Differentiating low‐ and high‐grade pediatric brain tumors using a continuous‐time random‐walk diffusion model at high b‐values. Issue 4 (31st October 2015)
- Record Type:
- Journal Article
- Title:
- Differentiating low‐ and high‐grade pediatric brain tumors using a continuous‐time random‐walk diffusion model at high b‐values. Issue 4 (31st October 2015)
- Main Title:
- Differentiating low‐ and high‐grade pediatric brain tumors using a continuous‐time random‐walk diffusion model at high b‐values
- Authors:
- Karaman, M. Muge
Sui, Yi
Wang, He
Magin, Richard L.
Li, Yuhua
Zhou, Xiaohong Joe - Abstract:
- Abstract : Purpose: To demonstrate that a continuous‐time random‐walk (CTRW) diffusion model can improve diagnostic accuracy of differentiating low‐ and high‐grade pediatric brain tumors. Methods: Fifty‐four children with histopathologically confirmed brain tumors underwent diffusion MRI scans at 3Twith 12 b ‐values (0‐4000 s/mm 2 ). The diffusion imageswere fit to a simplified CTRW model to extract anomalous diffusion coefficient, Dm, and temporal and spatial heterogeneity parameters, α and β, respectively. Using histopathology results as reference, a k ‐means clustering algorithm and a receiver operating characteristic (ROC) analysis were employed to determine the sensitivity, specificity, and diagnostic accuracy of the CTRW parameters in differentiating tumor grades. Results: Significant differences between the low‐ and high‐grade tumors were observed in the CTRW parameters ( p ‐values<0.001). The k ‐means analysis showed that the combination of three CTRW parameters produced higher diagnostic accuracy (85% vs. 75%) and specificity (83% vs. 54%) than the apparent diffusion coefficient (ADC) from a mono‐exponential model. The ROC analysis revealed that any combination of the CTRW parameters gave a larger area under the curve (0.90‐0.96) than using ADC (0.80). Conclusion: With its sensitivity to intravoxel heterogeneity, the simplified CTRW model is useful for non‐invasive grading of pediatric brain tumors, particularly when surgical biopsy is not feasible. Magn Reson MedAbstract : Purpose: To demonstrate that a continuous‐time random‐walk (CTRW) diffusion model can improve diagnostic accuracy of differentiating low‐ and high‐grade pediatric brain tumors. Methods: Fifty‐four children with histopathologically confirmed brain tumors underwent diffusion MRI scans at 3Twith 12 b ‐values (0‐4000 s/mm 2 ). The diffusion imageswere fit to a simplified CTRW model to extract anomalous diffusion coefficient, Dm, and temporal and spatial heterogeneity parameters, α and β, respectively. Using histopathology results as reference, a k ‐means clustering algorithm and a receiver operating characteristic (ROC) analysis were employed to determine the sensitivity, specificity, and diagnostic accuracy of the CTRW parameters in differentiating tumor grades. Results: Significant differences between the low‐ and high‐grade tumors were observed in the CTRW parameters ( p ‐values<0.001). The k ‐means analysis showed that the combination of three CTRW parameters produced higher diagnostic accuracy (85% vs. 75%) and specificity (83% vs. 54%) than the apparent diffusion coefficient (ADC) from a mono‐exponential model. The ROC analysis revealed that any combination of the CTRW parameters gave a larger area under the curve (0.90‐0.96) than using ADC (0.80). Conclusion: With its sensitivity to intravoxel heterogeneity, the simplified CTRW model is useful for non‐invasive grading of pediatric brain tumors, particularly when surgical biopsy is not feasible. Magn Reson Med 76:1149–1157, 2016. © 2015 Wiley Periodicals, Inc. … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 76:Issue 4(2016)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 76:Issue 4(2016)
- Issue Display:
- Volume 76, Issue 4 (2016)
- Year:
- 2016
- Volume:
- 76
- Issue:
- 4
- Issue Sort Value:
- 2016-0076-0004-0000
- Page Start:
- 1149
- Page End:
- 1157
- Publication Date:
- 2015-10-31
- Subjects:
- pediatric brain tumor -- non‐Gaussian diffusion -- continuous‐time‐random‐walk -- tumor grading -- high b‐value diffusion imaging
Nuclear magnetic resonance -- Periodicals
Electron paramagnetic resonance -- Periodicals
616.07548 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2594 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mrm.26012 ↗
- Languages:
- English
- ISSNs:
- 0740-3194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5337.798000
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