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Effects of partial volume correction on discrimination between very early Alzheimer’s dementia and controls using brain perfusion SPECT

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Abstract

We assessed the accuracy of brain perfusion single-photon emission computed tomography (SPECT) in discriminating between patients with probable Alzheimer’s disease (AD) at the very early stage and age-matched controls before and after partial volume correction (PVC). Three-dimensional MRI was used for PVC. We randomly divided the subjects into two groups. The first group, comprising 30 patients and 30 healthy volunteers, was used to identify the brain area with the most significant decrease in regional cerebral blood flow (rCBF) in patients compared with normal controls based on the voxel-based analysis of a group comparison. The second group, comprising 31 patients and 31 healthy volunteers, was used to study the improvement in diagnostic accuracy provided by PVC. A Z score map for a SPECT image of a subject was obtained by comparison with mean and standard deviation SPECT images of the healthy volunteers for each voxel after anatomical standardization and voxel normalization to global mean or cerebellar values using the following equation: Z score = ([control mean]−[individual value] )/(control SD). Analysis of receiver operating characteristics curves for a Z score discriminating AD and controls in the posterior cingulate gyrus, where a significant decrease in rCBF was identified in the first group, showed that the PVC significantly enhanced the accuracy of the SPECT diagnosis of very early AD from 73.9% to 83.7% with global mean normalization. The PVC mildly enhanced the accuracy from 73.1% to 76.3% with cerebellar normalization. This result suggests that early diagnosis of AD requires PVC in a SPECT study.

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References

  1. Minoshima S, Foster NL, Kuhl DE. Posterior cingulate cortex in Alzheimer’s disease. Lancet 1994; 344:895.

    CAS  Google Scholar 

  2. Minoshima S, Giordani B, Berent S, Frey KA, Foster NL, Kuhl DE. Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease. Ann Neurol 1997; 42:85–94.

    CAS  PubMed  Google Scholar 

  3. Kogure D, Matsuda H, Ohnishi T, Asada T, Uno M, Kunihiro T, Nakano S, Takasaki M. Longitudinal evaluation of early Alzheimer’s disease using brain perfusion SPECT. J Nucl Med 2000; 41:1155–1162.

    CAS  PubMed  Google Scholar 

  4. Okamura N, Arai H, Maruyama M, Higuchi M, Matsui T, Tanji H, Seki T, Hirai H, Chiba H, Itoh M, Sasaki H. Combined analysis of CSF tau levels and [123I]iodoamphetamine SPECT in mild cognitive impairment: implications for a novel predictor of Alzheimer’s disease. Am J Psychiatry 2002;159:474–476.

    PubMed  Google Scholar 

  5. Matsuda H, Kanetaka H, Ohnishi T, Asada T, Imabayashi E, Nakano S, Kato A, Tanaka F. Brain SPET abnormalities in Alzheimer’s disease before and after atrophy correction. Eur J Nucl Med Mol Imaging 2002; 29:1502–1505.

    Article  CAS  PubMed  Google Scholar 

  6. Sakamoto S, Matsuda H, Asada T, Ohnishi T, Nakano S, Kanetaka H, Takasaki Ml. Apolipoprotein E genotype and early Alzheimer’s disease: a longitudinal SPECT study. J Neuroimaging 2003; 13:113–123.

    Article  PubMed  Google Scholar 

  7. Matsuda H, Ohnishi T, Asada T, Li ZJ, Kanetaka H, Imabayashi E, Tanaka F, Nakano S. Correction for partial-volume effects on brain perfusion SPECT in healthy men. J Nucl Med 2003;44:1243–1252.

    PubMed  Google Scholar 

  8. McKhann G, Drachman D, Folstein M, Katzman R, Prie D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA work group under the auspices of Department of Health and Human Service Task Force on Alzheimer’s Disease. Neurology 1984; 34:939–944.

    PubMed  Google Scholar 

  9. Petersen RC, Doody R, Kurz A, Mohs RC, Morris JC, Rabins PV, Ritchie K, Rossor M, Thal L, Winblad B. Current concepts in mild cognitive impairment. Arch Neurol 2001; 58:1985–1992.

    Article  CAS  PubMed  Google Scholar 

  10. Hughes CP, Berg L, Danziger WL, Coben LA, Martin RL. A new clinical scale for the staging of dementia. Br J Psychiatry 1982; 140:566–572.

    CAS  PubMed  Google Scholar 

  11. Folstein MF, Folstein SE, McHugh PR. Mini-Mental State: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12:189–198.

    CAS  PubMed  Google Scholar 

  12. Muller-Gartner HW, Links JM, Prince JL, Bryan RN, McVeigh E, Leal JP, Davatzikos C, Frost JJ. Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects. J Cereb Blood Flow Metab 1992; 12:571–583.

    PubMed  Google Scholar 

  13. Labbe C, Froment JC, Kennedy A, Ashburner J, Cinotti L. Positron emission tomography metabolic data corrected for cortical atrophy using magnetic resonance imaging. Alzheimer Dis Assoc Disord 1996; 10:141–170.

    CAS  PubMed  Google Scholar 

  14. Talairach J, Tourmoux P. Co-planar stereotaxic atlas of the human brain. New York: Thieme Medical, 1988.

  15. Ohnishi T, Matsuda H, Hashimoto T, Kunihiro T, Nishikawa M, Uema T, Sasaki M. Abnormal regional cerebral blood flow in childhood autism. Brain 2000; 123:1838–1844.

    Article  PubMed  Google Scholar 

  16. Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med 1995; 36:1238–1248.

    CAS  PubMed  Google Scholar 

  17. Ishii K, Sasaki M, Matsui M, Sakamoto S, Yamaji S, Hayashi N, Mori T, Kitagaki H, Hirono N, Mori E. A diagnostic method for suspected Alzheimer’s disease using H2 15O positron emission tomography perfusion Z score. Neuroradiology 2000; 42:787–794.

    Article  CAS  PubMed  Google Scholar 

  18. Metz CE, Herman BA, Roe CA. Statistical comparison of two ROC-curve estimates obtained from partially-paired datasets. Med Decis Making 1998; 18:110–121.

    PubMed  Google Scholar 

  19. Jiang Y, Metz CE, Nishikawa RM. A receiver operating characteristic partial area index for highly sensitive diagnostic tests. Radiology 1996; 201:745–750.

    CAS  PubMed  Google Scholar 

  20. Ibanez V, Pietrini P, Alexander GE, Furey ML, Teichberg D, Rajapakse JC, Rapoport SI, Schapiro MB, Horwitz B. Regional glucose metabolic abnormalities are not the result of atrophy in Alzheimer’s disease. Neurology 1998; 50:1585–1593.

    CAS  PubMed  Google Scholar 

  21. Chetelat G, Desgranges B, De La Sayette V, Viader F, Eustache F, Baron JC. Mild cognitive impairment: Can FDG-PET predict who is to rapidly convert to Alzheimer’s disease? Neurology 2003; 60:1374–1377.

    CAS  PubMed  Google Scholar 

  22. Berent S, Giordani B, Foster N, Minoshima S, Lajiness-O’Neill R, Koeppe R, Kuhl DE. Neuropsychological function and cerebral glucose utilization in isolated memory impairment and Alzheimer’s disease. J Psychiatr Res 1999; 33:7–16.

    Article  CAS  PubMed  Google Scholar 

  23. Matsuda H, Kitayama N, Ohnishi T, Asada T, Nakano S, Sakamoto S, Imabayashi E, Katoh A. Longitudinal evaluation of both morphologic and functional changes in the same individuals with Alzheimer’s disease. J Nucl Med 2002; 43:304–311.

    PubMed  Google Scholar 

  24. Soonawala D, Amin T, Ebmeier KP, Steele JD, Dougall NJ, Best J, Migneco O, Nobili F, Scheidhauer K. Statistical parametric mapping of (99m)Tc-HMPAO-SPECT images for the diagnosis of Alzheimer’s disease: normalizing to cerebellar tracer uptake. Neuroimage 2002; 17:1193–1202.

    Article  PubMed  Google Scholar 

  25. Bartenstein P, Minoshima S, Hirsch C, Buch K, Willoch F, Mosch D, Schad D, Schwaiger M, Kurz A. Quantitative assessment of cerebral blood flow in patients with Alzheimer’s disease by SPECT. J Nucl Med 1997; 38:1095–1101.

    CAS  PubMed  Google Scholar 

  26. Braak H, Braak E. Neuropathological staging of Alzheimer-related changes. Acta Neuropathol 1991; 82:239–256.

    CAS  PubMed  Google Scholar 

  27. Johnson KA, Jones K, Holman BL, Becker JA, Spiers PA, Satlin A, Albert MS. Preclinical prediction of Alzheimer’s disease using SPECT. Neurology 1998; 50:1563–1571.

    CAS  PubMed  Google Scholar 

  28. Ishii K, Willoch F, Minoshima S, Drzezga A, Ficaro EP, Cross DJ, Kuhl DE, Schwaiger M. Statistical brain mapping of18F-FDG PET in Alzheimer’s disease: validation of anatomic standardization for atrophied brains. J Nucl Med 2001; 42:548–557.

    CAS  PubMed  Google Scholar 

  29. Herholz K, Salmon E, Perani D, Baron JC, Holthoff V, Frolich L, Schonknecht P, Ito K, Mielke R, Kalbe E, Zundorf G, Delbeuck X, Pelati O, Anchisi D, Fazio F, Kerrouche N, Desgranges B, Eustache F, Beuthien-Baumann B, Menzel C, Schroder J, Kato T, Arahata Y, Henze M, Heiss WD. Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. Neuroimage 2002; 17:302–316.

    Article  PubMed  Google Scholar 

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Acknowledgements

We are very thankful to Mr. Tsutomu Souma and Mr. Naoharu Takemura for assistance in developing software programs, the technical staff in our hospital for data acquisition of SPECT and MRI, and Mr. John Gelblum for his proofreading of this manuscript.

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Authors and Affiliations

  1. Department of Radiology, National Center Hospital for Mental, Nervous and Muscular Disorders, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, 187-8551, Kodaira, Tokyo, Japan

    Hidekazu Kanetaka, Hiroshi Matsuda, Takashi Ohnishi, Etsuko Imabayashi & Fumiko Tanaka

  2. Department of Neuropsychiatry, Institute of Clinical Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan

    Takashi Asada & Fumio Yamashita

  3. Department of Geriatric Medicine, National Center Hospital for Mental, Nervous and Muscular Disorders, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan

    Seigo Nakano

  4. Department of Geriatric Medicine, Tokyo Medical University, Shinjuku, Tokyo, Japan

    Hidekazu Kanetaka & Masaru Takasaki

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  1. Hidekazu Kanetaka
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  2. Hiroshi Matsuda
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  3. Takashi Asada
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  4. Takashi Ohnishi
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  6. Etsuko Imabayashi
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  7. Fumiko Tanaka
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  8. Seigo Nakano
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  9. Masaru Takasaki
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Correspondence to Hiroshi Matsuda.

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Kanetaka, H., Matsuda, H., Asada, T. et al. Effects of partial volume correction on discrimination between very early Alzheimer’s dementia and controls using brain perfusion SPECT. Eur J Nucl Med Mol Imaging 31, 975–980 (2004). https://doi.org/10.1007/s00259-004-1491-3

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  • DOI: https://doi.org/10.1007/s00259-004-1491-3

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