The value of FDG-PET/CT by using 3-dimensional stereotactic surface projection software analysis in the differential diagnosis of dementia

Background/aim: To retrospectively reevaluate brain fluor-18-fluorodeoxyglucose positron emission tomography (FDG-PET) imaging studies with 3-dimensional stereotactic surface projection (NEUROSTAT) software in order to detect changes in regional brain metabolism and to find out its contribution to the final diagnosis. Materials and methods: A total of 48 cases were included in this study. According to clinical evaluation and neuropsychometric test results, there were 17 (35%) patients with probable Alzheimer disease (AD), 17 (35%) patients with probable frontotemporal dementia (FTD), and 14 (30%) patients with undefined advanced dementia. Brain FDG-PET imaging studies were interpreted visually and also using 3-dimensional stereotactic surface projection. Results: Clinic and PET findings were consistent in 20 patients and inconsistent in 14 patients. When consensus diagnosis was taken as the reference, the sensitivity, specificity, accuracy, and positive and negative predictive values of FDG-PET imaging were 93%, 85%, 90%, 90%, and 89% respectively, for AD diagnosis. The same values were 85%, 93%, 90%, 89%, and 90%, respectively, for FTD definition. Conclusion: Using automatized programs that enable quantitative evaluation of regional brain glucose metabolism, in addition to visual evaluation, may increase diagnostic efficiency, as well as minimize interobserver and/or intercenter variability.

The value of FDG-PET/CT by using 3-dimensional stereotactic surface projection software analysis in the differential diagnosis of dementia

Background/aim: To retrospectively reevaluate brain fluor-18-fluorodeoxyglucose positron emission tomography (FDG-PET) imaging studies with 3-dimensional stereotactic surface projection (NEUROSTAT) software in order to detect changes in regional brain metabolism and to find out its contribution to the final diagnosis. Materials and methods: A total of 48 cases were included in this study. According to clinical evaluation and neuropsychometric test results, there were 17 (35%) patients with probable Alzheimer disease (AD), 17 (35%) patients with probable frontotemporal dementia (FTD), and 14 (30%) patients with undefined advanced dementia. Brain FDG-PET imaging studies were interpreted visually and also using 3-dimensional stereotactic surface projection. Results: Clinic and PET findings were consistent in 20 patients and inconsistent in 14 patients. When consensus diagnosis was taken as the reference, the sensitivity, specificity, accuracy, and positive and negative predictive values of FDG-PET imaging were 93%, 85%, 90%, 90%, and 89% respectively, for AD diagnosis. The same values were 85%, 93%, 90%, 89%, and 90%, respectively, for FTD definition. Conclusion: Using automatized programs that enable quantitative evaluation of regional brain glucose metabolism, in addition to visual evaluation, may increase diagnostic efficiency, as well as minimize interobserver and/or intercenter variability.

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  • Freidl W, Schmidt R, Stronegger WJ, Irmler A, Reinhart B, Koch M. Mini Mental State Examination: influence of sociodemographic, environmental and behavioral factors and vascular risk factors. J Clin Epidemiol 1996; 49: 73–78.
  • Phelps ME, Huang SC, Hoffman EJ, Selin C, Sokoloff L, Kuhl DE. Tomographic measurement of local cerebral metabolic rate in humans with 18F-FDG: validation of method. Ann Neurol 1979; 6: 371–388.
  • Green RC. Diagnosis and Management of Alzheimer’s Disease and Other Dementias. Caddo, OK, USA: Professional Communications, Inc.; 2005.
  • Imamura T, Ishii K, Sasaki M, Kitagaki H, Yamaji S, Hirono N, Shimomura T, Hashimoto M, Tanimukai S, Kazui H et al. Regional cerebral glucose metabolism in dementia with Lewy bodies and Alzheimer’s disease: a comparative study using positron emission tomography. Neurosci Lett 1997; 235: 49– 52. 9. Herholz K, Nordberg A, Salmon E, Perani D, Kessler J, Mielke R, Halber M, Jelic V, Almkvist O, Collette F et al. Impairment of neocortical metabolism predicts progression in Alzheimer’s disease. Dement Geriatr Cogn Disord 1999; 10: 494–504.
  • De Santi S, de Leon MJ, Rusinek H, Convit A, Tarshish CY, Roche A, Tsui WH, Kandil E, Boppana M, Daisley K et al. Hippocampal formation glucose metabolism and volume losses in MCI and AD. Neurobiol Aging 2001; 22: 529–539.
  • Silverman DH, Cummings JL, Small GW, Gambhir SS, Chen W, Czernin J, Phelps ME. Added clinical benefit of incorporating 2-deoxy-2-[18F]fluoro-D-glucose with positron emission tomography into the clinical evaluation of patients with cognitive impairment. Mol Imaging Biol 2002; 4: 283–293.
  • Ishii K, Willoch F, Minoshima S, Drzezga A, Ficaro EP, Cross DJ, Kuhl DE, Schwaiger M. Statistical brain mapping of 18F-FDG PET in Alzheimer’s disease: validation of anatomic standardization for atrophied brains. J Nucl Med 2001; 42: 548–557.
  • Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A diagnostic approach in Alzheimer’s disease using three- dimensional stereotactic surface projections fluorine-18-FDG PE. J Nucl Med 1995; 36: 1238–1248.
  • Koeppe RA, Gilman S, Joshi A, Liu S, Little R, Junck L, Heumann M, Frey KA, Albin RL. 11 C-DTBZ and 18FDG- PET measures in differentiating dementias. J Nucl Med 2005; 46: 936–944.
  • Foster NL, Heidebrink JL, Clark CM, Jagust WJ, Arnold SE, Barbas NR, DeCarli CS, Turner RS, Koeppe RA, Higdon R et al. FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer’s disease. Brain 2007; 130: 2616–2635.
  • Hirono N, Mori E, Ikejiri Y, Imamura T, Shimomura T, Hashimoto M, Yamashita H, Sasaki M. Hypofunction in the posterior cingulate gyrus correlates with disorientation for time and place in Alzheimer’s disease. J Neurol Neurosurg Psychiatry 1998; 64: 552–554.
  • Li Y, Rinne JO, Mosconi L, Pirraglia E, Rusinek H, DeSanti S, Kemppainen N, Någren K, Kim BC, Tsui W et al. Regional analysis of FDG and PIB-PET images in normal aging, mild cognitive impairment, and Alzheimer’s disease. Eur J Nucl Med Mol Imaging 2008; 35: 2169–2181.
  • Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ. Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp 1994; 2: 189–210.
Turkish Journal of Medical Sciences-Cover
  • ISSN: 1300-0144
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Sayıdaki Diğer Makaleler

Cognitive problems related to vertebrobasilar circulation

Abdulkadir KOÇER

Plasma 8-isoPGF2α and serum melatonin levels in patients with minimal cognitive impairment and Alzheimer disease

Fevziye Burcu ŞİRİN, Recep SÜTÇÜ, İbrahim EREN, İkbal İNANLI, Namık DELİBAŞ, Hüseyin VURAL, Duygu DOĞUÇ KUMBUL

Molecular docking and ex vivo and in vitro anticholinesterase activity studies ofSalvia sp. and highlighted rosmarinic acid

Lütfiye Ömür DEMİREZER, Perihan GÜRBÜZ, Emine Pelin Kelicen UĞUR, Mine BODUR, Nadire ÖZENVER, Ayşe UZ, Zühal GÜVENALP

The connection between MCI and Alzheimer disease: neurocognitive clues

Kübra BATUM, Nilgün ÇINAR, Şevki ŞAHİN, Miraç Ayşen ÇAKMAK, Sibel KARŞIDAĞ

Impaired cognitive performance and hippocampal atrophy in Parkinson disease

DEMET YILDIZ, SEVDA ERER, MEHMET ZARİFOĞLU, BAHATTİN HAKYEMEZ, MUSTAFA BAKAR, NECDET KARLI, ZEYNEP NİGAR VARLIBAŞ, FATİH TUFAN

Test your memory-Turkish version (TYM-TR): reliability and validity study of a cognitive screening test

İLKNUR MAVİŞ, BELGİN DEMET ÖZBABALIK ADAPINAR, ÇINAR YENİLMEZ, AYŞE AYDIN, ENGİN OLGUN, CENGİZ BAL

Role of autophagy in the pathogenesis of Alzheimer disease

MUHAMMET CEMAL KIZILARSLANOĞLU, ZEKERİYA ÜLGER

The effects and interactions of APOE and APH-1A polymorphisms in Alzheimer disease

Burcu Acar ÇİNLETİ, Nilgül YARDIMCI, Zübeyde AYTÜRK, Atilla İLHAN, Gülhan KAYA, Muradiye ACAR, Emine Rabia KOÇ, Esra GÜNDÜZ, Mehmet GÜNDÜZ

Why is Alzheimer disease confused with other dementias?

İbrahim Levent GÜNGÖR, Dursun AYGÜN

COGNITIVE PROBLEMS RELATED TO VERTEBRO-BASILAR CIRCULATION

ABDULKADİR KOÇER