Cargando…

Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images

BACKGROUND: Facial erythema, a prominent characteristic of rosacea, causes concern to both the patient and doctor. In clinical practice, commonly used erythema severity subjective assessment tools lack objectivity and are less comprehensive. Even with images taken by the VISIA(®) system, diffused er...

Descripción completa

Detalles Bibliográficos
Autores principales: Tao, Meng, Li, Min, Zhang, Yue, Liu, Yunyi, Jiang, Peiyu, Liu, Yixuan, Xu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838746/
https://www.ncbi.nlm.nih.gov/pubmed/36426837
http://dx.doi.org/10.1111/srt.13241
_version_ 1784869344357908480
author Tao, Meng
Li, Min
Zhang, Yue
Liu, Yunyi
Jiang, Peiyu
Liu, Yixuan
Xu, Yang
author_facet Tao, Meng
Li, Min
Zhang, Yue
Liu, Yunyi
Jiang, Peiyu
Liu, Yixuan
Xu, Yang
author_sort Tao, Meng
collection PubMed
description BACKGROUND: Facial erythema, a prominent characteristic of rosacea, causes concern to both the patient and doctor. In clinical practice, commonly used erythema severity subjective assessment tools lack objectivity and are less comprehensive. Even with images taken by the VISIA(®) system, diffused erythema is difficult to segment and evaluate fully due to the automatic threshold segmentation method. This study aimed to explore a more objective and scientific erythema quantification tool with the aid of the ImageJ software analysis of the red area images taken by the VISIA(®) system. MATERIALS AND METHODS: Patients with rosacea were enrolled and assessed for the clinical severity of their illness using various stools—the standard grading systems (SGS) for rosacea, investigator's global assessment (IGA), and clinician's erythema assessment (CEA). Facial images in the red area mode of the VISIA(®) system were further analyzed by the ImageJ for the relative intensity of redness and percentage of erythema area; the correlation with the scores of the subjective grading systems was evaluated. RESULTS: This study included 201 patients (195 females and 6 males). The relative intensity of redness was positively correlated to the SGS, IGA, and CEA scores (0.688, 0.725, and 0.718, respectively) (p < 0.001). The percentage of erythema area was positively correlated to the SGS, IGA, and CEA scores (0.615, 0.666, and 0.656, respectively) (p < 0.001). CONCLUSION: We demonstrated a more objective and precise method of assessing the severity of facial erythema rosacea, which could comprehensively assess the severity by both the area and intensity of facial erythema.
format Online
Article
Text
id pubmed-9838746
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-98387462023-04-13 Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images Tao, Meng Li, Min Zhang, Yue Liu, Yunyi Jiang, Peiyu Liu, Yixuan Xu, Yang Skin Res Technol Original Articles BACKGROUND: Facial erythema, a prominent characteristic of rosacea, causes concern to both the patient and doctor. In clinical practice, commonly used erythema severity subjective assessment tools lack objectivity and are less comprehensive. Even with images taken by the VISIA(®) system, diffused erythema is difficult to segment and evaluate fully due to the automatic threshold segmentation method. This study aimed to explore a more objective and scientific erythema quantification tool with the aid of the ImageJ software analysis of the red area images taken by the VISIA(®) system. MATERIALS AND METHODS: Patients with rosacea were enrolled and assessed for the clinical severity of their illness using various stools—the standard grading systems (SGS) for rosacea, investigator's global assessment (IGA), and clinician's erythema assessment (CEA). Facial images in the red area mode of the VISIA(®) system were further analyzed by the ImageJ for the relative intensity of redness and percentage of erythema area; the correlation with the scores of the subjective grading systems was evaluated. RESULTS: This study included 201 patients (195 females and 6 males). The relative intensity of redness was positively correlated to the SGS, IGA, and CEA scores (0.688, 0.725, and 0.718, respectively) (p < 0.001). The percentage of erythema area was positively correlated to the SGS, IGA, and CEA scores (0.615, 0.666, and 0.656, respectively) (p < 0.001). CONCLUSION: We demonstrated a more objective and precise method of assessing the severity of facial erythema rosacea, which could comprehensively assess the severity by both the area and intensity of facial erythema. John Wiley and Sons Inc. 2022-11-25 /pmc/articles/PMC9838746/ /pubmed/36426837 http://dx.doi.org/10.1111/srt.13241 Text en © 2022 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Tao, Meng
Li, Min
Zhang, Yue
Liu, Yunyi
Jiang, Peiyu
Liu, Yixuan
Xu, Yang
Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images
title Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images
title_full Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images
title_fullStr Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images
title_full_unstemmed Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images
title_short Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images
title_sort objectively quantifying facial erythema in rosacea aided by the imagej analysis of visia red images
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838746/
https://www.ncbi.nlm.nih.gov/pubmed/36426837
http://dx.doi.org/10.1111/srt.13241
work_keys_str_mv AT taomeng objectivelyquantifyingfacialerythemainrosaceaaidedbytheimagejanalysisofvisiaredimages
AT limin objectivelyquantifyingfacialerythemainrosaceaaidedbytheimagejanalysisofvisiaredimages
AT zhangyue objectivelyquantifyingfacialerythemainrosaceaaidedbytheimagejanalysisofvisiaredimages
AT liuyunyi objectivelyquantifyingfacialerythemainrosaceaaidedbytheimagejanalysisofvisiaredimages
AT jiangpeiyu objectivelyquantifyingfacialerythemainrosaceaaidedbytheimagejanalysisofvisiaredimages
AT liuyixuan objectivelyquantifyingfacialerythemainrosaceaaidedbytheimagejanalysisofvisiaredimages
AT xuyang objectivelyquantifyingfacialerythemainrosaceaaidedbytheimagejanalysisofvisiaredimages