Abstract
Therapies to slow down the progression of Alzheimer’s disease are most effective when applied in its initial stages. Therefore it is important to develop methods to diagnose the disease as early as possible. It is also desirable to establish standards which can be used generally by physicians who may not be experts in diagnosis of the disease. One possible method to obtain an early diagnosis is the evaluation of the glucose metabolism of the brain. In this paper we present a prototype of an expert system that automatically diagnoses Alzheimer’s disease on the basis of positron emission tomography images displaying the metabolic activity in the brain.
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References
Behl, C., Sagara, Y.: Mechanism of amyloid beta protein induced neuronal cell death: current concepts and future perspectives. J. Neural. Transm. Suppl. 49, 125–134 (1997)
Burdette, J.H., Minoshima, S., Borght, T.V., Tran, D.D., Kuhl, D.E.: Alzheimer disease: improved visual interpretation of PET images by using three-dimensional stereotaxic surface projections. Radiology 198, 837–843 (1996)
Heiss, W.D., Szelies, B., Kessler, J., Herholz, K.: Abnormalities of energy metabolism in Alzheimer’s disease studies with PET. Ann. N. Y. Acad. Sci. 640, 65–71 (1991)
Holman, B.L., Devous, M.D.: Functional brain SPECT: the emergence of a powerful clinical method. J. Nucl. Med. 33, 1888–1904 (1992)
Mayeux, R., Sano, M.: Drug therapy: treatment of Alzheimer’s disease. N. Engl. J. Med. 341, 1670–1679 (1999)
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., Stadlan, E.M.: Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 34, 939–944 (1984)
Minoshima, S., Frey, K.A., Koeppe, R.A., Foster, N.L., Kuhl, D.E.: A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J. Nucl. Med. 36, 1238–1248 (1995)
Minoshima, S., Giordani, B., Berent, S., Frey, K.A., Foster, N.L., Kuhl, D.E.: Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease. Ann. Neurol. 42, 85–94 (1997)
Oehm, S.: Entwurf und Implementation eines wissensbasierten Systems zur Diagnose der Alzheimer-Demenz. Diploma Thesis (unpublished), Dep. of Mathematics and Computer Science, Johannes Gutenberg University, Mainz, Germany (2002)
Talairach, J., Tournoux, P.: Co-Planar Stereotaxic Atlas of the Human Brain. Thieme Medical Publishers, New York (1988)
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Oehm, S., Siessmeier, T., Buchholz, HG., Bartenstein, P., Uthmann, T. (2003). A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds) Artificial Intelligence in Medicine. AIME 2003. Lecture Notes in Computer Science(), vol 2780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39907-0_17
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DOI: https://doi.org/10.1007/978-3-540-39907-0_17
Publisher Name: Springer, Berlin, Heidelberg
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