A semi-quantitative method for correlating brain disease groups with normal controls using SPECT: Alzheimer's disease versus vascular dementia

Computerized Medical Imaging and Graphics

Volumn 37, Issue 1, 2013, Pages 40-47

  Chen, Yin J ^a   Deutsch, Georg ^b   Satya, Ramadass ^c   Liu, Hong Gang ^b   Mountz, James M ^d  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b University of Alabama at Birmingham   (United States)

^c UNIVERSITY OF NORTH TEXAS HEALTH SCIENCE CENTER   (United States)

^d UNIVERSITY OF PITTSBURGH MEDICAL CENTER   (United States)

Author keywords

Alzheimer's disease; Brain; Circumferential profile; SPECT; Tc 99m HMPAO; Vascular dementia

Indexed keywords

ALZHEIMER'S DISEASE; CIRCUMFERENTIAL PROFILE; SPECT; TC-99M HMPAO; VASCULAR DEMENTIA;

BRAIN; NEURODEGENERATIVE DISEASES;

NEUROIMAGING;

HEXAMETHYLPROPYLENE AMINE OXIME TECHNETIUM TC 99M; NUCLEAR MAGNETIC RESONANCE IMAGING AGENT;

ALZHEIMER DISEASE; ARTICLE; BRAIN BLOOD FLOW; BRAIN SCINTISCANNING; CLINICAL ARTICLE; CONTROLLED STUDY; FRONTAL CORTEX; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MULTIINFARCT DEMENTIA; NUCLEAR MAGNETIC RESONANCE IMAGING; PARIETAL CORTEX; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; TEMPORAL CORTEX; WHITE MATTER;

AGED; ALZHEIMER DISEASE; CASE-CONTROL STUDIES; CEREBROVASCULAR CIRCULATION; DEMENTIA, VASCULAR; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; RADIOPHARMACEUTICALS; RETROSPECTIVE STUDIES; STATISTICS, NONPARAMETRIC; TECHNETIUM TC 99M EXAMETAZIME; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 84875369690     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2012.11.001     Document Type: Article

References (39)

1. Bachman D.L., Wolf P.A., Linn R., Knoefel J.E., Cobb J., Belanger A., et al. Prevalence of dementia and probable senile dementia of the Alzheimer type in the Framingham Study. Neurology 1992, 42:115-119.
2. Hebert L.E., Scherr P.A., Bienias J.L., Bennett D.A., Evans D.A. Alzheimer disease in the US population: prevalence estimates using the 2000 census. Arch Neurol 2003, 60:1119-1122.
3. Jellinger K.A. The pathology of ischemic-vascular dementia: an update. J Neurol Sci 2002, 203-204:153-157.
4. Kalvach P., Gregová D. Cerebral microangiopathy in the mosaic of new discoveries. J Neurol Sci 2005, 229-230:7-12.
5. Schmidtke K., Hüll M. Cerebral small vessel disease: how does it progress?. J Neurol Sci 2005, 229-230:13-20.
6. Knopman D.S. Dementia cerebrovascular disease. Mayo Clin Proc 2006, 81:223-230.
7. McKhann G., Drachman D., Folstein M., Katzman R., Price D., Stadlan E.M. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-DRDA Work Group under the Auspices of Department of Health and Human Services Task Force on Alzheimer's disease. Neurology 1984, 34:939-944.
8. Zaknun J.J., Leblhuber F., Schücktanz H. Value of cerebral blood flow quantification in the diagnosis of dementia. Nucl Med Commun 2008, 29:260-269.
9. Dougall N., Nobili F., Ebmeier K.P. Predicting the accuracy of a diagnosis of Alzheimer's disease with 99mTc HMPAO single photo emission computed tomography. Psychiatry Res Neuroimaging 2004, 131:157-168.
10. Uchida Y., Minoshima S., Okada S., Kawata T., Ito H. Diagnosis of dementia using perfusion SPECT imaging at the patient's initial visit to a cognitive disorder clinic. Clin Nucl Med 2006, 31:764-773.
11. Kemp P.M., Holmes C., Hoffmann S.M., Bolt L., Holmes R., Rowden J., et al. Alzheimer's disease: differences in technetium-99m HMPAO SPECT scan findings between early onset and late onset dementia. J Neurol Neurosurg Psychiatry 2003, 74:715-719.
12. Goto H., Ishii K., Uemura T., Miyamoto N., Yoshikawa T., Shimada K., et al. Differential diagnosis of dementia with Lewy Bodies and Alzheimer disease using combined MR imaging and brain perfusion single-photon emission tomography. Am J Neuroradiol 2010, 31:720-725.
13. Charpentier P., Lavenu I., Defebvre L., Duhamel A., Lecouffe P., Pasquier F., et al. Alzheimer's disease and frontotemporal dementia are differentiated by discriminant analysis applied to (99m)Tc HmPAO SPECT data. J Neurol Neurosurg Psychiatry 2000, 69:661-663.
14. Nangao M., Sugawara Y., Ikeda M., Fukuhara R., Hokoishi K., Murase K., et al. Heterogeneity of cerebral blood flow in frontotemporal lobar degeneration and Alzheimer's disease. Eur J Nucl Med Mol Imaging 2004, 31:162-168.
15. Dougall N.J., Bruggink S., Ebmeier K.P. Systematic review of the diagnostic accuracy of 99mTc-HMPAO-SPECT in dementia. Am J Geriatr Psychiatry 2004, 12:554-570.
16. Targosz-Gajniak M., Siuda J., Ochudło S., Opala G. Cerebral white matter lesions in patients with dementia-from MCI to severe Alzheimer's disease. J Neurol Sci 2009, 283:79-82.
17. Nitrini R., Buchpiguel C.A., Caramelli P., Bahia V.S., Mathias S.C., Nascimento C.M., et al. SPECT in Alzheimer's disease: features associated with bilateral parietotemporal hypoperfusion. Acta Neurol Scand 2000, 101:172-176.
18. Rachelle S.D., Massman P.J., Mawad M., Nance M. Cognitive consequences of subcortical magnetic resonance imaging changes in Alzheimer's disease: comparison to small vessel ischemic vascular dementia. Neuropsychiatry Neuropsychol Behav Neurol 1998, 11:191-199.
19. Sabri O., Hellwig D., Schreckenberger M., Cremerius U., Schneider R., Kaiser H.J., et al. Correlation of neuropsychological, morphological and functional (regional cerebral blood flow and glucose utilization) findings in cerebral microangiopathy. J Nucl Med 1998, 39:147-154.
20. Sabri O., Ringelstein E.B., Hellwig D., Schneider R., Schreckenberger M., Kaiser H.J., et al. Neuropsychological impairment correlates with hypoperfusion and hypometabolism but not with severity of white matter lesions on MRI in patients with cerebral microangiopathy. Stroke 1999, 30:556-566.
21. Hund-Georgiadis M., Ballaschke O., Scheid R., Norris D.G., von Cramon D.Y. Characterization of cerebral microangiopathy using 3 Tesla MRI: correlation with neurological impairment and vascular risk factors. J Magn Reson Imaging 2002, 15:1-7.
22. Varma A.R., Adams W., Lloyd J.J., Carson K.J., Snowden J.S., Testa H.J., et al. Diagnostic patterns of regional atrophy on MRI and regional cerebral blood flow change on SPECT in young onset patients with Alzheimer's disease, frontotemporal dementia and vascular dementia. Acta Neurol Scand 2002, 105:261-269.
23. Chang L.T. A method for attenuation correction in radionuclide computed tomography. IEEE Trans Nucl Sci 1978, 25:638-643.
24. Liu H.G., Harris J.M., Inampudi C.S., Mountz J.M. Optimal reconstruction filter parameters for multiheaded brain SPECT: dependence on count activity. J Nucl Med Technol 1995, 23:251-257.
25. Wilson M.W., Mountz J.M. A reference system for neuroanatomical localization on functional reconstructed cerebral images. J Comput Assist Tomogr 1989, 13:174-178.
26. Mountz J.M., Wilson M.W., Wolff C.G., Deutsch G., Harris J.M. Validation of a reference method for correlation of anatomic and functional brain images. Comput Med Imaging Graph 1994, 18:163-174.
27. Mountz J.M., Zhang B., Liu H.G., Inampudi C. A reference method for correlation of anatomic and function brain images: validation and clinical applications. Semin Nucl Med 1994, 24:256-271.
28. Liu H.G., Mountz J.M., Inampudi C., San Pedro E.C., Deutsch G. A semiquantitative cortical circumferential normalization method for clinical evaluation of rCBF brain SPECT. Clin Nucl Med 1997, 22:596-604.
29. Yakushev I., Landvogt C., Buchholz H.G., Fellgiebel A., Hammers A., Scheurich A., et al. Choice of reference area in studies of Alzheimer's disease using positron emission tomography with fluorodeoxyglucose-F18. Psychiatry Res Neuroimaging 2008, 164:143-153.
30. Dukart J., Mueller K., Horstmann A., Vogt B., Frisch S., Barthel H., et al. Differential effects of global and cerebellar normalization on detection and differentiation of dementia in FDG-PET studies. NeuroImage 2010, 49:1490-1495.
31. Schroeter M.L., Vogt B., Frisch S., Becker G., Barthel H., Mueller K., et al. Executive deficits are related to the inferior frontal junction in early dementia. Brain 2012, 135:201-215.
32. Deutsch G., Mountz J.M., Katholi C.R., Liu H.G., Harrell L.E. Regional stability of cerebral blood flow measured by repeated Tc-HMPAO SPECT: implications for the study of state dependent change. J Nucl Med 1997, 38:6-13.
33. Longstreth W.T., Manolio T.A., Arnold A., Burke G.L., Bryan N., Jungreis C.A., et al. Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. Stroke 1996, 27:1274-1282.
34. Cullum C.M., Butters N., Tröster A.I., Salmon D.P. Normal aging and forgetting rates on the Wechsler memory scale-revised. Arch Clin Neuropsychol 1990, 5:23-30.
35. Baldo J.V., Schwartz S., Wilkins D., Dronkers N.F. Role of frontal versus temporal cortex in verbal fluency as revealed by voxel-based lesion symptom mapping. J Int Neuropsychol Soc 2006, 12:896-900.
36. Piguet O., Ridley L., Grayson D.A., Bennett H.P., Creasey H., Lye T.C., et al. Are MRI white matter lesions clinically significant in the " old-old" ? Evidence from the Sydney Older Persons Study. Dement Geriatr Cogn Disord 2003, 15:143-150.
37. Minett T.S., Dean J.L., Firbank M., English P., O'Brien J.T. Subjective memory complaints, white-matter lesions, depressive symptoms, and cognition in elderly patients. Am J Geriatr Psychiatry 2005, 13:665-671.
38. Yoshita M., Fletcher E., Harvey D., Ortega M., Martinez O., Mungas D.M., et al. Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD. Neurology 2006, 67:2193-2198.
39. DeCarli C., Fletcher E., Ramey V., Harvey D., Jagust W.J. Anatomical mapping of white matter hyperintensities (WMH): exploring the relationships between periventricular WMH, deep WMH, and total WMH burden. Stroke 2005, 36:50-55.