Hyperspectral imaging for skin assessment in systemic sclerosis: a pilot study

Hyperspectral imaging (HSI) is a novel technology for obtaining quantitative measurements from transcutaneous spatial and spectral information. In patients with SSc, the severity of skin tightness is associated with internal organ involvement. However, clinical assessment using the modified Rodnan s...

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Published in:Rheumatology (Oxford, England) England), 2020-11, Vol.59 (11), p.3201-3210
Main Authors: Chen, Yi-Ming, Lai, Kuo-Lung, Chen, Hsin-Hua, Huang, Wen-Nan, Lin, Ching-Tsai, Chao, Wen-Cheng, Chen, Jun-Peng, Fu, Yu-Wen, Chen, Hsian-Min, Lui, Ping-Wing
Format: Article
Language:English
Subjects:
Adult
Cohort Studies
Elasticity Imaging Techniques
Female
Humans
Hyperspectral Imaging
Male
Middle Aged
Pilot Projects
Scleroderma, Systemic - complications
Scleroderma, Systemic - diagnosis
Severity of Illness Index
Skin Diseases - diagnosis
Skin Diseases - diagnostic imaging
Skin Diseases - etiology
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Summary:Hyperspectral imaging (HSI) is a novel technology for obtaining quantitative measurements from transcutaneous spatial and spectral information. In patients with SSc, the severity of skin tightness is associated with internal organ involvement. However, clinical assessment using the modified Rodnan skin score is highly variable and there are currently no universal standardized protocols. This study aimed to compare the ability to differentiate between SSc patients and healthy controls using skin scores, ultrasound and HSI. Short-wave infrared light was utilized to detect the spectral angle mapper (SAM) of HSI. In addition, skin severity was evaluated by skin scores, ultrasound to detect dermal thickness and strain elastography. Spearman's correlation was used for assessing skin scores, strain ratio, thickness and SAM. Comparisons of various assessment tools were performed by receiver operating characteristic curves. In total, 31 SSc patients were enrolled. SAM was positively correlated with skin scores and dermal thickness. In SSc patients with normal skin scores, SAM values were still significantly higher than in healthy controls. SAM exhibited the highest area under the curve (AUC: 0.812, P 
ISSN:1462-0324
1462-0332
DOI:10.1093/rheumatology/keaa067