Diffusion Tensor Imaging of the Knee to Predict Childhood                     Growth

Jaramillo, Diego; Duong, Phuong; Nguyen, Jie C.; Mostoufi‐Moab, Sogol; Nguyen, Michael K.; Moreau, Andrew; Barrera, Christian A.; Hong, Shijie; Raya, José G.

doi:10.1148/radiol.210484

Cited by 13 publications

(13 citation statements)

References 25 publications

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“…It is noteworthy that with our technical settings, we still see visible tracts and measurable DTI metrics. This further strengthens the thesis that DTI can detect tracts in clinical patients with even larger voxels and lower b ‐values than that previously reported 17,20‐22,37 …”

Section: Discussionsupporting

confidence: 88%

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Magnetic resonance and diffusion tensor imaging of the adolescent rabbit growth plate of the knee

Kvist

Damberg

Dou

et al. 2022

Magnetic Resonance in Med

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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/mm 2 ). 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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Section: Discussionsupporting

confidence: 88%

“…This further strengthens the thesis that DTI can detect tracts in clinical patients with even larger voxels and lower b ‐values than that previously reported. 17 , 20 , 21 , 22 , 37 …”

Section: Discussionmentioning

confidence: 99%

Magnetic resonance and diffusion tensor imaging of the adolescent rabbit growth plate of the knee

Kvist

Damberg

Dou

et al. 2022

Magnetic Resonance in Med

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“…26 Predictive performance was quantified with the coefficient of determination ( R 2 ) and the root mean square error (RMSE). 12 A good, moderate, or poor fit was considered if R 2 was >0.75 to 1.00, >0.50 to 0.75, or 0.00 to 0.50, respectively. 25,35 A higher R 2 and lower RMSE indicate a better goodness of fit for prediction accuracy.…”

Section: Methodsmentioning

confidence: 99%

“…25,35 A higher R 2 and lower RMSE indicate a better goodness of fit for prediction accuracy. 12 Bland-Altman plots were used to assess percentages of the differences (bias) between the measured Global-FI ( measured Global-FI) and regression model–predicted Global-FI ( predicted Global-FI) by the 3 assessment tools, with the 95% limits of agreement (LOA) as the mean bias ± 1.96 SD and the clinically acceptable LOA as ±10% of the mean bias. 2,21 Agreement between predicted and measured Global-FI was further quantified by SD%, the standard deviation of the percentage difference (| predicted Global-FI – measured Global-FI|/ measured Global-FI × 100%), with a smaller SD% indicating better agreement and a clinically acceptable SD% of <10%.…”

Section: Methodsmentioning

confidence: 99%

The Modified Assessment Tool Based on Scapular Y-View for Global Fatty Infiltration in the Supraspinatus Muscle: Correlation, Predictive Performance, and Reliability Analyses

Liu

Han

et al. 2023

Am J Sports Med

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Background: The accurate evaluation of rotator cuff (RC) fatty degeneration after tears is critical for appropriate surgical decision making and prognosis. However, there is currently no reliable and practical tool to reflect the global fatty infiltration (Global-FI) throughout the 3-dimensional (3D) volumetric RC muscles. Purpose: (1) To determine the correlations between 2 modified assessment tools and the Global-FI and their predictive performances and reliabilities for Global-FI prediction, and (2) to compare these predictive parameters with those of the conventional tool using a single scapular Y-view slice. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: A total of 49 patients with full-thickness RC tears scheduled to undergo arthroscopic repairs were included, and their surgical shoulders underwent 6-point Dixon magnetic resonance imaging preoperatively. The Global-FI was measured by calculating the 3D-volumetric fat fraction (FF) of the whole supraspinatus muscle through all acquired oblique sagittal slices. As a commonly used radiological landmark, the scapular Y-view was used to evaluate single-plane fatty infiltration (Y-FI) by calculating the FF in 1 slice, defined as the conventional assessment tool. Two modified assessment tools expand the analytic imaging by integrating the FFs from the scapular Y-view slice and its neighboring slices, which were calculated by averaging the FFs of these 3 slices (meanY3-FI) and accumulating local 3D-volumetric FFs from 3 slices (volY3-FI), respectively. The correlations between 3 assessment tools and the Global-FI were analyzed, and the predictive performance for Global-FI prediction using these tools was determined by goodness of fit and agreement. Moreover, the inter- and intraobserver reliabilities of these assessment tools were evaluated. Similar analyses were performed in the small-medium, large, or massive tear subgroups. Results: The Y-FI was significantly higher than the Global-FI in all cases and tear size subgroups, while the 2 modified assessment tools (meanY3-FI and volY3-FI) did not significantly differ from the Global-FI. All assessment tools were significantly correlated with the Global-FI, but the meanY3-FI and volY3-FI showed stronger correlations than the Y-FI, which was also determined in different tear sizes. Moreover, the regression models of the meanY3-FI and volY3-FI showed superior goodness of fit to Y-FI in Global-FI prediction in all cases and subgroups, with larger coefficients of determination ( R2) and smaller root mean square errors. The predicted Global-FI using the regression model of volY3-FI had the best agreement with the measured Global-FI, followed by the meanY3-FI, both showing smaller biases and standard deviation of the percentage difference between predicted- and measured Global-FI than the conventional Y-FI. In addition, the 2 modified assessment tools achieved better interobserver and intraobserver reliabilities than the conventional tool in all cases and subgroups. Conclusion: Two modified assessment tools (meanY3-FI and volY3-FI) were comparable with the Global-FI of the whole supraspinatus muscle, showing stronger correlations with the Global-FI and better predictive performances and reliabilities than the conventional tool (Y-FI). Moreover, the volY3-FI was slightly superior to meanY3-FI in the predictive performance and reliability.

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“…The relationship between SAU-FI (the predictor variable) and overall FI (the outcome variable) was evaluated by linear regression 25 . The predictive performance of each SAU-FI was assessed on the basis of agreement and goodness-of-fit, which were quantified with the coefficient of determination (R 2 ) and the root-mean-square error (RMSE), respectively 26 . Fit was considered good, moderate, or poor if R 2 was 0.75 to 1.00, 0.50 to <0.75, or 0.00 to <0.50, respectively 27,28 .…”

Section: Methodsmentioning

confidence: 99%

The 3-Dimensional Fatty Infiltration in the Overall Supraspinatus Can Be Predicted by Localized Sectional Accumulation Units

Liu

Qiao

et al. 2023

Journal of Bone and Joint Surgery

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Background: Fatty infiltration (FI) of the rotator cuff (RC) muscles is one of the most common risk factors for a retear following RC repair. Recent methodological developments focus on using 3-dimensional measurements of the overall FI of RC muscles instead of using single-plane-based measurements. However, the required labor-intensive segmentation and time-consuming post-processing steps need to be optimized for routine clinical use. Methods:We collected all 6-point Dixon magnetic resonance imaging (MRI) slices of the overall supraspinatus in 46 patients with atraumatic small-to-massive RC tears. Using emerging techniques, the overall 3-dimensional FI of the supraspinatus (overall FI, using all N slices) was assessed as the reference. Each sagittal segment of the supraspinatus was defined as a sectional accumulation unit (SAU). The localized FI in SAUs with different scales of N/3, N/6, and N/12 slices (SAU-FIs) was then calculated using piecewise accumulation by stacking neighboring slices after the overall supraspinatus had been sequentially segmented using MRI slices of the same thickness. The capacity of the SAU-FIs to predict the overall FI, and the ideal locations for prediction, were evaluated using linear regression models after the associations were examined. Goodness-of-fit of the regression models was appraised by the coefficient of determination (R 2 ) and root-mean-square error (RMSE). The agreement between the predicted and measured overall FI was assessed using Bland-Altman analysis and the standard deviation of the percent differences (sd%).Results: The localized SAU-FIs of the N/3, N/6, and N/12 SAUs generally displayed comparable distributions throughout the normalized distal-proximal long axis of the supraspinatus. The localized SAU-FIs showed substantial correspondence with the overall FI, and the highest correlations were found in the 2/3 SAU (Pearson r and Spearman r: 0.95, 0.98), 3/6 and 4/6 SAUs (Pearson r and Spearman r: 0.97), and 5/12 to 7/12 SAUs (Pearson r and Spearman r: 0.95 to 0.96). The strongest predictors to estimate the overall supraspinatus FI in the regression analysis were these SAU-FIs located in the middle third, which demonstrated good fits to the overall FI (all R 2 ‡ 0.90; RMSE £ 1.69). The best agreements between the overall FI predicted by the regression models and the measured overall FI were found in these SAUs (2/3 SAU: sd% = 4.84%; 3/6 and 4/6 SAUs: sd% = 5.14%; 5/12 to 7/12 SAUs: sd% = 6.44%).Conclusions: Specific SAUs near the center of the supraspinatus (2/3, 3/6 and 4/6, and 5/12 to 7/12 SAUs), which displayed the best agreement between the predictions and actual measurements of overall FI values, can serve as appropriate surrogates to estimate the overall FI of the supraspinatus in small-to-massive RC tears. The potential to assess the overall FI of the supraspinatus using specific localized SAUs may improve the speed of analytical strategies for accurately assessing the overall FI of RC muscles and thus enable their routine clinical use in the future.

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Diffusion Tensor Imaging of the Knee to Predict Childhood Growth

Cited by 13 publications

References 25 publications

Magnetic resonance and diffusion tensor imaging of the adolescent rabbit growth plate of the knee

Magnetic resonance and diffusion tensor imaging of the adolescent rabbit growth plate of the knee

The Modified Assessment Tool Based on Scapular Y-View for Global Fatty Infiltration in the Supraspinatus Muscle: Correlation, Predictive Performance, and Reliability Analyses

The 3-Dimensional Fatty Infiltration in the Overall Supraspinatus Can Be Predicted by Localized Sectional Accumulation Units

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