Warning: Declaration of My_Walker::start_el(&$output, $item, $depth, $args) should be compatible with Walker_Nav_Menu::start_el(&$output, $data_object, $depth = 0, $args = NULL, $current_object_id = 0) in /home2/ajnrblog/public_html/ajnrdigest/wp-content/themes/ajnr/functions.php on line 258
Collateral Circulation in Acute Ischemic Stroke: A Too-Long-Neglected Treasure That Was Always Before Our Eyes - AJNR News Digest
September-October 2016
Introduction

Collateral Circulation in Acute Ischemic Stroke: A Too-Long-Neglected Treasure That Was Always Before Our Eyes

Francois Nicoli

Prof. François Nicoli

The story of the cerebral collateral circulation began a very long time ago, more than a century.1

As early as 1987, an angiographic study performed in patients with a subacute proximal MCA occlusion provided evidence of the clinical impact of the velocity of the retrograde collateral filling. Authors of this study found that if the conduction time of contrast medium, from the intracranial siphon to the insular portion of the MCA (M2) through the anterior cerebral arteries, was higher than 5 seconds, then an extensive CT hypodensity would develop.2 Two years later, Bozzao et al3 demonstrated that the presence of a good collateral circulation during the first 6 hours after a stroke reduced the size of the final parenchymal brain damage in patients with middle cerebral artery stem–trunk occlusion. In 2002, by using a multivariate analysis applied to a cohort of about 100 patients with MCA M1 occlusion mostly treated with intra-arterial thrombolysis, Kucinski et al4 demonstrated that the angiographic degree of collateralization was the only predictive factor of clinical outcome.

The in vivo visualization of the leptomeningeal arterial supply was only possible by using conventional angiography until 1997, the date of the first attempt to visualize the collateral circulation by using CT angiography.5 CTA clot burden score and collateral score were described only 12 years later by Tan et al.6

Thanks to this original method able to noninvasively assess the extent of the collateral circulation, to the growing availability of efficient acute stroke treatments like intravenous thrombolysis (IVT) and endovascular thrombectomy, and to the increasing number of comprehensive stroke centers, the awareness of physicians about the collateral status of patients with acute intracranial arterial occlusion was progressively raised after many years of oversight or indifference. The recent increasing number of publications relative to the impact of baseline collateral circulation on outcome of patients with acute ischemic stroke clearly demonstrates this evolution (Figure).

Key dates in the recent story of collaterals in ischemic stroke.5,6,11,17,27-30

Key dates in the recent story of collaterals in ischemic stroke.5,6,11,17,27-30

Papers selected for this edition of the AJNR News Digest highlight the intensity of the recent research focused on cerebral collaterals and on either CT-based or MR-based methods able to noninvasively and accurately assess the collateral circulation at the acute phase of stroke.

CT Angiographic Assessment of Collaterals

In 2015, Fanou et al7 showed that the collateral circulation, as assessed by using CTA, was an independent predictor of radiologic and clinical outcomes. The magnitude of significance was greater in patients who did not recanalize versus those who did recanalize. In addition, this predictive value was often increased by using the combination of information relative to the baseline collateral status and the total ischemic volume.7

Interestingly, the same year, Cheng-Ching et al8 demonstrated that the CTA collateral status but not time from stroke onset to imaging was an independent predictor of the size of core infarct in patients with anterior circulation large vessel occlusion presenting within 6 hours from onset. Thus, as suggested by some studies9 and results of several recent positive randomized endovascular trials,10 both baseline parameters, collateral status and core volume, are important to take into consideration for a better selection of patients for endovascular procedures. The same reasoning was also recently formulated in conclusions of the Acute Stroke Imaging Research Roadmap III about imaging selection and outcomes in acute stroke reperfusion clinical trials11 (Figure).

However, results of the CTA collateral assessment depend on the technique used. Indeed, recent studies showed the higher accuracy of multiphase or dynamic CTA versus single-phase CTA for the assessment of collaterals in patients with acute stroke.12–14 In comparison with multiphase or dynamic CTA, single-phase CTA clearly underestimates the collateral circulation. The assessment of collaterals by using multiphase and dynamic CTA provides a more accurate prediction of clinical outcome compared with conventional single-phase CTA.12–14 In addition, dynamic CTA, particularly if assessed in the arteriovenous phase, is superior to conventional CTA in predicting the follow-up infarction volume.13 A great advantage of dynamic CTA over multiphase CTA is that dynamic CTA is constructed from CT perfusion data, which have additional value like the possible estimation of the core volume through the measure of the severely decreased cerebral blood flow and the computation of Tmax maps to evaluate the hypoperfused areas at risk of necrosis.14 Using dynamic CTA, van den Wijngaard et al14 also evaluated the velocity of collateral filling by calculating the duration in seconds of contrast arrival at the ICA until maximal contrast enhancement was achieved for each hemisphere separately. These authors proposed defining a fast filling as an optimal filling within 4.5 seconds after optimal filling in the unaffected hemisphere.

Thus, dynamic CTA is able to provide a noninvasive and accurate characterization of the extent and the velocity of the collateral filling in patients with large intracranial arterial occlusion.

MR-Based Methods for the Assessment of Collaterals

In spite of CT-based methods used to estimate the extent of the ischemic core, like dynamic CTA or the CT perfusion measurement of the area of severely decreased CBF, diffusion-weighted imaging remains the more accurate way to delimitate the ischemic core and diagnose stroke mimics.15 Thus, one must be able to noninvasively and accurately assess the extent and the vigor of the collateral circulation by using a either CT-based method or MR imaging.

With this in mind, different strategies based on MR imaging have been proposed. Some of the most interesting methods are presented here. As for CT, 3 MR-based methods can be used to evaluate the collateral circulation: perfusion-weighted imaging, conventional MR angiography, and dynamic MRA.

MR Perfusion-Weighted Imaging

In comparison with dynamic CTA, multimodal MRI combining DWI and PWI provides more accurate information about the status of brain tissue in patients with acute stroke. However, it is much more difficult to extrapolate information about the collateral flow from MR PWI data. The most interesting methods are those based on a Tmax ratio computed from brain tissue analysis,16–18 those based on a specific pial Tmax assessment,19 those based on an accurate measurement of the arterial-to-tissue delay (ATD) correlated to the retrograde collateral filling,17,20 and those based on subtracted dynamic MR perfusion source images.21

For a long time, a good collateral flow has been known to be able to preserve tissue from ischemia until recanalization occurs. Very interestingly, several studies based on MR PWI recently demonstrated that a good collateral flow is also an independent predictor of recanalization after intravenous thrombolysis or endovascular thrombectomy.9,17,19–21

In 1992, Ringelstein et al22 suggested, for the first time, that a better collateral flow could increase the recanalization rate after IVT thanks to retrograde delivery of rtPA to the distal end of the clot. The first scientific validation of this exciting hypothesis was performed just 20 years later by Nicoli et al using MR PWI.17 To achieve this goal, it was necessary to define an index derived from the baseline MR perfusion imaging in order to noninvasively and indirectly quantify the collateral circulation deficit. Using a PWI-derived collateral flow index based on Tmax maps at different time points, this work provided the first evidence that a good baseline supplying flow significantly increases the rate of full recanalization at 24 hours in patients with acute MCA M1 occlusion treated with IVT within 3 hours after stroke onset.17 This result was confirmed in the same patient cohort by using an accurate measurement of the volume of tissue with severely increased increased ATD.9,17  Similar to results obtained by Saito et al in 1987,2 a volume of tissue with an ATD higher than 6 seconds clearly discriminates patients with good collateral flow from others.9

Very recently, thanks to measurement of the ATD from MR PWI data, Zhang et al20 fully confirmed that the velocity of collateral filling is independently associated with the rate of MCA recanalization at 24 hours after IVT. It is well known that an early MCA recanalization after IVT is an independent predictor of good clinical outcome at 3 months after stroke onset. But, a reocclusion or a late MCA recanalization can also occur within 24 hours after IVT and negatively or positively influence the outcome.17 This probably explains why a full MCA recanalization within 24 hours post-IVT is also a strong predictor per se of good stroke outcome at 3 months after thrombolysis.17 Thus, methods able to predict MCA recanalization 24 hours after IVT, like those described here, provide important information about the individual benefit of IVT during this acute period. Consequently, an aggressive treatment such as endovascular thrombectomy could be more justified if one can guarantee, before any treatment, that acute MCA occlusion would not be recanalized, even 24 hours later, if IVT was performed alone.

Other methods of collateral flow assessment based on MR PWI have been proposed and a very recent one is particularly interesting. In the preliminary study of Potrek et al,19 the analysis of the collateral flow performed through a Tmax quantification artfully focused on the pial compartment, i.e., where collateral vessels are located, was able to noninvasively and clearly separate almost all groups of patients with MCAocclusion according to their collateral status angiographically evaluated by using the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology [ASITN/SIR] Scale. Indeed, such accuracy is not achieved by other noninvasive methods of collateral flow assessment based on MR PWI and only focused on brain tissue analysis. However, further studies are required to confirm these interesting results and make this new method applicable in routine practice.

Conventional MR Angiography

In 2015, Ernst et al23 proposed an automated method of quantification of collaterals based on TOF- and contrast-enhanced MRA. To achieve this goal, the signal intensity of all MCA vascular voxels in each hemisphere distal to the MCA M1 segment was measured by using a statistical cerebroarterial atlas derived from normal MRA datasets. Then, the collateral signal was quantified thanks to a comparison with this arterial atlas. The atlas-based collateral index combining the signal of TOF- and contrast-enhanced MRA was the overall best discriminator for effective reperfusion (percentage of penumbra saved, >50%; area under the curve, 0.89; P <.001). Also, this study confirmed that collateral status is an independent predictor of penumbral reperfusion and good outcome. These authors also suggested that no visible collaterals in contrast-enhanced MRA reliably identified patients with poor outcome and high probability of futile recanalization. However, this interesting preliminary study needs to be further validated by comparison against an angiographic collateral scoring in a larger cohort of patients.

Dynamic MR Angiography

Finally, the Holy Grail of an MR-based collateral assessment would be, like dynamic CTA, to directly visualize the dynamic of the collateral circulation in patients with an acute large intracranial arterial occlusion. Hernandez-Perez et al24 used contrast-enhanced dynamic MR angiography (dMRA) to analyze cerebral vessels on a 3T scanner. These authors demonstrated that, as during conventional angiography, the leptomeningeal collaterality can be classified on dMRA images using the reference ASITN/SIR Scale. Moreover, dMRA allows an analysis of asymmetries in venous clearance. Obviously, this noninvasive method is very promising because it is a fast (90 seconds), direct, feasible, and reliable method to assess site of occlusion, collateral circulation, and hemodynamic alterations.24 However, it is also a preliminary study that needs further validation by comparison against conventional angiography in a large cohort of patients with anterior circulation large vessel occlusion treated with systemic thrombolysis and/or thrombectomy.

Several recent studies provided evidence that good collaterals are an independent predictor of recanalization after IVT or thrombectomy and of clinical outcome in patients with acute stroke with large intracranial arterial occlusions. From now on, acute stroke imaging protocols should include one of these noninvasive methods of collateral flow assessment, either based on CT or MR techniques. However, further studies are required to define the most appropriate stroke imaging protocols aimed at improving the selection of patients with acute stroke for aggressive therapies.11

One could expect that discriminating patients with better collaterals would give the opportunity to treat many more patients with acute stroke with large intracranial arterial occlusion by expanding the therapeutic time window of thrombectomy. Unfortunately, this hope is limited by the increasing likelihood of worse collaterals with longer onset-to-door time as recently reported by Liebeskind et al.25 Thus, even considering collaterals and thrombectomy with stent retrievers, time is still brain. Optimizing acute stroke pathways to reduce onset-to-door time remains of utmost importance.26

References

  1. Mount LA, Taveras JM. Arteriographic demonstration of the collateral circulation of the cerebral hemispheres. AMA Arch NeurPsych 1957;78:235–53, 10.1001/archneurpsyc.1957.02330390017003
  2. Saito I, Segawa H, Shiokawa Y, et al. Middle cerebral artery occlusion: correlation of computed tomography and angiography with clinical outcome. Stroke 1987;18:863–68, 10.1161/01.STR.18.5.863
  3. Bozzao L, Fantozzi LM, Bastianello S, et al. Early collateral blood supply and late parenchymal brain damage in patients with middle cerebral artery occlusion. Stroke 1989;20:735–40, 10.1161/01.STR.20.6.735
  4. Kucinski T, Koch C, Eckert B, et al. Collateral circulation is an independent radiological predictor of outcome after thrombolysis in acute ischaemic stroke. Neuroradiology 2003;45:11–18, 10.1007/s00234-002-0881-0
  5. Knauth M, von Kummer R, Jansen O, et al. Potential of CT angiography in acute ischemic stroke. AJNR Am J Neuroradiol 1997;18:1001–10
  6. Tan IYL, Demchuck AM, Hopyan J, et al. CT angiography clot burden score and collateral score: correlation with clinical and radiological outcomes in acute middle cerebral artery infarct. AJNR Am J Neuroradiol 2009;30:525–31, 10.3174/ajnr.A1408
  7. Fanou EM, Knight J, Aviv RI, et al. Effects of collaterals on clinical presentation, baseline imaging, complications and outcome in acute stroke. AJNR Am J Neuroradiol 2015;36:2285–91, 10.3174/ajnr.A4453
  8. Cheng-Ching E, Frontera JA, Man S, et al. Degree of collaterals and not time is the determining factor of core infarct volume within 6 hours of stroke onset. AJNR Am J Neuroradiol 2015;36:1272–76, 10.3174/ajnr.A4274
  9. Nicoli F, Scalzo F, Saver JL, et al, for the UCLA Stroke Investigators. The combination of baseline magnetic resonance perfusion-weighted imaging-derived tissue volume with severely prolonged arterial-tissue delay and diffusion-weighted imaging lesion volume is predictive of MCA-M1 recanalization in patients treated with endovascular thrombectomy. Neuroradiology 2014,56:117–27, 10.1007/s00234-013-1310-2
  10. Telischak NA, Wintermark M. Imaging predictors of procedural and clinical outcome in endovascular acute stroke therapy. Neurovascular Imaging 2015;1:4, 10.1186/s40809-015-0004-z
  11. Warach SJ, Luby M, Albers GW, et al for the Stroke Imaging Research (STIR) and VISTA-Imaging Investigators. Acute stroke imaging research roadmap III imaging selection and outcomes in acute stroke reperfusion clinical trials. Consensus recommendations and further research priorities. Stroke 2016;47:1389–98, 10.1161/STROKEAHA.115.012364
  12. Menon BK, d’Esterre CD, Qazi EM, et al. Multiphase CT angiography: a new tool for the imaging triage of patients with acute ischemic stroke. Radiology 2015;275:510–20, 10.1148/radiol.15142256
  13. Beyer SE, Thierfelder KM, von Baumgarten L, et al. Strategies of collateral blood flow assessment in ischemic stroke: prediction of the follow-up infarct volume in conventional and dynamic CTA. AJNR Am J Neuroradiol 2015;36:488–94, 10.3174/ajnr.A4131
  14. van den Wijngaard IR, Holswilder G, Wermer MJH, et al. Assessment of collateral status by dynamic CT angiography in acute MCA stroke: timing of acquisition and relationship with final infarct volume. AJNR Am J Neuroradiol March 31, 2016 epub ahead of print, 10.3174/ajnr.A4746
  15. Nicoli F, Squarcioni C. Stroke Mimics. In: Bousser MG, Mas JL, eds. Accidents Vasculaires Cérébraux.  Rueil-Malmaison, France:  Doin; 2009
  16. Bang OY, Saver JL, Buck BH, et al. Impact of collateral flow on tissue fate in acute ischaemic stroke. J Neurol Neurosurg Psychiatry 2008;79:625–29, 10.1136/jnnp.2007.132100
  17. Nicoli F, Lafaye de Micheaux P, Girard N. Perfusion-weighted imaging-derived collateral flow index is a predictor of MCA M1 recanalization after IV thrombolysis. AJNR Am J Neuroradiol 2013;34:107–14, 10.3174/ajnr.A3174
  18. Olivot JM, Mlynash M, Inoue M, et al, on behalf of the DEFUSE 2 Investigators. Hypoperfusion intensity ratio predicts infarct progression and functional outcome in the DEFUSE 2 Cohort. Stroke 2014;45:1018–23, 10.1161/STROKEAHA.113.003857
  19. Potreck A, Seker F, Hoffmann A, et al. A novel method to assess pial collateralization from stroke perfusion MRI: subdividing Tmax into anatomical compartments. Eur Radiol published online May 24, 2016, 10.1007/s00330-016-4415-2
  20. Zhang S, Zhang X, Yan S, et al. The velocity of collateral filling predicts recanalization in acute ischemic stroke after intravenous thrombolysis. Sci Rep 2016;6:27880, 10.1038/srep27880
  21. Kim SJ, Son JP, Ryoo S, et al. A novel magnetic resonance imaging approach to collateral flow imaging in ischemic stroke. Ann Neurol 2014;76:356–69, 10.1002/ana.24211
  22. Ringelstein EB, Biniek R, Weiller C, et al. Type and extent of hemispheric brain infarctions and clinical outcome in early and delayed middle cerebral artery recanalization. Neurology 1992;42:289–98, 10.1212/WNL.42.2.289
  23. Ernst M, Forkert ND, Brehmer L, et al. Prediction of infarction and reperfusion in stroke by flow and volume-weighted collateral signal in MR angiography. AJNR Am J Neuroradiol 2015;36:275–82, 10.3174/ajnr.A4145
  24. Hernández-Pérez M, Puig J, Blasco G, et al. Dynamic magnetic resonance angiography provides collateral circulation and hemodynamic information in acute ischemic stroke. Stroke 2016;47:531–34, 10.1161/STROKEAHA.115.010748
  25. Liebeskind DS, Jahan R, Nogueira RG, et al, SWIFT investigators. Early arrival at the emergency department is associated with better collaterals, smaller established infarcts and better clinical outcomes with endovascular stroke therapy: SWIFT study. J Neurointerv Surg 2016;8:553–58, 10.1136/neurintsurg-2015-011758
  26. Soulleihet V, Nicoli F, Trouve J, et al. Optimized acute stroke pathway using Medical Advanced Regulation for Stroke (M.A.R.S.) and repeated public awareness campaigns. Am J Emerg Med 2014;32:225–32, 10.1016/j.ajem.2013.11.018
  27. Recommendations for improving the quality of care through Stroke Centers and systems: an examination of Stroke Center identification options. Multidisciplinary consensus recommendations from the Advisory Working Group on Stroke Center Identification Options of the American Stroke AssociationStroke 2002;33:e1–7, 10.1161/hs0102.101262
  28. Liebeskind DS. Collateral circulation. Stroke 2003;34:2279–84, 10.1161/01.STR.0000086465.41263.06
  29. Jo KD, Saver JL, Starkman S, et al. Predictors of recanalization with mechanical thrombectomy for acute ischemic stroke. Stroke 2008;39:599. Abstract P121
  30. Shuaib A, Butcher K, Mohammad AA, et al. Collateral blood vessels in acute ischaemic stroke: a potential therapeutic target. Lancet Neurol 2011;10:909–21, 10.1016/S1474-4422(11)70195-8

Image from: Ernst M, Forkert ND, Brehmer L, et al. Prediction of Infarction and Reperfusion in Stroke by Flow- and Volume-Weighted Collateral Signal in MR Angiography.