Survival Prediction Analysis in Glioblastoma With Diffusion Kurtosis Imaging
Frontiers in Oncology, 2021 Simple SummaryGlioblastoma (GBM) is the most common and aggressive primary brain tumor. Diffusion kurtosis imaging (DKI) has characterized non-Gaussian diffusion behaviors in brain normal tissue and gliomas, but there are very limited efforts in ...
Yuan Li +8 more
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Quantitative assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a comparative analysis with diffusion-weighted imaging [PDF]
, 2020 PURPOSEWe aimed to investigate histogram analysis of diffusion kurtosis imaging (DKI) and conventional diffusion-weighted imaging (DWI) to distinguish between deep myometrial invasion and superficial myometrial invasion in endometrial carcinoma (EC ...
Jia-Cheng Song +5 more
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Diagnostic performance between MR amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in glioma grading and IDH mutation status prediction at 3 T [PDF]
European Journal of Radiology, 2021 Accurate glioma grading and IDH mutation status prediction are critically essential for individualized preoperative treatment decisions. This study aims to compare the diagnostic performance of magnetic resonance (MR) amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in glioma grading and IDH mutation status prediction.Fifty-one glioma ...
Zongwei, Xu +10 more
openaire +2 more sources
Diffusion Kurtosis Imaging of Microstructural Changes in Gray Matter Nucleus in Parkinson Disease
Frontiers in Neurology, 2020 Objective: To explore the microstructural damage of extrapyramidal system gray matter nuclei in Parkinson disease (PD) using diffusion kurtosis imaging (DKI).Materials and Methods: We enrolled 35 clinically confirmed PD patients and 23 healthy volunteers.
Gao Bingbing +10 more
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Recent Developments in Fast Kurtosis Imaging
Frontiers in Physics, 2017 Diffusion kurtosis imaging (DKI) is an extension of the popular diffusion tensor imaging (DTI) technique. DKI takes into account leading deviations from Gaussian diffusion stemming from a number of effects related to the microarchitecture and ...
Brian Hansen +2 more
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NeuroImage, 2020 Quantitative evaluation of brain myelination has drawn considerable attention. Conventional diffusion-based magnetic resonance imaging models, including diffusion tensor imaging and diffusion kurtosis imaging (DKI),11 AD: Axial diffusivity; AK: Axial ...
Zihan Zhou +9 more
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Axisymmetric diffusion kurtosis imaging with Rician bias correction: A simulation study
, 2022 Purpose To compare the estimation accuracy of axisymmetric diffusion kurtosis imaging (DKI) and standard DKI in combination with Rician bias correction (RBC).
Tabelow, Karsten +5 more
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Correlation Tensor MRI deciphers underlying kurtosis sources in stroke
NeuroImage, 2022 Noninvasively detecting and characterizing modulations in cellular scale micro-architecture remains a desideratum for contemporary neuroimaging. Diffusion MRI (dMRI) has become the mainstay methodology for probing microstructure, and, in ischemia, its ...
Rita Alves +5 more
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Quantitative assessment of structural connectivity alteration in glioma patients through diffusion kurtosis imaging and graph metrics [PDF]
, 2022 openLa Diffusion Kurtosis Imaging (DKI) è una tecnica di analisi di neuroimmagine che modella il pattern di diffusione delle molecole d'acqua ed il complesso ambiente microstrutturale del cervello attraverso l'estrazione di specifiche metriche di ...
GUARNACCIA, FRANCESCO
core
Brain and Behavior, 2023 Background To evaluate the degeneration of the corticospinal tract (CST) and corpus callosum (CC) in patients with motor neuron disease and upper motor neuron (UMN) dysfunction using diffusion kurtosis imaging (DKI).
Tanushka Anand +9 more
doaj +1 more source