ArticleDiagnostics (Basel, Switzerland)2021
Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Charge-Coupled Frequency Response Multispectral Inversion Network-Based Detection Method of Oil Contamination on Airport Runway.Sensors (Basel, Switzerland) · 2024Article
- A Cross-Sectional Study of the Dermatological Manifestations of Patients with Fabry Disease and the Assessment of Angiokeratomas with Multimodal Imaging.Diagnostics (Basel, Switzerland) · 2023Article
- Multispectral Imaging for Skin Diseases Assessment-State of the Art and Perspectives.Sensors (Basel, Switzerland) · 2023Review
- Melanoma Detection by Non-Specialists: An Untapped Potential for Triage?Diagnostics (Basel, Switzerland) · 2022Article
- Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images.Sensors (Basel, Switzerland) · 2022Article
- Emergency Use and Efficacy of an Asynchronous Teledermatology System as a Novel Tool for Early Diagnosis of Skin Cancer during the First Wave of COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma.Journal of clinical medicine · 2021Article
- Characterizing Malignant Melanoma Clinically Resembling Seborrheic Keratosis Using Deep Knowledge Transfer.Cancers · 2021Article
- Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Melanoma is a melanocytic tumor that is responsible for the most skin cancer-related deaths. By contrast, seborrheic keratosis (SK) is a very common benign lesion with a clinical picture that may resemble melanoma. We used a multispectral imaging device to distinguish these two entities, with the use of autofluorescence imaging with 405 nm and diffuse reflectance imaging with 525 and 660 narrow-band LED illumination. We analyzed intensity descriptors of the acquired images. These included ratios of intensity values of different channels, standard deviation and minimum/maximum values of intensity of the lesions. The pattern of the lesions was also assessed with the use of particle analysis. We found significantly higher intensity values in SKs compared with melanoma, especially with the use of the autofluorescence channel. Moreover, we found a significantly higher number of particles with high fluorescence in SKs. We created a parameter, the SK index, using these values to differentiate melanoma from SK with a sensitivity of 91.9% and specificity of 57.0%. In conclusion, this imaging technique is potentially applicable to distinguish melanoma from SK based on the analysis of various quantitative parameters. For this application, multispectral imaging could be used as a screening tool by general physicians and non-experts in the everyday practice.
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