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Mahazer MKJ, Leong SS, Wong JHD, Rozalli FI, Yahya F, Tee YC, Mohd Razalli M, Vijayananthan A, Baharuddin H. Defining normal enthesis stiffness range in a healthy adult population. Br J Radiol 2025; 98:469-474. [PMID: 39724309 DOI: 10.1093/bjr/tqae250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 08/14/2024] [Accepted: 12/11/2024] [Indexed: 12/28/2024] Open
Abstract
OBJECTIVES This study explores the correlation between volunteer demographics with enthesis stiffness and intra- and interobserver agreements using shear wave elastography (SWE). METHODS Ninety-eight healthy volunteers were recruited. SWE was performed on quadriceps, suprapatellar, infrapatellar, and Achilles entheses. The stiffness measurements were measured in shear wave velocity (SWV). RESULTS Mann-Whitney test revealed insignificant difference in SWV among gender. Wilcoxon signed-rank test showed significant difference in SWV between left and right Achilles entheses. Spearman correlation test revealed moderate negative correlation between SWV and age group in quadriceps (ρ, -0.45, P < .01), and weak negative correlation in suprapatellar (ρ, -0.31, P < .01), and left Achilles (ρ, -0.29, P < .01). Multiple linear regression analysis showed subjects' demographic significantly predicted quadriceps, suprapatellar, and left Achilles entheses stiffness with only age statistically significantly to the prediction (P < .05). Kruskal-Wallis showed significant differences in SWV for quadriceps (P = .01), suprapatellar (P = .03), and left Achilles (P = .01) among different age groups. Good interobserver [0.79-0.86 (95% CI, 0.32-0.94)] and interobserver agreement [0.78-0.89 (95% CI, 0.62-0.95)] were found in all the entheses. CONCLUSION SWE emerges as a reproducible method for entheses stiffness quantification, with the study highlighting age as a significant factor impacting SWV in quadriceps, suprapatellar, and left Achilles entheses. Among the studied entheses, SWV for Achilles enthesis is the highest in all age groups. ADVANCES IN KNOWLEDGE The study significantly contributes to the understanding of enthesis stiffness by exploring the influence of gender, BMI, and age.
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Affiliation(s)
| | - Sook Sam Leong
- Centre for Medical Imaging Studies, Faculty of Health Sciences, Universiti Teknologi MARA, 42300, Selangor, Malaysia
| | - Jeannie Hsiu Ding Wong
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
- Universiti Malaya Research Imaging Centre (UMRIC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Faizatul Izza Rozalli
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
- Universiti Malaya Research Imaging Centre (UMRIC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Fariz Yahya
- Rheumatology Unit, Department of Medicine, Faculty of Medicine, Universiti of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Ying Chew Tee
- Rheumatology Unit, Department of Medicine, Faculty of Medicine, Universiti of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Mazuin Mohd Razalli
- Department of Radiology, Faculty of Medicine, Universiti Teknologi MARA, 47000, Selangor, Malaysia
| | - Anushya Vijayananthan
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
- Universiti Malaya Research Imaging Centre (UMRIC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Hazlyna Baharuddin
- Rheumatology Unit, Department of Internal Medicine, Faculty of Medicine, Universiti Teknologi MARA, 47000, Selangor, Malaysia
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Ng KH, Wong JHD, Leong SS. Shear wave elastography in chronic kidney disease - the physics and clinical application. Phys Eng Sci Med 2024; 47:17-29. [PMID: 38078996 DOI: 10.1007/s13246-023-01358-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 11/15/2023] [Indexed: 03/26/2024]
Abstract
Chronic kidney disease is a leading public health problem worldwide. The global prevalence of chronic kidney disease is nearly five hundred million people, with almost one million deaths worldwide. Estimated glomerular filtration rate, imaging such as conventional ultrasound, and histopathological findings are necessary as each technique provides specific information which, when taken together, may help to detect and arrest the development of chronic kidney disease, besides managing its adverse outcomes. However, estimated glomerular filtration rate measurements are hampered by substantial error margins while conventional ultrasound involves subjective assessment. Although histopathological assessment is the best tool for evaluating the severity of the renal pathology, it may lead to renal insufficiency and haemorrhage if complications occurred. Ultrasound shear wave elastography, an emerging imaging that quantifies tissue stiffness non-invasively has gained interest recently. This method applies acoustic force pulses to generate shear wave within the tissue that propagate perpendicular to the main ultrasound beam. By measuring the speed of shear wave propagation, the tissue stiffness is estimated. This paper reviews the literature and presents our combined experience and knowledge in renal shear wave elastography research. It discusses and highlights the confounding factors on shear wave elastography, current and future possibilities in ultrasound renal imaging and is not limited to new sophisticated techniques.
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Affiliation(s)
- Kwan Hoong Ng
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
- Faculty of Medicine and Health Sciences, UCSI University, Port Dickson, Negeri Sembilan, Malaysia
| | - Jeannie Hsiu Ding Wong
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Sook Sam Leong
- Centre for Medical Imaging Studies, Faculty of Health Sciences, Universiti Teknologi MARA Selangor, Selangor, Malaysia.
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