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Luo KL, Santos L, Tokaria R, Jambawalikar S, Duong PT, Raya JG, Mostoufi‐Moab S, Jaramillo D. Generalizing Diffusion Tensor Imaging of the Physis and Metaphysis. J Magn Reson Imaging 2025; 61:798-804. [PMID: 38757966 PMCID: PMC11706308 DOI: 10.1002/jmri.29455] [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: 02/27/2024] [Revised: 05/02/2024] [Accepted: 05/05/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Current methods to predict height potential are inaccurate. Predicting height by using MRI of the physeal cartilage has shown promise but the applicability of this technique in different imaging setups has not been well-evaluated. PURPOSE To assess variability in diffusion tensor imaging of the physis and metaphysis (DTI-P/M) of the distal femur between different scanners, imaging parameters, tractography software, and resolution. STUDY TYPE Prospective. POPULATION/SUBJECTS Eleven healthy subjects (five males and six females ages 10-16.94). FIELD STRENGTH/SEQUENCE 3 T; DTI single shot echo planar sequences. ASSESSMENT Physeal DTI tract measurements of the distal femur were compared between different scanners, imaging parameters, tractography settings, interpolation correction, and tractography software. STATISTICAL TESTS Bland-Altman, Spearman correlation, linear regression, and Shapiro-Wilk tests. Threshold for statistical significance was set at P = 0.05. RESULTS DTI tract values consistently showed low variability with different imaging and analysis settings. Vendor to vendor comparison exhibited strong correlation (ρ = 0.93) and small but significant bias (bias -5.76, limits of agreement [LOA] -24.31 to 12.78). Strong correlation and no significant difference were seen between technical replicates of the General Electric MRI scanner (ρ = 1, bias 0.17 [LOA -1.5 to 1.2], P = 0.42) and the Siemens MRI scanner (ρ = 0.89, bias = 0.56, P = 0.71). Different voxel sizes (1 × 1 × 2 mm3 vs. 2 × 2 × 3 mm3) did not significantly affect DTI values (bias = 1.4 [LOA -5.7 to 8.4], P = 0.35) but maintained a strong correlation (ρ = 0.82). Gap size (0 mm vs. 0.6 mm) significantly affects tract volume (bias = 1.8 [LOA -5.4 to 1.8]) but maintains a strong correlation (ρ = 0.93). Comparison of tractography algorithms generated significant differences in tract number, length, and volume while maintaining correlation (ρ = 0.86, 0.99, 0.93, respectively). Comparison of interobserver variability between different tractography software also revealed significant differences while maintaining high correlation (ρ = 0.85-0.98). DATA CONCLUSION DTI of the pediatric physis cartilage shows high reproducibility between different imaging and analytic parameters. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Katherine L. Luo
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Laura Santos
- Department of RadiologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Rumana Tokaria
- Department of RadiologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Sachin Jambawalikar
- Department of RadiologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Phuong T. Duong
- Department of RadiologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - José G. Raya
- New York University Langone Medical CenterNew YorkNew YorkUSA
| | | | - Diego Jaramillo
- Department of RadiologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
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Santos L, Guariento A, Moustoufi-Moab S, Nguyen J, Tokaria R, Raya JM, Zurakowski D, Jambawalikar S, Jaramillo D. Comparison of tibial and femoral physeal diffusion tensor imaging in adolescents. Pediatr Radiol 2024; 54:2243-2253. [PMID: 39516384 PMCID: PMC11638376 DOI: 10.1007/s00247-024-06073-6] [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: 05/22/2024] [Revised: 10/02/2024] [Accepted: 10/07/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND Distal femoral diffusion tensor imaging (DTI) is a predictor of height gain but it is uncertain whether DTI can demonstrate differences in growth potential between the tibia and femur. OBJECTIVE To explore the differences in structure and growth potential of the proximal tibia physeal-metaphyseal complex compared to those of the distal femur through DTI tractographic characterization and DTI metric comparison. MATERIALS AND METHODS Prospective cross-sectional study involved 108 healthy children (59 females) aged 8-14 years (females) and 10-16 years (males) around the growth spurt. We acquired knee DTI once at 3 T with b-values of 0 s/mm2 and 600 s/mm2. Tract parameters including number, length, volume, and fractional anisotropy were measured. Regression analysis with linear and negative binomial models, incorporating bone age-based quadratic fitting, characterized DTI parameter changes in relation to bone age and sex, as well as variations between physes. Femorotibial ratios were calculated based on paired DTI parameter absolute values during peak height gain. The study was approved by the institutional review board of two tertiary pediatric centers in compliance with the Health Insurance Portability and Accountability Act. RESULTS Proximal tibial tracts were more numerous in the central physis, whereas distal femoral tracts predominated peripherally. Tract volume rose and fell during adolescence and peaked earlier in females (140-160 months vs. 160-180 months, P=0.02). At maximal height velocity (160 months), tibial tract volume (5.43 cc) was 37.4% of total knee tract volume (14.53 cc). Tibial fractional anisotropy decreased and then increased, both earlier than the femur. CONCLUSION Proximal tibial and distal femoral tract distributions differ. The tibia accounts for 37.4% of total knee tract volume during maximal height velocity. Tract volumes rise and fall, earlier in females. Tibiofemoral ratios of DTI metrics resemble known ratios of growth rates between tibia and femur.
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Affiliation(s)
- Laura Santos
- Columbia University Medical Center, 622 W 168Th St, New York, NY, 10032, USA.
| | | | | | - Jie Nguyen
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rumana Tokaria
- Columbia University Medical Center, 622 W 168Th St, New York, NY, 10032, USA
| | | | | | - Sachin Jambawalikar
- Columbia University Medical Center, 622 W 168Th St, New York, NY, 10032, USA
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Dragon JM, Santos L, Fennoy I, Jambawalikar SR, Jaramillo D. Diffusion tensor imaging shows increased physis organization after growth hormone initiation in hypophosphatasia. Skeletal Radiol 2024:10.1007/s00256-024-04767-4. [PMID: 39096374 DOI: 10.1007/s00256-024-04767-4] [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: 04/25/2024] [Revised: 07/19/2024] [Accepted: 07/22/2024] [Indexed: 08/05/2024]
Abstract
Hypophosphatasia is a rare heritable disorder of bone mineralization, with a spectrum of severity based on age of initial presentation. We describe the case of a 14-year-old boy with gene-confirmed inherited hypophosphatasia and growth hormone deficiency, who presented with short stature, unremarkable radiographs, and only minor physeal and metaphyseal changes on magnetic resonance (MR) imaging. Diffusion tensor imaging (DTI) before growth hormone initiation revealed abundant, non-parallel tracts in the physes and metaphyses with loss of the typical columnar organization. After 8 months of growth hormone treatment, DTI scans revealed realigned, nearly parallel, longer physeal tracts; duplication of tract volume; and decreased and more typical fractional anisotropy values. DTI can thus visualize physeal tract changes over time, could be a more sensitive diagnostic technique in milder physeal abnormality cases, and may be a potential marker of growth hormone treatment response.
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Affiliation(s)
- Jacqueline M Dragon
- Department of Radiology, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY, USA.
| | - Laura Santos
- Department of Radiology, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY, USA
| | - Ilene Fennoy
- Department of Pediatrics, Division of Pediatric Diabetes, Endocrinology, and Metabolism, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY, USA
| | - Sachin R Jambawalikar
- Department of Radiology, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY, USA
| | - Diego Jaramillo
- Department of Radiology, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY, USA
- Department of Radiology, Hospital for Special Surgery and Cornell University, New York, NY, USA
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4
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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; 54:1284-1293. [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] [MESH Headings] [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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Santos L, Hsu HY, Nelson RR, Sullivan B, Shin J, Fung M, Lebel MR, Jambawalikar S, Jaramillo D. Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial Resolutions. Tomography 2024; 10:504-519. [PMID: 38668397 PMCID: PMC11054892 DOI: 10.3390/tomography10040039] [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: 02/21/2024] [Revised: 03/25/2024] [Accepted: 03/29/2024] [Indexed: 04/29/2024] Open
Abstract
To assess the impact of a deep learning (DL) denoising reconstruction algorithm applied to identical patient scans acquired with two different voxel dimensions, representing distinct spatial resolutions, this IRB-approved prospective study was conducted at a tertiary pediatric center in compliance with the Health Insurance Portability and Accountability Act. A General Electric Signa Premier unit (GE Medical Systems, Milwaukee, WI) was employed to acquire two DTI (diffusion tensor imaging) sequences of the left knee on each child at 3T: an in-plane 2.0 × 2.0 mm2 with section thickness of 3.0 mm and a 2 mm3 isovolumetric voxel; neither had an intersection gap. For image acquisition, a multi-band DTI with a fat-suppressed single-shot spin-echo echo-planar sequence (20 non-collinear directions; b-values of 0 and 600 s/mm2) was utilized. The MR vendor-provided a commercially available DL model which was applied with 75% noise reduction settings to the same subject DTI sequences at different spatial resolutions. We compared DTI tract metrics from both DL-reconstructed scans and non-denoised scans for the femur and tibia at each spatial resolution. Differences were evaluated using Wilcoxon-signed ranked test and Bland-Altman plots. When comparing DL versus non-denoised diffusion metrics in femur and tibia using the 2 mm × 2 mm × 3 mm voxel dimension, there were no significant differences between tract count (p = 0.1, p = 0.14) tract volume (p = 0.1, p = 0.29) or tibial tract length (p = 0.16); femur tract length exhibited a significant difference (p < 0.01). All diffusion metrics (tract count, volume, length, and fractional anisotropy (FA)) derived from the DL-reconstructed scans, were significantly different from the non-denoised scan DTI metrics in both the femur and tibial physes using the 2 mm3 voxel size (p < 0.001). DL reconstruction resulted in a significant decrease in femorotibial FA for both voxel dimensions (p < 0.01). Leveraging denoising algorithms could address the drawbacks of lower signal-to-noise ratios (SNRs) associated with smaller voxel volumes and capitalize on their better spatial resolutions, allowing for more accurate quantification of diffusion metrics.
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Affiliation(s)
- Laura Santos
- Radiology Department, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Hao-Yun Hsu
- Radiology Department, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Ronald R. Nelson
- Radiology Department, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Brendan Sullivan
- Radiology Department, Columbia University Irving Medical Center, New York, NY 10032, USA
| | | | | | | | - Sachin Jambawalikar
- Radiology Department, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Diego Jaramillo
- Radiology Department, Columbia University Irving Medical Center, New York, NY 10032, USA
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6
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Duong PT, Santos L, Hsu HY, Jambawalikar S, Mutasa S, Nguyen MK, Guariento A, Jaramillo D. Deep Learning-Assisted Diffusion Tensor Imaging for Evaluation of the Physis and Metaphysis. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:756-765. [PMID: 38321313 PMCID: PMC11031540 DOI: 10.1007/s10278-024-00993-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 12/17/2023] [Accepted: 12/21/2023] [Indexed: 02/08/2024]
Abstract
Diffusion tensor imaging of physis and metaphysis can be used as a biomarker to predict height change in the pediatric population. Current application of this technique requires manual segmentation of the physis which is time-consuming and introduces interobserver variability. UNET Transformers (UNETR) can be used for automatic segmentation to optimize workflow. Three hundred and eighty-five DTI scans from 191 subjects with mean age of 12.6 years ± 2.01 years were retrospectively used for training and validation. The mean Dice correlation coefficient was 0.81 for the UNETR model and 0.68 for the UNET. Manual extraction and segmentation took 15 min per volume, whereas both deep learning segmentation techniques took < 1 s per volume and were deterministic, always producing the same result for a given input. Intraclass correlation coefficient (ICC) for ROI-derived femur diffusion metrics was excellent for tract count (0.95), volume (0.95), and FA (0.97), and good for tract length (0.87). The results support the hypothesis that a hybrid UNETR model can be trained to replace the manual segmentation of physeal DTI images, therefore automating the process.
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Affiliation(s)
- Phuong T Duong
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
| | - Laura Santos
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Hao-Yun Hsu
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Sachin Jambawalikar
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Michael K Nguyen
- Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Diego Jaramillo
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
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7
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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: 5] [Impact Index Per Article: 5.0] [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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8
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Kvist O, Santos LA, De Luca F, Jaramillo D. Can diffusion tensor imaging unlock the secrets of the growth plate? BJR Open 2024; 6:tzae005. [PMID: 38558926 PMCID: PMC10978376 DOI: 10.1093/bjro/tzae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 04/04/2024] Open
Abstract
"How tall will I be?" Every paediatrician has been asked this during their career. The growth plate is the main site of longitudinal growth of the long bones. The chondrocytes in the growth plate have a columnar pattern detectable by diffusion tensor imaging (DTI). DTI shows the diffusion of water in a tissue and whether it is iso- or anisotropic. By detecting direction and magnitude of diffusion, DTI gives information about the microstructure of the tissue. DTI metrics include tract volume, length, and number, fractional anisotropy (FA), and mean diffusivity. DTI metrics, particularly tract volume, provide quantitative data regarding skeletal growth and, in conjunction with the fractional anisotropy, be used to determine whether a growth plate is normal. Tractography is a visual display of the diffusion, depicting its direction and amplitude. Tractography gives a more qualitative visualization of cellular orientation in a tissue and reflects the activity in the growth plate. These two components of DTI can be used to assess the growth plate without ionizing radiation or pain. Further refinements in DTI will improve prediction of post-imaging growth and growth plate closure, and assessment of the positive and negative effect of treatments like cis-retinoic acid and growth hormone administration.
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Affiliation(s)
- Ola Kvist
- Department of Paediatric Radiology, Karolinska University Hospital, Stockholm, 171 64, Sweden
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, 171 77, Sweden
| | - Laura A Santos
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY 100 32, United States
| | - Francesca De Luca
- Department of Radiology, Karolinska University Hospital, Stockholm, 171 64, Sweden
- Department of Clinical Neuroscience, Karolinska University Hospital, Stockholm, 171 65, Sweden
| | - Diego Jaramillo
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY 100 32, United States
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9
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Santos LA, Sullivan B, Kvist O, Jambawalikar S, Mostoufi-Moab S, Raya JM, Nguyen J, Marin D, Delgado J, Tokaria R, Nelson RR, Kammen B, Jaramillo D. Diffusion tensor imaging of the physis: the ABC's. Pediatr Radiol 2023; 53:2355-2368. [PMID: 37658251 PMCID: PMC10859915 DOI: 10.1007/s00247-023-05753-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/03/2023]
Abstract
The physis, or growth plate, is the primary structure responsible for longitudinal growth of the long bones. Diffusion tensor imaging (DTI) is a technique that depicts the anisotropic motion of water molecules, or diffusion. When diffusion is limited by cellular membranes, information on tissue microstructure can be acquired. Tractography, the visual display of the direction and magnitude of water diffusion, provides qualitative visualization of complex cellular architecture as well as quantitative diffusion metrics that appear to indirectly reflect physeal activity. In the growing bones, DTI depicts the columns of cartilage and new bone in the physeal-metaphyseal complex. In this "How I do It", we will highlight the value of DTI as a clinical tool by presenting DTI tractography of the physeal-metaphyseal complex of children and adolescents during normal growth, illustrating variation in qualitative and quantitative tractography metrics with age and skeletal location. In addition, we will present tractography from patients with physeal dysfunction caused by growth hormone deficiency and physeal injury due to trauma, chemotherapy, and radiation therapy. Furthermore, we will delineate our process, or "DTI pipeline," from image acquisition to data interpretation.
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Affiliation(s)
- Laura A Santos
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY, USA.
| | - Brendan Sullivan
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY, USA
| | - Ola Kvist
- Pediatric Radiology Department, Karolinska University Hospital, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Sachin Jambawalikar
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY, USA
| | | | - Jose M Raya
- New York University Langone Health, New York, NY, USA
| | - Jie Nguyen
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Diana Marin
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY, USA
| | - Jorge Delgado
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rumana Tokaria
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY, USA
| | - Ronald R Nelson
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY, USA
| | - Bamidele Kammen
- University of California San Francisco, San Francisco, CA, USA
| | - Diego Jaramillo
- Department of Radiology, Columbia University Irvine Medical Center, New York, NY, USA
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10
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Kvist O, Dorniok T, Sanmartin Berglund J, Nilsson O, Flodmark CE, Diaz S. DTI assessment of the maturing growth plate of the knee in adolescents and young adults. Eur J Radiol 2023; 162:110759. [PMID: 36931119 DOI: 10.1016/j.ejrad.2023.110759] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/13/2023] [Accepted: 02/23/2023] [Indexed: 03/09/2023]
Abstract
PURPOSE To assess the growth plates of the knee in a healthy population of young adults and adolescents using DTI, and to correlate the findings with chronological age and skeletal maturation. METHODS A prospective, cross-sectional study to assess the tibial and femoral growth plates with DTI in 155 healthy volunteers aged between 14.0 and 21 years old. Echo-planar DTI with 15 directions and b value of 0 and 600 s/mm2 was performed on a 3 T whole-body scanner. RESULTS A relationship was observed between chronological age and most DTI metrics (fractional anisotropy, mean diffusivity, and radial diffusivity), tract length and volume. (No significant relationship could be seen for axonal diffusivity and tract length.) Subdivision according to skeletal maturation showed the greatest tract lengths and volumes seen in stage 4b and not 4a. The intra-observer agreement was significant (P = 0.01) for all the measured variables, but agreement varied (femur 0.53 - 0.98; tibia 0.58 - 0.98). Spearman's correlation showed a significant correlation for age (P = 0.05; P = 0.01) as well as for the fractional anisotropy value within all variables in both femur and tibia. Tract number and volume had a similar correlation with most variables, especially the DTI metrics, and would seem to be interchangeable. CONCLUSION The current study indicates that DTI metrics could be a tool to assess the skeletal maturation process of the growth plate and its activity. Tractography seems promising to assess the activity of the growth plate in a younger population but must be used with caution in the more mature growth plate.
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Affiliation(s)
- Ola Kvist
- Department of Paediatric Radiology, Karolinska University Hospital, Stockholm, Sweden; Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
| | - Torsten Dorniok
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden.
| | | | - Ola Nilsson
- Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden; School of Medical Sciences and Department of Paediatrics, Örebro University and University Hospital, Örebro, Sweden.
| | - Carl-Erik Flodmark
- Department of Clinical Sciences in Malmö, Lunds University, Lund, Sweden.
| | - Sandra Diaz
- Department of Paediatric Radiology, Karolinska University Hospital, Stockholm, Sweden; Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden; Department of Radiology, Lunds University, Lund, Sweden.
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11
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Kvist O, Damberg P, Dou Z, Berglund JS, Flodmark C, Nilsson O, Diaz S. Magnetic resonance and diffusion tensor imaging of the adolescent rabbit growth plate of the knee. Magn Reson Med 2023; 89:331-342. [PMID: 36110062 PMCID: PMC9826331 DOI: 10.1002/mrm.29432] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 08/09/2022] [Accepted: 08/09/2022] [Indexed: 01/11/2023]
Abstract
PURPOSE To assess the ability of MRI-DTI to evaluate growth plate morphology and activity compared with that of histomorphometry and micro-CT in rabbits. METHODS The hind limbs of female rabbits aged 16, 20, and 24 wk (n = 4 per age group) were studied using a 9.4T MRI scanner with a multi-gradient echo 3D sequence and DTI in 14 directions (b-value = 984 s/mm2 ). After MRI, the right and left hind limb were processed for histological analysis and micro-CT, respectively. The Wilcoxon signed-rank test was used to evaluate the height and volume of the growth plate. Intraclass correlation and Pearson correlation coefficient were used to evaluate the association between DTI metrics and age. RESULTS The growth plate height and volume were similar for all modalities at each time point and age. Age was correlated with all tractography and DTI metrics in both the femur and tibia. A correlation was also observed between all the metrics at both sites. Tract number and volume declined with age; however, tract length did not show any changes. The fractional anisotropy color map showed lateral diffusion centrally in the growth plate and perpendicular diffusion in the hypertrophic zone, as verified by histology and micro-CT. CONCLUSION MRI-DTI may be useful for evaluating the growth plates.
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Affiliation(s)
- Ola Kvist
- Department of Paediatric RadiologyKarolinska University Hospital
StockholmSweden,Department of Women's and Children's HealthKarolinska InstituteStockholmSweden
| | - Peter Damberg
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Zelong Dou
- Department of Women's and Children's HealthKarolinska InstituteStockholmSweden
| | | | | | - Ola Nilsson
- Department of Women's and Children's HealthKarolinska InstituteStockholmSweden,School of Medical SciencesÖrebro UniversityÖrebroSweden
| | - Sandra Diaz
- Department of Paediatric RadiologyKarolinska University Hospital
StockholmSweden,Department of Women's and Children's HealthKarolinska InstituteStockholmSweden,Department of RadiologyLunds UniversityLundSweden
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12
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Jaramillo D, Duong P, Nguyen JC, Mostoufi-Moab S, Nguyen MK, Moreau A, Barrera CA, Hong S, Raya JG. Diffusion Tensor Imaging of the Knee to Predict Childhood Growth. Radiology 2022; 303:655-663. [PMID: 35315716 PMCID: PMC9131176 DOI: 10.1148/radiol.210484] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 12/15/2021] [Accepted: 01/19/2022] [Indexed: 01/16/2023]
Abstract
Background Accurate and precise methods to predict growth remain lacking. Diffusion tensor imaging (DTI) depicts the columnar structure of the physis and metaphyseal spongiosa and provides measures of tract volume and length that may help predict growth. Purpose To validate physeal DTI metrics as predictors of height velocity (1-year height gain from time of MRI examination) and total height gain (height gain from time of MRI examination until growth stops) and compare the prediction accuracy with bone age-based models. Materials and Methods Femoral DTI studies (b values = 0 and 600 sec/mm2; directions = 20) of healthy children who underwent MRI of the knee between February 2012 and December 2016 were retrospectively analyzed. Children with height measured at MRI and either 1 year later (height velocity) or after growth cessation (total height gain, mean = 34 months from MRI) were included. Physeal DTI tract volume and length were correlated with height velocity and total height gain. Multilinear regression was used to assess the potential of DTI metrics in the prediction of both parameters. Bland-Altman plots were used to compare root mean square error (RMSE) and bias in height prediction using DTI versus bone age methods. Results Eighty-nine children (mean age, 13 years ± 3 [SD]; 47 boys) had height velocity measured, and 70 (mean age, 14 years ± 1; 36 girls) had total height gain measured. Tract volumes correlated with height velocity (r2 = 0.49) and total height gain (r2 = 0.46) (P < .001 for both) after controlling for age and sex. Tract volume was the strongest predictor for height velocity and total height gain. An optimal multilinear model including tract volume improved prediction of height velocity (R2 = 0.63, RMSE = 1.7 cm) and total height gain (R2 = 0.59, RMSE = 1.8 cm) compared with bone age-based methods (height velocity: R2 = 0.32, RMSE = 2.9 cm; total height gain: R2 = 0.42, RMSE = 5.0 cm). Conclusion Models using tract volume derived from diffusion tensor imaging may perform better than bone age-based models in children for the prediction of height velocity and total height gain. © RSNA, 2022.
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Affiliation(s)
- Diego Jaramillo
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - Phuong Duong
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - Jie C. Nguyen
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - Sogol Mostoufi-Moab
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - Michael K. Nguyen
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - Andrew Moreau
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - Christian A. Barrera
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - Shijie Hong
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
| | - José G. Raya
- From the Department of Radiology, Columbia University Medical Center,
630 W 168th St, MC 28, New York, NY 10032 (D.J., P.D.); Department of Radiology
(J.C.N., M.K.N., S.H.) and Division of Oncology (S.M.M., A.M.),
Children’s Hospital of Philadelphia, Philadelphia, Pa; Department of
Radiology, Massachusetts General Hospital, Boston, Mass (C.A.B.); and Department
of Radiology, NYU Grossman School of Medicine, New York, NY (J.G.R.)
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13
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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: 0.7] [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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14
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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: 11] [Impact Index Per Article: 2.8] [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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15
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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: 9] [Impact Index Per Article: 2.3] [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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16
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Affiliation(s)
- Nancy A Chauvin
- Department of Pediatric Radiology, Penn State Health Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, PA.
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17
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Duong P, Mostoufi-Moab S, Raya JG, Jaimes C, Delgado J, Jaramillo D. Imaging Biomarkers of the Physis: Cartilage Volume on MRI vs. Tract Volume and Length on Diffusion Tensor Imaging. J Magn Reson Imaging 2020; 52:544-551. [PMID: 32039525 DOI: 10.1002/jmri.27076] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 01/14/2020] [Accepted: 01/15/2020] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Current methods to predict height and growth failure are imprecise. MRI measures of physeal cartilage are promising biomarkers for growth. PURPOSE In the physis, to assess how 3D MRI volume measurements, and diffusion tensor imaging (DTI) measurements (tract volume and length) correlate with growth parameters and detect differences in growth. We compared patients exposed to cis-retinoic acid, which causes physeal damage and growth failure, with normal subjects. STUDY TYPE Case-control. POPULATION Twenty pediatric neuroblastoma survivors treated with cis-retinoic acid and 20 age- and sex-matched controls. FIELD STRENGTH/SEQUENCE 3T; DTI and 3D double-echo steady-state (DESS) sequences. ASSESSMENT On distal femoral MR studies, physeal 3D volume and DTI tract measurements were calculated and compared to height. STATISTICAL TESTS We used partial Spearman correlation, analysis of covariance, logistic regression, Wald test, and the intraclass correlation coefficient (ICC). RESULTS The height percentile correlated most strongly with DTI tract volumes (r = 0.74), followed by mean tract length (r = 0.53) and 3D volume (r = 0.40) (all P < 0.02). Only tract volumes and lengths correlated with annualized growth velocity. Relative to controls, patients showed smaller tract volumes (8.00 cc vs. 13.71 cc, P < 0.01), shorter tract lengths (5.92 mm vs 6.99 mm, P = 0.03), and smaller ratios of 3D cartilage volume to tract length; but no difference (4.51 cc vs 4.85 cc) in 3D MRI volumes. The 10 patients with the lowest height percentiles had smaller tract volumes (5.07 cc vs. 10.93 cc, P < 0.01), but not significantly different 3D MRI volumes. Tract volume is associated with abnormal growth, with an accuracy of 75%. DATA CONCLUSION DTI tract volume of the physis/metaphysis predicts abnormal growth better than physeal cartilage volumetric measurement and correlates best with height percentile and growth velocity. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2 J. Magn. Reson. Imaging 2020;52:544-551.
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Affiliation(s)
- Phuong Duong
- Department of Radiology, Columbia University Medical Center, New York, New York, USA
| | - Sogol Mostoufi-Moab
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - José G Raya
- Department of Radiology, NYU Langone Medical Center, New York, New York, USA
| | - Camilo Jaimes
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Jorge Delgado
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Diego Jaramillo
- Department of Radiology, Columbia University Medical Center, New York, New York, USA
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18
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Wang N, Mirando AJ, Cofer G, Qi Y, Hilton MJ, Johnson GA. Characterization complex collagen fiber architecture in knee joint using high-resolution diffusion imaging. Magn Reson Med 2020; 84:908-919. [PMID: 31962373 DOI: 10.1002/mrm.28181] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 01/02/2020] [Accepted: 01/03/2020] [Indexed: 12/26/2022]
Abstract
PURPOSE To evaluate the complex fiber orientations and 3D collagen fiber network of knee joint connective tissues, including ligaments, muscle, articular cartilage, and meniscus using high spatial and angular resolution diffusion imaging. METHODS Two rat knee joints were scanned using a modified 3D diffusion-weighted spin echo pulse sequence with the isotropic spatial resolution of 45 μm at 9.4T. The b values varied from 250 to 1250 s/mm2 with 31 diffusion encoding directions for 1 rat knee. The b value was fixed to 1000 s/mm2 with 147 diffusion encoding directions for the second knee. Both the diffusion tensor imaging (DTI) model and generalized Q-sampling imaging (GQI) method were used to investigate the fiber orientation distributions and tractography with the validation of polarized light microscopy. RESULTS To better resolve the crossing fibers, the b value should be great than or equal to 1000 s/mm2 . The tractography results were comparable between the DTI model and GQI method in ligament and muscle. However, the tractography exhibited apparent difference between DTI and GQI in connective tissues with more complex collagen fibers network, such as cartilage and meniscus. In articular cartilage, there were numerous crossing fibers found in superficial zone and transitional zone. Tractography generated with GQI also resulted in more intact tracts in articular cartilage than DTI. CONCLUSION High-resolution diffusion imaging with GQI method can trace the complex collagen fiber orientations and architectures of the knee joint at microscopic resolution.
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Affiliation(s)
- Nian Wang
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina.,Department of Radiology, Duke University School of Medicine, Durham, North Carolina
| | - Anthony J Mirando
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Gary Cofer
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina
| | - Yi Qi
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina
| | - Matthew J Hilton
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Cell Biology, Duke University School of Medicine, Durham, North Carolina
| | - G Allan Johnson
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina.,Department of Radiology, Duke University School of Medicine, Durham, North Carolina
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Barrera CA, Bedoya MA, Delgado J, Berman JI, Chauvin NA, Edgar JC, Jaramillo D. Correlation between diffusion tensor imaging parameters of the distal femoral physis and adjacent metaphysis, and subsequent adolescent growth. Pediatr Radiol 2019; 49:1192-1200. [PMID: 31177318 DOI: 10.1007/s00247-019-04443-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 04/04/2019] [Accepted: 05/28/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Diffusion-tensor imaging (DTI) depicts the movement of water through columns of cartilage and newly formed bone and provides information about velocity of growth and growth potential. OBJECTIVE To determine the correlation between DTI tractography parameters of the distal femoral physis and metaphysis and the height change after DTI in pubertal and post-pubertal children. MATERIALS AND METHODS We retrospectively analyzed DTI images of the knee in 47 children with a mean age of 14.1 years in a 2-year period. In sagittal echoplanar DTI studies, regions of interest were placed in the femoral physis. Tractography was performed using a fractional anisotropy threshold of 0.15 and a maximum turning angle of 40°. The sample was divided to assess short-term and long-term growth after DTI. Short-term growth (n=25) was the height change between height at MRI and 1 year later. Long-term growth (n=36) was the height gain between height at MRI and at the growth plateau. RESULTS For the short-term group, subjects with larger tract volume (R2=0.40) and longer track lengths (R2=0.38) had larger height gains (P<0.01). For the long-term group, subjects with larger tract volume (R2=0.43) and longer track lengths (R2=0.32) had a larger height gain at the growth plateau (P<0.01). Intra- and inter-observer variability were good-excellent. CONCLUSION Follow-up data of growth 1 year after DTI evaluation and at skeletal maturity confirms that DTI parameters are associated with the amount of post-imaging growth.
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Affiliation(s)
- Christian A Barrera
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Maria A Bedoya
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jorge Delgado
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jeffrey I Berman
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nancy A Chauvin
- Department of Radiology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - J Christopher Edgar
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Diego Jaramillo
- Department of Radiology, Columbia University Medical Center, 630 W. 168th St., MC 28, New York, NY, 10032, USA.
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Delgado J, Jaramillo D, Chauvin NA, Guo M, Stratton MS, Sweeney HE, Barrera CA, Mostoufi-Moab S. Evaluating growth failure with diffusion tensor imaging in pediatric survivors of high-risk neuroblastoma treated with high-dose cis-retinoic acid. Pediatr Radiol 2019; 49:1056-1065. [PMID: 31055614 PMCID: PMC6599475 DOI: 10.1007/s00247-019-04409-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 03/09/2019] [Accepted: 04/11/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND The survival of patients with high-risk neuroblastoma has increased with multimodal therapy, but most survivors demonstrate growth failure. OBJECTIVE To assess physeal abnormalities in children with high-risk neuroblastoma in comparison to normal controls by using diffusion tensor imaging (DTI) of the distal femoral physis and adjacent metaphysis. MATERIALS AND METHODS We prospectively obtained physeal DTI at 3.0 T in 20 subjects (mean age: 12.4 years, 7 females) with high-risk neuroblastoma treated with high-dose cis-retinoic acid, and 20 age- and gender-matched controls. We compared fractional anisotropy (FA), normalized tract volume (cm3/cm2) and tract concentration (tracts/cm2) between the groups, in relation to height Z-score and response to growth hormone therapy. Tractography images were evaluated qualitatively. RESULTS DTI parameters were significantly lower in high-risk neuroblastoma survivors compared to controls (P<0.01), particularly if the patients were exposed to both cis-retinoic acid and total body irradiation (P<0.05). For survivors and controls, DTI values were respectively [mean ± standard deviation]: tract concentration (tracts/cm2), 23.2±14.7 and 36.7±10.5; normalized tract volume (cm3/cm2), 0.44±0.27 and 0.70±0.21, and FA, 0.22±0.05 and 0.26±0.02. High-risk neuroblastoma survivors responding to growth hormone compared to non-responders had higher FA (0.25±0.04 and 0.18±0.03, respectively, P=0.02), and tract concentration (tracts/cm2) (31.4±13.7 and 14.8±7.9, respectively, P<0.05). FA, normalized tract volume and tract concentration were linearly related to height Z-score (R2>0.31; P<0.001). Qualitatively, tracts were nearly absent in all non-responders to growth hormone and abundant in all responders (P=0.02). CONCLUSION DTI shows physeal abnormalities that correlate with short stature in high-risk neuroblastoma survivors and demonstrates response to growth hormone treatment.
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Affiliation(s)
- Jorge Delgado
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Diego Jaramillo
- Department of Radiology, Columbia University Medical Center, New York, NY, USA
| | - Nancy A. Chauvin
- Department of Radiology, Penn State Medical Center, Hershey, PA, USA
| | - Michelle Guo
- Division of Oncology, Department of Pediatrics, The Children’s Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA
| | - Mackenzie S. Stratton
- Division of Oncology, Department of Pediatrics, The Children’s Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA
| | - Hannah E. Sweeney
- Division of Oncology, Department of Pediatrics, The Children’s Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA
| | - Christian A. Barrera
- Department of Radiology, The Children’s Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA
| | - Sogol Mostoufi-Moab
- Division of Oncology, Department of Pediatrics, The Children's Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA. .,Division of Endocrinology, Department of Pediatrics, The Children's Hospital of Philadelphia, Perelman School of Medicine, 2716 South St., 14th Floor, Philadelphia, PA, 19146, USA.
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Wang N, Mirando AJ, Cofer G, Qi Y, Hilton MJ, Johnson GA. Diffusion tractography of the rat knee at microscopic resolution. Magn Reson Med 2019; 81:3775-3786. [PMID: 30671998 DOI: 10.1002/mrm.27652] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 12/05/2018] [Accepted: 12/09/2018] [Indexed: 12/11/2022]
Abstract
PURPOSE To evaluate whole knee joint tractography, including articular cartilage, ligaments, meniscus, and growth plate using diffusion tensor imaging (DTI) at microscopic resolution. METHODS Three rat knee joints were scanned using a modified 3D diffusion-weighted spin echo pulse sequence with 90- and 45-μm isotropic spatial resolution at 9.4T. The b values varied from 250 to 1250 s/mm2 with 4 times undersampling in phase directions. Fractional anisotropy (FA) and mean diffusivity (MD) were compared at different spatial resolution and b values. Tractography was evaluated at multiple b values and angular resolutions in different connective tissues, and compared with conventional histology. The mean tract length and tract volume in various types of tissues were also quantified. RESULTS DTI metrics (FA and MD) showed consistent quantitative results at 90- and 45-μm isotropic spatial resolutions. Tractography of various connective tissues was found to be sensitive to the spatial resolution, angular resolution, and diffusion weightings. Higher spatial resolution (45 μm) supported tracking the cartilage collagen fiber tracts from the superficial zone to the deep zone, in a continuous and smooth progression in the transitional zone. Fiber length and fiber volume in the growth plate were strongly dependent on angular resolution and b values, whereas tractography in ligaments was found to be less dependent on spatial resolution. CONCLUSION High spatial and angular resolution DTI and diffusion tractography can be valuable for knee joint research because of its visualization capacity for collagen fiber orientations and quantitative evaluation of tissue's microscopic properties.
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Affiliation(s)
- Nian Wang
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina.,Department of Radiology, Duke University School of Medicine, Durham, North Carolina
| | - Anthony J Mirando
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Gary Cofer
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina
| | - Yi Qi
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina
| | - Matthew J Hilton
- Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Cell Biology, Duke University School of Medicine, Durham, North Carolina
| | - G Allan Johnson
- Center for In Vivo Microscopy, Duke University School of Medicine, Durham, North Carolina.,Department of Radiology, Duke University School of Medicine, Durham, North Carolina
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