11 September 2015 Pixel-based approach to assess contrast-enhanced ultrasound kinetics parameters for differential diagnosis of rheumatoid arthritis
Gaia Rizzo, Bernd Raffeiner, Alessandro Coran, Luca Ciprian, Ugo Fiocco, Costantino Botsios, Roberto Stramare, Enrico Grisan
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Abstract
Inflammatory rheumatic diseases are the leading causes of disability and constitute a frequent medical disorder, leading to inability to work, high comorbidity, and increased mortality. The standard for diagnosing and differentiating arthritis is based on clinical examination, laboratory exams, and imaging findings, such as synovitis, bone edema, or joint erosions. Contrast-enhanced ultrasound (CEUS) examination of the small joints is emerging as a sensitive tool for assessing vascularization and disease activity. Quantitative assessment is mostly performed at the region of interest level, where the mean intensity curve is fitted with an exponential function. We showed that using a more physiologically motivated perfusion curve, and by estimating the kinetic parameters separately pixel by pixel, the quantitative information gathered is able to more effectively characterize the different perfusion patterns. In particular, we demonstrated that a random forest classifier based on pixelwise quantification of the kinetic contrast agent perfusion features can discriminate rheumatoid arthritis from different arthritis forms (psoriatic arthritis, spondyloarthritis, and arthritis in connective tissue disease) with an average accuracy of 97%. On the contrary, clinical evaluation (DAS28), semiquantitative CEUS assessment, serological markers, or region-based parameters do not allow such a high diagnostic accuracy.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2015/$25.00 © 2015 SPIE
Gaia Rizzo, Bernd Raffeiner, Alessandro Coran, Luca Ciprian, Ugo Fiocco, Costantino Botsios, Roberto Stramare, and Enrico Grisan "Pixel-based approach to assess contrast-enhanced ultrasound kinetics parameters for differential diagnosis of rheumatoid arthritis," Journal of Medical Imaging 2(3), 034503 (11 September 2015). https://doi.org/10.1117/1.JMI.2.3.034503
Published: 11 September 2015
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Cited by 15 scholarly publications.
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KEYWORDS
Ultrasonography

Statistical analysis

Data modeling

Tissues

Visualization

Blood

Diagnostics

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