Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting
Autor: | Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, Panzacchi A, Nobili F, Pappatà S, Marcone A, Garibotto V, CASTIGLIONI I, Magnani G, Cappa SF, Gianolli L, Drzezga A, Perneczky R, Didic M, Guedj E, Van Berckel BN, Ossenkoppele R, Morbelli S, Frisoni G, Caroli A |
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Přispěvatelé: | Radiology and nuclear medicine, NCA - Brain imaging technology, NCA - neurodegeneration, Perani, D, Della Rosa, P, Cerami, C, Gallivanone, F, Fallanca, F, Vanoli, E, Panzacchi, A, Nobili, F, Pappatà, S, Marcone, A, Garibotto, V, Castiglioni, I, Magnani, G, Cappa, S, Gianolli, L, Drzezga, A, Perneczky, R, Didic, M, Guedj, E, Van Berckel, B, Ossenkoppele, R, Morbelli, S, Frisoni, G, Caroli, A, Della Rosa, Pasquale Anthony, Cerami, Chiara, Gallivanone, Francesca, Fallanca, Federico, Vanoli, Emilia Giovanna, Panzacchi, Andrea, Nobili, Flavio, Pappata, Sabina, Marcone, Alessandra, Garibotto, Valentina, Castiglioni, Isabella, Magnani, Giuseppe, Cappa, Stefano, Gianolli, Luigi |
Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
NATIONAL INSTITUTE
Male MILD COGNITIVE IMPAIRMENT Data Interpretation Neurology Statistical Parametrical Mapping GUIDELINES lcsh:RC346-429 DISEASE RECOMMENDATIONS 030218 nuclear medicine & medical imaging Computer-Assisted 0302 clinical medicine pet Dementia diagnosis Nuclear Medicine and Imaging Diagnosis 80 and over F-18-FDG PET Diagnosis Computer-Assisted 10. No inequality Aged 80 and over FDG-PET imaging Statistical parametrical mapping Voxel-based analysis Aged Brain Data Interpretation Statistical Female Fluorodeoxyglucose F18 Humans Middle Aged Neurodegenerative Diseases Positron-Emission Tomography Sensitivity and Specificity Neurology (clinical) Radiology Nuclear Medicine and Imaging Cognitive Neuroscience Medicine (all) medicine.diagnostic_test EADC-PET Consortium GLUCOSE-METABOLISM ALZHEIMERS ASSOCIATION WORKGROUPS Statistical LEWY BODIES 3. Good health Positron emission tomography lcsh:R858-859.7 Radiology Psychology Life Sciences & Biomedicine medicine.medical_specialty Neuroimaging Neurodegenerative Diseases/diagnosis lcsh:Computer applications to medicine. Medical informatics ddc:616.0757 Article 03 medical and health sciences mental disorders medicine Dementia Brain/metabolism Radiology Nuclear Medicine and imaging lcsh:Neurology. Diseases of the nervous system Science & Technology business.industry fungi Gold standard (test) FRONTOTEMPORAL DEMENTIA medicine.disease Positron-Emission Tomography/methods Clinical diagnosis Neurosciences & Neurology Differential diagnosis Nuclear medicine business 030217 neurology & neurosurgery |
Zdroj: | NeuroImage: Clinical, Vol. 6 (2014) pp. 445-54 NeuroImage : Clinical EADC-PET Consortium 2014, ' Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting ', NeuroImage: Clinical, vol. 6, pp. 445-454 . https://doi.org/10.1016/j.nicl.2014.10.009 NeuroImage: Clinical 6 (2014): 445–454. doi:10.1016/j.nicl.2014.10.009 info:cnr-pdr/source/autori:Daniela Perani a,b,c,d 1, Pasquale Anthony Della Rosa d 1, Chiara Ceramia e 1, Francesca Gallivanone d, Federico Fallanca c, Emilia Giovanna Vanoli c, Andrea Panzacchi c, Flavio Nobili f, Sabina Pappatà g, Alessandra Marcone f, Valentina Garibotto h, Isabella Castiglioni d, Giuseppe Magnani i, Stefano F. Cappa e,j, Luigi Gianolli c, EADC-PET Consortium 2/titolo:Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting/doi:10.1016%2Fj.nicl.2014.10.009/rivista:NeuroImage: Clinical/anno:2014/pagina_da:445/pagina_a:454/intervallo_pagine:445–454/volume:6 NeuroImage: Clinical, 6, 445-454. Elsevier BV NeuroImage: Clinical, Vol 6, Iss C, Pp 445-454 (2014) |
ISSN: | 2213-1582 |
Popis: | Diagnostic accuracy in FDG-PET imaging highly depends on the operating procedures. In this clinical study on dementia, we compared the diagnostic accuracy at a single-subject level of a) Clinical Scenarios, b) Standard FDG Images and c) Statistical Parametrical (SPM) Maps generated via a new optimized SPM procedure. We evaluated the added value of FDG-PET, either Standard FDG Images or SPM Maps, to Clinical Scenarios. In 88 patients with neurodegenerative diseases (Alzheimer's Disease—AD, Frontotemporal Lobar Degeneration—FTLD, Dementia with Lewy bodies—DLB and Mild Cognitive Impairment—MCI), 9 neuroimaging experts made a forced diagnostic decision on the basis of the evaluation of the three types of information. There was also the possibility of a decision of normality on the FDG-PET images. The clinical diagnosis confirmed at a long-term follow-up was used as the gold standard. SPM Maps showed higher sensitivity and specificity (96% and 84%), and better diagnostic positive (6.8) and negative (0.05) likelihood ratios compared to Clinical Scenarios and Standard FDG Images. SPM Maps increased diagnostic accuracy for differential diagnosis (AD vs. FTD; beta 1.414, p = 0.019). The AUC of the ROC curve was 0.67 for SPM Maps, 0.57 for Clinical Scenarios and 0.50 for Standard FDG Images. In the MCI group, SPM Maps showed the highest predictive prognostic value (mean LOC = 2.46), by identifying either normal brain metabolism (exclusionary role) or hypometabolic patterns typical of different neurodegenerative conditions. Highlights • Brain FDG-PET was evaluated with a new optimized SPM procedure in dementias. • We compared the diagnostic accuracy of clinical information, visual and SPM FDG-PET. • SPM had the best sensitivity (96%), specificity (84%) and positive and negative LR. • In an MCI subgroup, SPM had the highest predictive prognostic value. |
Databáze: | OpenAIRE |
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