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Quantitative assessment of rheumatoid arthritis treatment response using short-wave infrared hyperspectral imaging soft abundance scoring

delete2026-04-01
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PRE
AI
C
Chen, Hsin-Hua
W
Wang, Hsin-Che
L
Lai, Kuo-Lung
S
Sung, Chiu-Chin
C
Chen, Jun-Peng
F
Fu, Yu-Wen
W
Weng, Shao-Jen
C
Chen, Hsian-Min *
DOI:10.1117/1.JBO.31.4.045001delete
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Abstract

Abstract

En 中文
Significance Non-invasive optical measures for evaluating rheumatoid arthritis (RA) remain limited. Clinical scores such as the 28-joint Disease Activity Score (DAS28) and ultrasound are operator-dependent and do not directly quantify optical tissue changes. Short-wave infrared (SWIR) hyperspectral imaging (HSI) provides sensitivity to inflammation-associated spectral changes in biological tissues. Aim The aim is to develop and evaluate a quantitative HSI soft abundance scoring (HSISAS) method for assessing treatment response in RA patients using SWIR-HSI. Approach Eleven RA patients who met the 2010 American College of Rheumatology/European Alliance of Associations for Rheumatology criteria underwent SWIR-HSI (900 to 1700 nm) of the wrist joints before and after 12 weeks of biologic therapy. The HSISAS algorithm used pixel-wise reflectance spectra together with spectral correlation structure estimation and constrained energy minimization-based abundance scoring to compute intra- and inter-subject scores. These scores were statistically compared with conventional clinical indices, including DAS28, erythrocyte sedimentation rate, C-reactive protein, and power Doppler ultrasound findings. Results Both intra- and inter-HSISAS significantly increased after treatment (p<0.001) and were positively associated with DAS28 improvement. Reflectance spectra showed visible pre/post-treatment differences, particularly near 1250 nm. The abundance maps visually differentiated pre- and post-treatment states consistent with clinical improvement. Conclusions The HSISAS framework provides a quantitative, non-contact optical measure of treatment-related spectral changes in RA. This method may offer translational potential for disease monitoring and may complement existing ultrasound and laboratory assessments.
Keywords:
rheumatoid arthritis
optical measure
short-wave infrared hyperspectral imaging
hyperspectral imaging soft abundance scorer
inflammation quantification

Journal

Journal of Biomedical Optics cover
Journal of Biomedical Optics
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2.9
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Tunghai University
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taichung veterans general hospital
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national chung hsing university
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