Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade

American Journal of Neuroradiology

Volumn 29, Issue 4, 2008, Pages 694-700

  Jain, Rajan ^a,b   Ellika, S K ^a   Scarpace, L ^a   Schultz, L R ^a   Rock, J P ^a   Gutierrez, J ^a   Patel, S C ^a   Ewing, J ^a   Mikkelsen, T ^a  

^a HENRY FORD HOSPITAL   (United States)

^b HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORTICOSTEROID;

ADULT; AGED; ARTICLE; BLOOD VESSEL PERMEABILITY; BRAIN BLOOD FLOW; BRAIN TUMOR; CANCER GRADING; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; CORRELATION ANALYSIS; FEMALE; GLIOMA; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; MACROGLIA; MALE; PERFUSION WEIGHTED IMAGING; WORLD HEALTH ORGANIZATION;

ADULT; AGED; ASTROCYTOMA; BLOOD FLOW VELOCITY; BLOOD VOLUME; BRAIN NEOPLASMS; CAPILLARY PERMEABILITY; CEREBROVASCULAR CIRCULATION; CONTRAST MEDIA; FEMALE; HUMANS; MALE; MIDDLE AGED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 42449092372     PISSN: 01956108     EISSN: None     Source Type: Journal    
DOI: 10.3174/ajnr.A0899     Document Type: Article

References (59)

1. Phongkitkarun S, Kobayashi S, Kan Z, et al. Quantification of angiogenesis by functional computed tomography in Matrigel model in rats. Acad Radiol 2004;11:573-82
2. Weidner N. Intratumor microvessel density as a prognostic factor in cancer. Am J Pathol 1995;147:9-19
3. van Dijke CF, Brasch RC, Roberts TP, et al. Mammary carcinoma model: correlation of macromolecular contrast-enhanced MR imaging characterizations of tumor microvasculature and histologic capillary density. Radiology 1996;198:813-18
4. Gossmann A, Okuhata Y, Shames DM, et al. Prostrate cancer tumor grade differentiation by dynamic contrast-enhanced MR imaging in the cat: comparison of macromolecular and small-molecular contrast media - preliminary experience. Radiology 1999;213:265-72
5. Daldrup H, Shames DM, Wendland M, et al. Correlation of dynamic contrast enhanced MR imaging with histologic tumor grade: comparison of macromolecular and small-molecular contrast media. AJR Am J Roentgenol 1998;171:941-49
6. Roberts HC, Roberts TP, Brasch RC, et al. Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. AJNR Am J Neuroradiol 2000;21:891-99
7. Roberts HC, Roberts TP, Bollen AW, et al. Correlation of microvascular permeability derived from dynamic contrast enhanced MR imaging with histologic grade and tumor labeling index: a study in human brain tumors. Acad Radiol 2001;8:384-91
8. Yuan F, Salehi HA, Boucher Y, et al. Vascular permeability and microcirculation of gliomas and mammary carcinomas transplanted in rat and mouse cranial windows. Cancer Res 1994;54:4564-68
9. Pham CD, Roberts TP, van Bruggen N, et al. Magnetic resonance imaging detects suppression of tumor vascular permeability after administration of antibody to vascular endothelial growth factor. Cancer Invest 1998;16:225-30
10. Law M, Yang S, Babb JS, et al. Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. AJNR Am J Neuroradiol 2004;25:746-55
11. Law M, Oh S, Johnson G, et al. Perfusion magnetic resonance imaging predicts patient outcome as an adjunct to histopathology: a second reference standard in the surgical and nonsurgical treatment of low grade gliomas. Neurosurgery 2006;58:1099-107
12. Gossmann A, Helbich TH, Kuriyama N, et al. Dynamic contrast-enhanced magnetic resonance imaging as a surrogate marker of tumor response to antiangiogenic therapy in a xenograft model of glioblastoma multiforme. J Magn Reson Imaging 2002;15:233-40
13. Cao Y, Shen Z, Chenevert TL, et al. Estimate of vascular permeability and cerebral blood volume using Gd-DTPA contrast enhancement and dynamic T2*-weighted MRI. J Magn Reson Imaging 2006;24:288-96
14. Jain R, Scarpace L, Ellika SK, et al. First pass perfusion computed tomography: initial experience in differentiating recurrent tumors from radiation effects and radiation necrosis. Neurosurgery. 2007;61:778-86
15. Ellika SK, Jain R, Patel SC, et al. Role of perfusion CT in glioma grading and comparison with conventional MR imaging features. AJNR Am J Neuroradiol 2007;28:1981-87
16. Roberts HC, Roberts TP, Lee TY, et al. Dynamic, contrast-enhanced CT of human brain tumors: quantitative assessment of blood volume, blood flow, and microvascular permeability - report of two cases. AJNR Am J Neuroradiol 2002;23:828-32
17. Ding B, Ling HW, Chen KM, et al. Comparison of cerebral blood volume and permeability in preoperative grading of intracranial glioma using CT perfusion imaging. Neuroradiology 2006;48:773-81
18. Yankeelov TE, Rooney WD, Huang W, et al. Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology. NMR Biomed 2005;18:173-85
19. Li X, Rooney WD, Springer CS. A unified magnetic resonance imaging pharmacokinetic theory: intravascular and extracellular contrast reagents. Magn Reson Med 2005; 54:1351-59
20. Yankeelov TE, Rooney WD, Li X, et al. Variation of the relaxographic "shutter-speed" for transcytolemmal water exchange affects the CR bolus-tracking curve shape. Magn Reson Med 2003;50:1151-69
21. Landis CS, Li X, Telang FW, et al. Determination of the MRI contrast agent concentration time course in vivo following bolus injection: effect of equilibrium transcytolemmal water exchange. Magn Reson Med 2000;44:563-74
22. Lev MH, Ozsunar Y, Henson JW, et al. Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas. AJNR Am J Neuroradiol 2004;25:214-21
23. Purdie TG, Henderson E, Lee TY. Functional CT imaging of angiogenesis in rabbit VX2 soft-tissue tumor. Phys Med Biol 2001;46:3161-75
24. Shweiki D, Itin A, Soffer D, et al. Vascular endothelial growth factor induced by hypoxia may mediate hypoxia-initiated angiogenesis. Nature 1992;359:843-45
25. Plate KH, Breier G, Weich HA, et al. Vascular endothelial growth factor is a potential tumor angiogenesis factor in human gliomas in vivo. Nature 1992;359:845-48
26. Jain RK. Determinants of tumor blood flow: a review. Cancer Res 1988;48:2641-58
27. Jain RK, Munn LL, Fukumura D. Dissecting tumor pathophysiology using intravital microscopy. Nat Rev Cancer 2002;2:266-76
28. Hashizume H, Baluk P, Morikawa S, et al. Openings between defective endothelial cells explain tumor vessel leakiness. Am J Pathol 2000;156:1363-80
29. Cha S. Update on brain tumor imaging: from anatomy to physiology. AJNR Am J Neuroradiol 2006;27:475-87
30. Louis DN, Ohgaki H, Wiestler OD, et al. WHO Classification of Tumors of the Central Nervous System. Lyon, France: WHO; 2007
31. Bhujwalla ZM, Artemov D, Natarajan K, et al. Reduction of vascular and permeable regions in solid tumors detected by macromolecular contrast magnetic resonance imaging after treatment with antiangiogenic agent TNP-470. Clin Cancer Res 2003;9:355-62
32. Provenzale JM, Mukundan S, Dewhirst M. The role of blood-brain-barrier permeability in brain tumor imaging and therapeutics. AJR Am J Roentgenol 2005;185:763-67
33. Lev MH, Rosen BR. Clinical applications of intracranial perfusion MR imaging. Neuroimaging Clin N Am 1999;9:309-31
34. Provenzale JM, Wang GR, Brenner T, et al. Comparison of permeability in high-grade and low-grade brain tumors using dynamic susceptibility contrast MR imaging. AJR Am J Roentgenol 2002;178:711-16
35. Jackson A, Kassner A, Annesley-Williams D, et al. Abnormalities in the recirculation phase of contrast agent bolus passage in cerebral gliomas: comparison with relative blood volume and tumor grade. AJNR Am J Neuroradiol 2002;23:7-14
36. Lupo JM, Cha S, Chang SM, et al. Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity. AJNR Am J Neuroradiol 2005;26:1446-54
37. Cha S, Knopp EA, Johnson G, et al. Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging. Radiology 2002;223:11-29
38. Maia AC, Malheiros SM, da Rocha AJ, et al. MR cerebral blood volume maps correlated with vascular endothelial growth factor expression and tumor grade in nonenhancing gliomas. AJNR Am J Neuroradiol 2005;26:777-83
39. Cenic A, Nabavi DG, Craen RA, et al. A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. AJNR Am J Neuroradiol 2000;21:462-70
40. Eastwood JD, Provenzale JM. Cerebral blood flow, blood volume, and vascular permeability of cerebral glioma assessed with dynamic CT perfusion imaging. Neuroradiology 2003;45:373-76
41. Vajkoczy P, Menger MD. Vascular microenvironment in gliomas. J Neurooncol 2000;50:99-108
42. McDonald DM, Choyke PL. Imaging of angiogenesis: from microscope to clinic. Nat Med 2003;9:713-25
43. de Lussanet QG, Langereis S, Beets-Tan RG, et al. Dynamic contrast enhanced MR imaging kinetic parameters and molecular weight of dendritic contrast agents in tumor angiogenesis in mice. Radiology 2005;235:65-72
44. Choyke PL. Contrast agents for imaging tumor angiogenesis: is bigger better? Radiology 2005;235:1-2
45. Goh V, Halligan S, Hugill JA, et al. Quantitative colorectal cancer perfusion measurement using dynamic contrast-enhanced multidetector-row computed tomography: effect of acquisition time and implications for protocols. J Comput Assist Tomogr 2005;29:59-63
46. Montermini D, Winlove CP, Michel C. Effects of perfusion rate on permeability of frog and rat mesenteric microvessels to sodium fluorescein. J Physiol 2002;543(Pt 3):959-75
47. Tofts PS, Brix G, Buckley DL, et al. Estimating kinetic parameters from dynamic contrast-enhanced T1-weighted MRI of a diffusible tracer: standardized quantities and symbols. J Magn Reson Imaging 1999;10:223-32
48. Uematsu H, Maeda M. Double-echo perfusion-weighted MR imaging: basic concepts and application in brain tumors for the assessment of tumor blood volume and vascular permeability. Eur Radiol 2006;16:180-86
49. Boxerman JL, Schmainda KM, Weisskoff RM. Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. AJNR Am J Neuroradiol 2006;27:859-67
50. Landis CS, Li X, Telang FW, et al. Equilibrium transcytolemmal water-exchange kinetics in skeletal muscle in vivo. Magn Reson Med 1999;42:467-78
51. Akbudak E, Norberg RE, Conturo TE. Contrast-agent phase effects: an experimental system for analysis of susceptibility, concentration, and bolus input function kinetics. Magn Reson Med 1997;38:990-1002
52. Conturo TE, Akbudak E, Kotys MS, et al. Arterial input functions for dynamic susceptibility contrast MRI: requirements and signal options. J Magn Reson Imaging 2005;22:697-703
53. Akbudak E, Conturo TE. Arterial input functions from MR phase imaging. Magn Reson Med 1996;36:809-15
54. Conturo TE, Barker PB, Mathews VP, et al. MR imaging of cerebral perfusion by phase-angle reconstruction of bolus paramagnetic-induced frequency shifts. Magn Reson Med 1992;27:375-90
55. Calamante F, Gadian DG, Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 2000;44:466-73
56. Calamante F, Gadian DG, Connelly A. Quantification of bolus-tracking MRI: improved characterization of the tissue residue function using Tikhonov regularization. Magn Reson Med 2003;50:1237-47
57. Calamante F, Morup M, Hansen LK. Defining a local arterial input function for perfusion MRI using independent component analysis. Magn Reson Med 2004;52:789-97
58. Johnson G, Wetzel SG, Cha S, et al. Measuring blood volume and vascular transfer constant from dynamic T(2)*-weighted contrast-enhanced MRI. Magn Reson Med 2004;51:961-68
59. Sharma S, Sharma MC, Gupta DK, et al. Angiogenic patterns and their quantitation in high grade astrocytic tumors. J Neurooncol 2006;79:19-30