Dynamic Contrast-Enhanced MRI and Its Applications in Various Central Nervous System Diseases

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참고문헌 (76)

1. Sweeney MD, "Blood-brain barrier : from physiology to disease and back", Physiol Rev, 99, pp.21~78 (2019)
2. Elschot EP, "A comprehensive view on MRI techniques for imaging blood-brain barrier integrity", Invest Radiol, 56, pp.10~19 (2021)
3. Daneman R, "The blood-brain barrier", Cold Spring Harb Perspect Biol, 7, pp.a020412~ (2015)
4. Abbott NJ, "Astrocyte-endothelial interactions at the blood-brain barrier", Nat Rev Neurosci, 7, pp.41~53 (2006)
5. Abbott NJ, "Structure and function of the blood-brain barrier", Neurobiol Dis, 37, pp.13~25 (2010)
6. Erlemann R, "Musculoskeletal neoplasms : static and dynamic Gd-DTPA--enhanced MR imaging", Radiology, 171, pp.767~773 (1989)
7. Chagnot A, "Magnetic resonance imaging of blood-brain barrier permeability in dementia", Neuroscience, 474, pp.14~29 (2021)
8. Heye AK, "Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability", Neuroimage, 125, pp.446~455 (2016)
9. Tofts PS, "Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer : standardized quantities and symbols", J Magn Reson Imaging, 10, pp.223~232 (1999)
10. Tofts PS, "Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts", Magn Reson Med, 17, pp.357~367 (1991)
11. Gordon Y, "Dynamic contrastenhanced magnetic resonance imaging : fundamentals and application to the evaluation of the peripheral perfusion", Cardiovasc Diagn Ther, 4, pp.147~164 (2014)
12. Mitchell DG, "MR imaging contrast agents--what’s in a name?", J Magn Reson Imaging, 7, pp.1~4 (1997)
13. Sourbron SP, "Classic models for dynamic contrastenhanced MRI", NMR Biomed, 26, pp.1004~1027 (2013)
14. Thrippleton MJ, "Quantifying blood-brain barrier leakage in small vessel disease : review and consensus recommendations", Alzheimers Dement, 15, pp.840~858 (2019)
15. Larsson HB, "Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla", Magn Reson Med, 62, pp.1270~1281 (2009)
16. 최현석, "Glioma Grading Capability: Comparisons among Parameters from Dynamic Contrast-Enhanced MRI and ADC Value on DWI", Korean Journal of Radiology, 14(3), pp.487~492 (2013), 대한영상의학회[DOI]
17. Arevalo-Perez J, "Dynamic contrast-enhanced perfusion MRI and diffusionweighted imaging in grading of gliomas", J Neuroimaging, 25, pp.792~798 (2015)
18. Santarosa C, "Dynamic contrastenhanced and dynamic susceptibility contrast perfusion MR imaging for glioma grading : preliminary comparison of vessel compartment and permeability parameters using hotspot and histogram analysis", Eur J Radiol, 85, pp.1147~1156 (2016)
19. Jung SC, "Glioma : application of histogram analysis of pharmacokinetic parameters from T1-weighted dynamic contrast-enhanced MR imaging to tumor grading", AJNR Am J Neuroradiol, 35, pp.1103~1110 (2014)
20. Zhang N, "Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas", J Magn Reson Imaging, 36, pp.355~363 (2012)
21. Cha S, "Comparison of microvascular permeability measurements, K(trans), determined with conventional steady-state T1-weighted and first-pass T2*-weighted MR imaging methods in gliomas and meningiomas", AJNR Am J Neuroradiol, 27, pp.409~417 (2006)
22. Louis DN, "The 2021 WHO classification of tumors of the central nervous system : a summary", Neuro Oncol, 23, pp.1231~1251 (2021)
23. Ahn SS, "Prediction of methylguanine methyltransferase promoter methylation in glioblastoma using dynamic contrast-enhanced magnetic resonance and diffusion tensor imaging", J Neurosurg, 121, pp.367~373 (2014)
24. Sung Hee Ahn, "Association of dynamic susceptibility contrast- and dynamic contrast-enhanced magnetic resonance imaging parameters with molecular marker status in lower-grade gliomas: A retrospective study", The Neuroradiology Journal, 36(1), pp.49~58 (2022), SAGE Publications[DOI]
25. Kickingereder P, "Evaluation of microvascular permeability with dynamic contrast-enhanced MRI for the differentiation of primary CNS lymphoma and glioblastoma : radiologic-pathologic correlation", AJNR Am J Neuroradiol, 35, pp.1503~1508 (2014)
26. Zhang HW, "Differential diagnosis of central lymphoma and high-grade glioma : dynamic contrast-enhanced histogram", Acta Radiol, 61, pp.1221~1227 (2020)
27. Hatzoglou V, "Pretreatment dynamic contrast-enhanced MRI biomarkers correlate with progression-free survival in primary central nervous system lymphoma", J Neurooncol, 140, pp.351~358 (2018)
28. Fu F, "Dynamic contrast-enhanced magnetic resonance imaging biomarkers predict chemotherapeutic responses and survival in primary central-nervous-system lymphoma", Eur Radiol, 31, pp.1863~1871 (2021)
29. Jung BC, "Comparison of glioblastomas and brain metastases using dynamic contrast-enhanced perfusion MRI", J Neuroimaging, 26, pp.240~246 (2016)
30. Shi Z, "Efficacy evaluation of contrast-enhanced magnetic resonance imaging in differentiating glioma from metastatic tumor of the brain and exploration of its association with patients’ neurological function", Front Behav Neurosci, 16, pp.957795~ (2022)
31. van Dijken BRJ, "Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis", Eur Radiol, 27, pp.4129~4144 (2017)
32. Morabito R, "DCE and DSC perfusion MRI diagnostic accuracy in the follow-up of primary and metastatic intra-axial brain tumors treated by radiosurgery with cyberknife", Radiat Oncol, 14, pp.65~ (2019)
33. Bisdas S, "Distinguishing recurrent highgrade gliomas from radiation injury : a pilot study using dynamic contrast-enhanced MR imaging", Acad Radiol, 18, pp.575~583 (2011)
34. Yun TJ, "Glioblastoma treated with concurrent radiation therapy and temozolomide chemotherapy : differentiation of true progression from pseudoprogression with quantitative dynamic contrast-enhanced MR imaging", Radiology, 274, pp.830~840 (2015)
35. Thomas AA, "Dynamic contrast enhanced T1 MRI perfusion differentiates pseudoprogression from recurrent glioblastoma", J Neurooncol, 125, pp.183~190 (2015)
36. Suh CH, "Prediction of pseudoprogression in patients with glioblastomas using the initial and final area under the curves ratio derived from dynamic contrastenhanced T1-weighted perfusion MR imaging", AJNR Am J Neuroradiol, 34, pp.2278~2286 (2013)
37. Elshafeey N, "Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma", Nat Commun, 10, pp.3170~ (2019)
38. Park YW, "Dynamic contrast-enhanced MRI may be helpful to predict response and prognosis after bevacizumab treatment in patients with recurrent high-grade glioma : comparison with diffusion tensor and dynamic susceptibility contrast imaging", Neuroradiology, 63, pp.1811~1822 (2021)
39. Nguyen TB, "Preoperative prognostic value of dynamic contrast-enhanced MRI-derived contrast transfer coefficient and plasma volume in patients with cerebral gliomas", AJNR Am J Neuroradiol, 36, pp.63~69 (2015)
40. Choi YS, "The added prognostic value of preoperative dynamic contrast-enhanced MRI histogram analysis in patients with glioblastoma : analysis of overall and progression-free survival", AJNR Am J Neuroradiol, 36, pp.2235~2241 (2015)
41. Kim HS, "Prognostication of anaplastic astrocytoma patients : application of contrast leakage information of dynamic susceptibility contrast-enhanced MRI and dynamic contrast-enhanced MRI", Eur Radiol, 30, pp.2171~2181 (2020)
42. Pak Elena, "Prediction of Prognosis in Glioblastoma Using Radiomics Features of Dynamic Contrast-Enhanced MRI", Korean Journal of Radiology, 22(9), pp.1514~1524 (2021), 대한영상의학회[DOI]
43. Gouw AA, "Heterogeneity of small vessel disease : a systematic review of MRI and histopathology correlations", J Neurol Neurosurg Psychiatry, 82, pp.126~135 (2011)
44. Park M, "Myelin loss in white matter hyperintensities and normal-appearing white matter of cognitively impaired patients : a quantitative synthetic magnetic resonance imaging study", Eur Radiol, 29, pp.4914~4921 (2019)
45. Li Y, "Higher blood-brain barrier permeability is associated with higher white matter hyperintensities burden", J Neurol, 264, pp.1474~1481 (2017)
46. Wardlaw JM, "Blood-brain barrier failure as a core mechanism in cerebral small vessel disease and dementia : evidence from a cohort study", Alzheimers Dement, 13, pp.634~643 (2017)
47. Wong SM, "Blood-brain barrier impairment and hypoperfusion are linked in cerebral small vessel disease", Neurology, 92, pp.e1669~e1677 (2019)
48. Sweeney MD, "Vascular dysfunction—The disregarded partner of Alzheimer’s disease", Alzheimers Dement, 15, pp.158~167 (2019)
49. Montagne A, "Blood-brain barrier breakdown in the aging human hippocampus", Neuron, 85, pp.296~302 (2015)
50. Nation DA, "Blood-brain barrier breakdown is an early biomarker of human cognitive dysfunction", Nat Med, 25, pp.270~276 (2019)
51. van de Haar HJ, "Blood-brain barrier leakage in patients with early Alzheimer disease", Radiology, 281, pp.527~535 (2016)
52. van de Haar HJ, "Neurovascular unit impairment in early Alzheimer’s disease measured with magnetic resonance imaging", Neurobiol Aging, 45, pp.190~196 (2016)
53. Montagne A, "APOE4 leads to bloodbrain barrier dysfunction predicting cognitive decline", Nature, 581, pp.71~76 (2020)
54. Moon WJ, "Hippocampal blood-brain barrier permeability is related to the APOE4 mutation status of elderly individuals without dementia", J Cereb Blood Flow Metab, 41, pp.1351~1361 (2021)
55. Sweeney MD, "Blood-brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders", Nat Rev Neurol, 14, pp.133~150 (2018)
56. Al-Bachari S, "Blood–brain barrier leakage is increased in Parkinson’s disease", Front Physiol, 11, pp.593026~ (2020)
57. Drouin-Ouellet J, "Cerebrovascular and blood-brain barrier impairments in Huntington’s disease : potential implications for its pathophysiology", Ann Neurol, 78, pp.160~177 (2015)
58. Cramer SP, "Abnormal blood-brain barrier permeability in normal appearing white matter in multiple sclerosis investigated by MRI", Neuroimage Clin, 4, pp.182~189 (2014)
59. Gaitán MI, "Evolution of the bloodbrain barrier in newly forming multiple sclerosis lesions", Ann Neurol, 70, pp.22~29 (2011)
60. Ingrisch M, "Quantification of perfusion and permeability in multiple sclerosis : dynamic contrastenhanced MRI in 3D at 3T", Invest Radiol, 47, pp.252~258 (2012)
61. Villringer K, "DCE-MRI bloodbrain barrier assessment in acute ischemic stroke", Neurology, 88, pp.433~440 (2017)
62. Arba F, "Blood–brain barrier disruption and hemorrhagic transformation in acute ischemic stroke : systematic review and meta-analysis", Front Neurol, 11, pp.594613~ (2020)
63. Serlin Y, "Blood-brain barrier leakage : a new biomarker in transient ischemic attacks", Stroke, 50, pp.1266~1269 (2019)
64. Yoen Heera, "Blood-Brain Barrier Disruption in Mild Traumatic Brain Injury Patients with Post-Concussion Syndrome: Evaluation with Region-Based Quantification of Dynamic Contrast-Enhanced MR Imaging Parameters Using Automatic Whole-Brain Segmentation", Korean Journal of Radiology, 22(1), pp.118~130 (2021), 대한영상의학회[DOI]
65. Kim YS, "Altered vascular permeability in migraine-associated brain regions : evaluation with dynamic contrast-enhanced MRI", Radiology, 292, pp.713~720 (2019)
66. Wu CH, "Blood-brain barrier permeability in patients with reversible cerebral vasoconstriction syndrome assessed with dynamic contrast-enhanced MRI", Neurology, 97, pp.e1847~e1859 (2021)
67. Raja R, "MRI measurements of bloodbrain barrier function in dementia: a review of recent studies", Neuropharmacology, 134(Pt B), pp.259~271 (2018)
68. Cramer SP, "Accurate determination of blood-brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI : a simulation and in vivo study on healthy subjects and multiple sclerosis patients", J Cereb Blood Flow Metab, 34, pp.1655~1665 (2014)
69. Lim CM, "Methodologic concerns on the reported values for assessing permeability of the blood-brain barrier in the hippocampus", AJNR Am J Neuroradiol, 40, pp.E65~E66 (2019)
70. Heye T, "Reproducibility of dynamic contrast-enhanced MR imaging. Part I. Perfusion characteristics in the female pelvis by using multiple computer-aided diagnosis perfusion analysis solutions", Radiology, 266, pp.801~811 (2013)
71. Rata M, "Assessment of repeatability and treatment response in early phase clinical trials using DCEMRI : comparison of parametric analysis using MR-and CT-derived arterial input functions", Eur Radiol, 26, pp.1991~1998 (2016)
72. Filice S, "Dynamic contrast-enhanced perfusion MRI of high grade brain gliomas obtained with arterial or venous waveform input function", J Neuroimaging, 26, pp.124~129 (2016)
73. Port RE, "Dynamic contrast-enhanced MRI using Gd-DTPA : interindividual variability of the arterial input function and consequences for the assessment of kinetics in tumors", Magn Reson Med, 45, pp.1030~1038 (2001)
74. Li X, "Relative sensitivities of DCE-MRI pharmacokinetic parameters to arterial input function(AIF)scaling", J Magn Reson, 269, pp.104~112 (2016)
75. Huang W, "Variations of dynamic contrastenhanced magnetic resonance imaging in evaluation of breast cancer therapy response : a multicenter data analysis challenge", Transl Oncol, 7, pp.153~166 (2014)
76. Beuzit L, "Dynamic contrast-enhanced MRI : study of inter-software accuracy and reproducibility using simulated and clinical data", J Magn Reson Imaging, 43, pp.1288~1300 (2016)

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