Prediction of outcomes in MCI with 123I-IMP-CBF SPECT: A multicenter prospective cohort study

Kengo Ito, Etsuro Mori, Hidenao Fukuyama, Kazunari Ishii, Yukihiko Washimi, Takashi Asada, Satoru Mori, Kenichi Meguro, Shin Kitamura, Haruo Hanyu, Seigo Nakano, Hiroshi Matsuda, Yasuo Kuwabara, Kazuo Hashikawa, Toshimitsu Momose, Yoshitaka Uchida, Jun Hatazawa, Satoshi Minoshima, Kenji Kosaka, Tatsuo YamadaYoshiharu Yonekura

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Objective: The multicenter prospective cohort study (Japan Cooperative SPECT Study on Assessment of Mild Impairment of Cognitive Function: J-COSMIC) aimed to examine the value of 123I-N-isopropyl-4-iodoamphetamine cerebral blood flow (IMP-CBF) SPECT in regards to early diagnosis of Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI). Methods: Three hundred and nineteen patients with amnestic MCI at 41 participating institutions each underwent clinical and neuropsychological examinations and 123I-IMP-CBF SPECT at baseline. Subjects were followed up periodically for 3 years, and progression to dementia was evaluated. SPECT images were classified as AD/DLB (dementia with Lewy bodies) pattern and non-AD/DLB pattern by central image interpretation and automated region of interest (ROI) analysis, respectively. Logistic regression analyses were used to assess whether baseline 123I-IMP-CBF SPECT was predictive of longitudinal clinical outcome. Results: Ninety-nine of 216 amnestic MCI patients (excluding 3 cases with epilepsy (n = 2) or hydrocephalus (n = 1) and 100 cases with incomplete follow-up) converted to AD within the observation period. Central image interpretation and automated ROI analysis predicted conversion to AD with 56 and 58 % overall diagnostic accuracy (sensitivity, 76 and 81 %; specificity, 39 and 37 %), respectively. Multivariate logistic regression analysis identified SPECT as a predictor, which distinguished AD converters from non-converters. The odds ratio for a positive SPECT to predict conversion to AD with automated ROI analysis was 2.5 and combining SPECT data with gender and mini-mental state examination (MMSE) further improved classification (joint odds ratio 20.08). Conclusions: 123I-IMP-CBF SPECT with both automated ROI analysis and central image interpretation was sensitive but relatively nonspecific for prediction of clinical outcome during the 3-year follow-up in individual amnestic MCI patients. A combination of statistically significant predictors, both SPECT with automated ROI analysis and neuropsychological evaluation, may increase predictive utility.

Original languageEnglish
Pages (from-to)898-906
Number of pages9
JournalAnnals of Nuclear Medicine
Volume27
Issue number10
DOIs
Publication statusPublished - 2013 Dec

Keywords

  • Alzheimer's disease
  • Cerebral blood flow
  • Mild cognitive impairment
  • Prospective study
  • SPECT

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Prediction of outcomes in MCI with <sup>123</sup>I-IMP-CBF SPECT: A multicenter prospective cohort study'. Together they form a unique fingerprint.

  • Cite this

    Ito, K., Mori, E., Fukuyama, H., Ishii, K., Washimi, Y., Asada, T., Mori, S., Meguro, K., Kitamura, S., Hanyu, H., Nakano, S., Matsuda, H., Kuwabara, Y., Hashikawa, K., Momose, T., Uchida, Y., Hatazawa, J., Minoshima, S., Kosaka, K., ... Yonekura, Y. (2013). Prediction of outcomes in MCI with 123I-IMP-CBF SPECT: A multicenter prospective cohort study. Annals of Nuclear Medicine, 27(10), 898-906. https://doi.org/10.1007/s12149-013-0768-7