
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Räsänen, Janne (author)
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- Zaar, Oscar (author)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology
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- Polesie, Sam (author)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology
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Koskenmies, Sari (author)
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Pitkänen, Sari (author)
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Övermark, Meri (author)
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Isoherranen, Kirsi (author)
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Juteau, Susanna (author)
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Ranki, Annamari (author)
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Grönroos, Mari (author)
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- Neittaanmäki, Noora (author)
- Gothenburg 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
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(creator_code:org_t)
- 2022-11-14
- 2022
- English.
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In: Acta dermato-venereologica. - : Medical Journals Sweden AB. - 1651-2057 .- 0001-5555. ; 102
- Related links:
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https://gup.ub.gu.se...
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https://doi.org/10.2...
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Abstract
Subject headings
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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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine (hsv//eng)
Keyword
- Humans
- Hyperspectral Imaging
- Melanoma
- pathology
- Skin Neoplasms
- pathology
- Nevus
- Pigmented
- pathology
- Sensitivity and Specificity
Publication and Content Type
- ref (subject category)
- art (subject category)
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To the university's database
- By the author/editor
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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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show more...
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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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show less...
- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
- Articles in the publication
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Acta dermato-ven ...
- By the university
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University of Gothenburg