Draft:Nevisense
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Submission declined on 17 September 2024 by DoubleGrazing (talk).
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Comment: The first source isn't independent. Most of the sources provide no, or only passing, mentions of Nevisense. The one exception to this is #5, but it alone isn't enough to satisfy WP:GNG. DoubleGrazing (talk) 08:30, 17 September 2024 (UTC)
Nevisense (manufactured by the Swedish company SciBase) is a medical technology platform designed for the detection and prevention of skin diseases such as skin cancer (melanoma and keratinocyte cancer, and for assessing skin barrier function. The platform combines electrical impedance spectroscopy (EIS) with artificial intelligence (AI) and complements traditional diagnostic methods used by clinicians.[1]
How it works
[edit]The Nevisense system consists of a platform and a handpiece, along with disposable electrodes. During a Nevisense measurement, the skin is moistened, and the handpiece is placed against the lesion to be examined. Electrical signals, imperceptible to the patient, pass through the skin at different frequencies, generating approximately 700 data points, which are then processed using AI. These data can be used for research, assessment, or diagnosis of various skin conditions.[1]
Skin cancer
[edit]Nevisense is used as a complementary tool in clinical examinations for early detection of skin cancer, particularly in atypical lesions. The skin is moistened, and electrical impedance is measured multiple times at different alternating current frequencies (ranging from 1 kHz to 2.5 MHz) using an electrode. The measurement aims to detect changes in the structure, orientation, size, and type of skin cells up to a depth of 2.5 mm below the skin surface. Results are converted into a scoring system from 0 to 10, with scores above 4 indicating suspected cancer.[2]
Skin barrier
[edit]The Nevisense platform performs similar electrical impedance measurements for diagnosing skin cancer as it does for assessing the skin barrier, but with different algorithms specialized for the skin barrier. These algorithms are tailored to various skin conditions and other barrier-related diseases, providing objective information on cellular structure, cell orientation, size, and other skin properties. These characteristics are not accessible through visual assessment methods.[1][3]
Significance for skin cancer diagnostics
[edit]Standard procedures for skin cancer diagnostics currently include dermoscopy, sequential digital dermoscopy, and automated whole-body photography. The need for supportive diagnostic methods has led to the development of new techniques such as confocal laser scanning microscopy, Raman spectroscopy, and electrical impedance spectroscopy (EIS). Nevisense was tested in a study for detecting melanomas in cases where traditional methods failed to provide a definitive diagnosis. The study, which included nearly 2,000 patients, showed a sensitivity of 96.6% (256 out of 265 melanomas), making EIS more reliable than the 7-point checklist or the ABCDE rule.[4] The specificity was 38%, while the negative predictive value, measuring the reliability of a negative result, was 99%. With proper use, the method can reduce unnecessary mole removals.[5]
Opportunities and Limiltations
[edit]The impedance, which underpins Nevisense measurements, is less reliable when used on wounds and fibrosis, and should be avoided in these conditions.[6] Some users have called for more studies before the method is widely adopted in clinical practice.[7] However, recent publications consider EIS to be sufficiently scientifically validated.[8][9]
References
[edit]- ^ a b c Ollmar, Stig; Grant, Simon (June 2016). "Nevisense: improving the accuracy of diagnosing melanoma". Melanoma Management. 3 (2): 93–96. doi:10.2217/mmt-2015-0004. ISSN 2045-0885. PMC 6094649. PMID 30190877.
- ^ Owji, Shayan; Han, Joseph; Glausser, Margaret; Napolitano, Daniel; Ungar, Jonathan (2023-01-01). "Management of Pigmented Lesions in Primary Care: Effects of Electrical Impedance Spectroscopy Use". The Annals of Family Medicine. 21 (Supplement 1). doi:10.1370/afm.21.s1.4189. ISSN 1544-1709.
- ^ Fink, C.; Haenssle, H. A. (2016-10-01). "Strategien zur nichtinvasiven Diagnostik des Melanoms". Hautnah (in German). 15 (4): 110–121. doi:10.1007/s12326-016-0207-3. ISSN 2192-6484.
- ^ "Skin Cancer | ABCDE Assessment for Melanoma | Corewell Health". www.beaumont.org. Retrieved 2024-09-17.
- ^ Malvehy, J.; Hauschild, A.; Curiel-Lewandrowski, C.; Mohr, P.; Hofmann-Wellenhof, R.; Motley, R.; Berking, C.; Grossman, D.; Paoli, J.; Loquai, C.; Olah, J.; Reinhold, U.; Wenger, H.; Dirschka, T.; Davis, S. (November 2014). "Clinical performance of the Nevisense system in cutaneous melanoma detection: an international, multicentre, prospective and blinded clinical trial on efficacy and safety". The British Journal of Dermatology. 171 (5): 1099–1107. doi:10.1111/bjd.13121. ISSN 1365-2133. PMC 4257502. PMID 24841846.
- ^ Zakria, Danny; Brownstone, Nicholas; Fritz, Klaus; Salavastru, Carmen; Rigel, Darrell (2024-05-13). "Utilizing Data from Electrical Impedance Spectroscopy Significantly Improves the Decision to Biopsy Pigmented Skin Lesions Beyond Clinical Evaluation and Dermoscopy". SKIN the Journal of Cutaneous Medicine. 8 (3): 1515–1520. doi:10.25251/skin.8.3.5. ISSN 2574-1624.
- ^ Rotte, Anand; Bhandaru, Madhuri; Zhou, Youwen; McElwee, Kevin J. (March 2015). "Immunotherapy of melanoma: present options and future promises". Cancer Metastasis Reviews. 34 (1): 115–128. doi:10.1007/s10555-014-9542-0. ISSN 1573-7233. PMID 25589384.
- ^ Welzel, Julia; Reinhold, Uwe (1 November 2018). "EIS: Atypien von Hautveränderungen präzise messen". Deutsche Dermatologie – via Fortbildung.
- ^ Kellner, C.; Reinhold, U. (2015-02-01). "Moderne Diagnoseverfahren in der Dermatoonkologie". Der Pathologe (in German). 36 (1): 11–15. doi:10.1007/s00292-014-2062-4. ISSN 1432-1963. PMID 25630484.
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