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Zhang Y, Cheng Z, Peng H, Ma W, Zhang R, Ma J, Gao S, Li W, Xu Y. Factors influencing diffusion tensor imaging of knee cartilage in children ages 6-12 years: a prospective study. Pediatr Radiol 2024:10.1007/s00247-024-05965-x. [PMID: 38910223 DOI: 10.1007/s00247-024-05965-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 05/26/2024] [Accepted: 05/28/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Magnetic resonance diffusion tensor imaging (DTI) has recently been used to evaluate the developing cartilage of children, but the influencing factors have not been well studied. OBJECTIVE The objective of this study was to investigate the influence of the diffusion gradient strength (b value), diffusion gradient direction, age and sex on knee cartilage DTI in healthy children aged 6-12 years. MATERIALS AND METHODS A total of 30 healthy child volunteers, with an average age of 8.9 ± 1.6 (mean ± standard deviation) years, were enrolled in this study. They were categorized into three groups according to their age range: 6-8 years, 8-10 years and 10-12 years, ensuring equal sex distribution in each group (5 boys and 5 girls). These volunteers underwent routine left knee joint magnetic resonance imaging (MRI) and serial DTI scans. DTI parameters were altered as follows: when b value = 600 s/mm2, diffusion gradient direction was set to 6, 15, 25, 35 and 45; and when diffusion gradient direction = 25, b value was set to 300, 600, 900 and 1200 s/mm2. The values of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were separately acquired using image post-processing techniques. The correlation between various b values, diffusion gradient directions, age and sex on the one hand and FA and ADC values on the other, was investigated. RESULTS (1) When diffusion gradient direction was fixed and the b value was varied, both FA and ADC exhibited a decreasing trend as the b value increased (P < 0.001). (2) When the b value was fixed and diffusion gradient direction was varied, the FA of knee cartilage showed a decreasing trend with increasing diffusion gradient direction (P < 0.001). (3) The FA value increased with age (P < 0.05). CONCLUSION The b value, diffusion gradient direction value and age exert a significant impact on both FA and ADC values in MR DTI of knee cartilage in children aged 6-12 years. In order to obtain a stable DTI, it is recommended to select a b value ≥ 600 s/mm2 and a diffusion gradient direction ≥ 25 during scanning.
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Affiliation(s)
- Yilu Zhang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China
| | - Zhuo Cheng
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China
| | - Hailun Peng
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China
| | - Wei Ma
- Department of Radiology, The People's Hospital of Yubei District of Chongqing City, Yubei District, Chongqing, China
| | - Rui Zhang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China
| | - Junya Ma
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China
| | - Sijie Gao
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China
| | - Wei Li
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China
| | - Ye Xu
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan Er Lu, Yuzhong District, Chongqing, 400000, China.
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Raya JG, Duarte A, Wang N, Mazzoli V, Jaramillo D, Blamire AM, Dietrich O. Applications of Diffusion-Weighted MRI to the Musculoskeletal System. J Magn Reson Imaging 2024; 59:376-396. [PMID: 37477576 DOI: 10.1002/jmri.28870] [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: 02/22/2023] [Revised: 06/05/2023] [Accepted: 06/05/2023] [Indexed: 07/22/2023] Open
Abstract
Diffusion-weighted imaging (DWI) is an established MRI technique that can investigate tissue microstructure at the scale of a few micrometers. Musculoskeletal tissues typically have a highly ordered structure to fulfill their functions and therefore represent an optimal application of DWI. Even more since disruption of tissue organization affects its biomechanical properties and may indicate irreversible damage. The application of DWI to the musculoskeletal system faces application-specific challenges on data acquisition including susceptibility effects, the low T2 relaxation time of most musculoskeletal tissues (2-70 msec) and the need for sub-millimetric resolution. Thus, musculoskeletal applications have been an area of development of new DWI methods. In this review, we provide an overview of the technical aspects of DWI acquisition including diffusion-weighting, MRI pulse sequences and different diffusion regimes to study tissue microstructure. For each tissue type (growth plate, articular cartilage, muscle, bone marrow, intervertebral discs, ligaments, tendons, menisci, and synovium), the rationale for the use of DWI and clinical studies in support of its use as a biomarker are presented. The review describes studies showing that DTI of the growth plate has predictive value for child growth and that DTI of articular cartilage has potential to predict the radiographic progression of joint damage in early stages of osteoarthritis. DTI has been used extensively in skeletal muscle where it has shown potential to detect microstructural and functional changes in a wide range of muscle pathologies. DWI of bone marrow showed to be a valuable tool for the diagnosis of benign and malignant acute vertebral fractures and bone metastases. DTI and diffusion kurtosis have been investigated as markers of early intervertebral disc degeneration and lower back pain. Finally, promising new applications of DTI to anterior cruciate ligament grafts and synovium are presented. The review ends with an overview of the use of DWI in clinical routine. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- José G Raya
- Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Alejandra Duarte
- Division of Musculoskeletal Radiology, Department of Radiology, Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - Nian Wang
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana, USA
- Stark Neurosciences Research Institute, Indiana University, Indianapolis, Indiana, USA
| | - Valentina Mazzoli
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Diego Jaramillo
- Department of Radiology, Columbia University Medical Center, New York, New York, USA
| | - Andrew M Blamire
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Olaf Dietrich
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
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Li M, Xia Z, Li X, lan L, Mo X, Xie L, Zhan Y, Li W. Difference in quantitative MRI measurements of cartilage between Wiberg type III patella and stable patella based on a 3.0-T synthetic MRI sequence. Eur J Radiol Open 2023; 11:100526. [PMID: 37953964 PMCID: PMC10632675 DOI: 10.1016/j.ejro.2023.100526] [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: 07/23/2023] [Revised: 09/17/2023] [Accepted: 09/30/2023] [Indexed: 11/14/2023] Open
Abstract
Purpose The purpose of this study was to investigate the difference between the quantitative MRI values of Wiberg type III and stable patellar cartilage, and to improve the accuracy of MRI quantification in early patellar cartilage damage. Methods The knee joints of 94 healthy volunteers were scanned by a GE Signa Pioneer 3.0-T synthetic MRI machine. According to the Wiberg classification, the patella was divided into types I-III. Types I-II made up the stable patella group, and type III made up the unstable patella group. Two radiologists independently measured patellar cartilage thickness and quantitative synthetic MRI values (T1, T2, PD) in both groups. Interobserver agreement for quantitative variables was assessed using the Bland-Altman method. A third radiologist assessed differences in measurements. Results The medial T2 and T1 value of Wiberg III patella did not show a normal distribution (all P > 0.05). Compared with the stable group, the Wiberg type III group had thinner cartilage of the medial surface of the patella (P < 0.05), lower cartilage T2 and PD values (P < 0.05), but a similar cartilage T1 value (P > 0.05). There was no significant difference in the cartilage thickness, T1, T2, or PD value of the lateral patella between the Wiberg type III and the stable group (P > 0.05). Conclusion There were certain differences in the cartilage thickness of the medial surface of the patella and the quantitative value of synthetic MRI in Wiberg type III patellas. Quantitative studies of patellar cartilage MRI measurements need to consider the influence of patellar morphology.
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Affiliation(s)
- Min Li
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
| | - Zhenyuan Xia
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
| | - Xiaohua Li
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
| | - Lan lan
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
| | - Xinxin Mo
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
| | - La Xie
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
| | - Yu Zhan
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
| | - Weixiong Li
- The Second Affiliated Hospital of Guangxi Medical University, Department of Radiology, Nanning, Guangxi 530007, China
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Zbýň Š, Kajabi AW, Nouraee CM, Ludwig KD, Johnson CP, Tompkins MA, Nelson BJ, Zhang L, Moeller S, Marette S, Metzger GJ, Carlson CS, Ellermann JM. Evaluation of lesion and overlying articular cartilage in patients with juvenile osteochondritis dissecans of the knee using quantitative diffusion MRI. J Orthop Res 2023; 41:1449-1463. [PMID: 36484124 DOI: 10.1002/jor.25505] [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: 08/01/2022] [Revised: 11/06/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Current clinical MRI of patients with juvenile osteochondritis dissecans (JOCD) is limited by the low reproducibility of lesion instability evaluation and inability to predict which lesions will heal after nonoperative treatment and which will later require surgery. The aim of this study is to verify the ability of apparent diffusion coefficient (ADC) to detect differences in lesion microstructure between different JOCD stages, treatment groups, and healthy, unaffected contralateral knees. Pediatric patients with JOCD received quantitative diffusion MRI between January 2016 and September 2020 in this prospective research study. A disease stage (I-IV) and stability of each JOCD lesion was evaluated. ADCs were calculated in progeny lesion, interface, parent bone, cartilage overlying lesion, control bone, and control cartilage regions. ADC differences were evaluated using linear mixed models with Bonferroni correction. Evaluated were 30 patients (mean age, 13 years; 21 males), with 40 JOCD-affected and 12 healthy knees. Nine patients received surgical treatment after MRI. Negative Spearman rank correlations were found between ADCs and JOCD stage in the progeny lesion (ρ = -0.572; p < 0.001), interface (ρ = -0.324; p = 0.041), and parent bone (ρ = -0.610; p < 0.001), demonstrating the sensitivity of ADC to microstructural differences in lesions at different JOCD stages. We observed a significant increase in the interface ADCs (p = 0.007) between operative (mean [95% CI] = 1.79 [1.56-2.01] × 10-3 mm2 /s) and nonoperative group (1.27 [0.98-1.57] × 10-3 mm2 /s). Quantitative diffusion MRI detects microstructural differences in lesions at different stages of JOCD progression towards healing and reveals differences between patients assigned for operative versus nonoperative treatment.
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Affiliation(s)
- Štefan Zbýň
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Abdul Wahed Kajabi
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Cyrus M Nouraee
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kai D Ludwig
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Casey P Johnson
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Veterinary Clinical Sciences, University of Minnesota, St. Paul, Minnesota, USA
| | - Marc A Tompkins
- Department of Orthopedic Surgery, University of Minnesota, Minneapolis, Minnesota, USA
- TRIA Orthopedic Center, Minneapolis, Minnesota, USA
- Gillette Children's Specialty Healthcare, St. Paul, Minnesota, USA
| | - Bradley J Nelson
- Department of Orthopedic Surgery, University of Minnesota, Minneapolis, Minnesota, USA
- TRIA Orthopedic Center, Minneapolis, Minnesota, USA
| | - Lin Zhang
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Steen Moeller
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Shelly Marette
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Gregory J Metzger
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Cathy S Carlson
- Department of Veterinary Clinical Sciences, University of Minnesota, St. Paul, Minnesota, USA
| | - Jutta M Ellermann
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
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Martín-Noguerol T, Barousse R, Wessell DE, Rossi I, Luna A. A handbook for beginners in skeletal muscle diffusion tensor imaging: physical basis and technical adjustments. Eur Radiol 2022; 32:7623-7631. [PMID: 35554647 DOI: 10.1007/s00330-022-08837-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 04/09/2022] [Accepted: 04/14/2022] [Indexed: 01/03/2023]
Abstract
Magnetic resonance imaging (MRI) of skeletal muscle is routinely performed using morphological sequences to acquire anatomical information. Recently, there is an increasing interest in applying advanced MRI techniques that provide pathophysiologic information for skeletal muscle evaluation to complement standard morphologic information. Among these advanced techniques, diffusion tensor imaging (DTI) has emerged as a potential tool to explore muscle microstructure. DTI can noninvasively assess the movement of water molecules in well-organized tissues with anisotropic diffusion, such as skeletal muscle. The acquisition of DTI studies for skeletal muscle assessment requires specific technical adjustments. Besides, knowledge of DTI physical basis and skeletal muscle physiopathology facilitates the evaluation of this advanced sequence and both image and parameter interpretation. Parameters derived from DTI provide a quantitative assessment of muscle microstructure with potential to become imaging biomarkers of normal and pathological skeletal muscle. KEY POINTS: • Diffusion tensor imaging (DTI) allows to evaluate the three-dimensional movement of water molecules inside biological tissues. • The skeletal muscle structure makes it suitable for being evaluated with DTI. • Several technical adjustments have to be considered for obtaining robust and reproducible DTI studies for skeletal muscle assessment, minimizing potential artifacts.
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Affiliation(s)
- Teodoro Martín-Noguerol
- MRI Section, Radiology Department, SERCOSA, HT Médica, Carmelo Torres 2, 23007, Jaén, Spain.
| | | | | | | | - Antonio Luna
- MRI Section, Radiology Department, SERCOSA, HT Médica, Carmelo Torres 2, 23007, Jaén, Spain
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Wang N, Wen Q, Maharjan S, Mirando AJ, Qi Y, Hilton MJ, Spritzer CE. Magic angle effect on diffusion tensor imaging in ligament and brain. Magn Reson Imaging 2022; 92:243-250. [PMID: 35777687 PMCID: PMC10155228 DOI: 10.1016/j.mri.2022.06.008] [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] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 06/09/2022] [Accepted: 06/22/2022] [Indexed: 10/17/2022]
Abstract
PURPOSE To evaluate the magic angle effect on diffusion tensor imaging (DTI) measurements in rat ligaments and mouse brains. METHODS Three rat knee joints and three mouse brains were scanned at 9.4 T using a modified 3D diffusion-weighted spin echo pulse sequence with the isotropic spatial resolution of 45 μm. The b value was 1000 s/mm2 for rat knee and 4000 s/mm2 for mouse brain. DTI model was used to investigate the quantitative metrics at different orientations with respect to the main magnetic field. The collagen fiber structure of the ligament was validated with polarized light microscopy (PLM) imaging. RESULTS The signal intensity, signal-to-noise ratio (SNR), and DTI metrics in the ligament were strongly dependent on the collagen fiber orientation with respect to the main magnetic field from both simulation and actual MRI scans. The variation of fractional anisotropy (FA) was about ~32%, and the variation of mean diffusivity (MD) was ~11%. These findings were further validated with the numerical simulation at different SNRs (~10.0 to 86.0). Compared to the ligament, the DTI metrics showed little orientation dependence in mouse brains. CONCLUSION Magic angle effect plays an important role in DTI measurements in the highly ordered collagen-rich tissues, while MD showed less orientation dependence than FA.
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Affiliation(s)
- Nian Wang
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Indiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA; Stark Neurosciences Research Institute, Indiana University, Indianapolis, IN, USA.
| | - Qiuting Wen
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA
| | - Surendra Maharjan
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA
| | - Anthony J Mirando
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Yi Qi
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, NC, USA
| | - Matthew J Hilton
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA; Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
| | - Charles E Spritzer
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
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Shen J, Zhao Q, Qi Y, Cofer G, Johnson GA, Wang N. Tractography of Porcine Meniscus Microstructure Using High-Resolution Diffusion Magnetic Resonance Imaging. Front Endocrinol (Lausanne) 2022; 13:876784. [PMID: 35620393 PMCID: PMC9127075 DOI: 10.3389/fendo.2022.876784] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/04/2022] [Indexed: 11/23/2022] Open
Abstract
To noninvasively evaluate the three-dimensional collagen fiber architecture of porcine meniscus using diffusion MRI, meniscal specimens were scanned using a 3D diffusion-weighted spin-echo pulse sequence at 7.0 T. The collagen fiber alignment was revealed in each voxel and the complex 3D collagen network was visualized for the entire meniscus using tractography. The proposed automatic segmentation methods divided the whole meniscus to different zones (Red-Red, Red-White, and White-White) and different parts (anterior, body, and posterior). The diffusion tensor imaging (DTI) metrics were quantified based on the segmentation results. The heatmap was generated to investigate the connections among different regions of meniscus. Strong zonal-dependent diffusion properties were demonstrated by DTI metrics. The fractional anisotropy (FA) value increased from 0.13 (White-White zone) to 0.26 (Red-Red zone) and the radial diffusivity (RD) value changed from 1.0 × 10-3 mm2/s (White-White zone) to 0.7 × 10-3 mm2/s (Red-Red zone). Coexistence of both radial and circumferential collagen fibers in the meniscus was evident by diffusion tractography. Weak connections were found between White-White zone and Red-Red zone in each part of the meniscus. The anterior part and posterior part were less connected, while the body part showed high connections to both anterior part and posterior part. The tractography based on diffusion MRI may provide a complementary method to study the integrity of meniscus and nondestructively visualize the 3D collagen fiber architecture.
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Affiliation(s)
- Jikai Shen
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Qi Zhao
- Physical Education Institute, Jimei University, Xiamen, China
| | - Yi Qi
- Department of Radiology, Duke University School of Medicine, Durham, NC, United States
| | - Gary Cofer
- Department of Radiology, Duke University School of Medicine, Durham, NC, United States
| | - G. Allan Johnson
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
- Department of Radiology, Duke University School of Medicine, Durham, NC, United States
| | - Nian Wang
- Department of Radiology, Duke University School of Medicine, Durham, NC, United States
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indiana University, Indianapolis, IN, United States
- *Correspondence: Nian Wang,
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Zhao Q, Ridout RP, Shen J, Wang N. Effects of Angular Resolution and b Value on Diffusion Tensor Imaging in Knee Joint. Cartilage 2021; 13:295S-303S. [PMID: 33843284 PMCID: PMC8804734 DOI: 10.1177/19476035211007909] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
OBJECTIVE To investigate the influences of the diffusion gradient directions (angular resolution) and the strength of the diffusion gradient (b value) on diffusion tensor imaging (DTI) metrics and tractography of various connective tissues in knee joint. DESIGN Two rat knee joints were scanned on a preclinical 9.4-T system using a 3-dimensional diffusion-weighted spin echo pulse sequence. One protocol with b value of 500, 1500, and 2500 s/mm2 were acquired separately using 43 diffusion gradient directions. The other protocol with b value of 1000 s/mm2 was performed using 147 diffusion gradient directions. The in-plane resolution was 45 µm isotropic. Fractional anisotropy (FA) and mean diffusivity (MD) were compared at different angular resolution. Tractography was quantitatively evaluated at different b values and angular resolutions in cartilage, ligament, meniscus, and growth plate. RESULTS The ligament showed higher FA value compared with growth plate and cartilage. The FA values were largely overestimated at the angular resolution of 6. Compared with FA, MD showed less sensitivity to the angular resolution. The fiber tracking was failed at low angular resolution (6 diffusion gradient directions) or high b value (2500 s/mm2). The quantitative measurements of tract length and track volume were strongly dependent on angular resolution and b value. CONCLUSIONS To obtain consistent DTI outputs and tractography in knee joint, the scan may require a proper b value (ranging from 500 to 1500 s/mm2) and sufficient angular resolution (>14) with signal-to-noise ratio >10.
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Affiliation(s)
- Qi Zhao
- School of Psychology, Shanghai
University of Sport, Shanghai, China
| | - Rees P. Ridout
- Pratt School of Engineering, Duke
University, Durham, NC, USA
| | - Jikai Shen
- Pratt School of Engineering, Duke
University, Durham, NC, USA
| | - Nian Wang
- Department of Radiology, Duke
University School of Medicine, Durham, NC, USA,Department of Radiology and Imaging
Sciences, Indiana University School of Medicine, Indianapolis, IN, USA,Nian Wang, Department of Radiology and
Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202,
USA.
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9
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Crowder HA, Mazzoli V, Black MS, Watkins LE, Kogan F, Hargreaves BA, Levenston ME, Gold GE. Characterizing the transient response of knee cartilage to running: Decreases in cartilage T 2 of female recreational runners. J Orthop Res 2021; 39:2340-2352. [PMID: 33483997 PMCID: PMC8295402 DOI: 10.1002/jor.24994] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/20/2020] [Accepted: 01/19/2021] [Indexed: 02/04/2023]
Abstract
Cartilage transmits and redistributes biomechanical loads in the knee joint during exercise. Exercise-induced loading alters cartilage hydration and is detectable using quantitative magnetic resonance imaging (MRI), where T2 relaxation time (T2 ) is influenced by cartilage collagen composition, fiber orientation, and changes in the extracellular matrix. This study characterized short-term transient responses of healthy knee cartilage to running-induced loading using bilateral scans and image registration. Eleven healthy female recreational runners (33.73 ± 4.22 years) and four healthy female controls (27.25 ± 1.38 years) were scanned on a 3T GE MRI scanner with quantitative 3D double-echo in steady-state before running over-ground (runner group) or resting (control group) for 40 min. Subjects were scanned immediately post-activity at 5-min intervals for 60 min. T2 times were calculated for femoral, tibial, and patellar cartilage at each time point and analyzed using a mixed-effects model and Bonferroni post hoc. There were immediate decreases in T2 (mean ± SEM) post-run in superficial femoral cartilage of at least 3.3% ± 0.3% (p = .002) between baseline and Time 0 that remained for 25 min, a decrease in superficial tibial cartilage T2 of 2.9% ± 0.4% (p = .041) between baseline and Time 0, and a decrease in superficial patellar cartilage T2 of 3.6% ± 0.3% (p = .020) 15 min post-run. There were decreases in the medial posterior region of superficial femoral cartilage T2 of at least 5.3 ± 0.2% (p = .022) within 5 min post-run that remained at 60 min post-run. These results increase understanding of transient responses of healthy cartilage to repetitive, exercise-induced loading and establish preliminary recommendations for future definitive studies of cartilage response to running.
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Affiliation(s)
- Hollis A. Crowder
- Department of Mechanical Engineering, Stanford University, Stanford, California, USA,Department of Radiology, Stanford University, Stanford, California, USA
| | - Valentina Mazzoli
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Marianne S. Black
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Lauren E. Watkins
- Department of Radiology, Stanford University, Stanford, California, USA,Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Feliks Kogan
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Brian A. Hargreaves
- Department of Radiology, Stanford University, Stanford, California, USA,Department of Bioengineering, Stanford University, Stanford, California, USA,Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Marc E. Levenston
- Department of Mechanical Engineering, Stanford University, Stanford, California, USA,Department of Radiology, Stanford University, Stanford, California, USA
| | - Garry E. Gold
- Department of Radiology, Stanford University, Stanford, California, USA
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Chaturvedi A. Pediatric skeletal diffusion-weighted magnetic resonance imaging, part 2: current and emerging applications. Pediatr Radiol 2021; 51:1575-1588. [PMID: 34018037 DOI: 10.1007/s00247-021-05028-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/07/2021] [Accepted: 02/17/2021] [Indexed: 01/07/2023]
Abstract
Diffusion-weighted imaging (DWI) complements the more established T1, fluid-sensitive and gadolinium-enhanced magnetic resonance pulse sequences used to assess several pediatric skeletal pathologies. There is optimism that the technique might not just be complementary but could serve as an alternative to gadolinium and radiopharmaceuticals for several indications. As a non-contrast, free-breathing and noninvasive technique, DWI is especially valuable in children and is readily incorporated into existing MRI protocols. The indications for skeletal DWI in children include distinguishing between benign and malignant skeletal processes, initial assessment and treatment response assessment for osseous sarcomas, and assessment of inflammatory arthropathies and femoral head ischemia, among others. A notable challenge of diffusion MRI is the dynamic nature of the growing pediatric skeleton. It is important to consider the child's age when placing DWI findings in context with potential marrow pathology. This review article summarizes the current and evolving applications of DWI for assessing the pediatric skeleton, rounding off the discussion with evolving directions for further research in this realm.
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Affiliation(s)
- Apeksha Chaturvedi
- Division of Pediatric Radiology, Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave., Rochester, NY, 14642, USA.
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Rizzo G, Cristoforetti A, Marinetti A, Rigoni M, Puddu L, Cortese F, Nollo G, Della Sala SW, Tessarolo F. Quantitative MRI T2 Mapping Is Able to Assess Tissue Quality After Reparative and Regenerative Treatments of Osteochondral Lesions of the Talus. J Magn Reson Imaging 2021; 54:1572-1582. [PMID: 34047400 PMCID: PMC8596766 DOI: 10.1002/jmri.27754] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/18/2021] [Accepted: 05/19/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Quantitative MRI has potential for tissue characterization after reparative and regenerative surgical treatment of osteochondral lesions of the talus (OCLTs). However available data is inconclusive and quantitative sequences can be difficult to implement in real-time clinical application. PURPOSE To assess the potential of T2 mapping in discriminating articular tissue characteristics after reparative and regenerative surgery of OCLTs in real-world clinical settings. STUDY TYPE Observational and prospective cohort study. POPULATION 15 OCLT patients who had received either reparative treatment with arthroscopic microfracture surgery (MFS) for a grade I lesion or regenerative treatment with bone marrow derived cell transplantation (BMDCT) for a grade II lesion. FIELD STRENGTH/SEQUENCE 1.5 T, proton density weighted TSE, T2-weighted true fast imaging with steady-state-free precession and multi-echo T2 mapping sequences. ASSESSMENT Patients were evaluated at a minimum postoperative follow-up of 24 months. T2 maps of the ankle were generated and the distribution of T2 values was analyzed in manually identified volumes of interest (VOIs) for both treated lesions (TX) and healthy cartilage (CTRL). The amount of fibrocartilage, hyaline-like and remodeling tissue in TX VOIs was obtained, based on T2 thresholds from CTRL VOIs. STATISTICAL TESTS Fisher's exact test for categorical data, nonparametric Mann-Whitney U test for continuous data. The statistical significance level was P < 0.05. RESULTS From CTRL VOI analysis, T2 < 25 msec, 25 msec ≤ T2 ≤ 45 msec, and T2 > 45 msec were considered as representative for fibrocartilage, hyaline-like and remodeling tissue, respectively. Tissue composition of the two treatment groups was different, with significantly more fibrocartilage (+28%) and less hyaline-like tissue (-15%) in MFS than in BMDCT treated lesions. No difference in healthy tissue composition was found between the two groups (P = 0.75). DATA CONCLUSIONS T2 mapping of surgically treated OCLTs can provide quantitative information about the type and amount of newly formed tissue at the lesion site, thereby facilitating surgical follow-up in a real-word clinical setting. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Giulio Rizzo
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Alessandro Cristoforetti
- Department of Industrial Engineering, University of Trento, Trento, Italy.,Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy
| | - Alessandro Marinetti
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Marta Rigoni
- Department of Industrial Engineering, University of Trento, Trento, Italy.,Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy
| | - Leonardo Puddu
- Division of Orthopaedics and Traumatology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Fabrizio Cortese
- Division of Orthopaedics and Traumatology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Giandomenico Nollo
- Department of Industrial Engineering, University of Trento, Trento, Italy.,Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy
| | - Sabino W Della Sala
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Francesco Tessarolo
- Department of Industrial Engineering, University of Trento, Trento, Italy.,Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy
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12
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Marinetti A, Tessarolo F, Ventura L, Falzone A, Neri M, Piccoli F, Rigoni M, Masè M, Cortese F, Nollo G, Della Sala SW. Morphological MRI of knee cartilage: repeatability and reproducibility of damage evaluation and correlation with gross pathology examination. Eur Radiol 2020; 30:3226-3235. [PMID: 32055948 DOI: 10.1007/s00330-019-06627-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 11/26/2019] [Accepted: 12/13/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To assess the performance of a morphological evaluation, based on a clinically relevant magnetic resonance imaging (MRI) protocol, in scoring the severity of knee cartilage damage. Specifically, to evaluate the reproducibility, repeatability, and agreement of MRI evaluation with the gross pathology examination (GPE) of the tissue. METHODS MRI of the knee was performed the day before surgery in 23 patients undergoing total knee arthroplasty. Osteochondral tissue resections were collected and chondral defects were scored by GPE according to a semi-quantitative scale. MR images were independently scored by four radiologists, who assessed the severity of chondral damage according to equivalent criteria. Inter- and intra-rater agreements of MRI evaluations were assessed. Correlation, precision, and accuracy metrics between MRI and GPE scores were calculated. RESULTS Moderate to substantial inter-rater agreement in scoring cartilage damage by MRI was found among radiologists. Intra-rater agreement was higher than 96%. A significant positive monotonic correlation between GPE and MRI scores was observed for all radiologists, although higher correlation values were obtained by radiologists with expertise in musculoskeletal radiology and/or longer experience. The accuracy of MRI scores displayed a spatial pattern, characterized by lesion overestimation in the lateral condyle and underestimation in the medial condyle with respect to GPE. CONCLUSIONS Evaluation of knee cartilage morphology by MRI is a reproducible and repeatable technique, which positively correlates with GPE. Clinical expertise in musculoskeletal radiology positively impacts the evaluation reliability. These findings may help to address limitations in MRI evaluation of knee chondral lesions, thus improving MRI assessment of knee cartilage. KEY POINTS • MRI evaluation of knee cartilage shows moderate to strong correlation with gross pathology examination. • MRI evaluation overestimates cartilage damage in the lateral condyle and underestimates it in the medial condyle. • Education and experience of the radiologist play a role in MRI evaluation of knee chondral lesions.
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Affiliation(s)
- Alessandro Marinetti
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Francesco Tessarolo
- Department of Industrial Engineering, University of Trento, via delle Regole, 101, I-38123, Mattarello, Trento, Italy. .,Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy.
| | - Luisa Ventura
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Andrea Falzone
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Marinella Neri
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Federico Piccoli
- Department of Laboratory Medicine, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Marta Rigoni
- Department of Industrial Engineering, University of Trento, via delle Regole, 101, I-38123, Mattarello, Trento, Italy.,Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy
| | - Michela Masè
- Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy
| | - Fabrizio Cortese
- Division of Orthopaedics and Traumatology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
| | - Giandomenico Nollo
- Department of Industrial Engineering, University of Trento, via delle Regole, 101, I-38123, Mattarello, Trento, Italy.,Healthcare Research and Innovation Program (IRCS-FBK-PAT), Bruno Kessler Foundation, Trento, Italy
| | - Sabino Walter Della Sala
- Division of Diagnostic Radiology, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari, Trento, Italy
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Martín Noguerol T, Raya JG, Wessell DE, Vilanova JC, Rossi I, Luna A. Functional MRI for evaluation of hyaline cartilage extracelullar matrix, a physiopathological-based approach. Br J Radiol 2019; 92:20190443. [PMID: 31433668 DOI: 10.1259/bjr.20190443] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
MRI of articular cartilage (AC) integrity has potential to become a biomarker for osteoarthritis progression. Traditional MRI sequences evaluate AC morphology, allowing for the measurement of thickness and its change over time. In the last two decades, more advanced, dedicated MRI cartilage sequences have been developed aiming to assess AC matrix composition non-invasively and detect early changes in cartilage not captured on morphological sequences. T2-mapping and T1ρ sequences can be used to estimate the relaxation times of water inside the AC. These sequences have been introduced into clinical protocols and show promising results for cartilage assessment. Extracelullar matrix can also be assessed using diffusion-weighted imaging and diffusion tensor imaging as the movement of water is limited by the presence of extracellular matrix in AC. Specific techniques for glycosaminoglycans (GAG) evaluation, such as delayed gadolinium enhanced MRI of cartilage or Chemical Exchange Saturation Transfer imaging of GAG, as well as sodium imaging have also shown utility in the detection of AC damage. This manuscript provides an educational update on the physical principles behind advanced AC MRI techniques as well as a comprehensive review of the strengths and weaknesses of each approach. Current clinical applications and potential future applications of these techniques are also discussed.
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Affiliation(s)
| | - Jose G Raya
- Department of Radiology, NYU School of Medicine, NY, USA
| | | | - Joan C Vilanova
- Department of Radiology, Clínica Girona. Institute Diagnostic Imaging (IDI), University of Girona, Girona, Spain
| | | | - Antonio Luna
- MRI unit, Radiology department, Health Time, Jaén, Spain
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