Perfusion Showdown: Comparison of Multiple MRI Perfusion Techniques in the Grading of Pediatric Brain Tumors

There are multiple MRI perfusion techniques, with limited available literature comparing these techniques in the grading of pediatric brain tumors. For efficiency and limiting scan time, ideally only one MRI perfusion technique can be used in initial imaging. We compared DSC, dynamic contrast enhanc...

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Published inAmerican journal of neuroradiology : AJNR Vol. 46; no. 7; p. 1464
Main Authors Ho, Chang Y., Supakul, Nucharin, Anthony, Greg, Wen, Qiuting, Chen, Paula, Allen, Maryann, Parker, Jason G., Gray, Benjamin R., Chen, Eric, Territo, Paul R., Persohn, Scott A., Kralik, Stephen F., Hutchins, Gary D.
Format Journal Article
LanguageEnglish
Published United States 01.07.2025
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ISSN0195-6108
1936-959X
1936-959X
DOI10.3174/ajnr.A8635

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Abstract There are multiple MRI perfusion techniques, with limited available literature comparing these techniques in the grading of pediatric brain tumors. For efficiency and limiting scan time, ideally only one MRI perfusion technique can be used in initial imaging. We compared DSC, dynamic contrast enhancement (DCE), and intravoxel incoherent motion (IVIM) along with ADC from DWI for differentiating high- versus low-grade pediatric brain tumors. Presurgical MRI at a single pediatric hospital for primary brain tumor of glial, neuronal, or embryonal origin including DWI, DSC, DCE, and IVIM with postsurgical histopathology results with World Health Organization (WHO) tumor grading were included. Tumor VOI was drawn on T2-weighted images registered to selected parametric maps from DWI, DSC, DCE, and IVIM. Multiple Bonferroni-corrected tests were performed on the mean tumor values for each selected parameter, including histogram analysis of 95th percentile relative CBV (rCBV), 5th percentile ADC, and 5th percentile D, to evaluate for significance between high- and low-grade tumors. Receiver operating characteristic (ROC) analysis was performed for significant test results. Seventy-two subjects were included with 36 low-grade and 36 high-grade tumors. test after Bonferroni correction yielded significant results for 5th percentile ADC ( = .003), mean ADC ( = .006), mean D ( = .009), and 5th percentile D ( = .02). Specifically, 95th percentile rCBV, mean rCBV, D*, f, and all DCE parameters were not significant for high- versus low-grade pediatric brain tumors after correction. Only mean rCBV was significant before but not after Bonferroni correction ( = .04 → = .35). ROC analysis for the parameters with test significance before and after Bonferroni correction had the following AUC, in descending order: 5th percentile ADC (0.791, 0.68-0.88, < .001), 5th percentile D (0.789, 0.68-0.88, < .001), mean D (0.76, 0.64-0.85, < .001), mean ADC (0.754,0.64-0.85, < .001), and mean rCBV (0.683, 0.56-0.79, = .004). Perfusion parameters from IVIM, DCE, and DSC were not able to significantly differentiate between high- versus low-grade pediatric brain tumors compared with ADC in our study. Fifth percentile ADC performed the best and can be the primary technique for grading pediatric brain tumors.
AbstractList There are multiple MRI perfusion techniques, with limited available literature comparing these techniques in the grading of pediatric brain tumors. For efficiency and limiting scan time, ideally only one MRI perfusion technique can be used in initial imaging. We compared DSC, DCE, and IVIM along with ADC from DWI for differentiating high versus low grade pediatric brain tumors.BACKGROUND AND PURPOSEThere are multiple MRI perfusion techniques, with limited available literature comparing these techniques in the grading of pediatric brain tumors. For efficiency and limiting scan time, ideally only one MRI perfusion technique can be used in initial imaging. We compared DSC, DCE, and IVIM along with ADC from DWI for differentiating high versus low grade pediatric brain tumors.Presurgical MRI at a single pediatric hospital for primary brain tumor of glial, neuronal or embryonal origin including DWI, DSC, DCE, and IVIM with postsurgical histopathology results with WHO tumor grading were included. Tumor VOI was drawn on T2 weighted images registered to selected parametric maps from DWI, DSC, DCE and IVIM. Multiple Bonferroni corrected t-tests were performed on the mean tumor values for each selected parameter, including histogram analysis of 95th percentile rCBV, 5th percentile ADC and 5th percentile D, to evaluate for significance between high-and low-grade tumors. ROC analysis was performed for significant t-test results.MATERIALS AND METHODSPresurgical MRI at a single pediatric hospital for primary brain tumor of glial, neuronal or embryonal origin including DWI, DSC, DCE, and IVIM with postsurgical histopathology results with WHO tumor grading were included. Tumor VOI was drawn on T2 weighted images registered to selected parametric maps from DWI, DSC, DCE and IVIM. Multiple Bonferroni corrected t-tests were performed on the mean tumor values for each selected parameter, including histogram analysis of 95th percentile rCBV, 5th percentile ADC and 5th percentile D, to evaluate for significance between high-and low-grade tumors. ROC analysis was performed for significant t-test results.72 subjects were included with 36 low grade and 36 high grade tumors. T-test after Bonferroni correction yielded significant results for 5th percentile ADC (p=0.003), mean ADC (p=0.006), mean D (p=0.009), and 5th percentile D (p=0.02). Specifically, 95th percentile rCBV, mean rCBV, D*, f, and all DCE parameters were not significant for high vs low grade pediatric brain tumors after correction. Only mean rCBV was significant before but not after Bonferroni correction (p=0.04 → p=0.35).ROC analysis for the parameters with t-test significance before and after Bonferroni correction had the following AUC in descending order: 5th percentile ADC (0.791, 0.68-0.88, p<0.001), 5th percentile D (0.789, 0.68-0.88, p<0.001), mean D (0.76, 0.64-0.85, p<0.001), mean ADC (0.754,0.64-0.85, p<0.001) and mean rCBV (0.683, 0.56-0.79, p=0.004).RESULTS72 subjects were included with 36 low grade and 36 high grade tumors. T-test after Bonferroni correction yielded significant results for 5th percentile ADC (p=0.003), mean ADC (p=0.006), mean D (p=0.009), and 5th percentile D (p=0.02). Specifically, 95th percentile rCBV, mean rCBV, D*, f, and all DCE parameters were not significant for high vs low grade pediatric brain tumors after correction. Only mean rCBV was significant before but not after Bonferroni correction (p=0.04 → p=0.35).ROC analysis for the parameters with t-test significance before and after Bonferroni correction had the following AUC in descending order: 5th percentile ADC (0.791, 0.68-0.88, p<0.001), 5th percentile D (0.789, 0.68-0.88, p<0.001), mean D (0.76, 0.64-0.85, p<0.001), mean ADC (0.754,0.64-0.85, p<0.001) and mean rCBV (0.683, 0.56-0.79, p=0.004).Perfusion parameters from IVIM, DCE, DSC were not able to significantly differentiate between high versus low grade pediatric brain tumors compared to ADC in our study. 5th percentile ADC had the best performance and can be the primary technique for grading pediatric brain tumors.CONCLUSIONSPerfusion parameters from IVIM, DCE, DSC were not able to significantly differentiate between high versus low grade pediatric brain tumors compared to ADC in our study. 5th percentile ADC had the best performance and can be the primary technique for grading pediatric brain tumors.ADC = Apparent Diffusion Coefficient, DCE = Dynamic Contrast Enhancement, DSC = Dynamic Susceptibility Artifact, DWI = Diffusion Weighted Imaging, IVIM = Intravoxel Incoherent Motion, VOI = Voxel of Interest.ABBREVIATIONSADC = Apparent Diffusion Coefficient, DCE = Dynamic Contrast Enhancement, DSC = Dynamic Susceptibility Artifact, DWI = Diffusion Weighted Imaging, IVIM = Intravoxel Incoherent Motion, VOI = Voxel of Interest.
There are multiple MRI perfusion techniques, with limited available literature comparing these techniques in the grading of pediatric brain tumors. For efficiency and limiting scan time, ideally only one MRI perfusion technique can be used in initial imaging. We compared DSC, dynamic contrast enhancement (DCE), and intravoxel incoherent motion (IVIM) along with ADC from DWI for differentiating high- versus low-grade pediatric brain tumors. Presurgical MRI at a single pediatric hospital for primary brain tumor of glial, neuronal, or embryonal origin including DWI, DSC, DCE, and IVIM with postsurgical histopathology results with World Health Organization (WHO) tumor grading were included. Tumor VOI was drawn on T2-weighted images registered to selected parametric maps from DWI, DSC, DCE, and IVIM. Multiple Bonferroni-corrected tests were performed on the mean tumor values for each selected parameter, including histogram analysis of 95th percentile relative CBV (rCBV), 5th percentile ADC, and 5th percentile D, to evaluate for significance between high- and low-grade tumors. Receiver operating characteristic (ROC) analysis was performed for significant test results. Seventy-two subjects were included with 36 low-grade and 36 high-grade tumors. test after Bonferroni correction yielded significant results for 5th percentile ADC ( = .003), mean ADC ( = .006), mean D ( = .009), and 5th percentile D ( = .02). Specifically, 95th percentile rCBV, mean rCBV, D*, f, and all DCE parameters were not significant for high- versus low-grade pediatric brain tumors after correction. Only mean rCBV was significant before but not after Bonferroni correction ( = .04 → = .35). ROC analysis for the parameters with test significance before and after Bonferroni correction had the following AUC, in descending order: 5th percentile ADC (0.791, 0.68-0.88, < .001), 5th percentile D (0.789, 0.68-0.88, < .001), mean D (0.76, 0.64-0.85, < .001), mean ADC (0.754,0.64-0.85, < .001), and mean rCBV (0.683, 0.56-0.79, = .004). Perfusion parameters from IVIM, DCE, and DSC were not able to significantly differentiate between high- versus low-grade pediatric brain tumors compared with ADC in our study. Fifth percentile ADC performed the best and can be the primary technique for grading pediatric brain tumors.
Author Chen, Paula
Kralik, Stephen F.
Wen, Qiuting
Chen, Eric
Supakul, Nucharin
Parker, Jason G.
Territo, Paul R.
Anthony, Greg
Hutchins, Gary D.
Persohn, Scott A.
Allen, Maryann
Gray, Benjamin R.
Ho, Chang Y.
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Snippet There are multiple MRI perfusion techniques, with limited available literature comparing these techniques in the grading of pediatric brain tumors. For...
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StartPage 1464
SubjectTerms Adolescent
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - pathology
Child
Child, Preschool
Diffusion Magnetic Resonance Imaging - methods
Female
Humans
Infant
Magnetic Resonance Angiography - methods
Male
Neoplasm Grading
Reproducibility of Results
Sensitivity and Specificity
Title Perfusion Showdown: Comparison of Multiple MRI Perfusion Techniques in the Grading of Pediatric Brain Tumors
URI https://www.ncbi.nlm.nih.gov/pubmed/39715672
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