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CC BY 4.0 · Semin Musculoskelet Radiol 2023; 27(06): 618-631
DOI: 10.1055/s-0043-1775741
Review Article

Advanced Magnetic Resonance Imaging and Molecular Imaging of the Painful Knee

Jacob M. Mostert
1   Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
,
Niels B.J. Dur
1   Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
2   Department of Orthopedics and Sports Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
,
Xiufeng Li
3   Department of Radiology, Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota
,
Jutta M. Ellermann
3   Department of Radiology, Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota
,
Robert Hemke
4   Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
,
Laurel Hales
5   Department of Radiology, Stanford University, Stanford, California
,
Valentina Mazzoli
5   Department of Radiology, Stanford University, Stanford, California
,
Feliks Kogan
5   Department of Radiology, Stanford University, Stanford, California
,
James F. Griffith
6   Department of Imaging and Interventional Radiology Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
,
Edwin H.G. Oei
1   Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
,
Rianne A. van der Heijden
1   Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
7   Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin
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Abstract

Chronic knee pain is a common condition. Causes of knee pain include trauma, inflammation, and degeneration, but in many patients the pathophysiology remains unknown. Recent developments in advanced magnetic resonance imaging (MRI) techniques and molecular imaging facilitate more in-depth research focused on the pathophysiology of chronic musculoskeletal pain and more specifically inflammation. The forthcoming new insights can help develop better targeted treatment, and some imaging techniques may even serve as imaging biomarkers for predicting and assessing treatment response in the future. This review highlights the latest developments in perfusion MRI, diffusion MRI, and molecular imaging with positron emission tomography/MRI and their application in the painful knee. The primary focus is synovial inflammation, also known as synovitis. Bone perfusion and bone metabolism are also addressed.

Keywords

knee - pain - imaging - magnetic resonance imaging - positron emission tomography


Publikationsverlauf

Artikel online veröffentlicht:
07. November 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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  • References

  • 1 Quantitative Imaging Biomarkers Alliance (QIBA) MR Biomarker Committee. DCE-MRI quantification. Quantitative Imaging Biomarkers Alliance. Profile Stage: Public comment. October 12, 2022. Available at: https://qibawiki.rsna.org/index.php/Profiles Accessed August 29, 2023
    PubMed
  • 2 Walker-Samuel S, Leach MO, Collins DJ. Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis. Phys Med Biol 2006; 51 (14) 3593-3602
    CrossrefPubMedGoogle Scholar
  • 3 Taylor JS, Reddick WE. Evolution from empirical dynamic contrast-enhanced magnetic resonance imaging to pharmacokinetic MRI. Adv Drug Deliv Rev 2000; 41 (01) 91-110
    CrossrefPubMedGoogle Scholar
  • 4 Baudrexel S, Nöth U, Schüre JR, Deichmann RT. T⌝1 mapping with the variable flip angle technique: a simple correction for insufficient spoiling of transverse magnetization. Magn Reson Med 2018; 79 (06) 3082-3092
    CrossrefPubMedGoogle Scholar
  • 5 Poot DHJ, van der Heijden RA, van Middelkoop M, Oei EHG, Klein S. Dynamic contrast-enhanced MRI of the patellar bone: how to quantify perfusion. J Magn Reson Imaging 2018; 47 (03) 848-858
    CrossrefPubMedGoogle Scholar
  • 6 Tofts PS, Kermode AG. Blood brain barrier permeability in multiple sclerosis using labelled DTPA with PET, CT and MRI. J Neurol Neurosurg Psychiatry 1989; 52 (08) 1019-1020
    CrossrefPubMedGoogle Scholar
  • 7 Tofts PS. T1-weighted DCE imaging concepts: modelling, acquisition and analysis. Signal 2010; 500 (450) 400
    PubMedGoogle Scholar
  • 8 Shakoor D, Demehri S, Roemer FW, Loeuille D, Felson DT, Guermazi A. Are contrast-enhanced and non-contrast MRI findings reflecting synovial inflammation in knee osteoarthritis: a meta-analysis of observational studies. Osteoarthritis Cartilage 2020; 28 (02) 126-136
    CrossrefPubMedGoogle Scholar
  • 9 Riis RGC, Gudbergsen H, Henriksen M. et al. Synovitis assessed on static and dynamic contrast-enhanced magnetic resonance imaging and its association with pain in knee osteoarthritis: a cross-sectional study. Eur J Radiol 2016; 85 (06) 1099-1108
    CrossrefPubMedGoogle Scholar
  • 10 de Vries BA, van der Heijden RA, Poot DHJ. et al. Quantitative DCE-MRI demonstrates increased blood perfusion in Hoffa's fat pad signal abnormalities in knee osteoarthritis, but not in patellofemoral pain. Eur Radiol 2020; 30 (06) 3401-3408
    CrossrefPubMedGoogle Scholar
  • 11 de Vries BA, van der Heijden RA, Verschueren J. et al. Quantitative subchondral bone perfusion imaging in knee osteoarthritis using dynamic contrast enhanced MRI. Semin Arthritis Rheum 2020; 50 (02) 177-182
    CrossrefPubMedGoogle Scholar
  • 12 MacKay JW, Nezhad FS, Rifai T. et al. Dynamic contrast-enhanced MRI of synovitis in knee osteoarthritis: repeatability, discrimination and sensitivity to change in a prospective experimental study. Eur Radiol 2021; 31 (08) 5746-5758
    CrossrefPubMedGoogle Scholar
  • 13 Daugaard CL, Henriksen M, Riis RGC. et al. The impact of a significant weight loss on inflammation assessed on DCE-MRI and static MRI in knee osteoarthritis: a prospective cohort study. Osteoarthritis Cartilage 2020; 28 (06) 766-773
    CrossrefPubMedGoogle Scholar
  • 14 Bandak E, Boesen M, Bliddal H. et al. The effect of exercise therapy on inflammatory activity assessed by MRI in knee osteoarthritis: secondary outcomes from a randomized controlled trial. Knee 2021; 28: 256-265
    CrossrefPubMedGoogle Scholar
  • 15 Riis RGC, Henriksen M, Klokker L. et al. The effects of intra-articular glucocorticoids and exercise on pain and synovitis assessed on static and dynamic magnetic resonance imaging in knee osteoarthritis: exploratory outcomes from a randomized controlled trial. Osteoarthritis Cartilage 2017; 25 (04) 481-491
    CrossrefPubMedGoogle Scholar
  • 16 Gait AD, Hodgson R, Parkes MJ. et al. Synovial volume vs synovial measurements from dynamic contrast enhanced MRI as measures of response in osteoarthritis. Osteoarthritis Cartilage 2016; 24 (08) 1392-1398
    CrossrefPubMedGoogle Scholar
  • 17 Axelsen MB, Stoltenberg M, Poggenborg RP. et al. Dynamic gadolinium-enhanced magnetic resonance imaging allows accurate assessment of the synovial inflammatory activity in rheumatoid arthritis knee joints: a comparison with synovial histology. Scand J Rheumatol 2012; 41 (02) 89-94
    CrossrefPubMedGoogle Scholar
  • 18 van der Leij C, Lavini C, van de Sande MGH, de Hair MJH, Wijffels C, Maas M. Reproducibility of DCE-MRI time-intensity curve-shape analysis in patients with knee arthritis: a comparison with qualitative and pharmacokinetic analyses. J Magn Reson Imaging 2015; 42 (06) 1497-1506
    CrossrefPubMedGoogle Scholar
  • 19 Axelsen MB, Poggenborg RP, Stoltenberg M. et al. Reliability and responsiveness of dynamic contrast-enhanced magnetic resonance imaging in rheumatoid arthritis. Scand J Rheumatol 2013; 42 (02) 115-122
    CrossrefPubMedGoogle Scholar
  • 20 Maijer KI, van der Leij C, de Hair MJH. et al. Dynamic contrast-enhanced magnetic resonance imaging using pharmacokinetic modeling: initial experience in patients with early arthritis. Arthritis Rheumatol 2016; 68 (03) 587-596
    CrossrefPubMedGoogle Scholar
  • 21 Hemke R, Lavini C, Nusman CM. et al. Pixel-by-pixel analysis of DCE-MRI curve shape patterns in knees of active and inactive juvenile idiopathic arthritis patients. Eur Radiol 2014; 24 (07) 1686-1693
    CrossrefPubMedGoogle Scholar
  • 22 Hemke R, Nusman CM, van den Berg JM. et al. Construct validity of pixel-by-pixel DCE-MRI: correlation with conventional MRI scores in juvenile idiopathic arthritis. Eur J Radiol 2017; 94: 1-5
    CrossrefPubMedGoogle Scholar
  • 23 Workie DW, Graham TB, Laor T. et al. Quantitative MR characterization of disease activity in the knee in children with juvenile idiopathic arthritis: a longitudinal pilot study. Pediatr Radiol 2007; 37 (06) 535-543
    CrossrefPubMedGoogle Scholar
  • 24 Detre JA, Leigh JS, Williams DS, Koretsky AP. Perfusion imaging. Magn Reson Med 1992; 23 (01) 37-45
    CrossrefPubMedGoogle Scholar
  • 25 Xing D, Zha Y, Yan L, Wang K, Gong W, Lin H. Feasibility of ASL spinal bone marrow perfusion imaging with optimized inversion time. J Magn Reson Imaging 2015; 42 (05) 1314-1320
    CrossrefPubMedGoogle Scholar
  • 26 Li X, Johnson CP, Ellermann J. Measuring knee bone marrow perfusion using arterial spin labeling at 3 T. Sci Rep 2020; 10 (01) 5260
    CrossrefPubMedGoogle Scholar
  • 27 Li X, Johnson CP, Ellermann J. 7T bone perfusion imaging of the knee using arterial spin labeling MRI. Magn Reson Med 2020; 83 (05) 1577-1586
    CrossrefPubMedGoogle Scholar
  • 28 Li X, Wang D, Auerbach EJ, Moeller S, Ugurbil K, Metzger GJ. Theoretical and experimental evaluation of multi-band EPI for high-resolution whole brain pCASL Imaging. Neuroimage 2015; 106: 170-181
    CrossrefPubMedGoogle Scholar
  • 29 Li X, Johnson C, Ellerman J. Knee epiphyseal bone marrow perfusion imaging using FAIR RESOLVE. Paper presented at: Proceedings of the International Society for Magnetic Resonance (ISMRM) 28th Annual Meeting; April 18–23, 2020; Sydney, NSW, Australia
    PubMed
  • 30 Kangarlu A, Baertlein BA, Lee R. et al. Dielectric resonance phenomena in ultra high field MRI. J Comput Assist Tomogr 1999; 23 (06) 821-831
    CrossrefPubMedGoogle Scholar
  • 31 Filipowska J, Tomaszewski KA, Niedźwiedzki Ł, Walocha JA, Niedźwiedzki T. The role of vasculature in bone development, regeneration and proper systemic functioning. Angiogenesis 2017; 20 (03) 291-302
    CrossrefPubMedGoogle Scholar
  • 32 McCullough RW, Gandsman EJ, Litchman HE, Schatz SL. Dynamic bone scintigraphy in osteochondritis dissecans. Int Orthop 1988; 12 (04) 317-322
    CrossrefPubMedGoogle Scholar
  • 33 Litchman HM, McCullough RW, Gandsman EJ, Schatz SL. Computerized blood flow analysis for decision making in the treatment of osteochondritis dissecans. J Pediatr Orthop 1988; 8 (02) 208-212
    CrossrefPubMedGoogle Scholar
  • 34 Guirguis M, Sharan G, Wang J, Chhabra A. Diffusion-weighted MR imaging of musculoskeletal tissues: incremental role over conventional MR imaging in bone, soft tissue, and nerve lesions. BJR Open 2022; 4 (01) 20210077
    PubMedGoogle Scholar
  • 35 Subhawong TK, Jacobs MA, Fayad LM. Diffusion-weighted MR imaging for characterizing musculoskeletal lesions. Radiographics 2014; 34 (05) 1163-1177
    CrossrefPubMedGoogle Scholar
  • 36 Li X, Liu X, Du X, Ye Z. Diffusion-weighted MR imaging for assessing synovitis of wrist and hand in patients with rheumatoid arthritis: a feasibility study. Magn Reson Imaging 2014; 32 (04) 350-353
    CrossrefPubMedGoogle Scholar
  • 37 Fujimori M, Murakami K, Sugimori H. et al. Intravoxel incoherent motion MRI for discrimination of synovial proliferation in the hand arthritis: a prospective proof-of-concept study. J Magn Reson Imaging 2019; 50 (04) 1199-1206
    CrossrefPubMedGoogle Scholar
  • 38 Jeromel M, Jevtič V, Serša I, Ambrožič A, Tomšič M. Quantification of synovitis in the cranio-cervical region: dynamic contrast enhanced and diffusion weighted magnetic resonance imaging in early rheumatoid arthritis—a feasibility follow-up study. Eur J Radiol 2012; 81 (11) 3412-3419
    CrossrefPubMedGoogle Scholar
  • 39 Vendhan K, Bray TJP, Atkinson D. et al. A diffusion-based quantification technique for assessment of sacroiliitis in adolescents with enthesitis-related arthritis. Br J Radiol 2016; 89 (1059): 20150775
    CrossrefPubMedGoogle Scholar
  • 40 Bray T, Vendhan K, Ambrose N. et al. Diffusion-weighted imaging is a sensitive biomarker of response to biologic therapy in enthesitis-related arthritis. Rheumatology (Oxford) 2017; 56 (03) 399-407
    PubMedGoogle Scholar
  • 41 Barendregt AM, Mazzoli V, van Gulik EC. et al. Juvenile idiopathic arthritis: diffusion-weighted MRI in the assessment of arthritis in the knee. Radiology 2020; 295 (02) 373-380
    CrossrefPubMedGoogle Scholar
  • 42 Barendregt AM, van Gulik EC, Lavini C. et al. Diffusion-weighted imaging for assessment of synovial inflammation in juvenile idiopathic arthritis: a promising imaging biomarker as an alternative to gadolinium-based contrast agents. Eur Radiol 2017; 27 (11) 4889-4899
    CrossrefPubMedGoogle Scholar
  • 43 Sandford HJC, MacKay JW, Watkins LE, Gold GE, Kogan F, Mazzoli V. Gadolinium-free assessment of synovitis using diffusion tensor imaging. NMR Biomed 2022; 35 (01) e4614
    CrossrefPubMedGoogle Scholar
  • 44 Tripathi D, Awasthi R, Agarwal V. et al. Diffusion tensor and dynamic contrast-enhanced magnetic resonance imaging correlate with molecular markers of inflammation in the synovium. Diagnostics (Basel) 2022; 12 (12) 3041
    CrossrefPubMedGoogle Scholar
  • 45 Agarwal V, Kumar M, Singh JK, Rathore RKS, Misra R, Gupta RK. Diffusion tensor anisotropy magnetic resonance imaging: a new tool to assess synovial inflammation. Rheumatology (Oxford) 2009; 48 (04) 378-382
    CrossrefPubMedGoogle Scholar
  • 46 Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988; 168 (02) 497-505
    CrossrefPubMedGoogle Scholar
  • 47 Le Bihan D. What can we see with IVIM MRI?. Neuroimage 2019; 187: 56-67
    CrossrefPubMedGoogle Scholar
  • 48 Huch B, Stumpf K, Bracher AK. et al. Intravoxel incoherent motion (IVIM) MRI in pediatric patients with synovitis of the knee joint: a prospective pilot study. Pediatr Rheumatol Online J 2022; 20 (01) 99
    CrossrefPubMedGoogle Scholar
  • 49 Hilbert F, Holl-Wieden A, Sauer A, Köstler H, Neubauer H. Intravoxel incoherent motion magnetic resonance imaging of the knee joint in children with juvenile idiopathic arthritis. Pediatr Radiol 2017; 47 (06) 681-690
    CrossrefPubMedGoogle Scholar
  • 50 Guo T, Chen J, Wu B. et al. Use of intravoxel incoherent motion diffusion-weighted imaging in identifying the vascular and avascular zones of human meniscus. J Magn Reson Imaging 2017; 45 (04) 1090-1096
    CrossrefPubMedGoogle Scholar
  • 51 McWalter EJ, Sveinsson B, Oei EH. et al. Non-contrast diffusion-weighted MRI for detection of synovitis using DESS. Paper presented at: International Society for Magnetic Resonance annual meeting; May 10–16, 2014. Milan, Italy:
    Google Scholar
  • 52 de Vries BA, Breda SJ, Sveinsson B. et al. Detection of knee synovitis using non-contrast-enhanced qDESS compared with contrast-enhanced MRI. Arthritis Res Ther 2021; 23 (01) 55
    CrossrefPubMedGoogle Scholar
  • 53 Eijgenraam SM, Chaudhari AS, Reijman M. et al. Time-saving opportunities in knee osteoarthritis: T2 mapping and structural imaging of the knee using a single 5-min MRI scan. Eur Radiol 2020; 30 (04) 2231-2240
    CrossrefPubMedGoogle Scholar
  • 54 Son YN, Jin W, Jahng GH. et al. Efficacy of double inversion recovery magnetic resonance imaging for the evaluation of the synovium in the femoro-patellar joint without contrast enhancement. Eur Radiol 2018; 28 (02) 459-467
    CrossrefPubMedGoogle Scholar
  • 55 Verkuil F, Hemke R, van Gulik EC. et al. Double inversion recovery MRI versus contrast-enhanced MRI for evaluation of knee synovitis in juvenile idiopathic arthritis. Insights Imaging 2022; 13 (01) 167
    CrossrefPubMedGoogle Scholar
  • 56 Raynor W, Houshmand S, Gholami S. et al. Evolving role of molecular imaging with (18)F-sodium fluoride PET as a biomarker for calcium metabolism. Curr Osteoporos Rep 2016; 14 (04) 115-125
    CrossrefPubMedGoogle Scholar
  • 57 Crymes Jr WB, Demos H, Gordon L. Detection of musculoskeletal infection with 18F-FDG PET: review of the current literature. J Nucl Med Technol 2004; 32 (01) 12-15
    PubMedGoogle Scholar
  • 58 Czernin J, Satyamurthy N, Schiepers C. Molecular mechanisms of bone 18F-NaF deposition. J Nucl Med 2010; 51 (12) 1826-1829
    CrossrefPubMedGoogle Scholar
  • 59 Piert M, Zittel TT, Becker GA. et al. Assessment of porcine bone metabolism by dynamic [18F]fluoride ion PET: correlation with bone histomorphometry. J Nucl Med Off Publ Soc Nucl Med 2001; 42 (07) 1091-1100
    PubMedGoogle Scholar
  • 60 Adams MC, Turkington TG, Wilson JM, Wong TZ. A systematic review of the factors affecting accuracy of SUV measurements. AJR Am J Roentgenol 2010; 195 (02) 310-320
    CrossrefPubMedGoogle Scholar
  • 61 Hawkins RA, Choi Y, Huang SC. et al. Evaluation of the skeletal kinetics of fluorine-18-fluoride ion with PET. J Nucl Med 1992; 33 (05) 633-642
    PubMedGoogle Scholar
  • 62 Blake GM, Siddique M, Frost ML, Moore AEB, Fogelman I. Quantitative PET imaging using (18)F sodium fluoride in the assessment of metabolic bone diseases and the monitoring of their response to therapy. PET Clin 2012; 7 (03) 275-291
    CrossrefPubMedGoogle Scholar
  • 63 Haddock B, Fan AP, Jørgensen NR, Suetta C, Gold GE, Kogan F. Kinetic [18F]-Fluoride of the knee in normal volunteers. Clin Nucl Med 2019; 44 (05) 377-385
    CrossrefPubMedGoogle Scholar
  • 64 Shah J, Bural G, Houseni M, Alavi A. The role of FDG-PET in assessing osteoarthritis. J Nucl Med 2007; 48 (Suppl. 02) 282
    PubMedGoogle Scholar
  • 65 Nakamura H, Masuko K, Yudoh K. et al. Positron emission tomography with 18F-FDG in osteoarthritic knee. Osteoarthritis Cartilage 2007; 15 (06) 673-681
    CrossrefPubMedGoogle Scholar
  • 66 Parsons MA, Moghbel M, Saboury B. et al. Increased 18F-FDG uptake suggests synovial inflammatory reaction with osteoarthritis: preliminary in-vivo results in humans. Nucl Med Commun 2015; 36 (12) 1215-1219
    CrossrefPubMedGoogle Scholar
  • 67 Kogan F, Fan AP, McWalter EJ, Oei EHG, Quon A, Gold GE. PET/MRI of metabolic activity in osteoarthritis: a feasibility study. J Magn Reson Imaging 2017; 45 (06) 1736-1745
    CrossrefPubMedGoogle Scholar
  • 68 Watkins L, MacKay J, Haddock B. et al. Assessment of quantitative [18F]Sodium fluoride PET measures of knee subchondral bone perfusion and mineralization in osteoarthritic and healthy subjects. Osteoarthritis Cartilage 2021; 29 (06) 849-858
    CrossrefPubMedGoogle Scholar
  • 69 Al-Zaghal A, Yellanki DP, Ayubcha C, Werner TJ, Høilund-Carlsen PF, Alavi A. CT-based tissue segmentation to assess knee joint inflammation and reactive bone formation assessed by 18F-FDG and 18F-NaF PET/CT: effects of age and BMI. Hell J Nucl Med 2018; 21 (02) 102-107
    PubMedGoogle Scholar
  • 70 Kogan F, Fan AP, Monu U, Iagaru A, Hargreaves BA, Gold GE. Quantitative imaging of bone-cartilage interactions in ACL-injured patients with PET-MRI. Osteoarthritis Cartilage 2018; 26 (06) 790-796
    CrossrefPubMedGoogle Scholar
  • 71 MacKay JW, Watkins L, Gold G, Kogan F. [18F]NaF PET-MRI provides direct in-vivo evidence of the association between bone metabolic activity and adjacent synovitis in knee osteoarthritis: a cross-sectional study. Osteoarthritis Cartilage 2021; 29 (08) 1155-1162
    CrossrefPubMedGoogle Scholar
  • 72 Blom AB, van Lent PLEM, Holthuysen AEM. et al. Synovial lining macrophages mediate osteophyte formation during experimental osteoarthritis. Osteoarthritis Cartilage 2004; 12 (08) 627-635
    CrossrefPubMedGoogle Scholar
  • 73 Haddock B, Fan AP, Uhlrich SD. et al. Assessment of acute bone loading in humans using [18F]NaF PET/MRI. Eur J Nucl Med Mol Imaging 2019; 46 (12) 2452-2463
    CrossrefPubMedGoogle Scholar
  • 74 Watkins LE, Haddock B, MacKay JW. et al. [18F]Sodium fluoride PET-MRI detects increased metabolic bone response to whole-joint loading stress in osteoarthritic knees. Osteoarthritis Cartilage 2022; 30 (11) 1515-1525
    CrossrefPubMedGoogle Scholar
  • 75 Nam JL, Takase-Minegishi K, Ramiro S. et al. Efficacy of biological disease-modifying antirheumatic drugs: a systematic literature review informing the 2016 update of the EULAR recommendations for the management of rheumatoid arthritis. Ann Rheum Dis 2017; 76 (06) 1113-1136
    CrossrefPubMedGoogle Scholar
  • 76 Colebatch AN, Edwards CJ, Østergaard M. et al. EULAR recommendations for the use of imaging of the joints in the clinical management of rheumatoid arthritis. Ann Rheum Dis 2013; 72 (06) 804-814
    CrossrefPubMedGoogle Scholar
  • 77 Hetland ML, Ejbjerg B, Hørslev-Petersen K. et al; CIMESTRA study group. MRI bone oedema is the strongest predictor of subsequent radiographic progression in early rheumatoid arthritis. Results from a 2-year randomised controlled trial (CIMESTRA). Ann Rheum Dis 2009; 68 (03) 384-390
    CrossrefPubMedGoogle Scholar
  • 78 Beckers C, Ribbens C, André B. et al. Assessment of disease activity in rheumatoid arthritis with (18)F-FDG PET. J Nucl Med 2004; 45 (06) 956-964
    PubMedGoogle Scholar
  • 79 Miese F, Scherer A, Ostendorf B. et al. Hybrid 18F-FDG PET-MRI of the hand in rheumatoid arthritis: initial results. Clin Rheumatol 2011; 30 (09) 1247-1250
    CrossrefPubMedGoogle Scholar
  • 80 Beckers C, Jeukens X, Ribbens C. et al. (18)F-FDG PET imaging of rheumatoid knee synovitis correlates with dynamic magnetic resonance and sonographic assessments as well as with the serum level of metalloproteinase-3. Eur J Nucl Med Mol Imaging 2006; 33 (03) 275-280
    CrossrefPubMedGoogle Scholar
  • 81 Roivainen A, Parkkola R, Yli-Kerttula T. et al. Use of positron emission tomography with methyl-11C-choline and 2-18F-fluoro-2-deoxy-D-glucose in comparison with magnetic resonance imaging for the assessment of inflammatory proliferation of synovium. Arthritis Rheum 2003; 48 (11) 3077-3084
    CrossrefPubMedGoogle Scholar
  • 82 van der Laken CJ, Elzinga EH, Kropholler MA. et al. Noninvasive imaging of macrophages in rheumatoid synovitis using 11C-(R)-PK11195 and positron emission tomography. Arthritis Rheum 2008; 58 (11) 3350-3355
    CrossrefPubMedGoogle Scholar
  • 83 Bruijnen STG, Verweij NJF, Gent YYJ. et al. Imaging disease activity of rheumatoid arthritis by macrophage targeting using second generation translocator protein positron emission tomography tracers. PLoS One 2019; 14 (09) e0222844
    CrossrefPubMedGoogle Scholar
  • 84 Verweij NJF, Yaqub M, Bruijnen STG. et al. First in man study of [18F]fluoro-PEG-folate PET: a novel macrophage imaging technique to visualize rheumatoid arthritis. Sci Rep 2020; 10 (01) 1047
    CrossrefPubMedGoogle Scholar
  • 85 Corbin K, von Scheven E, Seo Y, Behr S, Kenzie JK. Comparison of clinical parameters and PET/MRI in juvenile idiopathic arthritis [abstract]. Arthritis Rheumatol 2016;68(10):
    PubMedGoogle Scholar
  • 86 Kogan F, Fan AP, Gold GE. Potential of PET-MRI for imaging of non-oncologic musculoskeletal disease. Quant Imaging Med Surg 2016; 6 (06) 756-771
    CrossrefPubMedGoogle Scholar
  • 87 Cipriano PW, Yoon D, Gandhi H. et al. 18F-FDG PET/MRI in chronic sciatica: early results revealing spinal and nonspinal abnormalities. J Nucl Med 2018; 59 (06) 967-972
    CrossrefPubMedGoogle Scholar
  • 88 Chauveau F, Becker G, Boutin H. Have (R)-[11C]PK11195 challengers fulfilled the promise? A scoping review of clinical TSPO PET studies. Eur J Nucl Med Mol Imaging 2021; 49 (01) 201-220
    CrossrefPubMedGoogle Scholar
  • 89 James ML, Shen B, Nielsen CH. et al. Evaluation of σ-1 receptor radioligand 18F-FTC-146 in rats and squirrel monkeys using PET. J Nucl Med 2014; 55 (01) 147-153
    CrossrefPubMedGoogle Scholar
  • 90 Cipriano PW, Lee SW, Yoon D. et al. Successful treatment of chronic knee pain following localization by a sigma-1 receptor radioligand and PET/MRI: a case report. J Pain Res 2018; 11: 2353-2357
    CrossrefPubMedGoogle Scholar
  • 91 Griffith JF, van der Heijden RA. Bone marrow MR perfusion imaging and potential for tumor evaluation. Skeletal Radiol 2023; 52 (03) 477-491
    CrossrefPubMedGoogle Scholar