scholarly article | Q13442814 |
P50 | author | E Mark Haacke | Q64855019 |
P2093 | author name string | Bo Ma | |
Yan Bai | |||
Jie Tian | |||
Jinyuan Zhou | |||
Xiaohua Hong | |||
Dapeng Shi | |||
Meiyun Wang | |||
Jingliang Cheng | |||
Yusong Lin | |||
P2860 | cites work | Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging | Q22065375 |
MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders | Q22065376 | ||
Intravoxel Incoherent Motion Perfusion MR Imaging: A Wake-Up Call 1 | Q22065377 | ||
The 2007 WHO classification of tumours of the central nervous system | Q24685772 | ||
Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging | Q28251899 | ||
Evidence that both fast and slow water ADC components arise from intracellular space | Q30744867 | ||
Primary brain tumours in adults. | Q30765293 | ||
Characterization of continuously distributed cortical water diffusion rates with a stretched‐exponential model | Q30881440 | ||
Effects of physiologic challenge on the ADC of intracellular water in the Xenopus oocyte. | Q30949239 | ||
Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging. | Q31033781 | ||
Gliomas: histopathologic evaluation of changes in directionality and magnitude of water diffusion at diffusion-tensor MR imaging | Q31056273 | ||
Water diffusion heterogeneity index in the human brain is insensitive to the orientation of applied magnetic field gradients | Q31056463 | ||
Diffusion-tensor imaging for glioma grading at 3-T magnetic resonance imaging: analysis of fractional anisotropy and mean diffusivity | Q31151146 | ||
Intravoxel water diffusion heterogeneity imaging of human high-grade gliomas | Q33506450 | ||
Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences | Q33525427 | ||
Non-Gaussian diffusion imaging: a brief practical review. | Q33907687 | ||
Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade | Q34039382 | ||
Gliomas: diffusion kurtosis MR imaging in grading. | Q34189119 | ||
Diffusion abnormalities in temporal lobes of children with temporal lobe epilepsy: a preliminary diffusional kurtosis imaging study and comparison with diffusion tensor imaging. | Q34295277 | ||
The role of perfusion effects in monitoring of chemoradiotherapy of rectal carcinoma using diffusion-weighted imaging | Q37394881 | ||
Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma. | Q37510711 | ||
Morphological characterization of nitrosourea-induced glioma cell lines and clones | Q42802358 | ||
Head and neck tumors: assessment of perfusion-related parameters and diffusion coefficients based on the intravoxel incoherent motion model | Q45096020 | ||
Clinical relevance of diffusion and perfusion magnetic resonance imaging in assessing intra-axial brain tumors. | Q46937729 | ||
Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas | Q48276582 | ||
Studies of anomalous diffusion in the human brain using fractional order calculus | Q48291851 | ||
Quantitative measurement of brain perfusion with intravoxel incoherent motion MR imaging. | Q48332669 | ||
Comparing perfusion metrics obtained from a single compartment versus pharmacokinetic modeling methods using dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. | Q48399328 | ||
How often are nonenhancing supratentorial gliomas malignant? A population study | Q48481183 | ||
Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy | Q48510950 | ||
Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma? | Q48586356 | ||
Diffusion MR imaging in glioma: does it have any role in the pre-operation determination of grading of glioma? | Q48631632 | ||
Neuropathological diagnosis of brain tumours | Q48830594 | ||
The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. | Q53626649 | ||
Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique | Q73699116 | ||
P433 | issue | 2 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 496-504 | |
P577 | publication date | 2015-07-31 | |
P1433 | published in | Radiology | Q3285690 |
P1476 | title | Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging | |
P478 | volume | 278 |
Q37341031 | A fractional motion diffusion model for grading pediatric brain tumors. |
Q89810000 | Accuracy of ADC derived from DWI for differentiating high-grade from low-grade gliomas: Systematic review and meta-analysis |
Q28817044 | Advanced MRI for Pediatric Brain Tumors with Emphasis on Clinical Benefits |
Q90315492 | An Introduction to Kurtosis Fractional Anisotropy |
Q58083278 | An evidence-based approach to assess the accuracy of diffusion kurtosis imaging in characterization of gliomas |
Q55458145 | Apparent diffusion coefficient maps obtained from high b value diffusion-weighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging. |
Q41654843 | Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas |
Q33841446 | Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations |
Q58566548 | Brain T1ρ mapping for grading and IDH1 gene mutation detection of gliomas: a preliminary study |
Q89635146 | Can the low and high b-value distribution influence the pseudodiffusion parameter derived from IVIM DWI in normal brain? |
Q37714352 | Chemotherapy response evaluation in a mouse model of gastric cancer using intravoxel incoherent motion diffusion-weighted MRI and histopathology |
Q92980111 | Combination of three-dimensional arterial spin labeling and stretched-exponential model in grading of gliomas |
Q64245819 | Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer |
Q36335591 | Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion models. |
Q41044377 | Comparison between ultra-high and conventional mono b-value DWI for preoperative glioma grading |
Q64055874 | Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses |
Q53020815 | Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma. |
Q89629807 | Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades |
Q53821833 | Design and validation of diffusion MRI models of white matter. |
Q36378406 | Differentiating metastatic from nonmetastatic lymph nodes in cervical cancer patients using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging |
Q33685915 | Diffusion Kurtosis Imaging of Microstructural Alterations in the Brains of Paediatric Patients with Congenital Sensorineural Hearing Loss |
Q92510111 | Diffusion Kurtosis MR Imaging versus Conventional Diffusion-Weighted Imaging for Distinguishing Hepatocellular Carcinoma from Benign Hepatic Nodules |
Q57471575 | Diffusion MRI of cancer: From low to high b-values |
Q33854846 | Diffusion magnetic resonance imaging: A molecular imaging tool caught between hope, hype and the real world of "personalized oncology" |
Q60221593 | Diffusional kurtosis imaging (DKI) incorporation into an intravoxel incoherent motion (IVIM) MR model to measure cerebral hypoperfusion induced by hyperventilation challenge in healthy subjects |
Q55314136 | Divergent topological networks in Alzheimer's disease: a diffusion kurtosis imaging analysis. |
Q36164058 | Early Detection of Malignant Transformation in Resected WHO II Low-Grade Glioma Using Diffusion Tensor-Derived Quantitative Measures |
Q48134555 | Effect of Perfusion on Diffusion Kurtosis Imaging Estimates for In Vivo Assessment of Integrated 2016 WHO Glioma Grades : A Cross-Sectional Observational Study |
Q92370013 | Effects of Acute Alcohol Consumption on the Human Brain: Diffusional Kurtosis Imaging and Arterial Spin-Labeling Study |
Q28068259 | Emerging Techniques in Brain Tumor Imaging: What Radiologists Need to Know |
Q41874016 | Evaluation of cerebral glioma using 3T diffusion kurtosis tensor imaging and the relationship between diffusion kurtosis metrics and tumor cellularity |
Q36281247 | Evaluation of different mathematical models and different b-value ranges of diffusion-weighted imaging in peripheral zone prostate cancer detection using b-value up to 4500 s/mm2 |
Q40130617 | Extended diffusion weighted magnetic resonance imaging with two-compartment and anomalous diffusion models for differentiation of low-grade and high-grade brain tumors in pediatric patients |
Q47560686 | Fractional cable equation for general geometry: A model of axons with swellings and anomalous diffusion |
Q36919071 | Functional assessment of glioma pathogenesis by in vivo multi-parametric magnetic resonance imaging and in vitro analyses |
Q48293022 | Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery. |
Q38774626 | Histogram analysis of diffusion kurtosis imaging of nasopharyngeal carcinoma: Correlation between quantitative parameters and clinical stage |
Q48101350 | Liver fibrosis: stretched exponential model outperforms mono-exponential and bi-exponential models of diffusion-weighted MRI. |
Q38642629 | Methods for molecular imaging of brain tumours in a hybrid MR-PET context: Water content, T2(∗), diffusion indices and FET-PET. |
Q88946012 | Mono-exponential, diffusion kurtosis and stretched exponential diffusion MR imaging response to chemoradiation in newly diagnosed glioblastoma |
Q31143060 | Monoexponential, biexponential, and stretched exponential diffusion-weighted imaging models: Quantitative biomarkers for differentiating renal clear cell carcinoma and minimal fat angiomyolipoma. |
Q37701491 | Noninvasive amide proton transfer magnetic resonance imaging in evaluating the grading and cellularity of gliomas |
Q64080044 | Pre-operative apparent diffusion coefficient values and tumour region volumes as prognostic biomarkers in glioblastoma: correlation and progression-free survival analyses |
Q90330004 | Quantitative analysis of neurite orientation dispersion and density imaging in grading gliomas and detecting IDH-1 gene mutation status |
Q52904949 | Quantitative magnetic resonance imaging biomarkers in oncological clinical trials: Current techniques and standardization challenges. |
Q98178315 | Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images |
Q47124309 | Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging |
Q48137351 | Staging liver fibrosis with DWI: is there an added value for diffusion kurtosis imaging? |
Q50127948 | Staging of rat liver fibrosis using monoexponential, stretched exponential and diffusion kurtosis models with diffusion weighted imaging- magnetic resonance |
Q58776075 | Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of gliomas |
Q91940295 | Survival prediction of high-grade glioma patients with diffusion kurtosis imaging |
Q62489353 | The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges |
Q92640292 | The value of DWI in predicting the response to synchronous radiochemotherapy for advanced cervical carcinoma: comparison among three mathematical models |
Q50074090 | Whole-tumour diffusion kurtosis MR imaging histogram analysis of rectal adenocarcinoma: Correlation with clinical pathologic prognostic factors |
Search more.