Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics
Background Assessment of treatment response by measuring tumor size is known to be a late and potentially confounded response index. Serial diffusion MRI has shown potential for allowing earlier and possibly more reliable response assessment in adult patients, with limited experience in clinical...
| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Oxford University Press
2013
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| Online Access: | https://eprints.nottingham.ac.uk/38889/ |
| _version_ | 1848795713995014144 |
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| author | Rodriguez Gutierrez, D. Manita, M. Jaspan, T. Dineen, Robert A. Grundy, Richard G. Auer, Dorothee P. |
| author_facet | Rodriguez Gutierrez, D. Manita, M. Jaspan, T. Dineen, Robert A. Grundy, Richard G. Auer, Dorothee P. |
| author_sort | Rodriguez Gutierrez, D. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Background
Assessment of treatment response by measuring tumor size is known to be a late and potentially confounded response index. Serial diffusion MRI has shown potential for allowing earlier and possibly more reliable response assessment in adult patients, with limited experience in clinical settings and in pediatric brain cancer. We present a retrospective study of clinical MRI data in children with high-grade brain tumors to assess and compare the values of several diffusion change metrics to predict treatment response.
Methods
Eighteen patients (age range, 1.9–20.6 years) with high-grade brain tumors and serial diffusion MRI (pre- and posttreatment interval range, 1–16 weeks posttreatment) were identified after obtaining parental consent. The following diffusion change metrics were compared with the clinical response status assessed at 6 months: (1) regional change in absolute and normalized apparent diffusivity coefficient (ADC), (2) voxel-based fractional volume of increased (fiADC) and decreased ADC (fdADC), and (3) a new metric based on the slope of the first principal component of functional diffusion maps (fDM).
Results
Responders (n = 12) differed significantly from nonresponders (n = 6) in all 3 diffusional change metrics demonstrating higher regional ADC increase, larger fiADC, and steeper slopes (P < .05). The slope method allowed the best response prediction (P < .01, η2 = 0.78) with a classification accuracy of 83% for a slope of 58° using receiver operating characteristic (ROC) analysis.
Conclusions
We demonstrate that diffusion change metrics are suitable response predictors for high-grade pediatric tumors, even in the presence of variable clinical diffusion imaging protocols. |
| first_indexed | 2025-11-14T19:36:28Z |
| format | Article |
| id | nottingham-38889 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:36:28Z |
| publishDate | 2013 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-388892020-05-04T16:36:27Z https://eprints.nottingham.ac.uk/38889/ Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics Rodriguez Gutierrez, D. Manita, M. Jaspan, T. Dineen, Robert A. Grundy, Richard G. Auer, Dorothee P. Background Assessment of treatment response by measuring tumor size is known to be a late and potentially confounded response index. Serial diffusion MRI has shown potential for allowing earlier and possibly more reliable response assessment in adult patients, with limited experience in clinical settings and in pediatric brain cancer. We present a retrospective study of clinical MRI data in children with high-grade brain tumors to assess and compare the values of several diffusion change metrics to predict treatment response. Methods Eighteen patients (age range, 1.9–20.6 years) with high-grade brain tumors and serial diffusion MRI (pre- and posttreatment interval range, 1–16 weeks posttreatment) were identified after obtaining parental consent. The following diffusion change metrics were compared with the clinical response status assessed at 6 months: (1) regional change in absolute and normalized apparent diffusivity coefficient (ADC), (2) voxel-based fractional volume of increased (fiADC) and decreased ADC (fdADC), and (3) a new metric based on the slope of the first principal component of functional diffusion maps (fDM). Results Responders (n = 12) differed significantly from nonresponders (n = 6) in all 3 diffusional change metrics demonstrating higher regional ADC increase, larger fiADC, and steeper slopes (P < .05). The slope method allowed the best response prediction (P < .01, η2 = 0.78) with a classification accuracy of 83% for a slope of 58° using receiver operating characteristic (ROC) analysis. Conclusions We demonstrate that diffusion change metrics are suitable response predictors for high-grade pediatric tumors, even in the presence of variable clinical diffusion imaging protocols. Oxford University Press 2013-04-12 Article PeerReviewed Rodriguez Gutierrez, D., Manita, M., Jaspan, T., Dineen, Robert A., Grundy, Richard G. and Auer, Dorothee P. (2013) Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics. Neuro-Oncology, 15 (8). pp. 981-989. ISSN 1523-5866 ADC fDM Pediatric tumor Response prediction Serial diffusion. http://dx.doi.org/10.1093/neuonc/not034 doi:10.1093/neuonc/not034 doi:10.1093/neuonc/not034 |
| spellingShingle | ADC fDM Pediatric tumor Response prediction Serial diffusion. Rodriguez Gutierrez, D. Manita, M. Jaspan, T. Dineen, Robert A. Grundy, Richard G. Auer, Dorothee P. Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics |
| title | Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics |
| title_full | Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics |
| title_fullStr | Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics |
| title_full_unstemmed | Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics |
| title_short | Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics |
| title_sort | serial mr diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics |
| topic | ADC fDM Pediatric tumor Response prediction Serial diffusion. |
| url | https://eprints.nottingham.ac.uk/38889/ https://eprints.nottingham.ac.uk/38889/ https://eprints.nottingham.ac.uk/38889/ |