1
|
Zhang H, Ning E, Lu L, Zhou J, Shao Z, Yang X, Hao Y. Research progress of ultrasound in accurate evaluation of cartilage injury in osteoarthritis. Front Endocrinol (Lausanne) 2024; 15:1420049. [PMID: 39211448 PMCID: PMC11358554 DOI: 10.3389/fendo.2024.1420049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 07/25/2024] [Indexed: 09/04/2024] Open
Abstract
Osteoarthritis (OA) is a prevalent cause of joint algesia, loss of function, and disability in adults, with cartilage injury being its core pathological manifestation. Since cartilage damage is non-renewable, the treatment outcome in the middle and late stages of OA is unsatisfactory, which can be minimized by changing lifestyle and other treatment modalities if diagnosed and managed in the early stages, indicating the importance of early diagnosis and monitoring of cartilage injury. Ultrasound technology has been used for timely diagnosis and even cartilage injury treatment, which is convenient and safe for the patient owing to no radiation exposure. Studies have demonstrated the effectiveness of ultrasound and its various quantitative ultrasound parameters, like ultrasound roughness index (URI), reflection coefficient (R), apparent integrated backscatter (AIB), thickness, and ultrasound elastography, in the early and accurate assessment of OA cartilage pathological changes, including surface and internal tissue, hardness, and thickness. Although many challenges are faced in the clinical application of this technology in diagnosis, ultrasound and ultrasound-assisted techniques offer a lot of promise for detecting early cartilage damage in OA. In this review, we have discussed the evaluation of ultrasonic cartilage quantitative parameters for early pathological cartilage changes.
Collapse
Affiliation(s)
- Huili Zhang
- Orthopedics and Sports Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Gusu School, Nanjing Medical University, Suzhou, China
| | - Eryu Ning
- Orthopedics and Sports Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Gusu School, Nanjing Medical University, Suzhou, China
| | - Lingfeng Lu
- Orthopedics and Sports Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Gusu School, Nanjing Medical University, Suzhou, China
| | - Jing Zhou
- Orthopedics and Sports Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Gusu School, Nanjing Medical University, Suzhou, China
| | - Zhiqiang Shao
- Orthopedics and Sports Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Xing Yang
- Orthopedics and Sports Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Gusu School, Nanjing Medical University, Suzhou, China
| | - Yuefeng Hao
- Orthopedics and Sports Medicine Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Gusu School, Nanjing Medical University, Suzhou, China
| |
Collapse
|
2
|
Nevalainen MT, Uusimaa AP, Saarakkala S. The ultrasound assessment of osteoarthritis: the current status. Skeletal Radiol 2023; 52:2271-2282. [PMID: 37060461 PMCID: PMC10509065 DOI: 10.1007/s00256-023-04342-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/17/2023] [Accepted: 04/10/2023] [Indexed: 04/16/2023]
Abstract
Traditionally, osteoarthritis (OA) is diagnosed with the clinical examination supplemented by the conventional radiography (CR). In the research literature, the role of ultrasound (US) imaging in the diagnostics of OA has risen steadily during the last two decades. US imaging is cheap and globally widely available often already in primary healthcare. Here, we reviewed the most essential US literature focusing on OA diagnostics and progression prediction using the various search engines. Starting from the year 2000, our search provided 1 445 journal articles. After reviewing the abstracts, 89 articles were finally included. Most of the reviewed articles focused on the imaging of knee and hand OA, whereas only a minority dealt with the imaging of hip, ankle, midfoot, acromioclavicular, and temporomandibular joints. Overall, during the last 20 years, the use of US imaging for OA assessment has increased in the scientific literature. In knee and hand joints, US imaging has been reported to be a promising tool to evaluate OA changes. Furthermore, the reproducibility of US as well as its association to MRI findings are excellent. Importantly, US seems to even outperform CR in certain aspects, such as detection of osteophytes, joint inflammation, meniscus protrusion, and localized cartilage damage (especially at the medial femoral condyle and sulcus area). Based on the reviewed literature, US can be truly considered as a complementary tool to CR in the clinical setup for OA diagnostics. New technical developments may even enhance the diagnostic value of the US in the future.
Collapse
Affiliation(s)
- Mika T Nevalainen
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, POB 5000, FI-90014, Oulu, Finland.
- Department of Diagnostic Radiology, Oulu University Hospital, P.O. Box 50, 90029, Oulu, Finland.
| | - Antti-Pekka Uusimaa
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, POB 5000, FI-90014, Oulu, Finland
| | - Simo Saarakkala
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, POB 5000, FI-90014, Oulu, Finland
| |
Collapse
|
3
|
Imaging CM&M. Retracted: Preliminary Study on Grading Diagnosis of Early Knee Osteoarthritis by Shear Wave Elastography. CONTRAST MEDIA & MOLECULAR IMAGING 2023; 2023:9782632. [PMID: 37502533 PMCID: PMC10371652 DOI: 10.1155/2023/9782632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 07/18/2023] [Indexed: 07/29/2023]
Abstract
[This retracts the article DOI: 10.1155/2022/4229181.].
Collapse
|
4
|
Cueva JH, Castillo D, Espinós-Morató H, Durán D, Díaz P, Lakshminarayanan V. Detection and Classification of Knee Osteoarthritis. Diagnostics (Basel) 2022; 12:2362. [PMID: 36292051 PMCID: PMC9600223 DOI: 10.3390/diagnostics12102362] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 09/23/2022] [Accepted: 09/25/2022] [Indexed: 03/08/2024] Open
Abstract
Osteoarthritis (OA) affects nearly 240 million people worldwide. Knee OA is the most common type of arthritis, especially in older adults. Physicians measure the severity of knee OA according to the Kellgren and Lawrence (KL) scale through visual inspection of X-ray or MR images. We propose a semi-automatic CADx model based on Deep Siamese convolutional neural networks and a fine-tuned ResNet-34 to simultaneously detect OA lesions in the two knees according to the KL scale. The training was done using a public dataset, whereas the validations were performed with a private dataset. Some problems of the imbalanced dataset were solved using transfer learning. The model results average of the multi-class accuracy is 61%, presenting better performance results for classifying classes KL-0, KL-3, and KL-4 than KL-1 and KL-2. The classification results were compared and validated using the classification of experienced radiologists.
Collapse
Affiliation(s)
- Joseph Humberto Cueva
- Departamento de Química, Facultad de Ciencias Exactas y Naturales, Universidad Técnica Particular de Loja, San Cayetano Alto s/n, Loja 11-01-608, Ecuador
| | - Darwin Castillo
- Departamento de Química, Facultad de Ciencias Exactas y Naturales, Universidad Técnica Particular de Loja, San Cayetano Alto s/n, Loja 11-01-608, Ecuador
- Instituto de Instrumentación para Imagen Molecular (i3M) Universitat Politècnica de València—Consejo Superior de Investigaciones Científicas (CSIC), 46022 Valencia, Spain
- Theoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Waterloo, ON N2L3G1, Canada
| | - Héctor Espinós-Morató
- Escuela de Ciencia, Ingeniería y Diseño, Universidad Europea de Valencia, Paseo de la Alameda 7, 46010 Valencia, Spain
| | - David Durán
- Applied Data Science Lab (ADaS Lab), Facultat Informàtica, Multimedia i Telecomunicacions, Universitat Oberta de Catalunya, Avenida Tibidabo 39-43, 08035 Barcelona, Spain
| | - Patricia Díaz
- Facultad de Ciencias Médicas, Universidad Técnica Particular de Loja, San Cayetano Alto s/n, Loja 11-01-608, Ecuador
| | - Vasudevan Lakshminarayanan
- Theoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Waterloo, ON N2L3G1, Canada
- Departments of Physics, Electrical and Computer Engineering and Systems Design Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada
| |
Collapse
|