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Chevalier B, Bedretdinova D, Pellot-Barakat C, Maître X, Creze M. Evaluation of the Reproducibility of MR Elastography Measurements of the Lumbar Back Muscles. J Magn Reson Imaging 2024; 60:1037-1048. [PMID: 38100302 DOI: 10.1002/jmri.29178] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND MR elastography (MRE) may provide quantitative imaging biomarkers of lumbar back muscles (LBMs), complementing MRI in spinal diseases by assessing muscle mechanical properties. However, reproducibility analyses for MRE of LBM are lacking. PURPOSE To assess technical failure, within-day and inter-day reproducibility, robustness with the excitation source positioning, and inter-observer agreement of MRE of muscles. STUDY TYPE Prospective. SUBJECTS Seventeen healthy subjects (mean age 28 ± 4 years; 11 females). FIELD STRENGTH/SEQUENCE 1.5 T, gradient-echo MRE, T1-weighted turbo spin echo. ASSESSMENT The pneumatic driver was centered at L3 level. Four MRE were performed during two visits, 2-4 weeks apart, each consisting of two MRE with less than 10 minutes inter-scan interval. At Visit 1, after the first MRE, the coil and driver were removed, then reinstalled. The MRE was repeated. At Visit 2, following the first MRE, only the driver was moved down 5 cm. The MRE was repeated. Two radiologists segmented the multifidus and erector spinae muscles. STATISTICAL TESTS Paired t-test, analysis of variance, intraclass correlation coefficients (ICCs). P-values <0.05 were considered statistically significant. RESULTS Mean stiffness of LBM ranged from 1.44 to 1.60 kPa. Mean technical failure rate was 2.5%. Inter-observer agreement was excellent (ICC ranging from 0.82 [0.64-0.96] to 0.99 [0.98-0.99] in the multifidus, and from 0.85 [0.69-0.92] to 0.99 [0.97-0.99] in the erector spinae muscles). Within-day reproducibility was fair in the multifidus (ICC: 0.53 [0.47-0.77]) and good in the erector spinae muscles (ICC: 0.74 [0.48-0.88]). Reproducibility after moving the driver was excellent in both multifidus (ICC: 0.85 [0.69-0.93]) and erector spinae muscles (ICC: 0.84 [0.67-0.92]). Inter-day reproducibility was excellent in the multifidus (ICC: 0.76 [0.48-0.89]) and poor in the erector spinae muscles (ICC: 0.23 [-0.61 to 0.63]). DATA CONCLUSION MRE of LBM provides measurements of stiffness with fair to excellent reproducibility and excellent inter-observer agreement. However, inter-day reproducibility in the multifidus muscles indicated that the herein used MRE protocol may not be optimal for this muscle. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Benjamin Chevalier
- Department of Radiology, Cochin Hospital, Université Paris Cité, APHP, Paris, France
| | - Dina Bedretdinova
- Center for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Paris, France
| | - Claire Pellot-Barakat
- Laboratoire d'Imagerie Biomédicale Multimodale, BIOMAPS, Université Paris-Saclay, Service Hospitalier Frederic Joliot, Orsay, France
| | - Xavier Maître
- Laboratoire d'Imagerie Biomédicale Multimodale, BIOMAPS, Université Paris-Saclay, Service Hospitalier Frederic Joliot, Orsay, France
| | - Maud Creze
- Laboratoire d'Imagerie Biomédicale Multimodale, BIOMAPS, Université Paris-Saclay, Service Hospitalier Frederic Joliot, Orsay, France
- Department of Radiology, Bicêtre Hospital, Université Paris-Saclay, APHP, Le Kremlin Bicêtre, France
- Arts et Métiers Institute of Technology, Université Sorbonne Paris Nord, IBHGC - Institut de Biomécanique Humaine Georges Charpak, HESAM Université, Paris, France
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Wu Y, Barrere V, Ashir A, Han A, Chen X, Jerban S, Murphy ME, Andre MP, Shah SB, Chang EY. High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility. ULTRASONIC IMAGING 2024; 46:56-70. [PMID: 37981826 PMCID: PMC11170563 DOI: 10.1177/01617346231207404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in both control and pathological subjects, even when operators were free to adjust system settings (depth, level of focus, and time-gain compensation). Measurements were repeatable and reproducible across the different operators and ultrasound imaging platforms. In contrast, grayscale and GLCM analyses were found to be less reliable in this setting, with significant measurement variability. Overall, the repeatability and reproducibility measurements of BSC indicate its potential as a diagnostic tool for rotator cuff muscle evaluation.
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Affiliation(s)
- Yuanshan Wu
- Department of Bioengineering, University of California, San Diego, United States
- Department of Orthopaedic Surgery, University of California, San Diego, United States
| | - Victor Barrere
- Department of Orthopaedic Surgery, University of California, San Diego, United States
- Research Service, VA San Diego Healthcare System, San Diego, United States
| | - Aria Ashir
- Department of Radiology, Santa Barbara Cottage Hospital, Santa Barbara, United States
| | - Aiguo Han
- Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, United States
| | - Xiaojun Chen
- Department of Radiology, University of California, San Diego, United States
- Fifth Affiliated Hospital of Sun Yat-sen University, Radiology, Zhu Hai, China
| | - Saeed Jerban
- Research Service, VA San Diego Healthcare System, San Diego, United States
- Department of Radiology, University of California, San Diego, United States
| | - Mark E. Murphy
- Orthopaedic Surgery Service, VA San Diego Healthcare System
| | - Michael P. Andre
- Research Service, VA San Diego Healthcare System, San Diego, United States
- Department of Radiology, University of California, San Diego, United States
| | - Sameer B. Shah
- Department of Bioengineering, University of California, San Diego, United States
- Department of Orthopaedic Surgery, University of California, San Diego, United States
- Research Service, VA San Diego Healthcare System, San Diego, United States
| | - Eric Y. Chang
- Research Service, VA San Diego Healthcare System, San Diego, United States
- Department of Radiology, University of California, San Diego, United States
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Hayashi D, Roemer FW, Tol JL, Heiss R, Crema MD, Jarraya M, Rossi I, Luna A, Guermazi A. Emerging Quantitative Imaging Techniques in Sports Medicine. Radiology 2023; 308:e221531. [PMID: 37552087 DOI: 10.1148/radiol.221531] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
This article describes recent advances in quantitative imaging of musculoskeletal extremity sports injuries, citing the existing literature evidence and what additional evidence is needed to make such techniques applicable to clinical practice. Compositional and functional MRI techniques including T2 mapping, diffusion tensor imaging, and sodium imaging as well as contrast-enhanced US have been applied to quantify pathophysiologic processes and biochemical compositions of muscles, tendons, ligaments, and cartilage. Dual-energy and/or spectral CT has shown potential, particularly for the evaluation of osseous and ligamentous injury (eg, creation of quantitative bone marrow edema maps), which is not possible with standard single-energy CT. Recent advances in US technology such as shear-wave elastography or US tissue characterization as well as MR elastography enable the quantification of mechanical, elastic, and physical properties of tissues in muscle and tendon injuries. The future role of novel imaging techniques such as photon-counting CT remains to be established. Eventual prediction of return to play (ie, the time needed for the injury to heal sufficiently so that the athlete can get back to playing their sport) and estimation of risk of repeat injury is desirable to help guide sports physicians in the treatment of their patients. Additional values of quantitative analyses, as opposed to routine qualitative analyses, still must be established using prospective longitudinal studies with larger sample sizes.
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Affiliation(s)
- Daichi Hayashi
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Frank W Roemer
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Johannes L Tol
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Rafael Heiss
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Michel D Crema
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Mohamed Jarraya
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Ignacio Rossi
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Antonio Luna
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
| | - Ali Guermazi
- From the Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.); Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Mass (D.H., F.W.R., M.D.C., A.G.); Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (F.W.R., R.H.); University of Amsterdam Academic Center for Evidence-based Sports Medicine, Amsterdam, the Netherlands (J.L.T.); Institute of Sports Imaging, French National Institute of Sports, Paris, France (M.D.C.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (M.J.); Centro Rossi, Buenos Aires, Argentina (I.R.); Department of Radiology, HT Medica, Jaén, Spain (A.L.); and Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.)
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