Diagnostic performance of Tc-99m HMPAO SPECT for early and late onset Alzheimer's disease: A clinical evaluation of linearization correction

Tatsuya Mitsumoto, Nobuyoshi Ohya, Atsushi Ichimiya, Yuichi Sakaguchi, Aya Kiyota, Koichiro Abe, Junji Morishita, Masayuki Sasaki

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Abstract

Objective: This study examined the influence of linearization correction (LC) on brain perfusion single-photon emission computed tomography (SPECT) for the diagnosis of Alzheimer's disease (AD). Methods: The early onset group (<65 years old) consisted of 10 patients with AD, and the late onset group (≥65 years old) of 13 patients with AD. Age-matched controls included seven younger and seven older normal volunteers. Tc-99m hexamethyl propyleneamine oxine (HMPAO) SPECT images were reconstructed with or without LC [LC (+) or LC (-)] and a statistical analysis was performed using a three-dimensional stereotactic surface projection (3D-SSP). In addition, a fully automatic diagnostic system was developed, which calculated the proportion of the number of abnormal pixels in the superior and inferior parietal lobule, as well as in the precuneus and posterior cingulate gyrus. Results: The areas under the receiver-operating characteristic curve (AUCs) of the early onset group for conventional axial SPECT images, SPECT + 3D-SSP images and the fully automatic diagnostic system were 0.71, 0.88, and 0.92 in LC (-) and 0.67, 0.85, and 0.91 in LC (+), respectively. The AUCs of the late onset group were 0.50, 0.61, and 0.79 in LC (-) and 0.49, 0.67, and 0.85 in LC (+), respectively. Conclusion: LC on Tc-99m HMPAO SPECT did not significantly influence the diagnostic performance for differentiating between AD and normal controls in either early or late onset AD. Further examination with individuals suffering from very mild dementia is, therefore, expected to elucidate the effect of LC on minimally hypoperfused areas.

Original languageEnglish
Pages (from-to)487-495
Number of pages9
JournalAnnals of Nuclear Medicine
Volume23
Issue number5
DOIs
Publication statusPublished - Jul 1 2009

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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