TY  - CONF
Y1  - 2011///
N1  - cited By 7; Conference of 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 ; Conference Date: 17 July 2011 Through 19 July 2011; Conference Code:86894
A1  - Mohd Hani, A.F.
A1  - Malik, A.S.
A1  - Kumar, D.
A1  - Kamil, R.
A1  - Razak, R.
A1  - Kiflie, A.
N2  - 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 (1H/23Na) 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. © 2011 IEEE.
SN  - 9781457707520
TI  - Features and modalities for assessing early knee osteoarthritis
CY  - Bandung
KW  - Articular cartilages; Contrast Enhancement; Early detection; In-vivo; Knee osteoarthritis; Measurement tools; Molecular compositions; Molecular feature; Non-invasive; Proteoglycans; sodium MRI
KW  -  Electrical engineering; Information science; Magnetic resonance imaging; Resonance; Sodium; Software agents; Stiffness; Surface roughness; Water content
KW  -  Cartilage
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054016135&doi=10.1109%2fICEEI.2011.6021631&partnerID=40&md5=e3fa6145f5ce08853d9807fcaeb9f241
ID  - scholars1871
AV  - none
ER  -