Author, Subjects, Keywords

Cited Author

 
 
   » By Author or Editor
 » Browse Author by Alphabet
 » By Journal
 » By Subjects
 » Malaysian Journals
 » By Type
 » By Year
 » By Latest Additions
 
 
   » By Author
 » Top 20 Authors
 » Top 20 Article
 » Top Journal Cited
 » Top Article Cited
 » Journal Citation Statistics
 » Usage Since Sept 2007


 
 
 

Login | Create Account

Use of Permeability Surface Area-product to Differentiate Intracranial Tumours from Abscess

Ramli N., and Rahmat K., and Mah, E., and Waran, V., and Tan, L.K., and Chong, H.T., (2009) Use of Permeability Surface Area-product to Differentiate Intracranial Tumours from Abscess. Biomedical Imaging and Intervention Journal, 5 (1).

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
142Kb

Official URL: http://www.biij.org/2009/1/e6/e6.pdf

Affiliations

University of Malaya, Faculty of Medicine, Dept. of Biomedical Imaging
University of Malaya, Faculty of Medicine, Dept. of Biomedical Imaging
University of Malaya, Faculty of Medicine, Dept. of Biomedical Imaging
University of Malaya, Faculty of Medicine, Dept. of Surgery
University of Malaya, Faculty of Medicine, Dept. of Biomedical Imaging
University of Malaya, Faculty of Medicine, Dept. of Medicine

Abstract

Background and Purpose: Clinical and radiological findings of intracranial abscesses may mimic the findings of brain tumours and vice versa. However, the discrimination is of great clinical importance in planning treatment and in following prognosis and response to therapy. This study evaluates the Computed Tomography (CT) perfusion parameters, especially the permeability index, with the aim of evaluating the usefulness of dynamic CT perfusion imaging as an alternative tool to differentiate necrotic brain tumours and intracerebral abscesses. Materials and Methods: A total of 21 patients underwent perfusion CT study and were divided into 2 groups: Group 1, patients with necrotic brain tumours (n=13); and Group 2, patients with cerebral abscesses (n=8). The mean perfusion parameters were obtained from the enhancing part of the lesion. The relative ratios were then calculated by using the results from mirrored regions within the contralateral hemisphere as reference. Results: The results of this study showed that there was significant difference in the relative permeability surface values between necrotic brain tumours and cerebral abscesses (p=0.005). By applying the ROC curve, a value of 25.1 for rPS was found to be the best estimate to distinguish necrotic brain tumours from cerebral abscesses with a specificity of 88 % and sensitivity of 70 %. Conclusion: CT perfusion, especially permeability surface, may allow for better differentiation of cerebral abscesses from brain tumours, making it a strong additional imaging modality in the early diagnosis of these two entities.

Item Type:Journal
Keywords:CT perfusion; permeability surface area-product; brain abscess; necrotic tumours
Subjects:Q Science, Computer Science
ID Code:8805

1. Roberts HC, Roberts TP, Lee TY et al. Dynamic, contrastenhanced 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(5):828-32.

2. Xiao F, Tseng MY, Teng LJ et al. Brain abscess: clinical experience and analysis of prognostic factors. Surg Neurol 2005; 63(5):442-9; discussion 449-50.

3. Calfee DP, Wispelwey B. Brain Abscess, Subdural Empyema, and Intracranial Epidural Abscess. Curr Infect Dis Rep 1999; 1(2):166-71.

4. Erdogan C, Hakyemez B, Yildirim N et al. Brain abscess and cystic brain tumor: discrimination with dynamic susceptibility contrast perfusion-weighted MRI. J Comput Assist Tomogr 2005; 29(5):663-7.

5. Karampekios S, Hesselink J. Cerebral infections. Eur Radiol 2005; 15(3):485-93.

6. Nguyen JB, Black BR, Leimkuehler MM et al. Intracranial pyogenic abscess: imaging diagnosis utilizing recent advances in computed tomography and magnetic resonance imaging. Crit Rev Comput Tomogr 2004; 45(3):181-224.

7. Dvorak HF, Nagy JA, Feng D et al. Vascular permeability factor/vascular endothelial growth factor and the significance of microvascular hyperpermeability in angiogenesis. Curr Top Microbiol Immunol 1999; 237:97-132.

8. Ernst TM, Chang L, Witt MD et al. Cerebral toxoplasmosis and lymphoma in AIDS: perfusion MR imaging experience in 13 patients. Radiology 1998; 208(3):663-9.

9. Amoroso A, Del Porto F, Di Monaco C et al. Vascular endothelial growth factor: a key mediator of neoangiogenesis. A review. Eur Rev Med Pharmacol Sci 1997; 1(1-3):17-25.

10. Taylor JS, Tofts PS, Port R et al. MR imaging of tumor microcirculation: promise for the new millennium. J Magn Reson Imaging 1999; 10(6):903-7.

11. 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(5):891-9.

12. 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(3):763-7.

13. Griebel J, Mayr NA, de Vries A et al. Assessment of tumor microcirculation: a new role of dynamic contrast MR imaging. J Magn Reson Imaging 1997; 7(1):111-9.

14. 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(1):7-14.

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(10):773-81.

16. 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 Am J Neuroradiol 2008; 29(4):694-700.

17. Eastwood JD, Provenzale JM. Cerebral blood flow, blood volume, and vascular permeability of cerebral glioma assessed with dynamic CT perfusion imaging. Neuroradiology 2003; 45(6):373-6.

18. Roberts HC, Roberts TP, Lee TY et al. Dynamic, contrastenhanced 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(5):828-32. 19. Keith CJ, Griffiths M, Petersen B et al. Computed tomography perfusion imaging in acute stroke. Australas Radiol 2002; 46(3):221-30.

20. Leggett DA, Miles KA, Kelley BB. Blood-brain barrier and blood volume imaging of cerebral glioma using functional CT: a pictorial review. Australas Radiol 1998; 42(4):335-40.

21. Wintermark M, Maeder P, Verdun FR et al. Using 80 kVp versus 120 kVp in perfusion CT measurement of regional cerebral blood flow. AJNR Am J Neuroradiol 2000; 21(10):1881-4.

22. Sasaki et al. CT perfusion for acute stroke: Current concepts on technical aspects and clinical applications. International Congress Series 2006; 1290:30-6.

23. Roberts HC, Roberts TP, Smith WS et al. Multisection dynamic CT perfusion for acute cerebral ischemia: the "toggling-table" technique. AJNR Am J Neuroradiol 2001; 22(6):1077-80.

24. de Lussanet QG, Langereis S, Beets-Tan RG et al. Dynamic contrast-enhanced MR imaging kinetic parameters and molecular weight of dendriticcontrast agents in tumor angiogenesis in mice. Radiology 2005; 235(1):65-72.

25. Choyke PL. Contrast agents for imaging tumor angiogenesis: is bigger better? Radiology 2005; 235(1):1-2.

26. Mori S, Endo M, Nishizawa K et al. Comparison of patient doses in 256-slice CT and 16-slice CT scanners. Br J Radiol 2006; 79(937):56-61.

27. DeAnn H. Curent status of CT technology. Supplement to Applied Radiology 2007.

Repository Staff Only: item control page
 
 
 
 
 
 
© Copyright 2007 MyAIS Faculty of Computer Science and Information Technology, University of Malaya – All Rights Reserved. Malaysian Abstracting and Indexing System is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.