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Quantitative Evaluation of C-Arm CT Cerebral Blood Volume in a Canine Model of Ischemic Stroke - AJNR News Digest
November 2013
Interventional

Quantitative Evaluation of C-Arm CT Cerebral Blood Volume in a Canine Model of Ischemic Stroke

Matthew J. Gounis

Matthew J. Gounis

Ajay Wakhloo

Ajay Wakhloo

Endovascular treatment of acute ischemic stroke, despite exciting technology developments over the past two decades, suffered a major setback this year. Three randomized trials showed no clinical benefit for intra-arterial treatments as compared with standard medical therapy.1-3 As with all trials, each has certain limitations—well beyond the scope of this commentary. Amid the swirling controversy to explain these outcomes, one general consensus emerges around patient selection.4 Despite advanced imaging techniques that may be able to identify the best candidates for intra-arterial reperfusion therapy, the unfortunate reality is that, on average, 875 to 1446 minutes are consumed between the time from brain imaging to groin-puncture prior to a successful recanalization. The group at the University of Wisconsin recognized the urgent need to develop the ability to image brain function in the angiosuite, representing a fundamental paradigm shift. They first developed an approach using C-arm conebeam CT (CBCT) to acquire CBV maps7,8 that showed good agreement with multidetector perfusion CT. This novel work inspired us, and coupled with the capability of our research facility with an integrated MR and angiography unit, we sought to quantitatively compare C-arm CBCT-derived CBV measurements with MR apparent diffusion coefficient maps and histology. We reported in this paper that despite qualitative agreement of the CBV maps with other measures of brain infarction, quantitative comparisons require further improvements in the detector physics and general approach for reliable clinical application.

Not deterred, many researchers have tried to solve the ultimate challenge in C-arm-based CBCT perfusion imaging: the measurement of cerebral blood flow.9-14 These developments in research labs around the world may ultimately create a future where patients with stroke will have diagnostic penumbral imaging and potential intra-arterial treatment integrated in the same suite, creating a truly comprehensive stroke center. Much work remains for robust development and characterization of these techniques, but there is a vision to make stroke a treatable disease rather than a rehabilitation disease.

References

  1. Broderick JP, Palesch YY, Demchuk AM, et al. Endovascular therapy after intravenous t-pa versus t-pa alone for stroke. N Engl J Med 2013;368:893–903. doi: 10.1056/NEJMoa1214300
  2. Ciccone A, Valvassori L, Nichelatti M, et al. Endovascular treatment for acute ischemic stroke. N Engl J Med 2013;368:904–13. doi: 10.1056/NEJMoa1213701
  3. Kidwell CS, Jahan R, Gornbein J, et al. A trial of imaging selection and endovascular treatment for ischemic stroke. N Engl J Med 2013;368:914–23. doi: 10.1056/NEJMoa1212793
  4. Fisher M, Albers GW. Advanced imaging to extend the therapeutic time window of acute ischemic stroke. Ann Neurol 2013;73:4–9. doi: 10.1002/ana.23744
  5. Gupta R, Horev A, Nguyen T, et al. Higher volume endovascular stroke centers have faster times to treatment, higher reperfusion rates and higher rates of good clinical outcomes. J Neurointerv Surg 2013;5:294–97. doi: 10.1136/neurintsurg-2011-010245
  6. The Penumbra Pivotal Stroke Trial Investigators. The Penumbra Pivotal Stroke Trial: safety and effectiveness of a new generation of mechanical devices for clot removal in intracranial large vessel occlusive disease. Stroke 2009;40:2761–68. doi: 10.1161/​STROKEAHA.108.544957
  7. Ahmed AS, Zellerhoff M, Strother CM, et al. C-arm CT measurement of cerebral blood volume: an experimental study in canines. AJNR Am J Neuroradiol 2009;30:917–22. doi: 10.3174/ajnr.A1513
  8. Bley T, Strother CM, Pulfer KA, et al. C-arm CT measurement of cerebral blood volume in ischemic stroke: an experimental study in canines. AJNR Am J Neuroradiol 2010;31:536–40. doi: 10.3174/ajnr.A1851
  9. Cruise GM, Rivera EA, Jones RM, et al. A comparison of experimental aneurysm occlusion determination by angiography, scanning electron microscopy, MICROFIL® perfusion, and histology. J Biomed Mater Res Part B: Appl Biomater 2009;91B:669–78. doi: 10.1002/jbm.b.31443
  10. Ganguly A, Fieselmann A, Boese J, et al. In vitro evaluation of the imaging accuracy of C-arm conebeam CT in cerebral perfusion imaging. Med Phys 2012;39:6652–59. doi: 10.1118/1.4757910
  11. Ganguly A, Fieselmann A, Marks M, et al. Cerebral CT perfusion using an interventional C-arm imaging system: cerebral blood flow measurements. AJNR Am J Neuroradiol 2011;32:1525–31. doi: 10.3174/ajnr.A2518
  12. Giordano M, Vonken EP, Bertram M, et al. Spatially regularized region-based perfusion estimation in peripherals using angiographic C-arm systems. Phys Med Biol 2012;57:7239–59. doi: 10.1088/0031-9155/57/22/7239
  13. Struffert T, Deuerling-Zheng Y, Engelhorn T, et al. Monitoring of balloon test occlusion of the internal carotid artery by parametric color coding and perfusion imaging within the angio suite: first results. Clin Neuroradiol March 2013 Mar 23 [Epub ahead of print]. doi: 10.1007/s00062-013-0208-z
  14. Wagner M, Deuerling-Zheng Y, Möhlenbruch M, et al. A model based algorithm for perfusion estimation in interventional C-arm CT systems. Med Phys 2013;40:031916. doi: 10.1118/1.4790467

 

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