Academic Radiology
Volume 17, Issue 1 , Pages 61-66 , January 2010

Increasing Sampling Interval in Cerebral Perfusion CT: Limitation for the Maximum Slope Model

  • Stephan P. Kloska, MD

      Affiliations

    • Department of Clinical Radiology, University of Münster, Albert-Schweitzer-Straße 33, 48149 Münster, Germany
    • Corresponding Author InformationAddress correspondence to: S.P.K.
  • ,
  • Tobias Fischer, MD

      Affiliations

    • Department of Clinical Radiology, University of Münster, Albert-Schweitzer-Straße 33, 48149 Münster, Germany
  • ,
  • Cristina Sauerland, MSc

      Affiliations

    • Department of Medical Informatics and Biomathematics, University of Münster, Albert-Schweitzer-Straße 33, 48149 Münster, Germany
  • ,
  • Boris Buerke, MD

      Affiliations

    • Department of Clinical Radiology, University of Münster, Albert-Schweitzer-Straße 33, 48149 Münster, Germany
  • ,
  • Rainer Dziewas, MD

      Affiliations

    • Department of Neurology, University of Münster, Albert-Schweitzer-Straße 33, 48149 Münster, Germany
  • ,
  • Roman Fischbach, MD

      Affiliations

    • Department of Clinical Radiology, University of Münster, Albert-Schweitzer-Straße 33, 48149 Münster, Germany
    • Department of Radiology, Neuroradiology, and Nuclear Medicine, Asklepios Clinic Altona, Hamburg, Germany
  • ,
  • Walter Heindel, MD

      Affiliations

    • Department of Clinical Radiology, University of Münster, Albert-Schweitzer-Straße 33, 48149 Münster, Germany

Received 14 June 2009 ,Accepted 13 July 2009.

References 

  1. Srinivasan A, Goyal M, Al Azri F, et al. State-of-the-art imaging of acute stroke. Radiographics. 2006;26:S75–S95
  2. Lovblad KO, Baird AE. Actual diagnostic approach to the acute stroke patient. Eur Radiol. 2006;16:1253–1269
  3. Scharf J, Brockmann MA, Daffertshofer M, et al. Improvement of sensitivity and interrater reliability to detect acute stroke by dynamic perfusion computed tomography and computed tomography angiography. J Comput Assist Tomogr. 2006;30:105–110
  4. Kloska SP, Nabavi DG, Gaus C, et al. Acute stroke assessment with CT: do we need multimodal evaluation?. Radiology. 2004;233:79–86
  5. Wintermark M, Flanders AE, Velthuis B, et al. Perfusion-CT assessment of infarct core and penumbra: receiver operating characteristic curve analysis in 130 patients suspected of acute hemispheric stroke. Stroke. 2006;37:979–985
  6. Murphy BD, Fox AJ, Lee DH, et al. Identification of penumbra and infarct in acute ischemic stroke using computed tomography perfusion-derived blood flow and blood volume measurements. Stroke. 2006;37:1771–1777
  7. Sims J, Schwamm LH. The evolving role of acute stroke imaging in intravenous thrombolytic therapy: patient selection and outcomes assessment. Neuroimaging Clin N Am. 2005;15:421–440
  8. Schellinger PD, Fiebach JB, Hacke W. Imaging-based decision making in thrombolytic therapy for ischemic stroke: present status. Stroke. 2003;34:575–583
  9. Brenner DJ, Hall EJ. Computed tomography—an increasing source of radiation exposure. N Engl J Med. 2007;357:2277–2284
  10. Wintermark M, Maeder P, Verdun FR, et al. Using 80 kVp versus 120 kVp in perfusion CT measurement of regional cerebral blood flow. AJNR Am J Neuroradiol. 2000;21:1881–1884
  11. Cohnen M, Wittsack HJ, Assadi S, et al. Radiation exposure of patients in comprehensive computed tomography of the head in acute stroke. AJNR Am J Neuroradiol. 2006;27:1741–1745
  12. Imanishi Y, Fukui A, Niimi H, et al. Radiation-induced temporary hair loss as a radiation damage only occurring in patients who had the combination of MDCT and DSA. Eur Radiol. 2005;15:41–46
  13. Wintermark M, Smith WS, Ko NU, et al. Dynamic perfusion CT: optimizing the temporal resolution and contrast volume for calculation of perfusion CT parameters in stroke patients. AJNR Am J Neuroradiol. 2004;25:720–729
  14. Wiesmann M, Berg S, Bohner G, et al. Dose reduction in dynamic perfusion CT of the brain: effects of the scan frequency on measurements of cerebral blood flow, cerebral blood volume, and mean transit time. Eur Radiol. 2008;18:2967–2974
  15. Kämena A, Streitparth F, Grieser C, et al. Dynamic perfusion CT: optimizing the temporal resolution for the calculation of perfusion CT parameters in stroke patients. Eur J Radiol. 2007;64:111–118
  16. Wintermark M, Maeder P, Thiran JP, et al. Quantitative assessment of regional cerebral blood flows by perfusion CT studies at low injection rates: a critical review of the underlying theoretical models. Eur Radiol. 2001;11:1220–1230
  17. Klotz E, König M. Perfusion measurements of the brain: using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke. Eur J Radiol. 1999;30:170–184
  18. Wintermark M, Sesay M, Barbier E, et al. Comparative overview of brain perfusion imaging techniques. Stroke. 2005;36:83–99
  19. König M, Klotz E, Luka B, et al. Perfusion CT of the brain: diagnostic approach for early detection of ischemic stroke. Radiology. 1998;209:85–93
  20. Schaefer PW, Roccatagliata L, Ledezma C, et al. First-pass quantitative CT perfusion identifies thresholds for salvageable penumbra in acute stroke patients treated with intra-arterial therapy. AJNR Am J Neuroradiol. 2006;27:20–25
  21. Kloska SP, Fischer T, Nabavi DG, et al. Comparison of different iodine concentration contrast media in perfusion computed tomography of the brain: is high iodine concentration useful?. Invest Radiol. 2007;42:564–568

PII: S1076-6332(09)00407-3

doi: 10.1016/j.acra.2009.07.009

Academic Radiology
Volume 17, Issue 1 , Pages 61-66 , January 2010