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Updated: Dec 25, 2025

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
Hyperspectral imaging for skin assessment in systemic sclerosis: a pilot study.
Yi-Ming Chen1,2,3,4, Kuo-Lung Lai2, Hsin-Hua Chen1,2,3,4,5
1Department of Medical Research, Taichung Veterans General Hospital, Taichung.
Hyperspectral imaging (HSI) effectively detects systemic sclerosis (SSc) by analyzing spectral angle mapper (SAM) values, correlating with skin scores and thickness. This non-invasive HSI method shows promise for assessing SSc skin changes.
Area of Science:
- Medical Imaging
- Dermatology
- Rheumatology
Background:
- Systemic sclerosis (SSc) skin tightness severity correlates with internal organ involvement.
- Current clinical assessment of SSc skin tightness, like the modified Rodnan skin score, lacks standardization and shows high variability.
- There is a need for objective, standardized methods to assess SSc skin changes.
Purpose of the Study:
- To compare the efficacy of hyperspectral imaging (HSI) against traditional methods like skin scores and ultrasound in differentiating SSc patients from healthy controls.
- To evaluate HSI's ability to detect subclinical skin changes in SSc patients.
Main Methods:
- Utilized short-wave infrared light for hyperspectral imaging (HSI) to calculate the spectral angle mapper (SAM).
- Assessed skin severity using skin scores, ultrasound (dermal thickness), and strain elastography.
- Employed Spearman's correlation to analyze relationships between skin scores, strain ratio, thickness, and SAM.
- Used receiver operating characteristic (ROC) curves to compare the diagnostic performance of different assessment tools.
Main Results:
- Spectral angle mapper (SAM) positively correlated with skin scores and dermal thickness in SSc patients.
- SAM values were significantly higher in SSc patients, even those with normal skin scores, compared to healthy controls.
- HSI, measured by SAM, demonstrated the highest diagnostic accuracy (AUC: 0.812) for detecting SSc compared to skin scores (AUC: 0.712), ultrasound thickness (AUC: 0.585), and elastography strain ratio (AUC: 0.522).
Conclusions:
- Spectral angle mapper (SAM) derived from HSI is correlated with clinical skin scores and sensitive enough to detect subclinical SSc.
- Hyperspectral imaging (HSI) offers a novel, non-invasive approach for quantitatively assessing skin alterations in systemic sclerosis.
- HSI shows potential as a standardized tool for monitoring SSc progression and treatment response.
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