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Brain perfusion SPECT study with99mTc-bicisate: Clinical pitfalls and improved diagnostic accuracy with a combination of linearization and scatter-attenuation correction

  • Hirotsugu Kado
  • Hidehiro Iida
  • Hirohiko Kimura
  • Toshihide Ogawa
  • Yuichiro Narita
  • Jun Hatazawa
  • Tatsuro Tsuchida
  • Yoshiharu Yonekura
  • Harumi Itoh
Original Articles

Abstract

To evaluate the usefulness of a combination of linearization and seatter-attenuation correction on99mTc-bicisate (ECD)-single photon emission tomographic (SPECT) images, both cerebral blood flow (CBF)-positron emission tomographic (PET) images and ECD-SPECT images from fifteen patients with chronic cerebral infarction were acquired. We measured radioactivity counts in regions of interest (ROIs) on all sets of both images and obtained a 2D scattered graph between ECD-SPECT and CBF-PET data. To evaluate diagnostic accuracy, the sensitivity, specificity and accuracy of ECD-SPECT images were calculated by means of discriminant analysis. The same analysis was also performed on the ECD-SPECT images corrected by a combination of linearization and scatter-attenuation correction. An overall nonlinear relationship was observed between ECD-SPECT and CBF-PET. The sensitivity, specificity, and accuracy of ECD-SPECT images were 69.6%, 91.4% and 73.0%, and those of ECD images corrected by the combination of linearization and scatter-attenuation correction were 79.5%, 95.7% and 82.0% respectively. The clinically diagnostic accuracy of ECD-SPECT images corrected by the combined method apparently increased. So that the linearization with the scatter-attenuation method is useful for improving the diagnostic accuracy of ECD-SPECT images.

Key words

99mTc-bicisate (ECD)-SPECT CBF-PET linearization scatter-attenuation correction 

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Copyright information

© Springer 2001

Authors and Affiliations

  • Hirotsugu Kado
    • 1
  • Hidehiro Iida
    • 2
  • Hirohiko Kimura
    • 1
  • Toshihide Ogawa
    • 2
  • Yuichiro Narita
    • 2
  • Jun Hatazawa
    • 2
  • Tatsuro Tsuchida
    • 1
  • Yoshiharu Yonekura
    • 3
  • Harumi Itoh
    • 1
  1. 1.Department of RadiologyFukui Medical UniversityFukuiJapan
  2. 2.Department of Radiology and Nuclear MedicineAkita Research Institute of Brain and Blood VesselsAkitaJapan
  3. 3.Biomedical Imaging Research CenterFukui Medical UniversityFukuiJapan

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