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Perfusion-Weighted Imaging–Derived Collateral Flow Index is a Predictor of MCA M1 Recanalization after IV Thrombolysis - AJNR News Digest
September-October 2016
Brain

Perfusion-Weighted Imaging–Derived Collateral Flow Index is a Predictor of MCA M1 Recanalization after IV Thrombolysis

Francois Nicoli

Prof. François Nicoli

“There are three principal cranial collateral pathways…. (including) pial anastomoses between and among the three major cerebral arteries. These collateral pathways exist awaiting demand, and enlarge as demand for flow rate and volume increases. It is our impression that (stroke) prognosis is related to the richness of demonstrable pathways.”

These sentences are quite topical, but were formulated in 1966 by Love et al,1 in their paper on cranial collateral pathways and stroke, based on conventional angiography and published in the American Journal or Roentgenology. Fifty years later, thanks to the development of neuroimaging techniques and acute stroke treatments, many studies have provided evidence supporting the impression of Love et al.

As a young physician early involved in the field of neurology and also working in the neuroradiology department of Professor Georges Salamon at La Timone University Hospital in Marseille in 1984, my awareness was raised about the importance of collateral circulation in patients with ischemic stroke. Choosing later to focus my clinical work on cerebrovascular diseases, I was particularly interested by papers about collateral circulation and notably one formulating an exciting hypothesis about the possible synergy of collateral flow and intravenous thrombolysis to recanalize MCA M1 occlusion. Indeed, in 2005, Liebeskind2 suggested that “the better the collateral flow is, the higher the recanalization rate after intravenous thrombolysis (IVT) should be …. thanks to a retrograde delivery of rtPA to the distal end of the clot.” Actually, as early as 1992, Ringelstein et al3 also proposed the same assumption about the possible impact of collateral flow on recanalization. In addition, in 1993, von Kummer and Forsting4 provided preliminary data in agreement with the hypothesis of Ringelstein. Indeed, in a small cohort of 29 patients with MCA M1 occlusion treated with intravenous or intra-arterial rtPA within 6 hours after symptom onset and invasively explored using conventional angiography before and after thrombolysis, a single univariate analysis suggested that partial or complete MCA M1 recanalization was significantly more frequent after thrombolysis in patients with good collateralization on baseline angiography.4

The Quest for a Noninvasive Assessment of the Vigor of the Collateral Flow

The aim of my study was specifically to noninvasively test the hypothesis formulated by Ringelstein and Liebeskind.2,3,5

To achieve this goal, a retrospective analysis was performed over 64 patients with an acute MCA M1 occlusion, treated at the comprehensive stroke center of La Timone University Hospital (Marseille, France) and recorded into a prospective clinical registry for IVT. Thanks to repeated regional public awareness campaigns on stroke warning signs and an optimized acute stroke pathway using medical advanced regulation for stroke, these patients were consecutively included in the prospective registry within a short period of time (from January 2009 to December 2010), which guaranteed very homogeneous medical and radiologic management.6 We defined an index derived from the baseline MR perfusion imaging in order to noninvasively and indirectly quantify the collateral circulation deficit. It was decided to analyze MCA M1 recanalization 24 hours after IVT because a full MCA recanalization within 24 hours post-IVT is a strong predictor of good stroke outcome at 3 months.7 Another reason is that, in our stroke imaging protocol, all patients systematically had a multimodal MRI at the hyperacute phase of stroke, and a CT angiography 24 hours after IVT.5

Briefly, using a new 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.5 A similar conclusion was later made by other authors using different methods.8–10

Thus, a better collateral flow is associated with a higher recanalization rate not only after endovascular therapy11 but also after systemic thrombolysis. Indeed, the positive impact of the vigor of the collateral flow on full MCA recanalization is obvious in patients treated by an endovascular route using the Merci retriever (Concentric Medical, Mountain View, California).11,12 However, it becomes negligible in patients treated with a stent retriever thanks to a much higher efficacy on recanalization of stent retrievers compared with the Merci retriever.13 Nevertheless, whatever the type of retriever considered, the vigor of the collateral flow is an independent predictor of clinical outcome after endovascular thrombectomy12,13 and remains a major predictor of ischemic stroke outcome.

Our study also demonstrated that the probability of full MCA M1 recanalization at 24 hours significantly decreases in patients treated with IVT beyond 3 hours after stroke onset. More recently, Muchada et al14 found a similar time dependency of thrombolysis-induced recanalization in patients with proximal MCA occlusion. Hopefully, the recent great success of IVT coupled with the use of stent retrievers counterbalances this unexpected limitation of IVT performed alone.13

Noninvasive Quantification of the Arterial-to-Tissue Delay and Mapping of the Collateral Flow Deficit

The PWI-derived collateral flow index herein described and named normalized collateral circulation decifit index (nCCD) was useful to noninvasively assess the vigor of the collateral blood flow. However, it cannot be automatically computed and does not provide a map of the collateral flow deficit. Thus, the next step of this research was to test, on the same clinical and radiologic database (PWI), a new Bayesian algorithm able to accurately quantify the arterial-to-tissue delay (ATD), physiologically correlated to the vigor of the collateral flow in case of intracranial and/or cervical arterial occlusion.12,15

A preliminary analysis demonstrated that the volume of tissue with an ATD higher than 6 seconds (termed VolATD6) had the best correlation with the nCCD index (linear regression, r2 = 0.72, P <.0001).15 In addition, nCCD and VolATD6 are significantly correlated to the relative speed of the retrograde perfusion (r2 = 0.45, P = .0001; r2 = 0.56, P <.0001, respectively).15,16 As expected, like nCCD, VolATD6 is also predictive of full MCA M1 recanalization after IVT.16,17 Using a similar method based on an ATD measurement, Zhang et al18 very recently confirmed these results. Furthermore, this strategy allowed a highly reproducible automatic measurement and mapping of tissue with increased ATD, which is more suitable for emergency radiologic management of patients with hyperacute stroke.15

Bayesian MR PWI-derived ATD maps of four patients with an acute MCA-M1 occlusion

Two patients had a proximal MCA M1 occlusion, one a tandem occlusion and the other a terminal ICA-T occlusion. For each patient, nCCD and VolATD6 values were calculated. nCCD is a cSVD index based on Tmax maps at different time points and calculated using a block-circulant Singular Value Decomposition algorithm (cSVD). VolATD6 is a Bayesian index based on arterial-to-tissue delay maps calculated using a Bayesian algorithm.

 

Correlations with the Angiographic Collateral Grading

Thanks to a fruitful scientific collaboration with the UCLA Stroke Investigators, it was possible to demonstrate, in a cohort of patients with acute MCA M1 occlusion treated by an endovascular route (mostly with a Merci retriever) and explored using MR PWI before angiography, that VolATD6 is significantly correlated with the angiographic collateral grading.12,15 This angiographic classification of the collateral flow was evaluated with the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) Collateral Flow Grading System on baseline angiography. Using this angiographic scale, patients are assigned to Grade 0 (no collaterals visible to the ischemic site), 1 (slow collaterals to the periphery of the ischemic site with persistence of some of the defect), 2 (rapid collaterals to the periphery of ischemic site with persistence of some of the defect and to only a portion of the ischemic territory), 3 (collaterals with slow but complete angiographic blood flow of the ischemic bed by the late venous phase), and 4 (complete and rapid collateral blood flow to the vascular bed in the entire ischemic territory by retrograde perfusion). A receiver operating characteristic analysis determined that the optimal threshold of prolonged ATD tissue volume providing the best discrimination between angiographic grades 0–2 versus 3–4 was: VolATD6 threshold=27 mL (AUC = 0.84; sensitivity = 100 %; specificity = 67%; Youden index = 0.67; P <.0001).12 Interestingly, in this cohort, a pretreatment DWI lesion volume (VolDWI) value of 15 ml also provided a clear-cut discrimination between angiographic grades 0–2 versus 3–4 (sensitivity = 80 %; specificity = 85.7 %; Youden index = 0.66;  P <.0001)12

Predictive Value of Collateral Flow Indices on MCA M1 Recanalization and Clinical Outcome after Intravenous Thrombolysis

This final step was to evaluate, in the initial IVT patient cohort, the predictive value of these new parameters assessing the vigor of the collateral flow, on full MCA M1 recanalization 24 hours after IVT.17 In this cohort, a VolATD6 value lower than 20 mL, corresponding to an excellent collateral flow,12 predicts full MCA M1 recanalization 24 hours after IVT in 90% of cases.17 Interestingly, at the time of the MRI examination, the VolATD6 measurement provides an instantaneous estimation of the degree of collateral flow while the VolDWI measurement corresponds to a tissue marker for the efficiency of collateral perfusion to preserve tissue from ischemia during the time to MRI.

Thus, a combined criterion, including VolATD6 and DWI lesion volume measurements, increases the MRI information content on the degree of collateral flow and facilitates discrimination of recanalizers and nonrecanalizers.12 In this IVT cohort, a negative [VolATD6 >27 and VolDWI >15] combined criterion, predictive of an excellent collateral flow, was associated with 81.4% of full MCA M1 recanalization at 24 hours (Arterial Occlusive Lesion 3) and 74.4% of good outcome at 3 months (mRS 0–2) after IVT performed within 4.5 hours and was also an independent predictor of recanalization and clinical outcome after IVT (Tables 1 and 2).12,17

Performances of collateral flow indices for prediction of full MCA M1 recanalization (Arterial Occlusive Lesion grade 3) and good clinical outcome in patients treated with IVT

Performances of collateral flow indices for prediction of full MCA M1 recanalization (Arterial Occlusive Lesion grade 3) and good clinical outcome in patients treated with IVT.

Independent predictors of full MCA M1 recanalization (Arterial Occlusive Lesion grade 3) and good clinical outcome in the whole IVT cohort. The logistic regression analysis considered the following variables: age > 70 years, gender, diabetes, antiplatelet therapy, onset-to-treatment (OTT), tandem occlusion, combined index VolATD6 >27 and VolDWI >15. Results were validated by a goodness-of-fit test

Independent predictors of full MCA M1 recanalization (Arterial Occlusive Lesion grade 3) and good clinical outcome in the whole IVT cohort. The logistic regression analysis considered the following variables: age > 70 years, gender, diabetes, antiplatelet therapy, onset-to-treatment time (OTT), tandem occlusion, combined index VolATD6 >27 and VolDWI >15. Results were validated by a goodness-of-fit test.

In conclusion, several MR PWI-derived collateral flow indices are independent predictors of full MCA M1 recanalization and clinical outcome after IVT. Results of this noninvasive assessment of the collateral flow are immediately available before intravenous rtPA administration and help to predict the recanalization and outcome after IVT alone. However, it would not be so easy to extrapolate results of a noninvasive assessment of the collateral flow performed before thrombectomy. Indeed, one must keep in mind that the intensity of the collateral flow depends on systolic blood pressure level.19 Consequently, if a severe drop of blood pressure occurs during the induction of general anesthesia performed before an endovascular procedure, a simultaneous collateral failure induced by this type of anesthesia could modify conclusions of the noninvasive assessment of the collateral flow and bias the initial prediction about results of the endovascular thrombectomy. The use of conscious sedation instead of general anesthesia, as in the MR CLEAN trial,13 probably decreases this risk. Thus, in endovascular procedures, ASITN/SIR angiographic collateral grading, performed just before the thrombectomy procedure, still remains the reference standard though it is considered as time consuming by some authors.

Since 2012, several other interesting methods to noninvasively assess collateral flow have emerged, such as dynamic CTA, dynamic MRA, subtracted dynamic MR perfusion source images, or pial Tmax-based collateral grading.20–23 This illustrates the dynamism of stroke neuroradiology and highlights the need for a constant adjustment of acute stroke imaging protocols, based either on MR or CT techniques, for an optimal evidence-based management of patients with acute stroke.

References

  1. Love L, Hill BJ, Larson SJ, et al. Cranial collateral pathways in stroke syndrome. AJR Am J Roentgenol 1966;98:637–46
  2. Liebeskind DS. Collaterals in acute stroke: beyond the clot. Neuroimag Clin N Am 2005;15:553–73, 10.1016/j.nic.2005.08.012
  3. 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
  4. Von Kummer R, Forsting M. Effects of recanalization and collateral blood supply on infarct extent and brain edema after middle cerebral artery occlusion. Cerebrovasc Dis 1993;3:252–55, 10.1159/000108711
  5. 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
  6. 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
  7. Zangerle A, Kiechl S, Spiegel M, et al. Recanalization after thrombolysis in stroke patients: predictors and prognostic implications. Neurology 2007;68:39–44, 10.1212/01.wnl.0000250341.38014.d2
  8. Callejaa AI, Cortijo E, García-Bermejoa P, et al. Collateral circulation on perfusion-computed tomography-source images predicts the response to stroke intravenous thrombolysis. Eur J Neurol 2013;20:795–802, 10.1111/ene.12063
  9. Zhu G, Michel P, Jovin T, et al. Prediction of recanalization in acute stroke patients receiving intravenous and endovascular revascularization therapy. Int J Stroke 2015;10:28–36, 10.1111/ijs.12312
  10. Sohn SW, Park HS, Cha JK, et al. Relative CBV ratio on perfusion-weighted MRI indicates the probability of early recanalization after IV t-PA administration for acute ischemic stroke. J NeuroIntervent Surg 2016;8:235–39, 10.1136/neurintsurg-2014-011501
  11. Nogueira RG, Liebeskind DS, Sung G, et al. Predictors of good clinical outcomes, mortality and successful revascularization in patients with acute ischemic stroke undergoing thrombectomy: pooled analysis of the mechanical embolus removal in cerebral ischemia (MERCI) and multi MERCI trials. Stroke 2009;40:3777–83, 10.1161/STROKEAHA.109.561431
  12. 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
  13. Berkhemer OA, Jansen IGH, Beumer D, et al, on behalf of the MR CLEAN Investigators. Collateral status on baseline computed tomographic angiography and intra-arterial treatment effect in patients with proximal anterior circulation stroke. Stroke 2016;47:768–76, 10.1161/STROKEAHA.115.011788
  14. Muchada M, Rodriguez-Luna D, Pagola J, et al. Impact of time to treatment on tissue-type plasminogen activator-induced recanalization in acute ischemic stroke. Stroke 2014;45:2734–38, 
  15. Nicoli F, Pautot F, Scalzo F, et al, for the UCLA Stroke Investigators. High-resolution mapping of the collateral circulation deficit in patients with acute MCA-M1 occlusion by Bayesian processing of MR perfusion-weighted images. In: European Stroke Conference Abstract E-book, May 28–31, 2013; London, UK; Cerebrovasc Dis 2013;35(suppl 3):571
  16. Nicoli F, Boutelier T, Pautot F, et al. Magnetic resonance PWI-derived collateral flow index is a predictor of MCA-M1 recanalization after IV thrombolysis: new insight using the Bayesian method. ISMRM 2013, 21st Annual Meeting Proceedings.
  17. Nicoli F, Scalzo F, Saver JL, et al for the UCLA Stroke Investigators. The assessment of MR PWI-derived tissue volume with severely prolonged arterial-tissue delay enables to predict MCA-M1 recanalization after intravenous thrombolysis or endovascular thrombectomy. In: European Stroke Conference Abstract E-book, May 6–9, 2014; Nice, France; Cerebrovasc Dis 2014;37(suppl 1):236
  18. 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
  19. Rusanen H, Saarinen JT, Sillanpää N. The association of blood pressure and collateral circulation in hyperacute ischemic stroke patients treated with intravenous thrombolysis. Cerebrovasc Dis 2015; 39:130–37, 10.1159/000371339
  20. 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 21, 2016 epub ahead of print, 10.3174/ajnr.A4746
  21. 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
  22. 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
  23. 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

 

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