Comparison of T1 mapping and fixed T1 method for dynamic contrast-enhanced MRI perfusion in brain gliomas

Conte, Gian Marco; Altabella, Luisa; Castellano, Antonella; Cuccarini, Valeria; Bizzi, Alberto; Grimaldi, Marco; Costa, A.; Caulo, Massimo; Falini, Andrea; Anzalone, Nicoletta

doi:10.1007/s00330-019-06122-x

Cited by 25 publications

(25 citation statements)

References 23 publications

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“…By developing the different MRI imaging protocols and high image contrast and resolution, MRI has become an important imaging modality for brain imaging. Many attempts have been made [17][18][19]21,[35][36][37] to differentiate the low-grade from high-grade gliomas with different MRI imaging protocols. However, there is still a need for improvement of MRI imaging accuracy for glioma grading.…”

Section: Discussionmentioning

confidence: 99%

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Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading

Khorasani

Tavakoli

Saboori

et al. 2021

European Journal of Radiology Open

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Background: Grade of brain tumor is thought to be the most significant and crucial component in treatment management. Recent development in medical imaging techniques have led to the introduce non-invasive methods for brain tumor grading such as different magnetic resonance imaging (MRI) protocols. Combination of different MRI protocols with fusion algorithms for tumor grading is used to increase diagnostic improvement. This paper investigated the efficiency of the Laplacian Re-decomposition (LRD) fusion algorithms for glioma grading. Procedures: In this study, 69 patients were examined with MRI. The T1 post enhancement (T1Gd) and diffusionweighted images (DWI) were obtained. To evaluated LRD performance for glioma grading, we compared the parameters of the receiver operating characteristic (ROC) curves. Findings: We found that the average Relative Signal Contrast (RSC) for high-grade gliomas is greater than RSCs for low-grade gliomas in T1Gd images and all fused images. No significant difference in RSCs of DWI images was observed between low-grade and high-grade gliomas. However, a significant RSCs difference was detected between grade III and IV in the T1Gd, b50, and all fussed images. Conclusions: This research suggests that T1Gd images are an appropriate imaging protocol for separating lowgrade and high-grade gliomas. According to the findings of this study, we may use the LRD fusion algorithm to increase the diagnostic value of T1Gd and DWI picture for grades III and IV glioma distinction. In conclusion, this article has emphasized the significance of the LRD fusion algorithm as a tool for differentiating grade III and IV gliomas.

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Section: Discussionmentioning

confidence: 99%

“…Most previous works have only focused on tumor grading with single MRI image protocols [13][14][15][16][17][18][19]. A crucial issue of brain tumor grading with MRI images is the low accuracy of the traditional MRI methods.…”

Section: Introductionmentioning

confidence: 99%

Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading

Khorasani

Tavakoli

Saboori

et al. 2021

European Journal of Radiology Open

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“…3,31 Another limitation is the use of a fixed T 1 value for the DCE-MRI analysis, as precontrast T 1 measurements were not available. Previous studies have shown that the use of a fixed T 1 value does not adversely impact diagnosis 29 and may actually be beneficial, 49 but it is acknowledged that a fixed T 1 could affect quantitative measures of K trans . While this study was performed at 3 T, work is ongoing to assess dual-echo perfusion at 1.5 T, which our previous simulation study showed yielded higher accuracy.…”

Section: Future Work Will Assess This Potential Advantage Of Dual-echo Perfusion Protocolsmentioning

confidence: 99%

Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients

Stokes

Bergamino

Alhilali

et al. 2021

J Cereb Blood Flow Metab

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Relative cerebral blood volume (rCBV) obtained from dynamic susceptibility contrast (DSC) MRI is adversely impacted by contrast agent leakage in brain tumors. Using simulations, we previously demonstrated that multi-echo DSC-MRI protocols provide improvements in contrast agent dosing, pulse sequence flexibility, and rCBV accuracy. The purpose of this study is to assess the in-vivo performance of dual-echo acquisitions in patients with brain tumors (n = 59). To verify pulse sequence flexibility, four single-dose dual-echo acquisitions were tested with variations in contrast agent dose, flip angle, and repetition time, and the resulting dual-echo rCBV was compared to standard single-echo rCBV obtained with preload (double-dose). Dual-echo rCBV was comparable to standard double-dose single-echo protocols (mean (standard deviation) tumor rCBV 2.17 (1.28) vs. 2.06 (1.20), respectively). High rCBV similarity was observed (CCC = 0.96), which was maintained across both flip angle (CCC = 0.98) and repetition time (CCC = 0.96) permutations, demonstrating that dual-echo acquisitions provide flexibility in acquisition parameters. Furthermore, a single dual-echo acquisition was shown to enable quantification of both perfusion and permeability metrics. In conclusion, single-dose dual-echo acquisitions provide similar rCBV to standard double-dose single-echo acquisitions, suggesting contrast agent dose can be reduced while providing significant pulse sequence flexibility and complementary tumor perfusion and permeability metrics.

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“…According to Larsson et al [ 27 ], the use of a fixed T1 is recommended when monitoring changes in parameters of DCE MRI in high-grade glioma patients, thereby simplifying the analysis of DCE MRI in a clinical setting. Conte et al [ 28 ] reported that T1 mapping is not mandatory because it does not improve the diagnostic accuracy of DCE MRI for glioma grading, and the use of a fixed T1 value represents a valid alternative to T1 mapping for DCE MRI analysis [ 28 ]. However, these two studies did not suggest that the fixed value method is superior (or more efficient).…”

Section: Discussionmentioning

confidence: 99%

Application of T1 Map Information Based on Synthetic MRI for Dynamic Contrast-Enhanced Imaging: A Comparison Study with the Fixed Baseline T1 Value Method

et al. 2021

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Objective For an accurate dynamic contrast-enhanced (DCE) MRI analysis, exact baseline T1 mapping is critical. The purpose of this study was to compare the pharmacokinetic parameters of DCE MRI using synthetic MRI with those using fixed baseline T1 values. Materials and Methods This retrospective study included 102 patients who underwent both DCE and synthetic brain MRI. Two methods were set for the baseline T1: one using the fixed value and the other using the T1 map from synthetic MRI. The volume transfer constant (K trans ), volume of the vascular plasma space (v p ), and the volume of the extravascular extracellular space (v e ) were compared between the two methods. The interclass correlation coefficients and the Bland-Altman method were used to assess the reliability. Results In normal-appearing frontal white matter (WM), the mean values of K trans , v e , and v p were significantly higher in the fixed value method than in the T1 map method. In the normal-appearing occipital WM, the mean values of v e and v p were significantly higher in the fixed value method. In the putamen and head of the caudate nucleus, the mean values of K trans , v e , and v p were significantly lower in the fixed value method. In addition, the T1 map method showed comparable interobserver agreements with the fixed baseline T1 value method. Conclusion The T1 map method using synthetic MRI may be useful for reflecting individual differences and reliable measurements in clinical applications of DCE MRI.

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Comparison of T1 mapping and fixed T1 method for dynamic contrast-enhanced MRI perfusion in brain gliomas

Cited by 25 publications

References 23 publications

Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading

Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading

Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients

Application of T1 Map Information Based on Synthetic MRI for Dynamic Contrast-Enhanced Imaging: A Comparison Study with the Fixed Baseline T1 Value Method

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