Evaluation of Erythema Severity in Dermatoscopic Images of Canine Skin: Erythema Index Assessment and Image Sampling Reliability
Abstract
:1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Olivry, T.; Saridomichelakis, M.; Nuttall, T.; Bensignor, E.; Griffin, C.E.; Hill, P.B. Validation of the Canine Atopic Dermatitis Extent and Severity Index (CADESI)-4, a simplified severity scale for assessing skin lesions of atopic dermatitis in dogs. Vet. Dermatol. 2014, 25, 77. [Google Scholar] [CrossRef] [PubMed]
- Saridomichelakis, M.N.; Olivry, T. An update on the treatment of canine atopic dermatitis. Vet. J. 2016, 207, 29–37. [Google Scholar] [CrossRef]
- Olivry, T.; DeBoer, D.J.; Favrot, C.; Jackson, H.A.; Mueller, R.S.; Nuttall, T.; Prélaud, P. Treatment of canine atopic dermatitis: 2015 updated guidelines from the International Committee on Allergic Diseases of Animals (ICADA). BMC Vet. Res. 2015, 11, 1–15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rybníĉek, J.; Harvey, R.; Hill, P.B.; Lau-Gillard, P.J. Further validation of a pruritus severity scale for use in dogs. Vet. Dermatol. 2009, 20, 115–122. [Google Scholar] [CrossRef]
- Olivry, T. Could we use the erythema grading of the CADESI4 as a simple instrument for future short-duration clinical trials of dogs with atopic dermatitis? Vet. Dermatol. 2018, 30, 80–81. [Google Scholar] [CrossRef]
- Frew, J.; Penzi, L.; Suárez-Fariñas, M.; Garcet, S.; Brunner, P.M.; Czarnowicki, T.; Kim, J.; Bottomley, C.; Finney, R.; Cueto, I.; et al. The erythema Q-score, an imaging biomarker for redness in skin inflammation. Exp. Dermatol. 2020, 1–7. [Google Scholar] [CrossRef]
- High, E.J.; Olivry, T. Development and validation of a graphic 2D investigator’s global assessment instrument for grading the overall severity of atopic dermatitis in dogs. Vet. Dermatol. 2020, 31, 207. [Google Scholar] [CrossRef] [PubMed]
- Tan, J.; Liu, H.; Leyden, J.J.; Leoni, M.J. Reliability of Clinician Erythema Assessment grading scale. J. Am. Acad. Dermatol. 2014, 71, 760–763. [Google Scholar] [CrossRef]
- Raina, A.; Hennessy, R.J.; Rains, M.; Allred, J.; Hirshburg, J.M.; Diven, D.G.; Markey, M.K. Objective measurement of erythema in psoriasis using digital color photography with color calibration. Ski. Res. Technol. 2016, 22, 375–380. [Google Scholar] [CrossRef] [Green Version]
- Bożek, A.; Reich, A. Assessment of Intra- and Inter-Rater Reliability of Three Methods for Measuring Atopic Dermatitis Severity: EASI, Objective SCORAD, and IGA. Dermatology 2017, 233, 16–22. [Google Scholar] [CrossRef] [Green Version]
- Riordan, B.; Sprigle, S.; Linden, M. Testing the validity of erythema detection algorithms. J. Rehabil. Res. Dev. 2001, 38, 13–22. [Google Scholar]
- Zhao, C.; Wijayanti, A.; Doria, M.; Harris, A.G.; Jain, S.; Legaspi, K.; Dlova, N.; Law, M.; Murrell, D.F. The reliability and validity of outcome measures for atopic dermatitis in patients with pigmented skin: A grey area. Int. J. Womens Dermatol. 2015, 1, 150–154. [Google Scholar] [CrossRef] [Green Version]
- Dall’Oglio, F.; Verzì, A.E.; Lacarrubba, F.; Giuffrida, G.; Milani, M.; Micali, G. Inter-observer evaluation of erythema-directed photography for the assessment of erythema and telangiectasias in rosacea. Ski. Res. Technol. 2020, 1–5. [Google Scholar] [CrossRef]
- Clarys, P.; Alewaeters, K.; Lambrecht, R.; Barel, A.O. Skin color measurements: Comparison between three instruments: The Chromameter® the DermaSpectrometer® and the Mexameter®. Ski. Res. Technol. 2000, 6, 230–238. [Google Scholar] [CrossRef]
- Baquié, M.; Kasraee, B. Discrimination between cutaneous pigmentation and erythema: Comparison of the skin colorimeters Dermacatch and Mexameter. Ski. Res. Technol. 2013, 20, 218–227. [Google Scholar] [CrossRef]
- Abdlaty, R.; Doerwald-Munoz, L.; Madooei, A.; Sahli, S.; Yeh, S.-C.A.; Zerubia, J.; Wong, R.K.W.; Hayward, J.E.; Farrell, T.J.; Fang, Q. Hyperspectral Imaging and Classification for Grading Skin Erythema. Front. Phys. 2018, 6, 72. [Google Scholar] [CrossRef]
- Jung, B.; Kim, C.-S.; Choi, B.; Kelly, K.M.; Nelson, J.S. Use of erythema index imaging for systematic analysis of port wine stain skin response to laser therapy. Lasers Surg. Med. 2005, 37, 186–191. [Google Scholar] [CrossRef] [Green Version]
- Saknite, I.; Zavorins, A.; Jakovels, D.; Spigulis, J.; Kisis, J. Comparison of single-spot technique and RGB imaging for erythema index estimation. Physiol. Meas. 2016, 37, 333–346. [Google Scholar] [CrossRef] [PubMed]
- Cugmas, B.; Olivry, T. Evaluation of skin erythema severity by dermatoscopy in dogs with atopic dermatitis. Vet. Dermatol. 2021. [Google Scholar] [CrossRef] [PubMed]
- Uthoff, R.D.; Song, B.; Maarouf, M.; Shi, V.Y.; Liang, R. Point-of-care, multispectral, smartphone-based dermascopes for dermal lesion screening and erythema monitoring. J. Biomed. Opt. 2020, 25, 066004. [Google Scholar] [CrossRef]
- Cugmas, B.; Olivry, T.; Olivrī, A.; Spigulis, J. Skimager for the objective erythema estimation in atopic dogs. Photonics Dermatol. Plast. Surg. 2020, 11211, 1121110. [Google Scholar] [CrossRef] [Green Version]
- Bodekaer, M.; Philipsen, P.A.; Karlsmark, T.; Wulf, H.C.; Bodekær, M. Good agreement between minimal erythema dose test reactions and objective measurements: An in vivo study of human skin. Photodermatol. Photoimmunol. Photomed. 2013, 29, 190–195. [Google Scholar] [CrossRef] [PubMed]
- Yamamoto, T.; Takiwaki, H.; Arase, S.; Ohshima, H. Derivation and clinical application of special imaging by means of digital cameras and Image J freeware for quantification of erythema and pigmentation. Ski. Res. Technol. 2007, 14, 26–34. [Google Scholar] [CrossRef] [PubMed]
- Ohshima, H.; Takiwaki, H.; Washizaki, K.; Ishiko, A.; Itoh, M.; Kanto, H. Quantitative evaluation of patch test reactions: A comparison between visual grading and erythema index image analysis. Ski. Res. Technol. 2011, 17, 220–225. [Google Scholar] [CrossRef]
- Logger, J.G.M.; De Jong, E.M.G.J.; Driessen, R.J.B.; Van Erp, P.E.J. Evaluation of a simple image-based tool to quantify facial erythema in rosacea during treatment. Ski. Res. Technol. 2020, 26, 804–812. [Google Scholar] [CrossRef] [PubMed]
- Wagner, J.K.; Jovel, C.; Norton, H.L.; Parra, E.J.; Shriver, M.D. Comparing Quantitative Measures of Erythema, Pigmentation and Skin Response using Reflectometry. Pigment. Cell Res. 2002, 15, 379–384. [Google Scholar] [CrossRef] [PubMed]
- Chen, Y.; Hua, W.; Li, A.; He, H.; Xie, L.; Li, L. Analysis of facial redness by comparing VISIA® from Canfield and CSKIN® from Yanyun Technology. Ski. Res. Technol. 2020, 26, 696–701. [Google Scholar] [CrossRef]
- Cho, M.; Lee, D.-H.; Doh, E.J.; Kim, Y.; Chung, J.H.; Kim, H.C.; Kim, S. Development and clinical validation of a novel photography-based skin erythema evaluation system: A comparison with the calculated consensus of dermatologists. Int. J. Cosmet. Sci. 2017, 39, 426–434. [Google Scholar] [CrossRef] [PubMed]
- Cugmas, B.; Štruc, E. Accuracy of an Affordable Smartphone-Based Teledermoscopy System for Color Measurements in Canine Skin. Sensors 2020, 20, 6234. [Google Scholar] [CrossRef]
- Koo, T.K.; Li, M.Y. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J. Chiropr. Med. 2016, 15, 155–163. [Google Scholar] [CrossRef] [Green Version]
- Boysen, L.; Sørensen, P.; Larsen, M.; Serup, J.; Kristensen, F. Evaluation of skin erythema by use of chromametry and image analysis of digital photographs after intradermal administration of histamine in dogs. Am. J. Vet. Res. 2002, 63, 565–569. [Google Scholar] [CrossRef] [PubMed]
- Nicholson, M.; Willis, C.M. The influence of patch test size and design on the distribution of erythema induced by sodium lauryl sulfate. Contact Dermat. 1999, 41, 264–267. [Google Scholar] [CrossRef] [PubMed]
ISM\EI | RG | GR | BRG | BG | a* | Mean |
---|---|---|---|---|---|---|
PT | 0.73 ± 0.04 | −0.73 ± 0.04 | 0.75 ± 0.05 | 0.66 ± 0.05 | 0.70 ± 0.03 | 0.71 ± 0.05 |
SQ2 | 0.72 ± 0.05 | −0.72 ± 0.05 | 0.75 ± 0.05 | 0.67 ± 0.05 | 0.70 ± 0.05 | 0.71 ± 0.05 |
SQ1 | 0.70 ± 0.05 | −0.70 ± 0.05 | 0.73 ± 0.05 | 0.61 ± 0.06 | 0.69 ± 0.04 | 0.68 ± 0.06 |
Mean | 0.71 ± 0.05 | −0.72 ± 0.05 | 0.74 ± 0.05 | 0.65 ± 0.06 | 0.70 ± 0.04 |
ISM\EI | RG | GR | BRG | BG | a* | Mean |
---|---|---|---|---|---|---|
PT | 11.7 ± 0.7 | 11.7 ± 0.6 | 11.6 ± 0.5 | 12.7 ± 0.6 | 12.1 ± 0.3 | 12.0 ± 0.7 |
SQ2 | 11.9 ± 1.0 | 11.9 ± 0.8 | 11.6 ± 0.8 | 12.6 ± 0.8 | 12.3 ± 0.5 | 12.1 ± 0.8 |
SQ1 | 12.2 ± 0.7 | 12.3 ± 0.6 | 12.0 ± 0.5 | 12.9 ± 0.9 | 12.4 ± 0.3 | 12.4 ± 0.7 |
Mean | 11.9 ± 0.8 | 12.0 ± 0.6 | 11.7 ± 0.6 | 12.7 ± 0.7 | 12.3 ± 0.4 |
Rater | Spearman | ICC (2, k) | αk | ΔEIBRG | Δa* |
---|---|---|---|---|---|
Intra- | 0.97 ± 0.03 | 0.99 ± 0.01 | 0.98 ± 0.02 | 0.02 ± 0.02 | 0.6 ± 0.6 |
Inter- | 0.94 ± 0.03 | 0.95 ± 0.04 | 0.90 ± 0.07 | 0.05 ± 0.09 | 1.3 ± 1.7 |
Rater | PT | SQ2 | SQ1 |
---|---|---|---|
Intra- | 0.99 ± 0.01 | 0.98 ± 0.01 | 0.97 ± 0.02 |
Inter- | 0.88 ± 0.08 | 0.88 ± 0.07 | 0.93 ± 0.04 |
Rater | 0 (None) | 1 (Mild) | 2 (Moderate) | 3 (Severe) |
---|---|---|---|---|
Intra- | 0.01 [0.00–0.07] | 0.01 [0.00–0.06] | 0.02 [0.00–0.06] | 0.03 [0.00–0.14] |
Inter- | 0.01 [0.00–0.33] | 0.01 [0.00–0.22] | 0.05 [0.00–0.22] | 0.05 [0.00–0.60] |
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Cugmas, B.; Viškere, D.; Štruc, E.; Olivry, T. Evaluation of Erythema Severity in Dermatoscopic Images of Canine Skin: Erythema Index Assessment and Image Sampling Reliability. Sensors 2021, 21, 1285. https://doi.org/10.3390/s21041285
Cugmas B, Viškere D, Štruc E, Olivry T. Evaluation of Erythema Severity in Dermatoscopic Images of Canine Skin: Erythema Index Assessment and Image Sampling Reliability. Sensors. 2021; 21(4):1285. https://doi.org/10.3390/s21041285
Chicago/Turabian StyleCugmas, Blaž, Daira Viškere, Eva Štruc, and Thierry Olivry. 2021. "Evaluation of Erythema Severity in Dermatoscopic Images of Canine Skin: Erythema Index Assessment and Image Sampling Reliability" Sensors 21, no. 4: 1285. https://doi.org/10.3390/s21041285