Objective assessment of vitiligo with a computerised digital imaging analysis system

Shamsudin, Norashikin; Hussein, Suraiya H.; Nugroho, Hanung Adi; Fadzil, M. H. Ahmad

doi:10.1111/ajd.12247

Cited by 13 publications

(20 citation statements)

References 14 publications

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“…One of the earliest reported methods was the digital image analysis system (DIAS), which performs surface measurement of vitiligo lesions (van Geel et al., ). The computerized digital imaging system (C‐DIAS) is a newer technique for objective assessment of repigmentation, where the mathematical tools of principal component analysis and independent component analysis are used to convert three different spectral bands (red, green, and blue) in a digital skin image into an image that represents skin areas based on melanin and hemoglobin composition (Ahmad Fadzil et al., ; Nugroho et al., ; Shamsudin et al., ). Recent publications on the objective measurement of vitiligo have included an automated digital image analysis system that is able to transform and align identified lesions from follow‐up images with those in the initial image.…”

Section: Section Imentioning

confidence: 99%

Repigmentation in vitiligo: position paper of the Vitiligo Global Issues Consensus Conference

Gan

Eleftheriadou

Esmat

et al. 2017

Pigment Cell Melanoma Res

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The Vitiligo Global Issues Consensus Conference (VGICC), through an international e-Delphi consensus, concluded that 'repigmentation' and 'maintenance of gained repigmentation' are essential core outcome measures in future vitiligo trials. This VGICC position paper addresses these core topics in two sections and includes an atlas depicting vitiligo repigmentation patterns and color match. The first section delineates mechanisms and characteristics of vitiligo repigmentation, and the second section summarizes the outcomes of international meeting discussions and two e-surveys on vitiligo repigmentation, which had been carried out over 3 yr. Treatment is defined as successful if repigmentation exceeds 80% and at least 80% of the gained repigmentation is maintained for over 6 months. No agreement was found on the best outcome measure for assessing target or global repigmentation, therefore highlighting the limitations of e-surveys in addressing clinical measurements. Until there is a clear consensus, existing tools should be selected according to the specific needs of each study. A workshop will be conducted to address the remaining issues so as to achieve a consensus.

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Section: Section Imentioning

confidence: 99%

Repigmentation in vitiligo: position paper of the Vitiligo Global Issues Consensus Conference

Gan

Eleftheriadou

Esmat

et al. 2017

Pigment Cell Melanoma Res

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“…Nine of them measured properties related to the severity of the disease: VES, SA‐VES, SAVASI, VASI, VETFa, VNS, K‐VSCOR, VETI and PRI . We found one observer‐reported instrument based on the processing of digital images: Digital Imaging Analysis System (DIAS) . Two instruments measured the burden of the disease (VIPs and VIS), and three assessed the quality of life (VitiQoL, VIS22 and VLQI).…”

Section: Resultsmentioning

confidence: 99%

Systematic Review of Clinimetric Instruments to determine the severity of Non‐segmental Vitiligo

Peralta‐Pedrero¹,

Morales‐Sánchez²,

Cruz³

et al. 2019

Aust J Dermatology

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This systematic review of measurement instruments for vitiligo outcomes included validation articles published from 2011 to May 2018. According to the PRISMA statement, the search was carried out in EMBASE (via OvidSP); MEDLINE (via OvidSP and PubMed). The COSMIN taxonomy will be used to define the measurement properties. Inclusion criteria were original studies reporting measuring properties. Exclusion criteria were clinical trials using scales whose measurement properties were not assessed, studies of cross‐cultural adaptation, scales focused on other aspects of the disease such as quality of life, satisfaction, disease's burden. Fourteen studies were identified, which described 15 instruments to measure vitiligo outcomes. Nine of them, measured properties related to the severity of the disease: Vitiligo extent score (VES), Self‐Assessment Vitiligo Extent Score (SA‐VES), Self‐Assessed Vitiligo Area Scoring Index (SAVASI), Vitiligo Area Scoring Index (VASI), Vitiligo European Task Force assessment (VETFa), Vitíligo Noticeability Scale (VNS), Koebner's phenomenon in vitiligo score (K‐VSCOR), Vitiligo Extent Tensity Index (VETI), Potential Repigmentation Index (PRI). The most effective tool to asses affected Body Surface Area (BSA) is VES. The VASI is useful to stratify by severity. There is not enough evidence to recommend the use of SAVASI. The VETFa does not offer any difference to calculate the affected BSA compared with the rule of 9's. The VNS and K‐VSCOR lack of reliability evidence.

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“…Fully manual image elaboration was presented to detect and measure vitiligo patch area [ 14 ]. Also, some papers describe the use of computer-aided image processing tools for vitiligo patch detection, but the papers are more focused on the clinical aspects and they do not provide a deep insight on the method itself [ 15 , 16 ]. Also, these methods are based on the presence of green markers on a patient’s skin.…”

Section: Introductionmentioning

confidence: 99%

Semi-Automatic Tool for Vitiligo Detection and Analysis

Neri

Fiaschi²,

Menchini³

2020

J. Imaging

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Vitiligo vulgaris is an autoimmune disease which causes a strong reduction of the cells producing melanin, which is the main skin pigment. This results in the growth of white patches on patients’ skin, which are more or less visible, depending on the skin phototype. Precise, objective and fast detection of vitiligo patches would be crucial to produce statistically relevant data on huge populations, thus giving an insight on the disease. However, few methods are available in literature. In the present paper, a semi-automatic tool based on image processing to detect facial vitiligo patches is described. The tool requires pictures to be captured under black light illumination, which enhances patches contrast with respect to healthy skin. The user is only required to roughly define the regions of interest and set a global threshold, thus, no specific image-processing skills are required. An adaptive algorithm then automatically discerns between vitiligo and healthy skin pixels. The tools also allow for a statistical data interpretation by overlapping the detected patches of all patients on a face template through an occurrence map. Preliminary results obtained on a small population of 15 patients allowed us to assess the tool’s performance. Patch detection was checked by an experienced dermatologist, who confirmed the detection for all the studied patients, thus supporting the effectiveness of the proposed tool.

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Objective assessment of vitiligo with a computerised digital imaging analysis system

Cited by 13 publications

References 14 publications

Repigmentation in vitiligo: position paper of the Vitiligo Global Issues Consensus Conference

Repigmentation in vitiligo: position paper of the Vitiligo Global Issues Consensus Conference

Systematic Review of Clinimetric Instruments to determine the severity of Non‐segmental Vitiligo

Semi-Automatic Tool for Vitiligo Detection and Analysis

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