4.3 Article

Search for a Map and Threshold in Perfusion MRI to Accurately Predict Tissue Fate: A Protocol for Assessing Lesion Growth in Patients with Persistent Vessel Occlusion

Journal

CEREBROVASCULAR DISEASES
Volume 32, Issue 2, Pages 186-193

Publisher

KARGER
DOI: 10.1159/000328663

Keywords

Stroke; MRI; Perfusion

Funding

  1. Federal Ministry of Education and Research via the grant Center for Stroke Research Berlin [01 EO 0801]
  2. Siemens
  3. Philips
  4. Perceptive
  5. Synarc
  6. BioImaging Technologies
  7. Novartis
  8. BMS
  9. Pfizer
  10. Wyeth
  11. Boehringer Ingelheim
  12. Lundbeck
  13. Sygnis
  14. Sanofi
  15. Genzyme
  16. UCB

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Background: The MRI-based mismatch concept has been used to estimate the risk of infarction in ischemic stroke. Based on multiple studies on magnetic resonance perfusion imaging, it seems unlikely that any perfusion parameter threshold will provide a reliable prediction of radiological or clinical outcome for all patients. The goal of our study was to find a minimally biased yet maximally useful perfusion post-processing protocol which would offer the treating physician a useful estimate of tissue fate. Methods: One hundred and forty-five acute ischemic stroke patients, admitted within 24 h after stroke to the Charite - University Medicine Hospital in Berlin between March 2008 and November 2009, were included in this study. Using three different software packages (Perfscape/Neuroscape, PMA and Stroketool), maps of mean transit time, cerebral blood flow (CBF) and T(max) were created. Three different thresholds were applied on each parameter map and subsequent volumes of hypoperfused tissue were calculated. Results: Overall, the maps and thresholds giving the least amount of overestimation of the final infarct volume were T(max) 8 s in Perfscape/Neuroscape, CBF 20 ml/100 g/min in PMA and CBF 15% (of the highest value on the scale for a given patient) in Stroketool. In patients with persistent vessel occlusion, a CBF map with a restrictive threshold showed volumes of tissue at definite risk of infarction in up to 100% of patients. The additional use of a CBF map with a high threshold enabled identification of patients without penumbras. Conclusions: No combination of software, map and threshold was able to give a reliable estimate of tissue fate for either all patients or any subgroup of patients. However, in patients with vessel occlusion, combination of a CBF map with a low and a high threshold can enable calculation of the minimum volume of brain tissue that will inevitably be lost if the occlusion persists. Copyright (C) 2011 S. Karger AG, Basel

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