Optical technologies for the improvement of skin cancer diagnosis: a review

Autor: Carlos Yáñez, Santiago Royo, Sara Peña-Gutiérrez, Laura Rey-Barroso, Francisco J. Burgos-Fernández, Meritxell Vilaseca
Přispěvatelé: Universitat Politècnica de Catalunya. Doctorat en Enginyeria Òptica, Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria, Universitat Politècnica de Catalunya. GREO - Grup de Recerca en Enginyeria Òptica
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Interferometria
Skin Neoplasms
optical feed-back interferometry
Review
Disease
confocal microscopy
lcsh:Chemical technology
01 natural sciences
Biochemistry
Analytical Chemistry
Multispectral imaging
030207 dermatology & venereal diseases
0302 clinical medicine
multispectral imaging
Càncer -- Diagnòstic
Medicine
Skin cancer
lcsh:TP1-1185
Instrumentation
Melanoma
Optical feed-back interferometry
Microscopy
Confocal
skin cancer
Incidence (epidemiology)
3D topography
Atomic and Molecular Physics
and Optics
machine learning
Tomography
Optical Coherence
medicine.medical_specialty
Cancer--Diagnosis
Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC]
Early detection
Context (language use)
010309 optics
03 medical and health sciences
Skin--Cancer
0103 physical sciences
Machine learning
Polarimetry
Aprenentatge automàtic
melanoma
Humans
Electrical and Electronic Engineering
Intensive care medicine
Survival rate
polarimetry
optical coherence tomography
Modalities
Optical coherence tomography
business.industry
medicine.disease
Confocal microscopy
Interferometry
Pell -- Càncer
Ciències de la visió [Àrees temàtiques de la UPC]
business
Ciències de la salut [Àrees temàtiques de la UPC]
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Sensors, Vol 21, Iss 252, p 252 (2021)
Sensors (Basel, Switzerland)
DOI: 10.3390/s21010252
Popis: The worldwide incidence of skin cancer has risen rapidly in the last decades, becoming one in three cancers nowadays. Currently, a person has a 4% chance of developing melanoma, the most aggressive form of skin cancer, which causes the greatest number of deaths. In the context of increasing incidence and mortality, skin cancer bears a heavy health and economic burden. Nevertheless, the 5-year survival rate for people with skin cancer significantly improves if the disease is detected and treated early. Accordingly, large research efforts have been devoted to achieve early detection and better understanding of the disease, with the aim of reversing the progressive trend of rising incidence and mortality, especially regarding melanoma. This paper reviews a variety of the optical modalities that have been used in the last years in order to improve non-invasive diagnosis of skin cancer, including confocal microscopy, multispectral imaging, threedimensional topography, optical coherence tomography, polarimetry, self-mixing interferometry, and machine learning algorithms. The basics of each of these technologies together with the most relevant achievements obtained are described, as well as some of the obstacles still to be resolved and milestones to be met. This research was supported by the Ministerio de Economía, Industria y Competitividad (MINECO), the Agencia Estatal de Investigación (AEI) and the European Regional Development Fund (FEDER) under the grants DPI2017-89414-R and FIS2017-89850-R. L.R-B. thanks the Spanish Government for the predoctoral FPI grant she received, grant number DPI2017-89414-R. S. P-G. thanks AGAUR for the FI grant she received, grant number 2020FI_B2 00068. C.Y. thanks CONACYT Mexico for the grant he received, grant number 472102
Databáze: OpenAIRE
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