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In Vivo Imaging of Biodegradable Implants and Related Tissue Biomarkers. Polymers (Basel) 2021; 13:polym13142348. [PMID: 34301105 PMCID: PMC8309526 DOI: 10.3390/polym13142348] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 07/12/2021] [Indexed: 01/10/2023] Open
Abstract
Non-invasive longitudinal imaging of osseointegration of bone implants is essential to ensure a comprehensive, physical and biochemical understanding of the processes related to a successful implant integration and its long-term clinical outcome. This study critically reviews the present imaging techniques that may play a role to assess the initial stability, bone quality and quantity, associated tissue remodelling dependent on implanted material, implantation site (surrounding tissues and placement depth), and biomarkers that may be targeted. An updated list of biodegradable implant materials that have been reported in the literature, from metal, polymer and ceramic categories, is provided with reference to the use of specific imaging modalities (computed tomography, positron emission tomography, ultrasound, photoacoustic and magnetic resonance imaging) suitable for longitudinal and non-invasive imaging in humans. The advantages and disadvantages of the single imaging modality are discussed with a special focus on preclinical imaging for biodegradable implant research. Indeed, the investigation of a new implant commonly requires histological examination, which is invasive and does not allow longitudinal studies, thus requiring a large number of animals for preclinical testing. For this reason, an update of the multimodal and multi-parametric imaging capabilities will be here presented with a specific focus on modern biomaterial research.
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Boesen M, Kubassova O, Sudoł-Szopińska I, Maas M, Hansen P, Nybing JD, Oei EH, Hemke R, Guermazi A. MR Imaging of Joint Infection and Inflammation with Emphasis on Dynamic Contrast-Enhanced MR Imaging. PET Clin 2018; 13:523-550. [PMID: 30219186 DOI: 10.1016/j.cpet.2018.05.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Contrast-enhanced MR imaging (CE-MR imaging) is recommended for diagnosis and monitoring of infectious and most inflammatory joint diseases. CE-MR imaging clearly differentiates soft and bony tissue from fluid collections and infectious debris. To improve imaging information, a dynamic CE-MR imaging sequence (DCE-MR imaging) sequence can be applied using fast T1-weighted sequential image acquisition during contrast injection. Use of DCE-MR imaging allows robust extraction of quantitative information regarding blood flow and capillary permeability, especially when dedicated analysis methods and software are used to analyze contrast kinetics. This article describes principles of DCE-MR imaging for the assessment of infectious and inflammatory joint diseases.
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Affiliation(s)
- Mikael Boesen
- Department of Radiology, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400, Copenhagen Nv, Denmark; Parker Institute, Bispebjerg and Frederiksberg Hospital, Nordrefasanvej 57, 2000 Copenhagen F, Denmark.
| | - Olga Kubassova
- Image Analysis Group (IAG), AQBC Minster House, 272-274 Vauxhall Bridge Road, SW1V 1BA, London, UK
| | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland; Department of Diagnostic Imaging, Warsaw Medical University, Warsaw, Poland
| | - Mario Maas
- Department of Radiology, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands; Department of Nuclear Medicine, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands
| | - Philip Hansen
- Department of Radiology, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400, Copenhagen Nv, Denmark
| | - Janus Damm Nybing
- Department of Radiology, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400, Copenhagen Nv, Denmark
| | - Edwin H Oei
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Robert Hemke
- Department of Radiology, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands; Department of Nuclear Medicine, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands
| | - Ali Guermazi
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA
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Nemeth A, Marco L, Boutitie F, Sdika M, Grenier D, Rabilloud M, Beuf O, Pialat J. Reproducibility of in vivo magnetic resonance imaging T
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relaxation time measurements of hip cartilage at 3.0T in healthy volunteers. J Magn Reson Imaging 2017. [DOI: 10.1002/jmri.25799] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Angeline Nemeth
- Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM‐Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1206, F‐69616Villeurbanne France
| | - Lucy Marco
- Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM‐Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1206, F‐69616Villeurbanne France
- Radiologie et Imagerie médicale diagnostique et thérapeutique, Hôpital François MitterrandDijon France
| | - Florent Boutitie
- Hospices Civils de Lyon, Service de Biostatistique et Bioinformatique, Lyon, France; Université de Lyon, Lyon, France; Université Lyon 1, Villeurbanne, France; CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique‐SantéVilleurbanne France
| | - Michael Sdika
- Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM‐Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1206, F‐69616Villeurbanne France
| | - Denis Grenier
- Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM‐Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1206, F‐69616Villeurbanne France
| | - Muriel Rabilloud
- Hospices Civils de Lyon, Service de Biostatistique et Bioinformatique, Lyon, France; Université de Lyon, Lyon, France; Université Lyon 1, Villeurbanne, France; CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique‐SantéVilleurbanne France
| | - Olivier Beuf
- Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM‐Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1206, F‐69616Villeurbanne France
| | - Jean‐Baptiste Pialat
- Service de Radiologie, Centre Hospitalier Lyon‐Sud, Hospices Civils de Lyon, INSERM U1033 et Université Lyon 1Lyon France
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