Three-dimensional ultrasound for knee osteophyte depiction: a comparative study to computed tomography
Autor: | Gabriel Venne, Tamas Ungi, Jordan Harry, Manuela Kunz, Valeria Vendries, Les MacKenzie, Jana Podlipská |
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Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Knee Joint Computer science Radiography Biomedical Engineering Health Informatics Computed tomography Osteoarthritis 03 medical and health sciences 0302 clinical medicine medicine Humans Structured light scanner Radiology Nuclear Medicine and imaging 3D ultrasound Ultrasonography 030203 arthritis & rheumatology medicine.diagnostic_test business.industry Ultrasound Osteophyte General Medicine Osteoarthritis Knee medicine.disease Computer Graphics and Computer-Aided Design Computer Science Applications 030104 developmental biology medicine.anatomical_structure Fibrocartilage Original Article Surgery Computer Vision and Pattern Recognition Tomography X-Ray Computed business Cadaveric spasm Nuclear medicine |
Zdroj: | International Journal of Computer Assisted Radiology and Surgery |
ISSN: | 1861-6429 1861-6410 |
Popis: | Purpose Osteophytes are common radiographic markers of osteoarthritis. However, they are not accurately depicted using conventional imaging, thus hampering surgical interventions that rely on pre-operative images. Studies have shown that ultrasound (US) is promising at detecting osteophytes and monitoring the progression of osteoarthritis. Furthermore, three-dimensional (3D) ultrasound reconstructions may offer a means to quantify osteophytes. The purpose of this study was to compare the accuracy of osteophyte depiction in the knee joint between 3D US and conventional computed tomography (CT). Methods Eleven human cadaveric knees were pre-screened for the presence of osteophytes. Three osteoarthritic knees were selected, and then, 3D US and CT images were obtained, segmented, and digitally reconstructed in 3D. After dissection, high-resolution structured light scanner (SLS) images of the joint surfaces were obtained. Surface matching and root mean square (RMS) error analyses of surface distances were performed to assess the accuracy of each modality in capturing osteophytes. The RMS errors were compared between 3D US, CT and SLS models. Results Average RMS error comparisons for 3D US versus SLS and CT versus SLS models were 0.87 mm ± 0.33 mm (average ± standard deviation) and 0.95 mm ± 0.32 mm, respectively. No statistical difference was found between 3D US and CT. Comparative observations of imaging modalities suggested that 3D US better depicted osteophytes with cartilage and fibrocartilage tissue characteristics compared to CT. Conclusion Using 3D US can improve the depiction of osteophytes with a cartilaginous portion compared to CT. It can also provide useful information about the presence and extent of osteophytes. Whilst algorithm improvements for automatic segmentation and registration of US are needed to provide a more robust investigation of osteophyte depiction accuracy, this investigation puts forward the potential application for 3D US in routine diagnostic evaluations and pre-operative planning of osteoarthritis. |
Databáze: | OpenAIRE |
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