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van de Burgt A, Hezemans RE, Smit F, Bénard MR, Jansen JA. Sodium fluoride PET/CT with arthrography for cartilage evaluation of the knee. Radiol Case Rep 2024; 19:1855-1858. [PMID: 38425773 PMCID: PMC10901686 DOI: 10.1016/j.radcr.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 03/02/2024] Open
Abstract
The presence of healthy cartilage in the knee joint, featuring smooth articular surfaces, is crucial for normal physiological knee function. However, noninvasive in-vivo assessment of cartilage quality in the knee remains challenging and has not been thoroughly investigated. We aimed to illustrate two clinical cases, a 62-year-old male and a 67-year-old male, presented to the orthopaedic outpatient clinic with severe knee complaints. The novel combination of sodium fluoride-18 positron emission tomography/computed tomography and intra-articular injection of a contrast agent (Na[18F]F-PET/CT arthrography) was performed to evaluate cartilage defects of the knee as part of a prospective patient study. The lesion size observed on the Na[18F]F-PET was substantially larger compared to the findings on CT. This might indicate that Na[18F]F-PET/CT arthrography was able to image osseous and chondral pathological changes in an early stage and in a single procedure. Na[18F]F-PET/CT arthrography is a promising imaging technique and might extend the diagnostic potential of nuclear and radiological imaging in the evaluation of cartilage defects.
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Affiliation(s)
- Alina van de Burgt
- Department of Nuclear Medicine, Alrijne Hospital, Leiderdorp, the Netherlands
- Department of Radiology, section Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Frits Smit
- Department of Nuclear Medicine, Alrijne Hospital, Leiderdorp, the Netherlands
- Department of Radiology, section Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Menno R. Bénard
- Department of Orthopaedics, Alrijne Hospital, Leiden, The Netherlands
| | - Joris A. Jansen
- Department of Orthopaedics, Alrijne Hospital, Leiden, The Netherlands
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2
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Kogan F, Yoon D, Teeter MG, Chaudhari AJ, Hales L, Barbieri M, Gold GE, Vainberg Y, Goyal A, Watkins L. Multimodal positron emission tomography (PET) imaging in non-oncologic musculoskeletal radiology. Skeletal Radiol 2024:10.1007/s00256-024-04640-4. [PMID: 38492029 DOI: 10.1007/s00256-024-04640-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/18/2024]
Abstract
Musculoskeletal (MSK) disorders are associated with large impacts on patient's pain and quality of life. Conventional morphological imaging of tissue structure is limited in its ability to detect pain generators, early MSK disease, and rapidly assess treatment efficacy. Positron emission tomography (PET), which offers unique capabilities to evaluate molecular and metabolic processes, can provide novel information about early pathophysiologic changes that occur before structural or even microstructural changes can be detected. This sensitivity not only makes it a powerful tool for detection and characterization of disease, but also a tool able to rapidly assess the efficacy of therapies. These benefits have garnered more attention to PET imaging of MSK disorders in recent years. In this narrative review, we discuss several applications of multimodal PET imaging in non-oncologic MSK diseases including arthritis, osteoporosis, and sources of pain and inflammation. We also describe technical considerations and recent advancements in technology and radiotracers as well as areas of emerging interest for future applications of multimodal PET imaging of MSK conditions. Overall, we present evidence that the incorporation of PET through multimodal imaging offers an exciting addition to the field of MSK radiology and will likely prove valuable in the transition to an era of precision medicine.
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Affiliation(s)
- Feliks Kogan
- Department of Radiology, Stanford University, Stanford, CA, USA.
| | - Daehyun Yoon
- Department of Radiology, University of California-San Francisco, San Francisco, CA, USA
| | - Matthew G Teeter
- Department of Medical Biophysics, Western University, London, ON, Canada
| | | | - Laurel Hales
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Marco Barbieri
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Garry E Gold
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Yael Vainberg
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Ananya Goyal
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Lauren Watkins
- Department of Radiology, Stanford University, Stanford, CA, USA
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3
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Mostert JM, Dur NB, Li X, Ellermann JM, Hemke R, Hales L, Mazzoli V, Kogan F, Griffith JF, Oei EH, van der Heijden RA. Advanced Magnetic Resonance Imaging and Molecular Imaging of the Painful Knee. Semin Musculoskelet Radiol 2023; 27:618-631. [PMID: 37935208 PMCID: PMC10629992 DOI: 10.1055/s-0043-1775741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
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.
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Affiliation(s)
- Jacob M. Mostert
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Niels B.J. Dur
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Orthopedics and Sports Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Xiufeng Li
- Department of Radiology, Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota
| | - Jutta M. Ellermann
- Department of Radiology, Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota
| | - Robert Hemke
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Laurel Hales
- Department of Radiology, Stanford University, Stanford, California
| | | | - Feliks Kogan
- Department of Radiology, Stanford University, Stanford, California
| | - James F. Griffith
- Department of Imaging and Interventional Radiology Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Edwin H.G. Oei
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Rianne A. van der Heijden
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin
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4
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Watkins LE, Goyal A, Gatti AA, Kogan F. Imaging of joint response to exercise with MRI and PET. Skeletal Radiol 2023; 52:2159-2183. [PMID: 36646851 PMCID: PMC10350475 DOI: 10.1007/s00256-022-04271-7] [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: 09/12/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 01/18/2023]
Abstract
Imaging of the joint in response to loading stress may provide additional measures of joint structure and function beyond conventional, static imaging studies. Exercise such as running, stair climbing, and squatting allows evaluation of the joint response to larger loading forces than during weight bearing. Quantitative MRI (qMRI) may assess properties of cartilage and meniscus hydration and organization in vivo that have been investigated to assess the functional response of these tissues to physiological stress. [18F]sodium fluoride ([18F]NaF) interrogates areas of newly mineralizing bone and provides an opportunity to study bone physiology, including perfusion and mineralization rate, as a measure of joint loading stress. In this review article, methods utilizing quantitative MRI, PET, and hybrid PET-MRI systems for assessment of the joint response to loading from exercise in vivo are examined. Both methodology and results of various studies performed are outlined and discussed. Lastly, the technical considerations, challenges, and future opportunities for these approaches are addressed.
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Affiliation(s)
| | - Ananya Goyal
- Department of Radiology, Stanford University, 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Anthony A Gatti
- Department of Radiology, Stanford University, 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Feliks Kogan
- Department of Radiology, Stanford University, 1201 Welch Rd, Stanford, CA, 94305, USA.
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5
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Sabeghi P, Katal S, Chen M, Taravat F, Werner TJ, Saboury B, Gholamrezanezhad A, Alavi A. Update on Positron Emission Tomography/Magnetic Resonance Imaging: Cancer and Inflammation Imaging in the Clinic. Magn Reson Imaging Clin N Am 2023; 31:517-538. [PMID: 37741639 DOI: 10.1016/j.mric.2023.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2023]
Abstract
Hybrid PET/MRI is highly valuable, having made significant strides in overcoming technical challenges and offering unique advantages such as reduced radiation, precise data coregistration, and motion correction. Growing evidence highlights the value of PET/MRI in broad clinical aspects, including inflammatory and oncological imaging in adults, pregnant women, and pediatrics, potentially surpassing PET/CT. This newly integrated solution may be preferred over PET/CT in many clinical conditions. However, further technological advancements are required to facilitate its broader adoption as a routine diagnostic modality.
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Affiliation(s)
- Paniz Sabeghi
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Sanaz Katal
- Medical Imaging Department of St. Vincent's Hospital, Melbourne, Victoria, Australia
| | - Michelle Chen
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Farzaneh Taravat
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Babak Saboury
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Ali Gholamrezanezhad
- Department of Radiology, Keck School of Medicine of University of Southern California, Health Science Campus, 1500 San Pablo Street, Los Angeles, CA 90033, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
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6
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Puri T, Frost ML, Moore AEB, Choudhury A, Vinjamuri S, Mahajan A, Fynbo C, Vrist M, Theil J, Kairemo K, Wong J, Zaidi H, Revheim ME, Werner TJ, Alavi A, Cook GJR, Blake GM. Utility of a simplified [ 18F] sodium fluoride PET imaging method to quantify bone metabolic flux for a wide range of clinical applications. Front Endocrinol (Lausanne) 2023; 14:1236881. [PMID: 37780613 PMCID: PMC10534005 DOI: 10.3389/fendo.2023.1236881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/14/2023] [Indexed: 10/03/2023] Open
Abstract
We review the rationale, methodology, and clinical utility of quantitative [18F] sodium fluoride ([18F]NaF) positron emission tomography-computed tomography (PET-CT) imaging to measure bone metabolic flux (Ki, also known as bone plasma clearance), a measurement indicative of the local rate of bone formation at the chosen region of interest. We review the bone remodelling cycle and explain what aspects of bone remodelling are addressed by [18F]NaF PET-CT. We explain how the technique works, what measurements are involved, and what makes [18F]NaF PET-CT a useful tool for the study of bone remodelling. We discuss how these measurements can be simplified without loss of accuracy to make the technique more accessible. Finally, we briefly review some key clinical applications and discuss the potential for future developments. We hope that the simplified method described here will assist in promoting the wider use of the technique.
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Affiliation(s)
- Tanuj Puri
- Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, The Christie NHS Foundation Trust, Manchester, United Kingdom
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London, St. Thomas’ Hospital, London, United Kingdom
| | - Michelle L. Frost
- Institute of Cancer Research Clinical Trials & Statistics Unit (ICR-CTSU), The Institute of Cancer Research, Sutton, United Kingdom
| | - Amelia E. B. Moore
- Department of Cancer Imaging, and King’s College London and Guy’s and St Thomas’ PET Centre, School of Biomedical Engineering and Imaging Sciences, King’s College London, St. Thomas’ Hospital, London, United Kingdom
| | - Ananya Choudhury
- Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Sobhan Vinjamuri
- Nuclear Medicine Department, Royal Liverpool and Broadgreen University Hospitals NHS Trust, Liverpool, United Kingdom
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust, University of Liverpool, Liverpool, United Kingdom
| | - Claire Fynbo
- Clinic of Nuclear Medicine, Gødstrup Hospital, Herning, Denmark
| | - Marie Vrist
- University Clinic in Nephrology and Hypertension, Gødstrup Hospital, Herning, Denmark
| | - Jørn Theil
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Kalevi Kairemo
- Department of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - James Wong
- Department of Anaesthesia, St Bartholomew’s Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Habib Zaidi
- Geneva University Hospital, Division of Nuclear Medicine and Molecular Imaging, Geneva, Switzerland
| | - Mona-Elisabeth Revheim
- The Intervention Centre, Oslo University Hospital, Norway Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Thomas J. Werner
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Gary J. R. Cook
- Department of Cancer Imaging, and King’s College London and Guy’s and St Thomas’ PET Centre, School of Biomedical Engineering and Imaging Sciences, King’s College London, St. Thomas’ Hospital, London, United Kingdom
| | - Glen M. Blake
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London, St. Thomas’ Hospital, London, United Kingdom
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7
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PET Imaging in Osteoarthritis. PET Clin 2023; 18:21-29. [DOI: 10.1016/j.cpet.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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8
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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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9
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Watkins LE, Haddock B, MacKay JW, Baker J, Uhlrich SD, Mazzoli V, Gold GE, Kogan F. [ 18F]Sodium fluoride PET-MRI detects increased metabolic bone response to whole-joint loading stress in osteoarthritic knees. Osteoarthritis Cartilage 2022; 30:1515-1525. [PMID: 36031138 PMCID: PMC9922526 DOI: 10.1016/j.joca.2022.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/27/2022] [Accepted: 08/11/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Altered joint function is a hallmark of osteoarthritis (OA). Imaging techniques for joint function are limited, but [18F]sodium fluoride (NaF) PET-MRI may assess the acute joint response to loading stresses. [18F]NaF PET-MRI was used to study the acute joint response to exercise in OA knees, and compare relationships between regions of increased uptake after loading and structural OA progression two years later. METHODS In this prospective study, 10 participants with knee OA (59 ± 8 years; 8 female) were scanned twice consecutively using a PET-MR system and performed a one-legged squat exercise between scans. Changes in tracer uptake measures in 9 bone regions were compared between knees that did and did not exercise with a mixed-effects model. Areas of focally large changes in uptake between scans (ROIfocal, ΔSUVmax > 3) were identified and the presence of structural MRI features was noted. Five participants returned two years later to assess structural change on MRI. RESULTS There was a significant increase in [18F]NaF uptake in OA exercised knees (SUV P < 0.001, KiP = 0.002, K1P < 0.001) that differed by bone region. CONCLUSION There were regional differences in the acute bone metabolic response to exercise and areas of focally large changes in the metabolic bone response that might be representative of whole-joint dysfunction.
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Affiliation(s)
- L E Watkins
- Department of Radiology, Stanford University, Stanford CA, USA
| | | | - J W MacKay
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - J Baker
- Department of Radiology, Stanford University, Stanford CA, USA
| | - S D Uhlrich
- Department of Mechanical Engineering, Stanford University, Stanford CA, USA
| | - V Mazzoli
- Department of Radiology, Stanford University, Stanford CA, USA
| | - G E Gold
- Department of Radiology, Stanford University, Stanford CA, USA
| | - F Kogan
- Department of Radiology, Stanford University, Stanford CA, USA.
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10
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Park PSU, McDonald E, Singh SB, Raynor WY, Werner TJ, Høilund-Carlsen PF, Alavi A. The effects of limb laterality and age on the inflammation and bone turnover of the acromioclavicular shoulder joint: 18 F-fluorodeoxyglucose and 18 F-sodium-fluoride-PET/computed tomography study. Nucl Med Commun 2022; 43:922-927. [PMID: 35634806 DOI: 10.1097/mnm.0000000000001588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE The acromioclavicular (AC) joint is a common site of injury and degenerative changes such as osteoarthritis (OA) of the shoulder. Physical manifestations of OA are preceded by molecular changes, detection of which may enhance early prophylaxis and monitoring of disease progression. In this study, we investigate the use of 18 F-FDG and 18 F-NaF-PET/CT to assess the effects of limb laterality and age on the inflammation and bone turnover of the AC shoulder joint. METHODS We analyzed FDG and NaF-PET/CT scans of 41 females (mean age of 43.9 ± 14.2 years) and 45 males (mean age of 44.5 ± 13.8 years) using a semiquantitative technique based on predefined ROI. RESULTS There was a greater NaF uptake in the right side of the AC joint compared with the left in both females (left: 2.22 ± 1.00; right: 3.08 ± 1.18; P < 0.0001) and males (left: 2.57 ± 1.49; right: 2.99 ± 1.40; P = 0.003). No consistent correlation between age and NaF or FDG uptakes were found in both females and males. There was also a positive correlation between FDG and NaF uptakes in both left ( P = 0.01; r = 0.37) and right ( P = 0.0006; r = 0.53) AC joints of male subjects. CONCLUSION Our study is the first to reveal the varying effect of right-left limb laterality and aging on FDG and NaF uptake at the AC joint. Future studies correlating the history of shoulder trauma, pain, and degenerative change with FDG and NaF-PET/CT findings will be critical in the adoption of molecular imaging in the clinical setting.
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Affiliation(s)
- Peter Sang Uk Park
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elysia McDonald
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Shashi Bhushan Singh
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - William Y Raynor
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Poul Flemming Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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11
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Sannajust K, Spriet M, Anishchenko S, Beylin D. Standardized uptake values and attenuation correction in
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F‐sodium fluoride PET of the equine foot and fetlock. Vet Radiol Ultrasound 2022; 63:771-778. [DOI: 10.1111/vru.13127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Kimberley Sannajust
- School of Veterinary Medicine University of California Davis Davis California USA
| | - Mathieu Spriet
- School of Veterinary Medicine University of California Davis Davis California USA
| | - Sergey Anishchenko
- LONGMILE Veterinary Imaging Brain Biosciences Inc. Rockville Maryland USA
| | - David Beylin
- LONGMILE Veterinary Imaging Brain Biosciences Inc. Rockville Maryland USA
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12
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Teoh YX, Lai KW, Usman J, Goh SL, Mohafez H, Hasikin K, Qian P, Jiang Y, Zhang Y, Dhanalakshmi S. Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:4138666. [PMID: 35222885 PMCID: PMC8881170 DOI: 10.1155/2022/4138666] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/24/2022] [Accepted: 01/26/2022] [Indexed: 12/30/2022]
Abstract
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that can be captured by imaging modalities and translated into imaging features. Observing imaging features is a well-known objective assessment for knee OA disorder. However, the variety of imaging features is rarely discussed. This study reviews knee OA imaging features with respect to different imaging modalities for traditional OA diagnosis and updates recent image-based machine learning approaches for knee OA diagnosis and prognosis. Although most studies recognized X-ray as standard imaging option for knee OA diagnosis, the imaging features are limited to bony changes and less sensitive to short-term OA changes. Researchers have recommended the usage of MRI to study the hidden OA-related radiomic features in soft tissues and bony structures. Furthermore, ultrasound imaging features should be explored to make it more feasible for point-of-care diagnosis. Traditional knee OA diagnosis mainly relies on manual interpretation of medical images based on the Kellgren-Lawrence (KL) grading scheme, but this approach is consistently prone to human resource and time constraints and less effective for OA prevention. Recent studies revealed the capability of machine learning approaches in automating knee OA diagnosis and prognosis, through three major tasks: knee joint localization (detection and segmentation), classification of OA severity, and prediction of disease progression. AI-aided diagnostic models improved the quality of knee OA diagnosis significantly in terms of time taken, reproducibility, and accuracy. Prognostic ability was demonstrated by several prediction models in terms of estimating possible OA onset, OA deterioration, progressive pain, progressive structural change, progressive structural change with pain, and time to total knee replacement (TKR) incidence. Despite research gaps, machine learning techniques still manifest huge potential to work on demanding tasks such as early knee OA detection and estimation of future disease events, as well as fundamental tasks such as discovering the new imaging features and establishment of novel OA status measure. Continuous machine learning model enhancement may favour the discovery of new OA treatment in future.
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Affiliation(s)
- Yun Xin Teoh
- Department of Biomedical Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Khin Wee Lai
- Department of Biomedical Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Juliana Usman
- Department of Biomedical Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Siew Li Goh
- Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Hamidreza Mohafez
- Department of Biomedical Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Khairunnisa Hasikin
- Department of Biomedical Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Pengjiang Qian
- School of Artificial Intelligence and Computer Sciences, Jiangnan University, Wuxi 214122, China
| | - Yizhang Jiang
- School of Artificial Intelligence and Computer Sciences, Jiangnan University, Wuxi 214122, China
| | - Yuanpeng Zhang
- Department of Medical Informatics of Medical (Nursing) School, Nantong University, Nantong 226001, China
| | - Samiappan Dhanalakshmi
- Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur 603203, India
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Assiri R, Knapp K, Fulford J, Chen J. Correlation of the quantitative methods for the measurement of bone uptake and plasma clearance of 18F-NaF using positron emission tomography. Systematic review and meta-analysis. Eur J Radiol 2021; 146:110081. [PMID: 34911006 DOI: 10.1016/j.ejrad.2021.110081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 11/16/2021] [Accepted: 11/27/2021] [Indexed: 01/08/2023]
Abstract
PURPOSE 18F-NaF PET is valuable for detecting bone metabolism through osteoblastic activity in the assessment of bone disease. Hawkins, Patlak, and standardised uptake value (SUV) are the most common quantitative measurements used to evaluate bone metabolism. This systematic review evaluates the correlation between quantitative positron emission tomography (PET) methods and to compare their precision. METHODS A systematic search in Medline, PubMed, SCOPUS, and Web of Science was undertaken to find relevant papers published from 2000. All studies with human adults undergoing 18F-NaF PET, PET/CT, or PET/MRI were included except for subjects diagnosed with non-diffuse metabolic bone disease or malignancy. Quality Assessment Tool for Studies of Diverse Designs (QATSDD) was used to assess risk of bias. A qualitative review and meta-analysis using Hedges random-effect model was used producing summary size effects of the correlation between methods in healthy and unhealthy bone sites and assessing study heterogeneity. RESULTS 228 healthy and unhealthy participants were included across 12 studies resulted from the systematic search. One-third of studies had a moderate quality percentage while the rest had relatively high quality. The pooled correlation coefficient in meta-analysis showed a high correlation of more than 0.88 (0.71-1.05. 95 %CI) between SUV and Hawkins and more than 0.96 (0.88-1.03. 95 %CI) between Patlak and Hawkins within all subgroups, suggesting all methods yield similar results in healthy and unhealthy bone sites. SUV has the lowest precision error followed by Patlak while Hawkins method showed the highest precision error. CONCLUSION Patlak is the best within research and SUV is better within clinical practice.
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Affiliation(s)
- Rajeh Assiri
- Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia.
| | - Karen Knapp
- Department of Medical Imaging, Medical School, The University of Exeter, South Cloisters, University of Exeter, St Luke's Campus, Heavitree Road, Exeter EX1 2LU, UK.
| | - Jon Fulford
- Medical School, The University of Exeter, Medical School Building, St Luke's Campus, Magdalen Road, Exeter EX1 2LU, UK.
| | - Junning Chen
- College of Engineering, Mathematics and Physical Sciences, The University of Exeter, UK.
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14
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Salles S, Shepherd J, Vos HJ, Renaud G. Revealing Intraosseous Blood Flow in the Human Tibia With Ultrasound. JBMR Plus 2021; 5:e10543. [PMID: 34761147 PMCID: PMC8567494 DOI: 10.1002/jbm4.10543] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 08/23/2021] [Indexed: 11/18/2022] Open
Abstract
Intraosseous blood circulation is thought to have a critical role in bone growth and remodeling, fracture healing, and bone disorders. However, it is rarely considered in clinical practice because of the absence of a suitable noninvasive in vivo measurement technique. In this work, we assessed blood perfusion in tibial cortical bone simultaneously with blood flow in the superficial femoral artery with ultrasound imaging in five healthy volunteers. After suppression of stationary signal with singular‐value‐decomposition, pulsatile blood flow in cortical bone tissue is revealed, following the heart rate measured in the femoral artery. Using a method combining transverse oscillations and phase‐based motion estimation, 2D vector flow was obtained in the cortex of the tibia. After spatial averaging over the cortex, the peak blood velocity along the long axis of the tibia was measured at four times larger than the peak blood velocity across the bone cortex. This suggests that blood flow in central (Haversian) canals is larger than in perforating (Volkmann's) canals, as expected from the intracortical vascular organization in humans. The peak blood velocity indicates a flow from the endosteum to the periosteum and from the heart to the foot for all subjects. Because aging and the development of bone disorders are thought to modify the direction and velocity of intracortical blood flow, their quantification is crucial. This work reports for the first time an in vivo quantification of the direction and velocity of blood flow in human cortical bone. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Sébastien Salles
- Laboratoire d'Imagerie Biomédicale Sorbonne Université, Centre National de la Recherche Scientifique (CNRS) Unités Mixtes de Recherche (UMR) 7371, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR S 1146 Paris France
| | - Jami Shepherd
- Laboratoire d'Imagerie Biomédicale Sorbonne Université, Centre National de la Recherche Scientifique (CNRS) Unités Mixtes de Recherche (UMR) 7371, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR S 1146 Paris France.,Dodd-Walls Centre for Photonic and Quantum Technologies, Department of Physics University of Auckland Auckland New Zealand
| | - Hendrik J Vos
- Department of Cardiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - Guillaume Renaud
- Laboratoire d'Imagerie Biomédicale Sorbonne Université, Centre National de la Recherche Scientifique (CNRS) Unités Mixtes de Recherche (UMR) 7371, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR S 1146 Paris France.,Department of Imaging Physics Delft University of Technology Delft The Netherlands
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15
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Tse JJ, Smith ACJ, Kuczynski MT, Kaketsis DA, Manske SL. Advancements in Osteoporosis Imaging, Screening, and Study of Disease Etiology. Curr Osteoporos Rep 2021; 19:532-541. [PMID: 34292468 DOI: 10.1007/s11914-021-00699-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/03/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The purpose of this review is to inform researchers and clinicians with the most recent imaging techniques that are employed (1) to opportunistically screen for osteoporosis and (2) to provide a better understanding into the disease etiology of osteoporosis. RECENT FINDINGS Phantomless calibration techniques for computed tomography (CT) may pave the way for better opportunistic osteoporosis screening and the retroactive analysis of imaging data. Additionally, hardware advances are enabling new applications of dual-energy CT and cone-beam CT to the study of bone. Advances in MRI sequences are also improving imaging evaluation of bone properties. Finally, the application of image registration techniques is enabling new uses of imaging to investigate soft tissue-bone interactions as well as bone turnover. While DXA remains the most prominent imaging tool for osteoporosis diagnosis, new imaging techniques are becoming more widely available and providing additional information to inform clinical decision-making.
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Affiliation(s)
- Justin J Tse
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Ainsley C J Smith
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Michael T Kuczynski
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Daphne A Kaketsis
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Sarah L Manske
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada.
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.
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16
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Kwee TC, Kwee RM. Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence. Insights Imaging 2021; 12:88. [PMID: 34185175 PMCID: PMC8241957 DOI: 10.1186/s13244-021-01031-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/08/2021] [Indexed: 12/13/2022] Open
Abstract
Objective To determine the anticipated contribution of recently published medical imaging literature, including artificial intelligence (AI), on the workload of diagnostic radiologists. Methods This study included a random sample of 440 medical imaging studies published in 2019. The direct contribution of each study to patient care and its effect on the workload of diagnostic radiologists (i.e., number of examinations performed per time unit) was assessed. Separate analyses were done for an academic tertiary care center and a non-academic general teaching hospital. Results In the academic tertiary care center setting, 65.0% (286/440) of studies could directly contribute to patient care, of which 48.3% (138/286) would increase workload, 46.2% (132/286) would not change workload, 4.5% (13/286) would decrease workload, and 1.0% (3/286) had an unclear effect on workload. In the non-academic general teaching hospital setting, 63.0% (277/240) of studies could directly contribute to patient care, of which 48.7% (135/277) would increase workload, 46.2% (128/277) would not change workload, 4.3% (12/277) would decrease workload, and 0.7% (2/277) had an unclear effect on workload. Studies with AI as primary research area were significantly associated with an increased workload (p < 0.001), with an odds ratio (OR) of 10.64 (95% confidence interval (CI) 3.25–34.80) in the academic tertiary care center setting and an OR of 10.45 (95% CI 3.19–34.21) in the non-academic general teaching hospital setting. Conclusions Recently published medical imaging studies often add value to radiological patient care. However, they likely increase the overall workload of diagnostic radiologists, and this particularly applies to AI studies. Supplementary Information The online version contains supplementary material available at 10.1186/s13244-021-01031-4.
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Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen, Sittard-Geleen, The Netherlands
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17
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Watkins L, MacKay J, Haddock B, Mazzoli V, Uhlrich S, Gold G, Kogan F. Assessment of quantitative [ 18F]Sodium fluoride PET measures of knee subchondral bone perfusion and mineralization in osteoarthritic and healthy subjects. Osteoarthritis Cartilage 2021; 29:849-858. [PMID: 33639259 PMCID: PMC8159876 DOI: 10.1016/j.joca.2021.02.563] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 01/06/2021] [Accepted: 02/01/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Molecular information derived from dynamic [18F]sodium fluoride ([18F]NaF) PET imaging holds promise as a quantitative marker of bone metabolism. The objective of this work was to evaluate physiological mechanisms of [18F]NaF uptake in subchondral bone of individuals with and without knee osteoarthritis (OA). METHODS Eleven healthy volunteers and twenty OA subjects were included. Both knees of all subjects were scanned simultaneously using a 3T hybrid PET/MRI system. MRI MOAKS assessment was performed to score the presence and size of osteophytes, bone marrow lesions, and cartilage lesions. Subchondral bone kinetic parameters of bone perfusion (K1), tracer extraction fraction, and total tracer uptake into bone (Ki) were evaluated using the Hawkins 3-compartment model. Measures were compared between structurally normal-appearing bone regions and those with structural findings. RESULTS Mean and maximum SUV and kinetic parameters Ki, K1, and extraction fraction were significantly different between Healthy subjects and subjects with OA. Between-group differences in metabolic parameters were observed both in regions where the OA group had degenerative changes as well as in regions that appeared structurally normal. CONCLUSIONS Results suggest that bone metabolism is altered in OA subjects, including bone regions with and without structural findings, compared to healthy subjects. Kinetic parameters of [18F]NaF uptake in subchondral bone show potential to quantitatively evaluate the role of bone physiology in OA initiation and progression. Objective measures of bone metabolism from [18F]NaF PET imaging can complement assessments of structural abnormalities observed on MRI.
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Affiliation(s)
- L Watkins
- Department of Bioengineering, Stanford University, Stanford CA, USA; Department of Radiology, Stanford University, Stanford CA, USA.
| | - J MacKay
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom; Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | | | - V Mazzoli
- Department of Radiology, Stanford University, Stanford CA, USA
| | - S Uhlrich
- Department of Mechanical Engineering, Stanford University, Stanford CA, USA
| | - G Gold
- Department of Bioengineering, Stanford University, Stanford CA, USA; Department of Radiology, Stanford University, Stanford CA, USA
| | - F Kogan
- Department of Radiology, Stanford University, Stanford CA, USA
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18
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Hong H, Ploessl K, Zha Z, Wang H, Guo R, Xie Q, Zhu H, Yang Z, Zhu L, Kung HF. Development and validation of a kit formulation of [ 68Ga]Ga-P15-041 as a bone imaging agent. Appl Radiat Isot 2020; 169:109485. [PMID: 33360838 DOI: 10.1016/j.apradiso.2020.109485] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/28/2020] [Accepted: 10/16/2020] [Indexed: 10/22/2022]
Abstract
One of the commonly performed studies in nuclear medicine are bone scans with [99mTc]Tc-methylene diphosphonate (MDP) for detecting various bone lesions, including cancer metastasis. The recent emergence of commercially available 68Ge/68Ga radionuclide generators makes it possible to provide 68Ga-labelled bisphosphonates as positron emission tomography (PET) tracers for bone imaging. Preliminary human studies suggested that [68Ga]Ga-HBED-CC-BP ([68Ga]Ga-P15-041) in conjunction with PET/computed tomography (CT) showed accumulation in known bone lesions, fast clearance from blood and soft tissue, and an ability to provide high contrast images. A simple and efficient lyophilized P15-041 kit formulation for the rapid production of [68Ga]Ga-P15-041 with excellent radiochemical purity (RCP) under ambient temperature without the need for purification is described. It is demonstrated that clinical doses of [68Ga]Ga-P15-041 can be prepared manually within minutes with an excellent purity (> 90%) and readily meet the dose release criteria. When [68Ga]Ga-P15-041 was evaluated in a patient with cancer, the imaging agent clearly showed accumulations in multiple lesions. In conclusion, [68Ga]Ga-P15-041, prepared by a lyophilized kit, might be an excellent bone imaging agent for widespread clinical application.
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Affiliation(s)
- Haiyan Hong
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Karl Ploessl
- Five Eleven Pharma Inc., Philadelphia, PA, 19104, USA
| | - Zhihao Zha
- Five Eleven Pharma Inc., Philadelphia, PA, 19104, USA
| | - Hui Wang
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
| | - Rui Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Qing Xie
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Hua Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Lin Zhu
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China.
| | - Hank F Kung
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA; Five Eleven Pharma Inc., Philadelphia, PA, 19104, USA.
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19
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Tibrewala R, Pedoia V, Bucknor M, Majumdar S. Principal Component Analysis of Simultaneous PET-MRI Reveals Patterns of Bone-Cartilage Interactions in Osteoarthritis. J Magn Reson Imaging 2020; 52:1462-1474. [PMID: 32207870 PMCID: PMC11090497 DOI: 10.1002/jmri.27146] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/02/2020] [Accepted: 03/03/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Bone-cartilage interactions have been implicated in causing osteoarthritis (OA). PURPOSE To use [18 F]-NaF PET-MRI to 1) develop automatic image processing code in MatLab to create a model of bone-cartilage interactions and 2) find associations of bone-cartilage interactions with known manifestations of OA. STUDY TYPE Prospective study aimed to evaluate a data analysis method. POPULATION Twenty-nine patients with knee pain or joint stiffness. FIELD STRENGTH/SEQUENCE 3T MRI (GE), 3D CUBE FSE, 3D combined T1 ρ/T2 MAPSS, [18F]-sodium fluoride, SIGNA TOF (OSEM). ASSESSMENT Correlation between MRI (cartilage) and PET (bone) quantitative parameters, bone-cartilage interactions model described by modes of variation as derived by principal component analysis (PCA), WORMS scoring on cartilage lesions, bone marrow abnormalities, subchondral cysts. STATISTICAL TESTS Linear regression, Pearson correlation. RESULTS Mode 1 was a positive predictor of the bone abnormality score (P = 0.0003, P = 0.001, P = 0.0007) and the cartilage lesion score (P = 0.03, P = 0.01, P = 0.02) in the femur, tibia, and patella, respectively. For the cartilage lesion scores, mode 5 was the most important positive predictor in the femur (P = 3.9E-06), and mode 2 were predictors, significant negative predictor in the tibia (P = 0.007). In the patella, mode 1 was a significant positive predictor of the bone abnormality score (P = 0.0007). DATA CONCLUSION By successfully building an automatic code to create a bone-cartilage interface, we were able to observe dynamic relationships between biochemical changes in the cartilage accompanied with bone remodeling, extended to the whole knee joint instead of simple colocalized observations, shedding light on the interactions that occur between bone and cartilage in OA. Evidence Level: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2020;52:1462-1474.
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Affiliation(s)
- Radhika Tibrewala
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Valentina Pedoia
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Matthew Bucknor
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Sharmila Majumdar
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
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20
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Haddock B, Hansen SK, Lindberg U, Nielsen JL, Frandsen U, Aagaard P, Larsson HBW, Suetta C. Physiological responses of human skeletal muscle to acute blood flow restricted exercise assessed by multimodal MRI. J Appl Physiol (1985) 2020; 129:748-759. [PMID: 32853108 DOI: 10.1152/japplphysiol.00171.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Important physiological quantities for investigating muscle hypertrophy include blood oxygenation, cell swelling, and changes in blood flow. The purpose of this study was to compare the acute changes of these parameters in human skeletal muscle induced by low-load (20% 1-RM) blood flow-restricted (BFR-20) knee extensor exercise compared with free-flow work-matched (FF-20WM) and free-flow 50% 1-RM (FF-50) knee extensor exercise using multimodal magnetic resonance imaging (MRI). Subjects (n = 11) completed acute exercise sessions for each exercise mode in an MRI scanner, where interleaved measures of muscle R2 (indicator of edema), [Formula: see text] (indicator of deoxyhemoglobin), macrovascular blood flow, and diffusion were performed before, between sets, and after the final set for each exercise protocol. BFR-20 exercise resulted in larger acute decreases in R2 and greater increases in cross-sectional area than FF-20WM and FF-50 (P < 0.01). Blood oxygenation decreased between sets during BFR-20, as indicated by a 13.6% increase in [Formula: see text] values (P < 0.01)), whereas they remained unchanged for FF-20WM and decreased during FF-50 exercise. Quadriceps blood flow between sets was highest for the heavier load (FF-50), averaging 305 mL/min, and lowest for BFR-20 at 123 ± 73 mL/min until post-exercise cuff release, where blood flow rates in BFR-20 exceeded both FF protocols (P < 0.01). Acute changes in diffusion rates were similar for all exercise protocols. This study was able to differentiate the acute exercise response of selected physiological factors associated with skeletal muscle hypertrophy. Marked differences in these parameters were found to exist between BFR and FF exercise conditions, which contribute to explain the anabolic potential of low-load blood flow restricted muscle exercise.NEW & NOTEWORTHY Acute changes in blood flow, diffusion, blood oxygenation, cross-sectional area, and the "T2 shift" are evaluated in human skeletal muscle in response to blood flow-restricted (BFR) and conventional free-flow knee extensor exercise performed in an MRI scanner. The acute physiological response to exercise was dependent on the magnitude of load and the application of BFR. Physiological variables changed markedly and established a steady state rapidly after the first of four exercise sets.
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Affiliation(s)
- Bryan Haddock
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Sofie K Hansen
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Geriatric Research Unit, Bispebjerg-Frederiksberg and Herlev-Gentofte Hospitals, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ulrich Lindberg
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jakob Lindberg Nielsen
- Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Ulrik Frandsen
- Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Per Aagaard
- Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Henrik B W Larsson
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Charlotte Suetta
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Geriatric Research Unit, Bispebjerg-Frederiksberg and Herlev-Gentofte Hospitals, Copenhagen University Hospital, Copenhagen, Denmark
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21
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Viggers R, Al-Mashhadi Z, Fuglsang-Nielsen R, Gregersen S, Starup-Linde J. The Impact of Exercise on Bone Health in Type 2 Diabetes Mellitus-a Systematic Review. Curr Osteoporos Rep 2020; 18:357-370. [PMID: 32529455 DOI: 10.1007/s11914-020-00597-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW Type 2 diabetes mellitus (T2DM) is associated with an increased fracture risk. Weight loss in T2DM management may result in lowering of bone mass. In this systematic literature review, we aimed to investigate how exercise affects bone health in people with T2DM. Furthermore, we examined the types of exercise with the potential to prevent and treat bone fragility in people with T2DM. RECENT FINDINGS Exercise differs in type, mechanical load, and intensity, as does the osteogenic response to exercise. Aerobic exercise improves metabolic health in people with T2DM. However, the weight-bearing component of exercise is essential to bone health. Weight loss interventions in T2DM induce a loss of bone mass that may be attenuated if accompanied by resistance or weight-bearing exercise. Combination of weight-bearing aerobic and resistance exercise seems to be preventive against excessive bone loss in people with T2DM. However, evidence is sparse and clinical trials investigating the effects of exercise on bone health in people with T2DM are warranted.
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Affiliation(s)
- R Viggers
- Steno Diabetes Center North Jutland, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark.
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Z Al-Mashhadi
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus C, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus C, Denmark
| | - R Fuglsang-Nielsen
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus C, Denmark
- Department of Internal Medicine, Regional Hospital Randers, Randers, Denmark
| | - S Gregersen
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus C, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus C, Denmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus C, Denmark
| | - J Starup-Linde
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus C, Denmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus C, Denmark
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