NDLI: Features and modalities for assessing early knee osteoarthritis

Content Provider	IEEE Xplore Digital Library
Author	Hani, A.F.M. Malik, A.S. Kumar, D. Kamil, R. Razak, R. Kiflie, A.
Copyright Year	2011
Description	Author affiliation: Pantai Hospital, Jalan Tambun, 31400 Ipoh, Perak, Malaysia (Razak, R.; Kiflie, A.) \|\| Centre for Intelligent Signal & Imaging Research, Universiti Teknologi PETRONAS, 31750 Tronoh, Perak, Malaysia (Hani, A.F.M.; Malik, A.S.; Kumar, D.; Kamil, R.)
Abstract	Early detection of knee osteoarthritis (OA) is of great interest to orthopaedists, rheumatologists, radiologists and researchers. It is possible to detect knee osteoarthritis by measuring changes in selected articular cartilage features using sensitive modalities. This paper identifies the modalities that can potentially assess changes in morphological, mechanical or electrical and molecular features of the articular cartilage associated with the progression of OA. From the literature, it was found that the features that undergo earliest change are surface roughness for morphology, cartilage stiffness for mechanical properties and proteoglycan content for molecular composition. However, the earliest changes that can be accurately and consistently measured using non-invasive, non-ionizing and in-vivo modalities in the relevant categories of articular cartilage features are thickness, water and proteoglycan contents. It is argued that MRI is the most suitable modality for measuring early changes in thickness, water and proteoglycan content associated with early stage of osteoarthritis progression. Recent developments in MRI software and hardware, in particular the dual tuned $(^{1}H/^{23}Na)$ MRI, provides the capability to measure accurate changes in thickness, water and proteoglycan contents of articular cartilage without using any contrast enhancement agent. Therefore, future research on early osteoarthritis should focus on using MRI as a measurement tool.
Starting Page	1
Ending Page	6
File Size	1030257
Page Count	6
File Format	PDF
ISBN	9781457707537
ISSN	21556830
e-ISBN	9781457707520
DOI	10.1109/ICEEI.2011.6021631
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-17
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomechanics articular cartilage Ultrasonic imaging Ultrasonic variables measurement Knee osteoarthritis Magnetic resonance imaging Feature extraction sodium MRI Osteoarthritis Joints
Content Type	Text
Resource Type	Article

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