Zafar Sajjad ( Department of Radiology, Aga Khan University Hospital, Karachi. Pakistan. )
July 2008, Volume 58, Issue 7
Review Articles
Abstract
Introduction
The role of perfusion imaging in stroke
Imaging of cerebral infarction in the first hour after the onset of clinical symptoms is a challenge. On MR imaging this is achieved by employing Diffusion Weighted Imaging (DWI). However DWI only shows areas that are already irreversibly damaged. On CT there is no equivalent of the DWI and although the CT may be abnormal in the first hour the signs are subtle and difficult to recognise.<sup>10</sup> In both instances perfusion imaging provides the information required for effective decision making.
Perfusion Parameters in Stroke Imaging
Perfusion is defined as the amount of blood (volume) flowing through any tissue (mass) per unit time. It is usually expressed as millilitres per gram per minute (mL/Gm/min). In the normal brain, auto regulation of the vasculature maintains cerebral blood flow (CBF) to the grey matter between 50-60 mL/100Gm/min.11 CBF is the primary perfusion parameter that is studied. When CBF falls to approximately half of normal (35mL/100gm/min or less), protein synthesis in neurons stops completely however the neurons are functional and will survive if the CBF does not fall any further.12 When the CBF falls to approximately a third of normal (20mL/100gm/min or less) neuronal function is lost but the neurons may still be viable.4 This is the tissue at risk and can be salvaged if appropriate measures to restore the CBF are instituted. Irreversible cell death occurs when CBF falls to less than 20% of normal (10mL/100gm/min or less).13
Cerebral blood volume (CBV) is the volume of blood per unit brain mass. Normal CBV is 4-5 mL/100gm. In early ischaemia with the dilatation of the capillary bed the CBV rises slightly or is maintained at a near normal level despite the falling CBF. When CBV starts to fall irreversible cell death has occurred.4
Two parameters of transit times are usually employed depending on the exact calculation methodology employed. These are Mean Transit Time (MTT) and Time to Peak (TTP). MTT is the interval between arterial inflow and venous outflow and TTP is the time from the beginning of the contrast injection to the peak enhancement within a region of interest.4 Transit times become prolonged early in the course of the ischaemic event and increases to immeasurable levels as the infarct progresses.
[(0)]
[(1)]
MTT/TTP are the most sensitive for acute infarct and generally show the largest defects on perfusion maps but have the poorest correlation to eventual infarct size. CBV defects have the best correlation to eventual infarct size.14 CBF defects are the most specific for acute infarction. The methodology for calculating these parameters is different between CT and MR perfusion studies; there is a close correlation between the values obtained from the two modalities.15 The data whether obtained from CT or MR has the same clinical relevance and may be used interchangeably in clinical decision making. (Table 1) (Figure 1)
Although it is possible to calculate absolute values for CBF and CBV there are methodological constraints and these therefore in most clinical applications use relative values comparing the 'normal' from the 'abnormal' side based on the patient's symptoms. These relative values are denoted by prefixing a small case r to the abbreviations (rCBF, rCBV). The rCBF and rCBV accurately reflect the absolute values and are adequate for clinical applications.16
MR Perfusion Imaging
Not only can tissue at risk be identified with DWI/PWI mapping, MR angiography adds another dimension to the overall stroke imaging. It rapidly identifies patients that will need more aggressive interventions rather than just iv thrombolysis.
CT Perfusion Imaging
CT perfusion imaging is carried out after the injection of iodinated contrast medium. The same slice is repeatedly scanned and the rate of change of attenuation is plotted. On conventional spiral scanners only a single slice can be covered. On multi detector row CT (MDCT) more slices may be covered depending on the number of rows. The major limitation of CT perfusion imaging is that only the latest 64+ detector row CT scanners can achieve near complete coverage of the brain. Most scanners only cover 1 to 4, 10mm slices of the brain and therefore substantial perfusion defects may be missed unless multiple boluses are used.18 The operator sets regions of interest over the input artery and the draining vein. The rest of the calculations are usually automated.5
[(2)]
As there is no DWI equivalent in CT scanning the tissue at risk is calculated by rCBV/rCBF mismatch, as CBV has the closest correlation to DWI abnormalities.15 Like MR imaging it is now possible to have a 'one stop' imaging with CT scanning with the one scan providing anatomic, perfusion as well as angiographic information.19
CT or MR?
Limitations of Perfusion Imaging
The major limitation of MR perfusion imaging is related to the arterial input function (see above). As the acquisitions are dependent on a T2* signal drop it may not be possible to visually confirm the adequacy of the injection and therefore it is mandatory to plot a time activity curve to confirm that the bolus profile was satisfactory. Dispersion of the bolus leads to clinically significant errors in the calculation of CBF.20 CBV calculations may be more robust. Although relative values (rCBV, rCBF) may be less prone to bolus dispersion, as they depend on a comparison, if the two sides have symmetrical defects the maps will be erroneously normal. This is also true if the injection is either erroneously timed (or not given at all) so that the acquisition is completed before the bolus arrives.
Current Recommendations for the Use of Perfusion Imaging in Stroke
Although many studies have demonstrated that perfusion imaging provides additional information, systematic reviews of the published literature have failed to determine its exact role in either diagnosis or treatment stratification in acute stroke.21,22 There is no universal agreement as to the sensitivity or specificity of the mismatch or its role in selecting patients for thrombolysis. In view of these facts there are no clear cut recommendations. Common sense would suggest that while more data is accumulated patients should benefit from the additional information if it can be obtained within a reasonable length of time so that treatment is not delayed.
The Future
The stage is set for the next paradigm shift in imaging. MR permeability studies looking at the integrity of the blood brain barrier are already undergoing clinical trials.23 The early data suggests that disruption of the blood brain barrier may be a helpful sign in predicting haemorrhage in acute stroke.24 Developments in molecular imaging are targeting the molecular cascade in the development and evolution of the penumbra. New developments as well as better data to support the already established technologies is likely to have a significant impact leading to improvements in outcomes for stroke sufferers.
Situation in Pakistan
Although the availability of MR and CT units capable of carrying out state of art stroke imaging is growing, very few of these are in acute hospitals where acute neurological emergencies are handled. As an example in Karachi, of over 20 centres with either a MR or a CT scanner only 2 units offer routine perfusion imaging. There has to be a serious rethink of the health care strategies to make healthcare more accessible and relevant for the people of Pakistan.25
Summary
References
1. Kennady JC, Taplin GV. Albumin Macroaggregates for brain scanning: Experimental basis and safety in primates. J Nucl Med. 1965;6:566-81.
2. Briz-Kanafani S, Garcia-Montemayor E. Perfusion brain scans and the anatomic lesions encountered: A correlation. AJNR. 1970;109(4):686-691
3. Le Bihan D. Diffusion Perfusion MR imaging of the brain: From structure to function. Radiology 1990;177-328-29.
4. Koenig M, Koltz E, Luka B, Vanderink DJ, Spittler JF, Heuser L. Perfusion CT of the brain: Diagnostic approach for early detection of ischemic stroke. Radiology 1998;209:85-93.
5. Srinivasan A, Goyal M, Al Azri F, Lum C. State of Art imaging in acute stroke. Radiographics. 2006; 26:S75-S95.
6. Tomandl BF, Klotz E, Handschu R, Stemper B, Rienhardt, Huk WJ, et al. Comprehensive imaging of ischemic stoke with multi section CT. RadioGraphics 2003;23:565-92.
7. Hussain Z, Sajjad Z, MR Perfusion Imaging. Pak J Neurol Sci 2006;1: 162-66.
8. Tissue Plasminogin activator for acute ischemic stroke. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. N Engl J Med 1995;333:1581-87.
9. Hacke W, Kaste M, Fieschi C, Toni D, Lesaffre E, von Kummer R, Boysen G, et al. Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke. The European Cooperative Acute Stroke Study (ECASS). JAMA. 1995;274: 1017-25.
10. Roberts HC, Dillon WP, Furlan AJ, Wechsler LR, Rowley HA, Fischbein NJ, et al. Computed tomographic findings in patients undergoing intra-arterial thrombolysis for acute ischemic stroke due to middle cerebral artery occlusion: results from the PROACT II trial. Stroke. 2002; 33: 1557-65.
11. Heiss WD. Ischemic penumbra: Evidence from functional imaging in man. J Cereb Blood Flow Metab 2000;20:1276-93.
12. Mies G, Ishimaru S, Xie Y, Seo K, Hossmann KA. Ischemic thresholds of cerebral protein synthesis and energy state following middle cerebral artery occlusion in rat. J Cerb Blood Flow Metab1991;11:753-61.
13. Astrup J, Siesjo BK, Symon L. Thresholds in cerebral ischemia. : The ischemic penumbra. Stroke 1981;12:723-25.
14. Karonen JO, Liu Y, Vanninen RL, Ostergaard L, Kaarina Partanen PL, Vainio PA, et al. Combined perfusion- and diffusion weighted MR imaging in acute ischemic stroke during the 1st week: a longitudinal study. Radiology 2000;217: 886-94.
15. Eastwood JD. Lev MH, Wintermark M, Fitzek C, Barboriak DP, Delong DM, et al. Correlation of early dynamic CT perfusion imaging with whole brain MR diffusion and perfusion imaging in acute hemispheric stroke. Am J Neuroradiol 2003;24:1869-75.
16. Grandin CB, Duprez TP, Smith AM, Oppenheim C, Peeters A, Robert AR, et al. Which MR derived perfusion parameters are the best predictors of infarct growth in hyper acute stroke? Comparative study between relative and quantitative measurements. Radiology 2002; 223: 361-70.
17. van Laar PJ, van der Grond J, Hendrikse J. Brain perfusion territory imaging: methods and clinical applications of selective arterial spin-labeling MR imaging. Radiology. 2008;246: 354-64.
18. Mayer TE, Hamann GF, Baranczyk J, Rosengarten B, Klotz E, Wiesmann M, et al. Dynamic CT perfusion imaging of acute stroke. AJNR Am J Neuroradiol. 2000; 21: 1441-49.
19. Smith WS, Roberts HC, Chuang NA, Ong KC, Lee TJ, Johnston SC, et al. Safety and feasibility of a CT protocol for acute stroke: combined CT, CT angiography and CT perfusion imaging in 53 consecutive patients. AJNR Am J Neuroradiol. 2003; 24: 688-90.
20. Calamante F, Gadian DG, Connelly A. Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke: assumptions, limitations and potential implications for clinical use. Stroke. 2002;33: 1146-51.
21. Kane I, Sandercock P, Wardlaw J. Magnetic resonance perfusion diffusion mismatch and thrombolysis in acute ischaemic stroke: a systematic review of the evidence to date. J Neurol Neurosurg Psychiatry. 2007; 78: 485-91. Epub 2006..
22. Keir SL, Wardlaw JM. Systematic review of diffusion and perfusion imaging in acute ischemic stroke. Stroke. 2000;31: 2723-31.
23. Kassner A, Roberts TP. Beyond perfusion: cerebral vascular reactivity and assessment of microvascular permeability.Top Magn Reson Imaging. 2004; 15: 58-65.
24. Kassner A, Roberts T, Taylor K, Silver F, Mikulis D. Prediction of hemorrhage in acute ischemic stroke using permeability MR imaging. AJNR Am J Neuroradiol. 2005; 26: 2213-17.
25. Sajjad Z. Multi-slice CT Scanning, Editorial. Pak J Neur S 2006; 1: 4-5.
Journal of the Pakistan Medical Association has agreed to receive and publish manuscripts in accordance with the principles of the following committees:




