Frequency-Domain Optical Tomographic Imaging of Arthritic Finger Joints

We are presenting data from the largest clinical trial on optical tomographic imaging of finger joints to date. Overall we evaluated 99 fingers of patients affected by rheumatoid arthritis (RA) and 120 fingers from healthy volunteers. Using frequency-domain imaging techniques we show that sensitivit...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2011-10, Vol.30 (10), p.1725-1736
Main Authors: Hielscher, A. H., Hyun Keol Kim, Montejo, L. D., Blaschke, S., Netz, U. J., Zwaka, P. A., Illing, G., Muller, G. A., Beuthan, J.
Format: Article
Language:English
Subjects:
Adult
Aged
Algorithms
Area Under Curve
Arthritis, Rheumatoid - diagnosis
Arthritis, Rheumatoid - pathology
Biomedical optical imaging
Case-Control Studies
Computer aided diagnostics
Diagnosis, Computer-Assisted - methods
Diseases
Female
Finger Joint - pathology
Fourier Analysis
Humans
Joints
light propagation in tissue
Male
Middle Aged
Optical imaging
Optical scattering
optical tomography
rheumatoid arthritis (RA)
ROC Curve
Sensitivity and Specificity
Tomography
Tomography, Optical - methods
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Summary:We are presenting data from the largest clinical trial on optical tomographic imaging of finger joints to date. Overall we evaluated 99 fingers of patients affected by rheumatoid arthritis (RA) and 120 fingers from healthy volunteers. Using frequency-domain imaging techniques we show that sensitivities and specificities of 0.85 and higher can be achieved in detecting RA. This is accomplished by deriving multiple optical parameters from the optical tomographic images and combining them for the statistical analysis. Parameters derived from the scattering coefficient perform slightly better than absorption derived parameters. Furthermore we found that data obtained at 600 MHz leads to better classification results than data obtained at 0 or 300 MHz.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2011.2135374