Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review
Abstract
:1. Introduction
2. Confocal Microscopy
2.1. Reflectance CLSM
2.2. Fluorescence CLSM
2.3. Contributions of CLSM Imaging
3. Multispectral Imaging
3.1. Area Scanning MS Systems
3.2. Snapshot MS Systems
3.3. Contributions of MS Imaging
4. Three-Dimensional Topography
4.1. Replica-Based Methods for Skin 3D Imaging
4.1.1. Microtopography
4.1.2. Optical Profilometry
4.2. 3D Systems for In Vivo Skin Analysis
4.3. Contributions of 3D Topography
5. Optical Coherence Tomography
5.1. FD-OCT
5.2. Contributions of OCT
6. Self-Mixing Interferometry
6.1. SMI Imaging
6.2. SMI Flow Sensing
6.3. SMI Flow Cytometry
6.4. Possible Contributions of SMI
7. Polarimetric Imaging
7.1. Stokes Imaging
7.2. MMI
7.3. Contributions of Polarimetric Imaging
8. Learning Algorithms for Skin Cancer Diagnosis
8.1. Machine Learning
8.2. Deep Learning
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Study | Year | Skin Cancer Type | No. of Lesions | Modality | Illumination Source | No. of Images | Axial Res. | Lateral Res. | SE/SP |
---|---|---|---|---|---|---|---|---|---|
Guitera et al. | 2009 | Melanoma, Nevus | >300 | RCM, commercial CLSM | Laser diode, 830 nm | >100 | 3–5 μm | 1 μm | Mel. Light- colored: 85%/84% Pigmented: 92%/65% |
Guitera et al. | 2012 | Melanoma, BCC, Nevus, Pigmented facial macules, Other tumors | >700 | RCM, commercial CLSM | Laser diode, 830 nm | >100 | 3–5 μm | 1 μm | 100% 88.5% |
Segura et al. | 2009 | Melanoma, BCC, SCC, Keratosis, Nevus | >150 | RCM, commercial CLSM | Laser diode, 830 nm | >100 | 5 μm | 2 μm | 86.1% 95.3% |
Ulrich et al. | 2008 | AK, perilesional healthy skin | >20 | RCM, commercial CLSM | Laser diode, 830 nm | 4–6 images | 3–5 μm | 1 μm | - |
Horn et al. | 2008 | AK, perilesional healthy skin | 30 | RCM, commercial CLSM | Laser diode, 830 nm | >50 | 3–5 μm | 1 μm | 93.34% 88.34% |
Gareau et al. | 2008 | BCC | - | FCM, mosaicing | Argon-ion laser, 488 nm | 36 × 36 images for a mosaic | 1.1 μm | 0.25 μm | - |
Gareau et al. | 2009 | BCC, healthy skin | >40 | FCM, mosaicing | Argon-ion laser, 488 nm | 45 confocal mosaics | 1.1 μm | 0.25 μm | 96.6% 89.2% |
Abeytunge et al. | 2011 | BCC | 1 | FCM, strip mosaicing | Argon-ion laser, 488 nm | 31 strips for a mosaic | 1.61 μm | 0.33 μm | - |
Study | Year | Skin Cancer Type | No. of Lesions | Modality | Spectral Range | No. of Images | Spectral Res. | Lateral Res. | SE/SP |
---|---|---|---|---|---|---|---|---|---|
Tomatis et al. | 2003 | Melanoma, BCC, Keratosis, Nevus, Other tumors | >500 | MS, Pasive Staring imaging | 400–1040 nm | 17 images | 40 nm | 300 μm pixel size | 78% 76% |
Bekina et al. | 2012 | Papilloma, Melanoma | <10 | MS, Active Staring imaging | 450, 545, 660 and 940 nm | 4 images | - | - | - |
Jakovels et al. | 2013 | Bening pigmented lesions, Melanoma | >100 | MS, Pasive Staring imaging | 450–950 nm | 51 images | 10 nm | 75 μm pixel size | - |
Kim et al. | 2016 | Nevus, Acne lesion | 2 | MS, Smartphone-based, Active Staring imaging | 440–690 nm | 9 images | - | 18 μm pixel size | - |
Stamnes et al. | 2017 | Melanoma, BCC, SCC, Keratosis, Nevus | >500 | MS, Active Staring imaging | 365–1000 nm | 10 images at different illum./acq. angles | - | 25 μm pixel size | 99% 93% |
Delpueyo et al. | 2017 | Melanoma, BCC, Nevus | >400 | MS, Active Staring imaging | 414–995 nm | 8 images at different pol. angles | - | 18 μm pixel size | Melanoma: 87.2% 54.5% All: 91.3% 54.5% |
Vasaturo et al. | 2017 | Melanoma | - | MS, Ex-vivo microscopy | 420–720 nm | 15 images | 20 nm | 1392 x 1040 pixels | - |
Rey- Barroso et al. | 2018 | Melanoma, Nevus | >50 | VIS and exNIR MS, Active Staring imaging | 414–1613 nm | 14 images | - | CCD: 18 μm pixel size InGaAs: 70 μm pixel size | 78.6% 84.6% |
Godoy et al. | 2015 | Melanoma, BCC, SCC, Benign pigmented lesions | >100 | MS, LWIR Staring imaging | 750–2500 nm | 60 frames/s during 2 min | - | 300 μm pixel size | 95% 83% |
Fioravanti et al. | 2016 | Primary melanoma, Metastasis, healthy skin | 15 | MS, Ex-vivo IR spectrometry | 3330–3570 nm | None – Integrated spectral information | 12 nm | - | - |
Study | Year | Skin Cancer Type | No. of Lesions | Modality | Illumination Source | No. of Images | Axial Res. | Lateral Res. | SE/SP |
---|---|---|---|---|---|---|---|---|---|
Gorpas et al. | 2006 | Animal model tumor | 1 | Fringe projection | Blue laser diode 440 nm | - | 4.4 μm | - | |
Moore et al. | 2006 | Multiple cancers | - | Fringe projection | He-Ne laser 633 nm | - | - | - | - |
Ares et al. | 2014 | - | - | Fringe projection | He-Ne laser 633 nm | - | - | - | - |
Rey-Barroso et al. | 2014 | Melanoma, BCC, Nevus | >170 | Fringe projection | He-Ne laser 633 nm | - | - | - | 80.0% 76.7% |
Korn et al. | 2017 | None – body parts exposed to sun | 5 body sites in 20 patients | 3D optical profilometry | Hallogen lamp | 8 images | 0.005 μm | 1.1 μm | - |
Study | Year | Skin Cancer Type | No. of Lesions | Modality | Laser Source | No. of Images | Axial Res. | Lateral Res. | SE/SP |
---|---|---|---|---|---|---|---|---|---|
Korde et al. | 2008 | AK, body parts exposed to sun | 4 body sites in 112 patients | FD-OCT | 1310 nm | 1344 OCT images | 12 μm | 12 μm | 86% 83% |
Themstrup et al. | 2016 | None–healthy skin subject to different conditions | - | OCTA, commercial OCT | 1305 nm | - | 5 μm | 7.5 μm | - |
Weissman et al. | 2004 | None–healthy skin to compare with BCC | - | FD-OCT, commercial OCT | LEDs, 1300 nm | 47 OCT images | 5 μm | 3 μm | - |
Study | Year | Skin Cancer Type | No. of Lesions | Modality | Illuminationsource | No. of Images | Polarization Configurations | Lateral Res. | SE/SP |
---|---|---|---|---|---|---|---|---|---|
Rey- Barroso et al. | 2019 | MM, Nevus | 40 | Polarized MS imaging | LEDs, 414–995 nm | 8 images | 0°, 45° and 90° | 18 μm pixel size | - |
Ghassemi et al. | 2012 | MM, Nevus, healthy skin | >20 | Stokes imaging | Tricolor LED-based, Hemisferical | 16 images at illum. angles 0°, 24°, and 49° | 0°, 45°, 90° and 135° | - | - |
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Rey-Barroso, L.; Peña-Gutiérrez, S.; Yáñez, C.; Burgos-Fernández, F.J.; Vilaseca, M.; Royo, S. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. Sensors 2021, 21, 252. https://doi.org/10.3390/s21010252
Rey-Barroso L, Peña-Gutiérrez S, Yáñez C, Burgos-Fernández FJ, Vilaseca M, Royo S. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. Sensors. 2021; 21(1):252. https://doi.org/10.3390/s21010252
Chicago/Turabian StyleRey-Barroso, Laura, Sara Peña-Gutiérrez, Carlos Yáñez, Francisco J. Burgos-Fernández, Meritxell Vilaseca, and Santiago Royo. 2021. "Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review" Sensors 21, no. 1: 252. https://doi.org/10.3390/s21010252
APA StyleRey-Barroso, L., Peña-Gutiérrez, S., Yáñez, C., Burgos-Fernández, F. J., Vilaseca, M., & Royo, S. (2021). Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. Sensors, 21(1), 252. https://doi.org/10.3390/s21010252