• J Comput Assist Tomogr · Sep 2014

    Comparative Study

    Voxel-based correlation between whole-brain CT perfusion with 320-row area detector ct and iodine 123 iodoamphetamine brain perfusion spect in patients with cerebrovascular disease.

    • Kazuhiro Murayama, Hiroshi Toyama, Motoharu Hayakawa, Shuei Imizu, Tsutomu Soma, Akira Taniguchi, and Kazuhiro Katada.
    • From the *Department of Radiology and †Neurosurgery, Fujita Health University, Toyoake, Japan; ‡Division of Nuclear Medicine, Graduate School of Medicine, University of Tokyo, Japan; Software Development Group, Product Management and Marketing Department., Sales and Marketing Division, FUJIFILM RI Pharma Co., Ltd., Japan; §Clinical Application Research Center, Toshiba Medical Systems Corporation, Otawara, Japan; and ∥Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University, Toyoake, Japan.
    • J Comput Assist Tomogr. 2014 Sep 1; 38 (5): 639-46.

    ObjectiveWe compared cerebral blood flow (CBF) measured using computed tomographic (CT) perfusion (CTP) and N-isopropyl-p-[(123) I]-iodoamphetamine cerebral perfusion single-photon emission computed tomography (SPECT).MethodsWe used a 320-row area detector CT and N-isopropyl-p-[(123) I]-iodoamphetamine cerebral perfusion SPECT under similar conditions in patients with chronic cerebrovascular disease. Images were automatically aligned 3-dimensionally for voxel-by-voxel comparisons.ResultsLinear positive correlations were observed between CTP-CBF including high-blood-flow areas and SPECT-CBF over the whole brain (r = 0.001-0.6, P < 0.01), superior cerebral level (r = 0.45-0.93, P < 0.01), basal ganglia level (r = 0.44-0.77, P < 0.01), and skull base (r = 0.02-0.66, P < 0.01). Correlations between CTP-CBF excluding high-blood-flow areas were significantly higher (P < 0.0001).ConclusionsComputed tomographic perfusion overestimated CBF compared with SPECT and showed poor correlation at the skull base. Computed tomographic perfusion CTP excluding high-blood-flow areas improved the correlation over the whole brain in patients with chronic cerebrovascular disease.

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