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Forsting J, Rehmann R, Rohm M, Kocabas A, De Lorenzo A, Güttsches AK, Vorgerd M, Froeling M, Schlaffke L. Prospective longitudinal cohort study of quantitative muscle magnetic resonance imaging in a healthy control population. NMR IN BIOMEDICINE 2024; 37:e5214. [PMID: 38982853 DOI: 10.1002/nbm.5214] [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] [Received: 01/23/2024] [Revised: 06/03/2024] [Accepted: 06/18/2024] [Indexed: 07/11/2024]
Abstract
Quantitative muscle magnetic resonance imaging (qMRI) is a valuable methodology for assessing muscular injuries and neuromuscular disorders. Notably, muscle diffusion tensor imaging (DTI) gives insights into muscle microstructural and macrostructural characteristics. However, the long-term reproducibility and robustness of these measurements remain relatively unexplored. The purpose of this prospective longitudinal cohort study was to assess the long-term robustness and range of variation of qMRI parameters, especially DTI metrics, in the lower extremity muscles of healthy controls under real-life conditions. Twelve volunteers (seven females, age 44.1 ± 12.1 years, body mass index 23.3 ± 2.0 kg/m2) underwent five leg muscle MRI sessions every 20 ± 4 weeks over a total period of 1.5 years. A multiecho gradient-echo Dixon-based sequence, a multiecho spin-echo T2-mapping sequence, and a spin-echo echo planar imaging diffusion-weighted sequence were acquired bilaterally with a Philips 3-T Achieva MR System using a 16-channel torso coil. Fifteen leg muscles were segmented in both lower extremities. qMRI parameters, including fat fraction (FF), water T2 relaxation time, and the diffusion metrics fractional anisotropy (FA) and mean diffusivity (MD), were evaluated. Coefficients of variance (wsCV) and intraclass correlation coefficients (ICCs) were calculated to assess the reproducibility of qMRI parameters. The standard error of measurement (SEM) and the minimal detectable change (MDC) were calculated to determine the range of variation. All tests were applied to all muscles and, subsequently, to each muscle separately. wsCV showed good reproducibility (≤ 10%) for all qMRI parameters in all muscles. The ICCs revealed excellent agreement between time points (FF = 0.980, water T2 = 0.941, FA = 0.952, MD = 0.948). Random measurement errors assessed by SEM and the MDC were low (< 12%). In conclusion, in this study, we showed that qMRI parameters in healthy volunteers living normal lives are stable over 18 months, thereby defining a benchmark for the expected range of variation over time.
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Affiliation(s)
- Johannes Forsting
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Robert Rehmann
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
- Department of Neurology, Klinikum Dortmund, University Witten-Herdecke, Dortmund, Germany
| | - Marlena Rohm
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
- Heimer Institute for Muscle Research, BG-University Hospital Bergmannsheil, Bochum, Germany
| | - Abdulhadi Kocabas
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Alice De Lorenzo
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Anne-Katrin Güttsches
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Matthias Vorgerd
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
- Heimer Institute for Muscle Research, BG-University Hospital Bergmannsheil, Bochum, Germany
| | - Martijn Froeling
- Department of Radiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Lara Schlaffke
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
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Caldas de Almeida Araujo E, Barthélémy I, Fromes Y, Baudin PY, Blot S, Reyngoudt H, Marty B. Comprehensive quantitative magnetic resonance imaging assessment of skeletal muscle pathophysiology in golden retriever muscular dystrophy: Insights from multicomponent water T2 and extracellular volume fraction. NMR IN BIOMEDICINE 2024:e5278. [PMID: 39434514 DOI: 10.1002/nbm.5278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 10/08/2024] [Accepted: 10/10/2024] [Indexed: 10/23/2024]
Abstract
Quantitative MRI and MRS have become important tools for the assessment and management of patients with neuromuscular disorders (NMDs). Despite significant progress, there is a need for new objective measures with improved specificity to the underlying pathophysiological alteration. This would enhance our ability to characterize disease evolution and improve therapeutic development. In this study, qMRI methods that are commonly used in clinical studies involving NMDs, like water T2 (T2H2O) and T1 and fat-fraction (FF) mapping, were employed to evaluate disease activity and progression in the skeletal muscle of golden retriever muscular dystrophy (GRMD) dogs. Additionally, extracellular volume (ECV) fraction and single-voxel bicomponent water T2 relaxometry were included as potential markers of specific histopathological changes within the tissue. Apart from FF, which was not significantly different between GRMD and control dogs and showed no trend with age, T2H2O, T1, ECV, and the relative fraction of the long-T2 component, A2, were significantly elevated in GRMD dogs across all age ranges. Moreover, longitudinal assessment starting at 2 months of age revealed significant decreases in T2H2O, T1, ECV, A2, and the T2 of the shorter-T2 component, T21, in both control and GRMD dogs during their first year of life. Notably, insights from ECV and bicomponent water T2 indicate that (I) the elevated T2H2O and T1 values observed in dystrophic muscle are primarily driven by an expansion of the extracellular space, likely driven by the edematous component of inflammatory responses to tissue injury and (II) the significant decrease of T2H2O and T1 with age in control and GRMD dogs reflects primarily the progressive increase in fiber diameter and protein content during tissue development. Our study underscores the potential of multicomponent water T2 relaxometry and ECV to provide valuable insights into muscle pathology in NMDs.
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Affiliation(s)
| | - Inès Barthélémy
- Université Paris Est Créteil, INSERM, IMRB, Créteil, France; EnvA, IMRB, Maisons-Alfort, France
| | - Yves Fromes
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre-Yves Baudin
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Stéphane Blot
- Université Paris Est Créteil, INSERM, IMRB, Créteil, France; EnvA, IMRB, Maisons-Alfort, France
| | - Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
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Hooijmans MT, Schlaffke L, Bolsterlee B, Schlaeger S, Marty B, Mazzoli V. Compositional and Functional MRI of Skeletal Muscle: A Review. J Magn Reson Imaging 2024; 60:860-877. [PMID: 37929681 PMCID: PMC11070452 DOI: 10.1002/jmri.29091] [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] [Received: 08/18/2023] [Revised: 10/09/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
Due to its exceptional sensitivity to soft tissues, MRI has been extensively utilized to assess anatomical muscle parameters such as muscle volume and cross-sectional area. Quantitative Magnetic Resonance Imaging (qMRI) adds to the capabilities of MRI, by providing information on muscle composition such as fat content, water content, microstructure, hypertrophy, atrophy, as well as muscle architecture. In addition to compositional changes, qMRI can also be used to assess function for example by measuring muscle quality or through characterization of muscle deformation during passive lengthening/shortening and active contractions. The overall aim of this review is to provide an updated overview of qMRI techniques that can quantitatively evaluate muscle structure and composition, provide insights into the underlying biological basis of the qMRI signal, and illustrate how qMRI biomarkers of muscle health relate to function in healthy and diseased/injured muscles. While some applications still require systematic clinical validation, qMRI is now established as a comprehensive technique, that can be used to characterize a wide variety of structural and compositional changes in healthy and diseased skeletal muscle. Taken together, multiparametric muscle MRI holds great potential in the diagnosis and monitoring of muscle conditions in research and clinical applications. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Melissa T Hooijmans
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Lara Schlaffke
- Department of Neurology BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Bart Bolsterlee
- Neuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sarah Schlaeger
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Benjamin Marty
- Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France
| | - Valentina Mazzoli
- Department of Radiology, Stanford University, Stanford, California, USA
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Medical Center, New York, New York, USA
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Gu H, Hong J, Wang Z, Chen J, Yuan F, Jiang Y, Yang Y, Luo M, Zhang Z, He B, Huang Y, Sun L. Association of MRI findings with paraspinal muscles fat infiltration at lower lumbar levels in patients with chronic low back pain: a multicenter prospective study. BMC Musculoskelet Disord 2024; 25:549. [PMID: 39010020 PMCID: PMC11251387 DOI: 10.1186/s12891-024-07649-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 07/01/2024] [Indexed: 07/17/2024] Open
Abstract
OBJECTIVE In chronic low back pain (CLBP), the relationship between spinal pathologies and paraspinal muscles fat infiltration remains unclear. This study aims to evaluate the relationship between MRI findings and paraspinal muscles morphology and fat infiltration in CLBP patients by quantitative MRI. METHODS All the CLBP patients were enrolled from July 2021 to December 2022 in four medical institutions. The cross-sectional area (CSA) and proton density fat fraction (PDFF) of the multifidus (MF) and erector spinae (ES) muscles at the central level of the L4/5 and L5/S1 intervertebral discs were measured. MRI findings included degenerative lumbar spondylolisthesis (DLS), intervertebral disc degeneration (IVDD), facet arthrosis, disc bulge or herniation, and disease duration. The relationship between MRI findings and the paraspinal muscles PDFF and CSA in CLBP patients was analyzed. RESULTS A total of 493 CLBP patients were included in the study (198 females, 295 males), with an average age of 45.68 ± 12.91 years. Our research indicates that the number of MRI findings are correlated with the paraspinal muscles PDFF at the L4/5 level, but is not significant. Moreover, the grading of IVDD is the primary factor influencing the paraspinal muscles PDFF at the L4-S1 level (BES at L4/5=1.845, P < 0.05); DLS was a significant factor affecting the PDFF of MF at the L4/5 level (B = 4.774, P < 0.05). After including age, gender, and Body Mass Index (BMI) as control variables in the multivariable regression analysis, age has a significant positive impact on the paraspinal muscles PDFF at the L4-S1 level, with the largest AUC for ES PDFF at the L4/5 level (AUC = 0.646, cut-off value = 47.5), while males have lower PDFF compared to females. BMI has a positive impact on the ES PDFF only at the L4/5 level (AUC = 0.559, cut-off value = 24.535). CONCLUSION The degree of paraspinal muscles fat infiltration in CLBP patients is related to the cumulative or synergistic effects of multiple factors, especially at the L4/L5 level. Although age and BMI are important factors affecting the degree of paraspinal muscles PDFF in CLBP patients, their diagnostic efficacy is moderate.
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Affiliation(s)
- Heyi Gu
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jingrui Hong
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhongwei Wang
- Department of Radiology, Baoshan People's Hospital, Baoshan, China
| | - Jiaxin Chen
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Feng Yuan
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yuanming Jiang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yingjuan Yang
- Department of Radiology, Dali Bai Autonomous Prefecture People's Hospital, Dali, China
| | - Mingbin Luo
- Department of Radiology, Honghe State First People's Hospital, Honghe, China
| | - Zhenguang Zhang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
| | - Bo He
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
| | - Yilong Huang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
| | - Li Sun
- Department of Radiology, Honghe State First People's Hospital, Honghe, China.
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Byun H, Han D, Chun HJ, Lee SW. Multiparametric quantification of T1 and T2 relaxation time of bone metastasis in comparison with red or fatty bone marrow using magnetic resonance fingerprinting. Skeletal Radiol 2024; 53:1071-1080. [PMID: 38041749 DOI: 10.1007/s00256-023-04521-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/12/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023]
Abstract
OBJECTIVES To assess the T1 and T2 values of bone marrow lesions in spine and pelvis derived from magnetic resonance fingerprinting (MRF) and to evaluate the differences in values among bone metastasis, red marrow and fatty marrow. METHODS Sixty patients who underwent lumbar spine and pelvic MRI with magnetic resonance fingerprinting were retrospectively included. Among eligible patients, those with bone metastasis, benign red marrow deposition and normal fatty marrow were identified. Two radiologists independently measured the T1 and T2 values from metastatic bone lesions, fatty marrow, and red marrow deposition on three-dimensional-magnetic resonance fingerprinting. Intergroup comparison and interobserver agreement were analyzed. RESULTS T1 relaxation time was significantly higher in osteoblastic metastasis than in red marrow (1674.6 ± 436.3 vs 858.7 ± 319.5, p < .001). Intraclass correlation coefficients for T1 and T2 values were 0.96 (p < 0.001) and 0.83 (p < 0.001), respectively. T2 relaxation time of osteoblastic metastasis and red marrow deposition had no evidence of a difference (osteoblastic metastasis, 57.9 ± 25.0 vs red marrow, 58.0 ± 34.4, p = 0.45), as were the average T2 values of osteolytic metastasis and red marrow deposition (osteolytic metastasis, 45.3 ± 15.1 vs red marrow, 58.0 ± 34.4, p = 0.63). CONCLUSIONS We report the feasibility of three-dimensional-magnetic resonance fingerprinting based quantification of bone marrow to differentiate bone metastasis from red marrow. Simultaneous T1 and T2 quantification of metastasis and red marrow deposition was possible in spine and pelvis and showed significant different values with excellent inter-reader agreement. ADVANCE IN KNOWLEDGE T1 values from three-dimensional-magnetic resonance fingerprinting might be a useful quantifier for evaluating bone marrow lesions.
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Affiliation(s)
- Hokyun Byun
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 1021 Tongil Ro, Eunpyeong-Gu, Seoul, Republic of Korea
| | - Dongyeob Han
- Siemens Healthineers Ltd, Seoul, Republic of Korea
| | - Ho Jong Chun
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-Daero, Seocho-Gu, Seoul, Republic of Korea.
| | - Sheen-Woo Lee
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 1021 Tongil Ro, Eunpyeong-Gu, Seoul, Republic of Korea.
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Lopez Kolkovsky AL, Matot B, Baudin PY, Caldas de Almeida Araujo E, Reyngoudt H, Marty B, Fromes Y. Multiparametric Aging Study Across Adulthood in the Leg Through Quantitative MR Imaging, 1H Spectroscopy, and 31P Spectroscopy at 3T. J Magn Reson Imaging 2024. [PMID: 38593265 DOI: 10.1002/jmri.29368] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Improved characterization of healthy muscle aging is needed to establish early biomarkers in age-related diseases. PURPOSE To quantify age-related changes on multiple MRI and clinical variables evaluated in the same cohort and identify correlations among them. STUDY TYPE Prospective. POPULATION 70 healthy subjects (30 men) from 20 to 81 years old. FIELD STRENGTH/SEQUENCE 3T/water T2 (multiecho SE, multi-TE STEAM), water T1 (GRE MR Fingerprinting), fat-fraction (multiecho GRE, multi-TE STEAM), carnosine (PRESS), multicomponent water T2 (ISIS-CPMG SE train), and 31P pulse-acquire spectroscopy. ASSESSMENT Age- and sex-related changes on: Imaging: fat-fraction (FFMRI), water T1 (T1-H2O), and T2 (T2-H2O-MRI) and their heterogeneities ΔT1-H2O and ΔT2-H2O-MRI in the posterior compartment (PC) and anterior compartment (AC) of the leg. 1H spectroscopy: Carnosine concentration, pH, water T2 components (T2-H2O-CPMG), fat-fraction (FFMRS), and water T2 (T2-H2O-MRS) in the gastrocnemius medialis. 31P spectroscopy: Phosphodiesters (PDE), phosphomonoesters, inorganic phosphates (Pi), and phosphocreatine (PCr) normalized to adenosine triphosphate (ATP) and pH in the calf. Clinical evaluation: Body-mass index (BMI), gait speed (GS), plantar flexion strength, handgrip strength (HS), HS normalized to wrist circumference (HSnorm), physical activity assessment. STATISTICAL TESTS Multilinear regressions with sex and age as fixed factors. Spearman correlations calculated between variables. Benjamini-Hochberg procedure for false positives reduction (5% rate). A P < 0.05 significance level was used. RESULTS Significant age-related increases were found for BMI (ρAge = 0.04), HSnorm (ρAge = -0.01), PDE/ATP (ρAge = 2.8 × 10-3), Pi/ATP (ρAge = 2.0 × 10-3), Pi/PCr (ρAge = 0.3 × 10-3), T2-H2O-MRS (ρAge = 0.051 msec), FFMRS (ρAge = 0.036) the intermediate T2-H2O-CPMG component time (ρAge = 0.112 msec), and fraction (ρAge = -0.3 × 10-3); and in both compartments for FFMRI (ρAge = 0.06, PC; ρAge = 0.06, AC), T2-H2O-MRI (ρAge = 0.05, PC; ρAge = 0.05, AC; msec), ΔT2-H2O-MRI (ρAge = 0.02, PC; ρAge = 0.02, AC; msec), T1-H2O (ρAge = 1.08, PC; ρAge = 1.06, AC; msec), and ΔT1-H2O (ρAge = 0.22, PC; ρAge = 0.37, AC; msec). The best age predictors, accounting for sex-related differences, were HSnorm (R2 = 0.52) and PDE/ATP (R2 = 0.44). In both leg compartments, the imaging measures and HSnorm were intercorrelated. In PC, T2-H2O-MRS and FFMRS also showed numerous correlations to the imaging measures. PDE/ATP correlated to T1-H2O, T2-H2O-MRI, ΔT2-H2O-MRI, FFMRI, FFMRS, the intermediate T2-H2O-CPMG, BMI, Pi/PCr, and HSnorm. DATA CONCLUSION Our multiparametric MRI approach provided an integrative view of age-related changes in the leg and revealed multiple correlations between these parameters and the normalized HS. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
| | - Beatrice Matot
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre-Yves Baudin
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | | | - Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Yves Fromes
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
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Slioussarenko C, Baudin PY, Reyngoudt H, Marty B. Bi-component dictionary matching for MR fingerprinting for efficient quantification of fat fraction and water T 1 in skeletal muscle. Magn Reson Med 2024; 91:1179-1189. [PMID: 37867467 DOI: 10.1002/mrm.29901] [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] [Received: 07/28/2023] [Revised: 09/15/2023] [Accepted: 10/06/2023] [Indexed: 10/24/2023]
Abstract
PURPOSE To propose an efficient bi-component MR fingerprinting (MRF) fitting method using a Variable Projection (VARPRO) strategy, applied to the quantification of fat fraction (FF) and water T1 (T 1 H 2 0 $$ \mathrm{T}{1}_{{\mathrm{H}}_20} $$ ) in skeletal muscle tissues. METHODS The MRF signals were analyzed in a two-step process by comparing them to the elements of separate water and fat dictionaries (bi-component dictionary matching). First, each pair of water and fat dictionary elements was fitted to the acquired signal to determine an optimal FF that was used to merge the fingerprints in a combined water/fat dictionary. Second, standard dictionary matching was applied to the combined dictionary for determining the remaining parameters. A clustering method was implemented to further accelerate the fitting. Accuracy, precision, and matching time of this approach were evaluated on both numerical and in vivo datasets, and compared to the reference dictionary-matching approach that includes FF as a dictionary parameter. RESULTS In numerical phantoms, all MRF parameters showed high correlation with ground truth for the reference and the bi-component method (R2 > 0.98). In vivo, the estimated parameters from the proposed method were highly correlated with those from the reference approach (R2 > 0.997). The bi-component method achieved an acceleration factor of up to 360 compared to the reference dictionary matching. CONCLUSION The proposed bi-component fitting approach enables a significant acceleration of the reconstruction of MRF parameter maps for fat-water imaging, while maintaining comparable precision and accuracy to the reference on FF andT 1 H 2 0 $$ \mathrm{T}{1}_{{\mathrm{H}}_20} $$ estimation.
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Affiliation(s)
| | - Pierre-Yves Baudin
- Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France
| | - Harmen Reyngoudt
- Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France
| | - Benjamin Marty
- Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France
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Peng H, Cheng C, Wan Q, Liang D, Liu X, Zheng H, Zou C. Reducing the ambiguity of field inhomogeneity and chemical shift effect for fat-water separation by field factor. Magn Reson Med 2023; 90:1830-1843. [PMID: 37379480 DOI: 10.1002/mrm.29774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 05/16/2023] [Accepted: 06/03/2023] [Indexed: 06/30/2023]
Abstract
PURPOSE To reduce the ambiguity between chemical shift and field inhomogeneity with flexible TE combinations by introducing a variable (field factor). THEORY AND METHODS The ambiguity between chemical shift and field inhomogeneity can be eliminated directly from the multiple in-phase images acquired at different TEs; however, it is only applicable to few echo combinations. In this study, we accommodated such an implementation in flexible TE combinations by introducing a new variable (field factor). The effects of the chemical shift were removed from the field inhomogeneity in the candidate solutions, thus reducing the ambiguity problem. To validate this concept, multi-echo MRI data acquired from various anatomies with different imaging parameters were tested. The derived fat and water images were compared with those of the state-of-the-art fat-water separation algorithms. RESULTS Robust fat-water separation was achieved with the accurate solution of field inhomogeneity, and no apparent fat-water swap was observed. In addition to the good performance, the proposed method is applicable to various fat-water separation applications, including different sequence types and flexible TE choices. CONCLUSION We propose an algorithm to reduce the ambiguity of chemical shift and field inhomogeneity and achieved robust fat-water separation in various applications.
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Affiliation(s)
- Hao Peng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chuanli Cheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Qian Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chao Zou
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China
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de Visser M, Carlier P, Vencovský J, Kubínová K, Preusse C. 255th ENMC workshop: Muscle imaging in idiopathic inflammatory myopathies. 15th January, 16th January and 22nd January 2021 - virtual meeting and hybrid meeting on 9th and 19th September 2022 in Hoofddorp, The Netherlands. Neuromuscul Disord 2023; 33:800-816. [PMID: 37770338 DOI: 10.1016/j.nmd.2023.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 08/20/2023] [Accepted: 08/25/2023] [Indexed: 09/30/2023]
Abstract
The 255th ENMC workshop on Muscle Imaging in Idiopathic Inflammatory myopathies (IIM) aimed at defining recommendations concerning the applicability of muscle imaging in IIM. The workshop comprised of clinicians, researchers and people living with myositis. We aimed to achieve consensus on the following topics: a standardized protocol for the evaluation of muscle images in various types of IIMs; the exact parameters, anatomical localizations and magnetic resonance imaging (MRI) techniques; ultrasound as assessment tool in IIM; assessment methods; the pattern of muscle involvement in IIM subtypes; the application of MRI as biomarker in follow-up studies and clinical trials, and the place of MRI in the evaluation of swallowing difficulty and cardiac manifestations. The following recommendations were formulated: In patients with suspected IIM, muscle imaging is highly recommended to be part of the initial diagnostic workup and baseline assessment. MRI is the preferred imaging modality due to its sensitivity to both oedema and fat accumulation. Ultrasound may be used for suspected IBM. Repeat imaging should be considered if patients do not respond to treatment, if there is ongoing diagnostic uncertainty or there is clinical or laboratory evidence of disease relapse. Quantitative MRI is established as a sensitive biomarker in IBM and could be included as a primary or secondary outcome measure in early phase clinical trials, or as a secondary outcome measure in late phase clinical trials. Finally, a research agenda was drawn up.
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Affiliation(s)
- Marianne de Visser
- Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Centre, Location Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
| | | | - Jiří Vencovský
- Institute of Rheumatology, Department of Rheumatology, Charles University, Prague, Czech Republic
| | - Kateřina Kubínová
- Institute of Rheumatology, Department of Rheumatology, Charles University, Prague, Czech Republic
| | - Corinna Preusse
- Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health Department of Neuropathology, Berlin, Germany
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10
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Gaur S, Panda A, Fajardo JE, Hamilton J, Jiang Y, Gulani V. Magnetic Resonance Fingerprinting: A Review of Clinical Applications. Invest Radiol 2023; 58:561-577. [PMID: 37026802 PMCID: PMC10330487 DOI: 10.1097/rli.0000000000000975] [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: 04/08/2023]
Abstract
ABSTRACT Magnetic resonance fingerprinting (MRF) is an approach to quantitative magnetic resonance imaging that allows for efficient simultaneous measurements of multiple tissue properties, which are then used to create accurate and reproducible quantitative maps of these properties. As the technique has gained popularity, the extent of preclinical and clinical applications has vastly increased. The goal of this review is to provide an overview of currently investigated preclinical and clinical applications of MRF, as well as future directions. Topics covered include MRF in neuroimaging, neurovascular, prostate, liver, kidney, breast, abdominal quantitative imaging, cardiac, and musculoskeletal applications.
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Affiliation(s)
- Sonia Gaur
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
| | - Ananya Panda
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | | | - Jesse Hamilton
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
| | - Yun Jiang
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
| | - Vikas Gulani
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
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11
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Marty B, Baudin PY, Araujo ECDA, Fromes Y, Wahbi K, Reyngoudt H. Assessment of Extracellular Volume Fraction in Becker Muscular Dystrophy by Using MR Fingerprinting. Radiology 2023; 307:e221115. [PMID: 36880945 DOI: 10.1148/radiol.221115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
Background Quantitative MRI is increasingly proposed in clinical trials related to dystrophinopathies, including Becker muscular dystrophy (BMD). Purpose To establish the sensitivity of extracellular volume fraction (ECV) quantification using an MR fingerprinting sequence with water and fat separation as a quantitative imaging biomarker of skeletal muscle tissue alterations in BMD compared with fat fraction (FF) and water relaxation time quantification. Materials and Methods In this prospective study, study participants with BMD and healthy volunteers were included from April 2018 until October 2022 (ClinicalTrials.gov identifier NCT02020954). The MRI examination comprised FF mapping with the three-point Dixon method, water T2 mapping, and water T1 mapping before and after an intravenous injection of a gadolinium-based contrast agent by using MR fingerprinting, from which ECV was calculated. Functional status was measured with use of the Walton and Gardner-Medwin scale. This clinical evaluation tool stratifies disease severity from grade 0 (preclinical; elevated creatine phosphokinase; all activities normal) to grade 9 (unable to eat, drink, or sit without assistance). Mann-Whitney U tests, Kruskal-Wallis tests, and Spearman rank correlation tests were performed. Results Twenty-eight participants with BMD (median age, 42 years [IQR, 34-52 years]; 28 male) and 19 healthy volunteers (median age, 39 years [IQR, 33-55 years]; 19 male) were evaluated. ECV was higher in participants with dystrophy than in controls (median, 0.21 [IQR, 0.16-0.28] vs 0.07 [IQR, 0.07-0.08]; P < .001). In muscles of participants with BMD with normal FF, ECV was also higher than in muscles of healthy controls (median, 0.11 [IQR, 0.10-0.15] vs 0.07 [IQR, 0.07-0.08]; P = .02). ECV was correlated with FF (ρ = 0.56, P = .003), Walton and Gardner-Medwin scale score (ρ = 0.52, P = .006), and serum cardiac troponin T level (ρ = 0.60, P < .001). Conclusion Quantitative MR relaxometry with water and fat separation indicates a significant increase of skeletal muscle extracellular volume fraction in study participants with Becker muscular dystrophy. Clinical trial registration no. NCT02020954 Published under a CC BY 4.0 license. Supplemental material is available for this article.
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Affiliation(s)
- Benjamin Marty
- From the Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Bâtiment Babinski, Groupe Hospitalier Pitié-Salpêtrière, 47-83 boulevard Vincent Auriol, 75651 Paris Cedex 13, France (B.M., P.Y.B., E.C.d.A.A., Y.F., H.R.); and Institute of Myology, Reference Center for Muscle Diseases Paris-Est, Paris, France (K.W.)
| | - Pierre-Yves Baudin
- From the Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Bâtiment Babinski, Groupe Hospitalier Pitié-Salpêtrière, 47-83 boulevard Vincent Auriol, 75651 Paris Cedex 13, France (B.M., P.Y.B., E.C.d.A.A., Y.F., H.R.); and Institute of Myology, Reference Center for Muscle Diseases Paris-Est, Paris, France (K.W.)
| | - Ericky Caldas de Almeida Araujo
- From the Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Bâtiment Babinski, Groupe Hospitalier Pitié-Salpêtrière, 47-83 boulevard Vincent Auriol, 75651 Paris Cedex 13, France (B.M., P.Y.B., E.C.d.A.A., Y.F., H.R.); and Institute of Myology, Reference Center for Muscle Diseases Paris-Est, Paris, France (K.W.)
| | - Yves Fromes
- From the Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Bâtiment Babinski, Groupe Hospitalier Pitié-Salpêtrière, 47-83 boulevard Vincent Auriol, 75651 Paris Cedex 13, France (B.M., P.Y.B., E.C.d.A.A., Y.F., H.R.); and Institute of Myology, Reference Center for Muscle Diseases Paris-Est, Paris, France (K.W.)
| | - Karim Wahbi
- From the Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Bâtiment Babinski, Groupe Hospitalier Pitié-Salpêtrière, 47-83 boulevard Vincent Auriol, 75651 Paris Cedex 13, France (B.M., P.Y.B., E.C.d.A.A., Y.F., H.R.); and Institute of Myology, Reference Center for Muscle Diseases Paris-Est, Paris, France (K.W.)
| | - Harmen Reyngoudt
- From the Institute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Bâtiment Babinski, Groupe Hospitalier Pitié-Salpêtrière, 47-83 boulevard Vincent Auriol, 75651 Paris Cedex 13, France (B.M., P.Y.B., E.C.d.A.A., Y.F., H.R.); and Institute of Myology, Reference Center for Muscle Diseases Paris-Est, Paris, France (K.W.)
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12
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Fu C, Yan D, Wang L, Duan F, Gu D, Yao N, Sun M, Wang D, Lin X, Wu Y, Wang X, Cheng X, Zhang D. High prevalence of sarcopenia and myosteatosis in patients undergoing hemodialysis. Front Endocrinol (Lausanne) 2023; 14:1117438. [PMID: 37033264 PMCID: PMC10076821 DOI: 10.3389/fendo.2023.1117438] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/09/2023] [Indexed: 04/11/2023] Open
Abstract
BACKGROUND AND PURPOSE Sarcopenia is highly prevalent (28.5-40.3%) in patients undergoing hemodialysis and leads to poor clinical outcomes. However, the association between muscle quality and sarcopenia in patients receiving hemodialysis remains unclear. Therefore, we aimed to explore the association between muscle cross-sectional area (CSA) and proton-density fat-fraction (PDFF) in patients with sarcopenia undergoing hemodialysis. METHODS Seventy-six patients undergoing hemodialysis for > 3 months were enrolled. Their handgrip strength (HGS), short physical performance battery (SPPB) performance, and appendicular skeletal muscle mass index (ASMI) were measured. Sarcopenia was defined using the Asian Working Group for Sarcopenia 2019 consensus update. All patients underwent quantitative magnetic resonance imaging. CSA and PDFF were measured for the thigh, trunk, and gluteus muscles. RESULTS The prevalence of probable, confirmed, and severe sarcopenia in this study was 73.7%, 51.3%, and 22.4%, respectively. Older age (OR: 1.061, P < 0.003); lower body mass index (BMI) (OR: 0.837, P = 0.008), albumin (OR: 0.765, P = 0.004), prealbumin (OR: 0.987, P = 0.001), predialysis blood urea nitrogen (BUN) (OR: 0.842, P < 0.001), predialysis creatinine (OR: 0.993, P < 0.001), phosphorus (OR: 0.396, P = 0.047); lower CSA of the thigh (OR: 0.58, P = 0.035), third lumbar (L3) trunk (OR: 0.37, P = 0.004), gluteus minimus and medius (OR: 0.28, P = 0.001), and gluteus maximus (OR: 0.28, P= 0.001); and higher PDFF of the thigh (OR: 1.89, P = 0.036) and L3 trunk (OR: 1.71, P = 0.040) were identified as sarcopenia risk factors. The gluteus minimus and medius CSA was lower in patients with sarcopenia than in those without after adjusting for age and BMI (OR: 0.37, P = 0.017). Higher thigh (P = 0.031) and L3 trunk (P = 0.006) muscle PDFF were significantly associated with lower HGS. Furthermore, higher thigh (P = 0.011) and L3 trunk (P = 0.010) muscle PDFF were also inversely correlated with lower ASMI. CONCLUSION Our findings demonstrate the high prevalence of sarcopenia and myosteatosis in patients undergoing hemodialysis and might trigger a paradigm shift in intervention strategies for patients receiving hemodialysis.
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Affiliation(s)
- Chen Fu
- Department of Nephrology, Beijing Jishuitan Hospital, Beijing, China
| | - Dong Yan
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Fangfang Duan
- Clinical Epidemiology Research Center, Beijing Jishuitan Hospital, Beijing, China
| | - Dalong Gu
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Ning Yao
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Mingke Sun
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Di Wang
- Department of Nephrology, Beijing Jishuitan Hospital, Beijing, China
| | - Xuya Lin
- Department of Nephrology, Beijing Jishuitan Hospital, Beijing, China
| | - Yanglei Wu
- MR Collaboration, Siemens Healthineers Ltd., Beijing, China
| | - Xiaofei Wang
- Department of Nephrology, Beijing Jishuitan Hospital, Beijing, China
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
- *Correspondence: Xiaoguang Cheng, ; Dongliang Zhang,
| | - Dongliang Zhang
- Department of Nephrology, Beijing Jishuitan Hospital, Beijing, China
- *Correspondence: Xiaoguang Cheng, ; Dongliang Zhang,
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Huang Y, Wang L, Zeng X, Chen J, Zhang Z, Jiang Y, Nie L, Cheng X, He B. Association of Paraspinal Muscle CSA and PDFF Measurements With Lumbar Intervertebral Disk Degeneration in Patients With Chronic Low Back Pain. Front Endocrinol (Lausanne) 2022; 13:792819. [PMID: 35721738 PMCID: PMC9204273 DOI: 10.3389/fendo.2022.792819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 04/21/2022] [Indexed: 12/01/2022] Open
Abstract
There is an interaction between the lumbar spine and paraspinal muscles, which may play a role in the development of intervertebral disc (IVD) degeneration and may affect CLBP. The study aims to assess the relationship between IVD degeneration and paraspinal muscle fat infiltration in CLBP patients by quantitative MR imaging, and to evaluate the influence of sex and age on CLBP muscle fat infiltration. Sixty CLBP patients (46.3 years ±17.0) and thirty-two healthy subjects (44.9 years ±17.6) were recruited for this study. 3.0 T MRI was used to perform the sagittal and axial T1, T2 of the lumbar spine, and axial paraspinal muscle IDEAL imaging at the L4/5 and L5/S1 levels. Proton density fat fraction (PDFF) of the multifidus and erector spinae at two IVD levels were measured. The Pfirrmann grades of IVD degeneration, Oswestry Disability Index (ODI), and Visual Analog Scale (VAS) were also evaluated. Compare the cross-sectional area (CSA) and PDFF of the paraspinal muscles between CLBP patients and healthy subjects, and analyze the relationship between the muscle PDFF and Pfirrmann grades, gender, and age of CLBP patients. Compared with healthy subjects, the CSA of the multifidus muscle in CLBP patients decreased (1320.2±188.1mm2vs. 1228.7±191.0 mm2, p<0.05) at the L4/5 level, the average PDFF increased, (7.7±2.6% vs. 14.79±5.3%, 8.8±4.2% vs. 16.03±5.3%, all p<0.05) at both L4/5 and L5/S1 levels. The PDFF of paraspinal muscles were correlated with adjacent IVD degeneration, ODI and VSA in CLBP patients (all p<0.05). After using age and body mass index (BMI) as control variables, significance was retained (all p<0.05). Multiple regression analysis revealed sex and age also were significantly associated with multifidus PDFF (all p < 0.05). This study confirmed that the CSA decreased and the PDFF increased of the paraspinal muscles in CLBP patients. It reveals a significant correlation between the PDFF of CLBP paraspinal muscles and the grade of IVD degeneration. Sex and age are also important factors influencing CLBP paraspinal muscle infiltration.
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Affiliation(s)
- Yilong Huang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Xiaomin Zeng
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
- GE Healthcare, Magnetic Resonance Field Application Team, Chengdu, China
| | - Jiaxin Chen
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhenguang Zhang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yuanming Jiang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Lisha Nie
- GE Healthcare, Magnetic Resonance Research China, Beijing, China
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
- *Correspondence: Bo He, ; Xiaoguang Cheng,
| | - Bo He
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China
- *Correspondence: Bo He, ; Xiaoguang Cheng,
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