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Multiparametric MRI in primary cerebral lymphoma: Correlation between diffusion kurtosis imaging (DKI), dynamic
Valentina Ferrazzoli1, Silvia Minosse2, Eliseo Picchi3
1Neuroradiology Unit, University Hospital of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy.
Purpose:
The aim of our study is to verify the reliability of Diffusion Kurtosis Imaging (DKI) parameters through correlation with perfusion metrics obtained by Dynamic Contrast Enhanced (DCE)- and Dynamic Susceptibility Contrast (DSC)-MRI techniques in histologic-proven primary central nervous system lymphoma (PCNSL).
Methods:
A total of 15 lesions were analyzed in patient with neo-diagnosis of Epstein-Barr Virus negative PCNSL. DKI was acquired using 5b values from 0 to 2500 s/mm2. DCE-MRI was acquired with a long scan time (up to 10 min) and with a temporal resolution of 5 s. DSC was acquired with a T2*-weighted sequence made up by 40 dynamic volumes, with a total scan time of 75 s. The correlation between the DCE- and DSC-MRI metrics and the DWI/DKI parameters was assessed with the Spearman's Rho correlation test. A p-value < 0.05 was considered statistically significant.
Results:
A strong inverse relationship between Dapp and Kep (Rho = -0.56; p-value = 0.034) and between ADC and the Kep (Rho = -0.52; p = 0.049) was found. A strong relationship emerged between Kapp and relCBV (Rho = 0.62; p = 0.016). Even though a correlation has been detected between DKI and DWI parameters.
Conclusions:
DKI seem to provide additional information compared to the standard diffusion model, this can be inferred from the results obtained through this study as DKI parameters correlates with both DCE and DSC parameters while ADC only correlates with Kep and in a statistically less significant manner.
Insights
Diffusion Kurtosis Imaging (DKI) parameters show reliability by correlating with Dynamic Contrast Enhanced (DCE)- and Dynamic Susceptibility Contrast (DSC)-MRI perfusion metrics in primary central nervous system lymphoma (PCNSL). These findings suggest DKI offers valuable information beyond standard diffusion models.
Area of Science:
- Neuroimaging
- Radiology
- Oncology
Background:
- Primary central nervous system lymphoma (PCNSL) diagnosis and characterization rely on advanced MRI techniques.
- Diffusion Kurtosis Imaging (DKI) offers insights into tissue microstructure beyond standard diffusion-weighted imaging (DWI).
- Perfusion metrics from Dynamic Contrast Enhanced (DCE)-MRI and Dynamic Susceptibility Contrast (DSC)-MRI provide functional information about tumor vascularity.
Purpose of the Study:
- To validate the reliability of DKI parameters by correlating them with perfusion metrics from DCE-MRI and DSC-MRI.
- To assess the added value of DKI compared to standard diffusion models in PCNSL.
Main Methods:
- 15 lesions in newly diagnosed Epstein-Barr Virus-negative PCNSL patients were analyzed.
- DKI was acquired using 5 b-values (0-2500 s/mm²).
- DCE-MRI (10 min scan, 5s temporal resolution) and DSC-MRI (75s scan, 40 dynamic volumes) were performed. Spearman's Rho correlation was used (p < 0.05 significance).
Main Results:
- Strong inverse correlations were found between apparent diffusion coefficient (ADC) and Kep (Rho = -0.52, p = 0.049).
- A significant relationship was observed between Kapp and relative cerebral blood volume (relCBV) (Rho = 0.62, p = 0.016).
- DKI parameters demonstrated correlations with both DCE and DSC metrics.
Conclusions:
- DKI parameters correlate with DCE and DSC perfusion metrics in PCNSL, suggesting enhanced diagnostic information.
- DKI provides additional insights compared to standard diffusion models, as evidenced by its correlations with perfusion parameters.
- ADC showed a less significant correlation with Kep compared to DKI parameters.
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