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Dynamic Contrast-Enhanced Magnetic-Resonance Angiography of Brain Vessels and Perfusion Imaging of Recurrent Brain Tumor

Abstract

Aim. To evaluate the possibility of differential diagnosis of progression and stabilization of brain tumor process by methods of dynamic contrast-enhanced magnetic-resonance angiography (DCE-MRA) and perfusion MRI in patients after surgical treatment. Materials and methods. The study included 13 patients who were imaged with suspected recurrent tumor disease after surgery. Pathological diagnosis: anaplastic astrocytoma (G3) - 6, astrocytoma (G2) - 4, anaplastic meningeoma - 1, meningioma - 1, cyst - 1. DCE-MRA was performed in 3DFFE imaging technique and in result we got a 3 phase: arterial, venous and equilibrium with slice thickness 1.2 mm. Tumor image and hemodynamics by DCE- MRA imaging and perfusion maps using a 3-point scale were assessed. In addition, it was used three-point scale to determine the contribution PWI and DCE-MRA in addition to the diagnosis of the main results of the contrast study. To describe the changes in the centers of lesions between the images which were obtained after the first and second administration of contrast agent we used a 4-point scale. Results. By comparing evaluation of hemodynamics there were detected significant differences in arterial and venous phase DCE-MRA (p < 0.016), and significant differences between mixed and venous phases were not detected (p > 0.06). Between the ranks of the perfusion maps (rCBV, rCBF and rMTT) there were not found any significant differences, and no differences between the ranks of venous phases DCE-MRA and PWI (p > 0.7). Evaluation of ranks contribution DCE-MRA and pWi for the decision on a definitive diagnosis showed no significant difference between them (p > 0.7). By comparative analysis of DCE-MRA contributions to the final diagnosis on the results of the study in contrasting with double dose there were revealed significant differences (p < 0.0003). Conclusion. The DCE-MRA of cerebral vessels can be considered as a biomarker of tumor neovascularization, reveals abnormal vasculature in postoperative patients with progressive disease and assess the state of hemodynamics after surgical intervention during the stabilized process.

About the Authors

Oleg Yurievich Borodin
Tomsk Regional Oncology Center; Research Institute for Cardiology; Siberian State Medical University
Russian Federation


Vladimir Yurievich Ussov
Research Institute for Cardiology
Russian Federation


Anastasiya Aleksandrovna Ermakova
Siberian State Medical University
Russian Federation


Irina Borisovna Pizhova
Tomsk Regional Oncology Center
Russian Federation


Maksim Yurievich Sannikov
Tomsk Regional Oncology Center
Russian Federation


Elena Vladimirovna Kazanceva
Tomsk Regional Oncology Center
Russian Federation


Vasiliy Mihailovich Rizhakov
Tomsk Regional Oncology Center
Russian Federation


References

1. Трофимова Т.Н., Трофимов Е.А. Современные стратегии лучевой диагностики при первичных опухолях головного мозга. Практическая онкология. 2013;14 (3): 141-147.

2. Aronen H.J., Gazit I.E., Louis D.N. et al. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology. 1994; 191 (1): 41-51.

3. Law M. ,Yang S., Wang H. et al. Glioma Grading: Sensitivity, Specificity, and Predictive Values of Perfusion MR Imaging and Proton MR Spectroscopic Imaging Compared with Conventional MR Imaging. Am. J. Neuroradiol. 2003; 24: 1989-1998.

4. Kapoor G.S., Gocke T.A., Chawla S. et al. Magnetic resonance perfusion weighted imaging defines angiogenic subtypes of oligodendroglioma according to 1p19q and EGFR status. J. Neurooncol. 2009; 92 (3): 373-386.

5. Hilario A., Ramos A., Perez-Nuñez A. et al. The added value of ADC to cerebral blood volume in the preoperative grading of diffuse gliomas. Am. J. Neuroradiol. 2012; 33 (4): 701-707.

6. Shiroishi M.S., Habibi M., Rajderkar D. et al. Perfusion and permeability MR imaging of gliomas. Technol. Cancer Res. Treat. 2011; 10 (1): 59-71.

7. Hakyemez B., Erdogan C., Bolca N. et al. Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging. J. Magn. Reson. Imaging. 2006; 24 (4): 817-824.

8. Law M., Cha S., Knopp E.A. et al. High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging. Radiology. 2002; 222 (3): 715-721.

9. Cha S. Perfusion MR imaging of brain tumors. Top. Magn. Reson. Imaging. 2004; 15(5): 279-289.

10. Kim H.S., Kim J.H., Kim S.H. et. al. Posttreatment highgrade glioma: usefulness of peak height position with semiquantitative MR perfusion histogram analysis in an entire contrast-enhanced lesion for predicting volume fraction of recurrence. Radiology. 2010; 256 (3): 906-915.

11. Sawlani R.N., Raizer J., Horowitz S.W. et al. Glioblastoma: a method for predicting response to antiangiogenic chemotherapy by using MR perfusion imaging-pilot study. Radiology. 2010; 255 (2): 622-628.

12. Kong D.S., Kim S.T., Kim E.H. et. al. Diagnostic dilemma of pseudoprogression in the treatment of new lydiagnosed glioblastomas: the role of assessing relative cerebral bloodflow volume andoxygen-6-methylguanine-DNAmet hyltransferasepromotermethylation status. Am. J. Neuroradiol. 2011; 32 (2): 382-387.

13. Stark A.M., Nabavi A., Mehdorn H.M. et al. Glioblastoma multiforme-report of 267 cases treated at a single institution. Surg. Neurol. 2005; 63 (2): 162-169.

14. Law M., Oh S., Babb J.S. et al. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging - prediction of patient clinical response. Radiology. 2006; 238 (2): 658-667.

15. Cha S., Tihan T., Crawford F. et al. Differentiation of low grade oligodendrogliomas from low-grade astrocytomas by using quantitative blood-volume measurements derived from dynamic susceptibility contrast-enhanced MR imaging. Am. J. Neuroradiol. 2005; 26: 266-273

16. Lev M.H., Ozsunar Y., Henson J.W. 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 oligodendroglimoas. Am. J. Neuroradiol. 2004; 25: 214-221.

17. Bisdas S., Kirkpatrick M., Giglio P. et al. Cerebral blood volume measurements by perfusion-weighted MR imaging in gliomas: ready for prime time in predicting short-term outcome and recurrent disease? Am. J. Neuroradiol. 2009; 30: 681-688.

18. Michaely H.J., Herrmann K.A., Dietrich O. et al. Quantitative and qualitative characterization of vascularization and hemodynamics in head and neck tumors with a 3D magnetic resonance time-resolved echo-shared angiographic technique (TREAT): initial results. Eur. Radiol. 2007; 17: 1101-1110.

19. Neves F., Huwart L., Jourdan G. et al. Head and neck paragangliomas: value of contrast-enhanced 3D MR angiography. Am. J. Neuroradiol. 2008;29: 833-839.

20. Бородин О.Ю. Сравнительный анализ возможностей динамической контрастной (3DFFE) и времяпролетной (3DTOF) магнитно-резонансной ангиографии в диагностике аневризм и мальформаций сосудов головного мозга. Сибирский медицинский журнал. 2011; 26 (31): 87-95.

21. Бородин О.Ю., Белянин М.Л., Филимонов В.Д. и др. Способ контрастированной магнитно-резонансной ангиографии сосудов головного мозга. Патент на изобретение RUS 2546092 от 20.12.2013.

22. Wesseling P., van der Laak J.A., Link M. et. al. Quantitative analysis of microvascular changes in diffuse astrocytic neoplasms with increasing grade of malignancy. Hum. Pathol. 1998; 29: 352-358.

23. Preusser M., Heinzl H., Gelpi E. et al. European Organization for Research and Treatment of Cancer Brain Tumor Group. Histopathologic assessment of hot-spot microvessel density and vascular patterns in glioblastoma: Poor observer agreement limits clinical utility as prognostic factors: a translational research project of the European Organization for Research and Treatment of Cancer Brain Tumor Group. Cancer. 2006; 107:162-170.

24. Russell S.M., Elliott R., Forshaw D. et. al. Glioma vascularity correlates with reduced patient survival and increased malignancy. Surg. Neurol. 2009; 72:242-246.

25. Wetzel S.G., Cha S., Law M. et al. Preoperative assessment of intracranial tumors with perfusion MR and a volumetric interpolated examination: a comparative study with DSA. Am. J. Neuroradiol. 2002; 23: 1767-1774.

26. Lam W.W., Chan K.W., Wong W.L. et al. Pre-operative grading of intracranial glioma. Acta Radiol. 2001; 42: 548-554.

27. Lee S.J., Kim J.H., Kim Y.M. et al. Perfusion MR imaging in gliomas: comparison with histologic tumor grade. Korean J. Radiol. 2001; 2: 1-7.

28. Puig J., Blasco G., Daunis-i-Estadella J. et al. Highresolution blood-pool-contrast-enhanced MR angiography in glioblastoma: tumor-associated neo vascularization as a biomarker for patient survival. A preliminary study. Neuroradiology. 2016; 58 (1): 17-26


Review

For citations:


Borodin O.Yu., Ussov V.Yu., Ermakova A.A., Pizhova I.B., Sannikov M.Yu., Kazanceva E.V., Rizhakov V.M. Dynamic Contrast-Enhanced Magnetic-Resonance Angiography of Brain Vessels and Perfusion Imaging of Recurrent Brain Tumor. Medical Visualization. 2016;(3):71-79. (In Russ.)

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)