Brain Computed Tomography Perfusion in Patients with Steno-Occlusive Disease of Brachiocephalic Arteries: Assessment of Variability Quantitative Parameters, Generated by Different Software
Abstract
The aim of our study was evaluation of the variability of quantitative brain CT-perfusion values in group of patients (n = 72) with brachiocephalic artery steno-occlusive disease using different software for data postprocessing. Initial data of CT-perfusion in the total group of patients were subsequently processed, using three different commercial software postprocessing packages (Philips ≪sensitive≫, Philips ≪insensitive≫ and General Electric). It was revealed that the average absolute value of the perfusion parameter in the general group of patients were significantly different (p > 0,005) in case of using different commercial software packages for processing the raw data. But, a comparative correlation analysis of absolute and relative data in general group of patients showed statistically significant high correlation between the data obtained from aforesaid three software packages. As a result, we can conclude that the using of different commercial software packages, based on different versions of mathematical data postprocessing algorithm, provide a significant differences in the resulting of absolute and relative perfusion parameters, and can affect on the accuracy of the cerebral hemodynamics evaluation features in clinical practice. Such differences point to the importance of using not only the identical scanning protocols, but also identical postprocessing software.
About the Authors
Anna V. VishnevskayaRussian Federation
Postgraduate of Department of Radiological Metods of Diagnosis and Treatment
Evgeny V. Kondrat’ev
Russian Federation
Ph. D. Med., Researcher in of Department of Radiological Metods of Diagnosis and Treatment
Marina F. Proskurina
Russian Federation
Ph. D. Med., Clinical Lider CT
Maksim D. Smirnov
Russian Federation
Ph. D. Med., Senior Clinical Application Specialist MDCT
Grigory G. Karmazanovsky
Russian Federation
M. D. Med., Professor, Head of Department of Radiological Metods of Diagnosis and Treatment
References
1. Kornienko V. N., Pronin I. N., Pyanykh O. S., Fadeeva L. M. Study of brain perfusion, using CT. Med. Vis. 2007. No. 2. P. 70–81 (in Russian).
2. Lipovetsky B. M., Kataeva G. V. Differentiated evaluation of regional cerebral perfusion in patients with cerebrovascular disease compared with the further passage. Med. Vis. 2012. No. 4. P. 91–95 (in Russian).
3. Semenov S. E., Khromov A. A., Portnov Yu. M., Nesterovsky A. V. Perfusion study in disorders of cerebral circulation. Part I (history, basic postulates and research methods). Overview. Complex problems cardiovascular diseases. 2016. No. 1. P. 95–102 (in Russian).
4. Sokolova L. P. Perfusion and cerebral blood flow during cognitive dodementnyh disorders of various origins. Radiologiya – praktika. 2011. No. 5. P. 51–57 (in Russian).
5. Kondratyev E., Karmazanovsky G. Low radiation dose 256-MDCT angiography of the carotid arteries: effect of hybrid iterative reconstruction technique on noise, artifacts, and image quality // Eur. J. Radiol. 2013. V. 82. № 12. P. 2233–2239.
6. Bennink E., Riordan A. J., Horsch A. D. et al. Fast nonlinear regression method for CT brain perfusion analysis // J. Cereb. Blood Flow Metab. 2013. № 33. P. 1743–1751.
7. Bivard A., Levi C., Spratt N., Parsons M. Perfusion CT in acute stroke: a comprehensive analysis of infarct and penumbra // Radiology. 2013. V. 267. № 2. P. 543–550.
8. Eicker S., Turowski B., Heiroth H. J., Steiger H. J., Hänggi D. A comparative study of perfusion CT and 99mTc-HMPAO SPECT measurement to assess cerebrovascular reserve capacity in patients with internal carotid artery occlusion // Eur. J. Med. Res. 2011. № 16. V. 484–490.
9. Serafin Z., Kotarsky M., Karolkiewicz M. et al. Reproducibility of dynamic computed tomography brain perfusion measurements in patients with significant carotid artery stenosis // Acta Radiologica. 2009. V. 50. № 2. P. 226–232.
10. Kudo K., Sasaki M., Yamada K. et al. Differences in CT perfusion maps generated by different commercial software: quantitative analysis by using identical source data of acute stroke patients // Radiology. 2010. № 254. P. 200–209.
11. Man F., Patrie J. T., Xin W. et al. Delaysensitive and delay-insensitive deconvolution perfusion CT: similar ischemic core and penumbra volumes if appropriate threshold selected for each // Neuroradiol. 2015. V. 57. № 6. P. 573–581.
12. Sanelli P. C., Nicola G., Tsiouris A. J. et al. Reproducibility of postprocessing of quantitative CT perfusion maps // AJR. 2007. № 188. P. 213–218.
13. Turk A. S., Grayev A., Rowley Н. А., Field А. S., Turski P., Pulfer K. Variability of clinical
14. CT perfusion measurements in patients with carotid stenosis // Neuroradiol. 2007. № 49. P. 955–961.
15. Bennik E., Oosterbroek J., Horsch A. D. et al. Influence of thin slice reconstruction on CT brain perfusion analysis // PLoS One. 2015. V. 10. № 9. P. 1–14.
Review
For citations:
Vishnevskaya A., Kondrat’ev E., Proskurina M., Smirnov M., Karmazanovsky G. Brain Computed Tomography Perfusion in Patients with Steno-Occlusive Disease of Brachiocephalic Arteries: Assessment of Variability Quantitative Parameters, Generated by Different Software. Radiology - Practice. 2016;(6):16-28. (In Russ.)