Differences in CT perfusion maps generated by different commercial software: Quantitative analysis by using identical source data of acute stroke patients

Radiology

Volumn 254, Issue 1, 2010, Pages 200-209

  Kudo, Kohsuke ^a   Sasaki, Makoto ^a   Yamada, Kei ^b   Momoshima, Suketaka ^c   Utsunomiya, Hidetsuna ^d   Shirato, Hiroki ^e   Ogasawara, Kuniaki ^a  

^a IWATE MEDICAL UNIVERSITY   (Japan)

^b KYOTO PREFECTURAL UNIVERSITY OF MEDICINE   (Japan)

^c KEIO UNIVERSITY   (Japan)

^d FUKUOKA UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^e HOKKAIDO UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

IOPAMIDOL; CONTRAST MEDIUM;

ACUTE DISEASE; AGED; ALGORITHM; ARTICLE; BRAIN ANGIOGRAPHY; BRAIN BLOOD FLOW; BRAIN BLOOD VOLUME; BRAIN INFARCTION; BRAIN PERFUSION; CEREBROVASCULAR DISEASE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; CONTRAST ENHANCEMENT; DIAGNOSTIC IMAGING; FEMALE; HUMAN; MALE; MIDDLE CEREBRAL ARTERY OCCLUSION; MULTIDETECTOR COMPUTED TOMOGRAPHY; NEURORADIOLOGY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RETROSPECTIVE STUDY; STROKE; ANALYSIS OF VARIANCE; BRAIN CIRCULATION; COMPARATIVE STUDY; IMAGE PROCESSING; IMAGE QUALITY; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

AGED; ALGORITHMS; ANALYSIS OF VARIANCE; CEREBROVASCULAR CIRCULATION; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IOPAMIDOL; LINEAR MODELS; MALE; RADIOGRAPHIC IMAGE ENHANCEMENT; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SOFTWARE; STROKE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 75349087858     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.254082000     Document Type: Article

References (28)

1. Klotz E, Konig 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.
2. Mayer TE, Hamann GF, Baranczyk J, et al. Dynamic CT perfusion imaging of acute stroke. AJNR Am J Neuroradiol 2000;21:1441-1449.
3. Lev MH, Segal AZ, Farkas J, et al. Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intra-arterial thrombolysis: prediction of final infarct volume and clinical outcome. Stroke 2001;32:2021-2028.
4. Jain R, Hoeffner EG, Deveikis JP, Harrigan MR, Thompson BG, Mukherji SK. Carotid perfusion CT with balloon occlusion and acetazolamide challenge test: feasibility. Radiology 2004;231:906-913.
5. Laslo AM, Eastwood JD, Chen FX, Lee TY. Dynamic CT perfusion imaging in subarachnoid hemorrhage-related vasospasm. AJNR Am J Neuroradiol 2006;27:624-631.
6. Cenic A, Nabavi DG, Craen RA, Gelb AW, Lee TYA. CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. AJNR Am J Neuroradiol 2000;21:462-470.
7. 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.
8. Hirata M, Sugawara Y, Fukutomi Y, et al. Measurement of radiation dose in cerebral CT perfusion study. Radiat Med 2005;23:97-103.
9. Wintermark M, Smith WS, Ko NU, Quist M, Schnyder P, Dillon WP. 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.
10. Sanelli PC, Lev MH, Eastwood JD, Gonzalez RG, Lee TY. The effect of varying user-of selected input parameters on quantitative values in CT perfusion maps. Acad Radiol 2004;11:1085-1092.
11. Fiorella D, Heiserman J, Prenger E, Partovi S. Assessment of the reproducibility of postprocessing dynamic CT perfusion data. AJNR Am J Neuroradiol 2004;25:97-107.
12. Sasaki M, Kudo K, Ogasawara K, Fujiwara S. Tracer delay-insensitive algorithm can improve reliability of CT perfusion imaging for cerebrovascular steno-occlusive disease: comparison with quantitative single-photon emission CT. AJNR Am J Neuroradiol 2009;30:188-193.
13. Kudo K, Sasaki M, Ogasawara K, Terae S, Ehara S, Shirato H. Difference in tracer delay-induced effect among deconvolution algorithms in CT perfusion analysis: quantitative evaluation with digital phantoms. Radiology 2009;251:241-249.
14. Murphy BD, Fox AJ, Lee DH, et al. White matter thresholds for ischemic penumbra and infarct core in patients with acute stroke: CT perfusion study. Radiology 2008;247:818-825.
15. Omi Y, Miyazaki O, Yasuda S, Matsumura A. Development of advanced CT-perfusion software. In: Radiological Society of North America scientific assembly and annual meeting program. Oak Brook, Ill: Radiological Society of North America, 2003.
16. Nambu K, Takehara R, Terada T. A method of regional cerebral blood perfusion measurement using dynamic CT with an iodinated contrast medium. Acta Neurol Scand Suppl 1996;93:28-31.
17. Kudo K. Perfusion Mismatch Analyzer, version 3.0.0.0. ASIST-Japan web site. http://asist.umin.jp/index-e.htm Published November 2006. Updated February 2009. Accessed February 20, 2009.
18. ASIST-Japan Web site. http://asist.umin.jp/index-e.htm Published June 2005. Updated March 2009. Accessed June 9, 2009.
19. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I. Mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725.
20. Wu O, Ostergaard L, Weisskoff RM, Benner T, Rosen BR, Sorensen AG. Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix. Magn Reson Med 2003;50:164-174.
21. Calamante F, Gadian DG, Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 2000;44:466-473.
22. Kudo K, Terae S, Katoh C, et al. Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: comparison with H2(15)O positron emission tomography. AJNR Am J Neuroradiol 2003;24:419-426.
23. Rose SE, Janke AL, Griffin M, Finnigan S, Chalk JB. Improved prediction of final infarct volume using bolus delay-corrected perfusion-weighted MRI: implications for the ischemic penumbra. Stroke 2004;35:2466-2471.
24. Silvennoinen HM, Hamberg LM, Lindsberg PJ, Valanne L, Hunter GJ. CT perfusion identifies increased salvage of tissue in patients receiving intravenous recombinant tissue plasminogen activator within 3 hours of stroke onset. AJNR Am J Neuroradiol 2008;29:1118-1123.
25. Kucinski T, Naumann D, Knab R, et al. Tissue at risk is overestimated in perfusion-weighted imaging: MR imaging in acute stroke patients without vessel recanalization. AJNR Am J Neuroradiol 2005;26:815-819.
26. Matsushima S, Kubota T, Yamada K, et al. Effect of vascular stenosis on perfusion-weighted imaging; differences between calculation algorithms. J Magn Reson Imaging 2008;27:1103-1108.
27. Firlik AD, Yonas H, Kaufmann AM, et al. Relationship between cerebral blood flow and the development of swelling and life-threatening herniation in acute ischemic stroke. J Neurosurg 1998;89:243-249.
28. Wintermark M, Albers GW, Alexandrov AV, et al. Acute stroke imaging research roadmap. Stroke 2008;39:1621-1628.