Comparative study of pulsed-continuous arterial spin labeling and dynamic susceptibility contrast imaging by histogram analysis in evaluation of glial tumors
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Hisashi Tanaka | Noriyuki Tomiyama | Hiroto Takahashi | N. Tomiyama | Yoshiyuki Watanabe | Y. Fujimoto | Yoshiyuki Watanabe | Hisashi Tanaka | Atsuko Arisawa | Chisato Matsuo | Takuya Fujiwara | Masahiro Fujiwara | Yasunori Fujimoto | Hiroto Takahashi | Chisato Matsuo | M. Fujiwara | Atsuko Arisawa | T. Fujiwara
[1] Yu Lin,et al. IDH mutant and 1p/19q co-deleted oligodendrogliomas: tumor grade stratification using diffusion-, susceptibility-, and perfusion-weighted MRI , 2017, Neuroradiology.
[2] David C. Alsop,et al. Perfusion MRI of brain tumours: a comparative study of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast imaging , 2010, Neuroradiology.
[3] Glyn Johnson,et al. Comparison of region‐of‐interest analysis with three different histogram analysis methods in the determination of perfusion metrics in patients with brain gliomas , 2007, Journal of magnetic resonance imaging : JMRI.
[4] B. Rosen,et al. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis , 1996, Magnetic resonance in medicine.
[5] Kim Mouridsen,et al. Perfusion MRI Derived Indices of Microvascular Shunting and Flow Control Correlate with Tumor Grade and Outcome in Patients with Cerebral Glioma , 2015, PloS one.
[6] T. Hirai,et al. Quantitative Blood Flow Measurements in Gliomas Using Arterial Spin-Labeling at 3T: Intermodality Agreement and Inter- and Intraobserver Reproducibility Study , 2011, American Journal of Neuroradiology.
[7] Y. Zhang,et al. Noninvasive Assessment of IDH Mutational Status in World Health Organization Grade II and III Astrocytomas Using DWI and DSC-PWI Combined with Conventional MR Imaging , 2017, American Journal of Neuroradiology.
[8] Vessel-Masked Perfusion Magnetic Resonance Imaging With Histogram Analysis Improves Diagnostic Accuracy for the Grading of Glioma , 2017, Journal of computer assisted tomography.
[9] U. Klose,et al. Glioma Grading and Determination of IDH Mutation Status and ATRX loss by DCE and ASL Perfusion , 2018, Clinical Neuroradiology.
[10] Takashi Abe,et al. Correlation of 3D Arterial Spin Labeling and Multi-Parametric Dynamic Susceptibility Contrast Perfusion MRI in Brain Tumors , 2016 .
[11] T. Cloughesy,et al. Regional and Voxel‐Wise Comparisons of Blood Flow Measurements Between Dynamic Susceptibility Contrast Magnetic Resonance Imaging (DSC‐MRI) and Arterial Spin Labeling (ASL) in Brain Tumors , 2014, Journal of neuroimaging : official journal of the American Society of Neuroimaging.
[12] B. K. Ojha,et al. Comparative Evaluation of 3-Dimensional Pseudocontinuous Arterial Spin Labeling With Dynamic Contrast-Enhanced Perfusion Magnetic Resonance Imaging in Grading of Human Glioma , 2013, Journal of computer assisted tomography.
[13] T. Mikami. Diagnosis and pathophysiological analysis of moyamoya disease using MRI , 2016 .
[14] G Johnson,et al. Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas. , 2007, AJNR. American journal of neuroradiology.
[15] P. Varlet,et al. Arterial Spin Labeling to Predict Brain Tumor Grading in Children: Correlations between Histopathologic Vascular Density and Perfusion MR Imaging. , 2016, Radiology.
[16] I. Ercan,et al. High-grade and low-grade gliomas: differentiation by using perfusion MR imaging. , 2005, Clinical radiology.
[17] Yan Zhang,et al. Comparative analysis of arterial spin labeling and dynamic susceptibility contrast perfusion imaging for quantitative perfusion measurements of brain tumors. , 2014, International journal of clinical and experimental pathology.
[18] Y. Kao,et al. Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images , 2013, BioMed research international.
[19] G Johnson,et al. Comparing perfusion metrics obtained from a single compartment versus pharmacokinetic modeling methods using dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. , 2006, AJNR. American journal of neuroradiology.
[20] R. Kraft,et al. Arterial Spin-Labeling in Routine Clinical Practice, Part 1: Technique and Artifacts , 2008, American Journal of Neuroradiology.
[21] R M Weisskoff,et al. Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. , 2006, AJNR. American journal of neuroradiology.
[22] W. Sako,et al. Clinical Significance of Discrepancy between Arterial Spin Labeling Images and Contrast-enhanced Images in the Diagnosis of Brain Tumors. , 2015, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.
[23] Chul-Kee Park,et al. Cerebral Blood Volume Analysis in Glioblastomas Using Dynamic Susceptibility Contrast-Enhanced Perfusion MRI: A Comparison of Manual and Semiautomatic Segmentation Methods , 2013, PloS one.
[24] David F Kallmes,et al. Intracranial Gadolinium Deposition after Contrast-enhanced MR Imaging. , 2015, Radiology.
[25] M. Buckland,et al. The 2016 revision of the WHO Classification of Central Nervous System Tumours: retrospective application to a cohort of diffuse gliomas , 2018, Journal of Neuro-Oncology.
[26] A. Bjørnerud,et al. Automatic vessel removal in gliomas from dynamic susceptibility contrast imaging , 2009, Magnetic resonance in medicine.
[27] M. Perrin,et al. A Comparative Study of Perfusion Measurement in Brain Tumours at 3 Tesla MR: Arterial Spin Labeling versus Dynamic Susceptibility Contrast-Enhanced MRI , 2010, European Neurology.
[28] A. Bjørnerud,et al. Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps. , 2008, Radiology.
[29] S Warach,et al. A general kinetic model for quantitative perfusion imaging with arterial spin labeling , 1998, Magnetic resonance in medicine.
[30] J. Detre,et al. Grading of CNS neoplasms using continuous arterial spin labeled perfusion MR imaging at 3 Tesla , 2005, Journal of magnetic resonance imaging : JMRI.
[31] Karin Markenroth Bloch,et al. Correlation between arterial blood volume obtained by arterial spin labelling and cerebral blood volume in intracranial tumours , 2011, Magnetic Resonance Materials in Physics, Biology and Medicine.
[32] R. Kraft,et al. Arterial Spin-Labeling in Routine Clinical Practice, Part 3: Hyperperfusion Patterns , 2008, American Journal of Neuroradiology.
[33] Y. Zhenwei,et al. Erratum to: Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies , 2017, Neuroradiology.
[34] K. Yeom,et al. Arterial Spin-Labeled Perfusion of Pediatric Brain Tumors , 2014, American Journal of Neuroradiology.
[35] M. Wintermark,et al. Comparative overview of brain perfusion imaging techniques. , 2005, Stroke.
[36] Shigeru Furui,et al. Gadolinium-based Contrast Agent Accumulates in the Brain Even in Subjects without Severe Renal Dysfunction: Evaluation of Autopsy Brain Specimens with Inductively Coupled Plasma Mass Spectroscopy. , 2015, Radiology.
[37] B. Rosen,et al. Perfusion imaging with NMR contrast agents , 1990, Magnetic resonance in medicine.
[38] E. Achten,et al. A neuroradiologist’s guide to arterial spin labeling MRI in clinical practice , 2015, Neuroradiology.
[39] T Sasaki,et al. Perfusion Imaging of Brain Tumors Using Arterial Spin-Labeling: Correlation with Histopathologic Vascular Density , 2008, American Journal of Neuroradiology.
[40] Christian Enzinger,et al. Automated macrovessel artifact correction in dynamic susceptibility contrast magnetic resonance imaging using independent component analysis , 2011, Magnetic resonance in medicine.
[41] H. Cebeci,et al. Assesment of perfusion in glial tumors with arterial spin labeling; comparison with dynamic susceptibility contrast method. , 2014, European journal of radiology.
[42] D. Hippe,et al. Macrocyclic and Other Non–Group 1 Gadolinium Contrast Agents Deposit Low Levels of Gadolinium in Brain and Bone Tissue: Preliminary Results From 9 Patients With Normal Renal Function , 2016, Investigative radiology.
[43] A. Bjørnerud,et al. An Automatic Procedure for Normalization of Cerebral Blood Volume Maps in Dynamic Susceptibility Contrast−Based Glioma Imaging , 2009, American Journal of Neuroradiology.
[44] G. Reifenberger,et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary , 2016, Acta Neuropathologica.
[45] K. Thong,et al. Loop-Mediated Isothermal Amplification Assay for the Rapid Detection of Staphylococcus aureus , 2013, BioMed research international.
[46] L. Chen,et al. A meta-analysis of arterial spin labelling perfusion values for the prediction of glioma grade. , 2017, Clinical radiology.
[47] B. Bender,et al. Prognostic value of blood flow estimated by arterial spin labeling and dynamic susceptibility contrast-enhanced MR imaging in high-grade gliomas , 2014, Journal of Neuro-Oncology.
[48] Feng Xiaoyuan,et al. Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies , 2016, Neuroradiology.
[49] Matthias Günther,et al. Comparison of Arterial Spin-Labeling Techniques and Dynamic Susceptibility-Weighted Contrast-Enhanced MRI in Perfusion Imaging of Normal Brain Tissue , 2003, Investigative radiology.