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Hayashi D, Roemer FW, Link T, Li X, Kogan F, Segal NA, Omoumi P, Guermazi A. Latest advancements in imaging techniques in OA. Ther Adv Musculoskelet Dis 2022; 14:1759720X221146621. [PMID: 36601087 PMCID: PMC9806406 DOI: 10.1177/1759720x221146621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 12/05/2022] [Indexed: 12/28/2022] Open
Abstract
The osteoarthritis (OA) research community has been advocating a shift from radiography-based screening criteria and outcome measures in OA clinical trials to a magnetic resonance imaging (MRI)-based definition of eligibility and endpoint. For conventional morphological MRI, various semiquantitative evaluation tools are available. We have lately witnessed a remarkable technological advance in MRI techniques, including compositional/physiologic imaging and automated quantitative analyses of articular and periarticular structures. More recently, additional technologies were introduced, including positron emission tomography (PET)-MRI, weight-bearing computed tomography (CT), photon-counting spectral CT, shear wave elastography, contrast-enhanced ultrasound, multiscale X-ray phase contrast imaging, and spectroscopic photoacoustic imaging of cartilage. On top of these, we now live in an era in which artificial intelligence is increasingly utilized in medicine. Osteoarthritis imaging is no exception. Successful implementation of artificial intelligence (AI) will hopefully improve the workflow of radiologists, as well as the level of precision and reproducibility in the interpretation of images.
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Affiliation(s)
- Daichi Hayashi
- Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA,Department of Radiology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA
| | - Frank W. Roemer
- Department of Radiology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA,Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Thomas Link
- Department of Radiology, University of California San Francisco, San Franciso, CA, USA
| | - Xiaojuan Li
- Department of Radiology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
| | - Feliks Kogan
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Neil A. Segal
- Department of Rehabilitation Medicine, The University of Kansas, Kansas City, KS, USA
| | - Patrick Omoumi
- Department of Radiology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
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Annunziata S, Panagiotidis E. Hybrid positron emission tomography/magnetic resonance imaging in musculoskeletal conditions: be hybrid! THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF... 2022; 66:1-2. [PMID: 35362695 DOI: 10.23736/s1824-4785.21.03430-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Salvatore Annunziata
- Unit of Nuclear Medicine, TracerGLab, Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy
| | - Emmanouil Panagiotidis
- Department of Nuclear Medicine - PET/CT, Theageneio Oncology Center, Thessaloniki, Greece -
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