Evaluation of perfusion CT in grading and prognostication of high-grade gliomas at diagnosis: A pilot study

American Journal of Roentgenology

Volumn 200, Issue 5, 2013, Pages

  Shankar, Jai Jai Shiva ^a   Woulfe, John ^b   Da Silva, Vasco ^b   Nguyen, Thanh B ^b  

^a QUEEN ELIZABETH II HEALTH SCIENCES CENTRE   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Cerebral blood volume; High grade glioma; Perfusion CT; Permeability surface area product

Indexed keywords

IOHEXOL; TEMOZOLOMIDE; CONTRAST MEDIUM; DIAGNOSTIC AGENT;

ADULT; AGE; AREA UNDER THE CURVE; ARTICLE; BLOOD BRAIN BARRIER; BRAIN BLOOD VOLUME; BRAIN SURGERY; CANCER GRADING; CANCER PROGNOSIS; CANCER RADIOTHERAPY; CANCER SURVIVAL; CLINICAL ARTICLE; CLINICAL EVALUATION; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; FEMALE; FOLLOW UP; GLIOBLASTOMA; GLIOMA; HUMAN; IMAGE PROCESSING; IMAGING SOFTWARE; MALE; MEMBRANE PERMEABILITY; MULTIDETECTOR COMPUTED TOMOGRAPHY; NERVOUS SYSTEM PARAMETERS; OLIGODENDROGLIOMA; PERFUSION COMPUTER ASSISTED TOMOGRAPHY; PERMEABILITY SURFACE AREA PRODUCT; PILOT STUDY; PREDICTIVE VALUE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME; BRAIN ANGIOGRAPHY; BRAIN TUMOR; EVALUATION; METHODOLOGY; MIDDLE AGED; PATHOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SCINTIGRAPHY;

BRAIN NEOPLASMS; CEREBRAL ANGIOGRAPHY; CONTRAST MEDIA; FEMALE; GLIOMA; HUMANS; IOHEXOL; MALE; MIDDLE AGED; NEOPLASM GRADING; PERFUSION IMAGING; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

MLCS; MLOWN;

EID: 84879322380     PISSN: 0361803X     EISSN: 15463141     Source Type: Journal    
DOI: 10.2214/AJR.12.8967     Document Type: Article

References (33)

1. Salman M. Glioblastoma and malignant astrocytoma. In: Kaye AH, Laws ER Jr., eds. Brain tumors: an encyclopedic approach. New York, NY: Churchill Livingstone, 1995:449-477
2. 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 2004; 25:746-755
3. Law M, Cha S, Knopp EA, et al. High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging. Radiology 2002; 222:715-721
4. Folkman J. The role of angiogenesis in tumor growth. Semin Cancer Biol 1992; 3:65-71
5. Nugent LJ, Jain RK. Extravascular diffusion in normal and neoplastic tissues. Cancer Res 1984; 44:238-244
6. Jain RK, Gerlowski LE. Extravascular transport in normal and tumor tissues. Crit Rev Oncol Hematol 1986; 5:115-170
7. Burger PC, Vogel FS. The brain tumors. In: Burger PC, Vogel FS, eds. Surgical pathology of the central nervous system and its coverings. New York: Wiley, 1982:223-266
8. Knopp EA, Cha S, Johnson G, et al. Glial neoplasms: dynamic contrast-enhanced T2-weighted MR imaging. Radiology 1999; 211:791-798
9. Wong JC, Provenzale JM, Petrella Jr. Perfusion MR imaging of brain neoplasms. AJR 2000; 174:1147-1157
10. 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
11. Lev MH, Rosen BR. Clinical applications of intracranial perfusion MR imaging. Neuroimaging Clin N Am 1999; 9:309-331
12. Shin JH, Lee HK, Kwun BD, et al. Using relative cerebral blood flow and volume to evaluate the histopathologic grade of cerebral gliomas: preliminary results. AJR 2002; 179:783-789
13. Petrella JR, Provenzale JM. MR perfusion imaging of the brain: techniques and applications. AJR 2000; 175:207-219
14. Law M, Yang S, Wang H, et al. Glioma grading: specificity and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR 2003; 24:1989-1998
15. 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; 48:773-781
16. Di Nallo AM, Vidiri A, Marzi S, et al. Quantitative analysis of CT-perfusion parameters in the evaluation of brain gliomas and metastases. J Exp Clin Cancer Res 2009; 28:38
17. Jain R, Gutierrez J, Narang J, et al. In vivo correlation of tumor blood volume and permeability with histologic and molecular angiogenic markers in gliomas. AJNR 2011; 32:388-394
18. 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 2004; 25:214-221
19. Oh J, Henry RG, Pirzkall A, et al. Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume. J Magn Reson Imaging 2004; 19:546-554
20. Patankar TF, Haroon HA, Mills SJ, et al. Is volume transfer coefficient (Ktrans) related to histologic grade in human gliomas? AJNR 2005; 26:2455-2465
21. Mills SJ, Patankar TA, Haroon HA, et al. Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma? AJNR 2006; 27:853-858
22. Law M, Oh S, Babb JS, et al. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging-prediction of patient clinical response. Radiology 2006; 238:658-667
23. Hirai T, Murakami R, Nakamura H, et al. Prognostic value of perfusion MR imaging of highgrade astrocytomas: long-term follow-up study. AJNR 2008; 29:1505-1510
24. Caseiras GB, Chheang S, Babb J, et al. Relative cerebral blood volume measurements of lowgrade gliomas predict patient outcome in a multiinstitution setting. Eur J Radiol 2010; 73:215-220
25. Mitchell CL, O'Connor JP, Jackson A, et al. Identification of early predictive imaging biomarkers and their relationship to serological angiogenic markers in patients with ovarian cancer with residual disease following cytotoxic therapy. Ann Oncol 2010; 21:1982-1989
26. Miles KA, Charnsangavej C, Lee F, et al. Application of CT in the investigation of angiogenesis in oncology. Acad Radiol 2000; 7:840-850
27. Ellika SK, Jain R, Patel SC, et al. Role of perfusion CT in glioma grading and comparison with conventional MR imaging features. AJNR 2007; 28:1981-1987
28. Jain R, Ellika SK, Scarpace L, et al. Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade. AJNR 2008; 29:694-700
29. Lupo JM, Cha S, Chang SM, Nelson SJ. Analysis of metabolic indices in regions of abnormal perfusion in patients with high-grade glioma. AJNR 2007; 28:1455-1461
30. Cenic A, Nabavi DG, Craen RA, Gelb AW, Lee TY. A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. AJNR 2000; 21:462-470
31. Roberts WG, Palade GE. Neovasculature induced by vascular endothelial growth factor is fenestrated. Cancer Res 1997; 57:765-772
32. Caloglu M, Yurut-Caloglu V, Karagol H, et al. Prognostic factors other than the performance status and age for glioblastoma multiforme: a singleinstitution experience. J BUON 2009; 14:211-218
33. Roberts WG, Delaat J, Nagane M, Huang S, Cavenee WK, Palade GE. Host microvasculature influence on tumor vascular morphology and endothelial gene expression. Am J Pathol 1998; 153:1239-1248