Voxel-based classification of FDG PET in dementia using inter-scanner normalization

NeuroImage

Volumn 77, Issue , 2013, Pages 62-69

  Thiele, Frank ^a   Young, Stewart ^a   Buchert, Ralph ^b   Wenzel, Fabian ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

18F fluorodeoxyglucose; Alzheimer's disease; Classification; Dementia; FDG PET; Frontotemporal dementia

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

ACCURACY; ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN MAPPING; BRAIN RADIOGRAPHY; BRAIN REGION; CLASSIFIER; CLINICAL EVALUATION; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; FEASIBILITY STUDY; FRONTOTEMPORAL DEMENTIA; HUMAN; IMAGE ANALYSIS; INTER SCANNER NORMALIZATION; MAJOR CLINICAL STUDY; MATHEMATICAL PARAMETERS; NEUROIMAGING; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL;

AGED; ARTIFICIAL INTELLIGENCE; BRAIN; DEMENTIA; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS;

EID: 84876711253     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.03.031     Document Type: Article

References (44)

1. Barnden L.R., Hatton R.L., Behin-Ain S., Hutton B.F., Goble E.A. Optimisation of brain SPET and portability of normal databases. Eur. J. Nucl. Med. Mol. Imaging 2004, 31:378-387.
2. Borghammer P., Cumming P., Aanerud J., Gjedde A. Artefactual subcortical hyperperfusion in PET studies normalized to global mean: lessons from Parkinson's disease. NeuroImage 2009, 45:249-257.
3. Borghammer P., Jonsdottir K.Y., Cumming P., Ostergaard K., Vang K., Ashkanian M., Vafaee M., Iversen P., Gjedde A. Normalization in PET group comparison studies - the importance of a valid reference region. NeuroImage 2008, 40:529-540.
4. Chen K., Ayutyanont N., Langbaum J.B., Fleisher A.S., Reschke C., Lee W., Liu X., Bandy D., Alexander G.E., Thompson P.M., Shaw L., Trojanowski J.Q., Jack C.R., Landau S.M., Foster N.L., Harvey D.J., Weiner M.W., Koeppe R.A., Jagust W.J., Reiman E.M. Characterizing Alzheimer's disease using a hypometabolic convergence index. NeuroImage 2011, 56:52-60.
5. Cuingnet R., Gerardin E., Tessieras J., Auzias G., Lehericy S., Habert M.O., Chupin M., Benali H., Colliot O. Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database. NeuroImage 2011, 56:766-781.
6. Davatzikos C., Resnick S.M., Wu X., Parmpi P., Clark C.M. Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI. NeuroImage 2008, 41:1220-1227.
7. Davatzikos C., Xu F., An Y., Fan Y., Resnick S.M. Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index. Brain 2009, 132:2026-2035.
8. de Bie T., Cristianini N., Rosipal R. Eigenproblems in pattern recognition. Handbook of Computational Geometry for Pattern Recognition, Computer Vision, Neurocomputing, and Robotics 2006, Springer.
9. Dukart J., Mueller K., Horstmann A., Barthel H., Moller H.E., Villringer A., Sabri O., Schroeter M.L. Combined evaluation of FDG-PET and MRI improves detection and differentiation of dementia. PLoS One 2011, 6:e18111.
10. Foster N.L., Heidebrink J.L., Clark C.M., Jagust W.J., Arnold S.E., Barbas N.R., DeCarli C.S., Turner R.S., Koeppe R.A., Higdon R., Minoshima S. FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease. Brain 2007, 130:2616-2635.
11. Habeck C., Foster N.L., Perneczky R., Kurz A., Alexopoulos P., Koeppe R.A., Drzezga A., Stern Y. Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease. NeuroImage 2008, 40:1503-1515.
12. Herholz K., Salmon E., Perani D., Baron J.C., 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 W.D. Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. NeuroImage 2002, 17:302-316.
13. Higdon R., Foster N.L., Koeppe R.A., DeCarli C.S., Jagust W.J., Clark C.M., Barbas N.R., Arnold S.E., Turner R.S., Heidebrink J.L., Minoshima S. A comparison of classification methods for differentiating fronto-temporal dementia from Alzheimer's disease using FDG-PET imaging. Stat. Med. 2004, 23:315-326.
14. Hinrichs C., Singh V., Mukherjee L., Xu G., Chung M.K., Johnson S.C. Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage 2009, 48:138-149.
15. Hooper P.K., Meikle S.R., Eberl S., Fulham M.J. Validation of postinjection transmission measurements for attenuation correction in neurological FDG-PET studies. J. Nucl. Med. 1996, 37:128-136.
16. Horn J.F., Habert M.O., Kas A., Malek Z., Maksud P., Lacomblez L., Giron A., Fertil B. Differential automatic diagnosis between Alzheimer's disease and frontotemporal dementia based on perfusion SPECT images. Artif. Intell. Med. 2009, 47:147-158.
17. Ibach B., Poljansky S., Marienhagen J., Sommer M., Manner P., Hajak G. Contrasting metabolic impairment in frontotemporal degeneration and early onset Alzheimer's disease. NeuroImage 2004, 23:739-743.
18. Johnson J.K., Head E., Kim R., Starr A., Cotman C.W. Clinical and pathological evidence for a frontal variant of Alzheimer disease. Arch. Neurol. 1999, 56:1233-1239.
19. Joshi A., Koeppe R.A., Fessler J.A. Reducing between scanner differences in multi-center PET studies. NeuroImage 2009, 46:154-159.
20. Kloppel S., Stonnington C.M., Chu C., Draganski B., Scahill R.I., Rohrer J.D., Fox N.C., Jack C.R., Ashburner J., Frackowiak R.S. Automatic classification of MR scans in Alzheimer's disease. Brain 2008, 131:681-689.
21. Koch W., Radau P.E., Munzing W., Tatsch K. Cross-camera comparison of SPECT measurements of a 3-D anthropomorphic basal ganglia phantom. Eur. J. Nucl. Med. Mol. Imaging 2006, 33:495-502.
22. Krishnan A., Williams L.J., McIntosh A.R., Abdi H. Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review. NeuroImage 2011, 56:455-475.
23. Markiewicz P.J., Matthews J.C., Declerck J., Herholz K. Robustness of multivariate image analysis assessed by resampling techniques and applied to FDG-PET scans of patients with Alzheimer's disease. NeuroImage 2009, 46:472-485.
24. Markiewicz P.J., Matthews J.C., Declerck J., Herholz K. Verification of predicted robustness and accuracy of multivariate analysis. NeuroImage 2011, 56:1382-1385.
25. McIntosh A.R., Lobaugh N.J. Partial least squares analysis of neuroimaging data: applications and advances. NeuroImage 2004, 23(Suppl. 1):S250-S263.
26. 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 1984, 34:939-944.
27. Minoshima S., Foster N.L., Sima A.A., Frey K.A., Albin R.L., Kuhl D.E. Alzheimer's disease versus dementia with Lewy bodies: cerebral metabolic distinction with autopsy confirmation. Ann. Neurol. 2001, 50:358-365.
28. 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. 1995, 36:1238-1248.
29. Mosconi L., Tsui W.H., Herholz K., Pupi A., Drzezga A., Lucignani G., Reiman E.M., Holthoff V., Kalbe E., Sorbi S., Diehl-Schmid J., Perneczky R., Clerici F., Caselli R., Beuthien-Baumann B., Kurz A., Minoshima S., de Leon M.J. Multicenter standardized 18F-FDG PET diagnosis of mild cognitive impairment, Alzheimer's disease, and other dementias. J. Nucl. Med. 2008, 49:390-398.
30. Pardo J.V., Lee J.T., Sheikh S.A., Surerus-Johnson C., Shah H., Munch K.R., Carlis J.V., Lewis S.M., Kuskowski M.A., Dysken M.W. Where the brain grows old: decline in anterior cingulate and medial prefrontal function with normal aging. NeuroImage 2007, 35:1231-1237.
31. Rifkin R., Klautau A. In defense of one-vs-all classification. J. Mach. Learn. Res. 2004, 5:101-141.
32. Sadeghi N., Foster N.L., Wang A.Y., Minoshima S., Lieberman A.P., Tasdizen T. Automatic classification of Alzheimer's disease vs. frontotemporal dementia: a spatial decision tree approach with FDG-PET. Proceedings of the IEEE International Symposium on Biomedical Imaging-ISBI 2008, 408-411.
33. Salmon E., Garraux G., Delbeuck X., Collette F., Kalbe E., Zuendorf G., Perani D., Fazio F., Herholz K. Predominant ventromedial frontopolar metabolic impairment in frontotemporal dementia. NeuroImage 2003, 20:435-440.
34. Salmon E., Kerrouche N., Perani D., Lekeu F., Holthoff V., Beuthien-Baumann B., Sorbi S., Lemaire C., Collette F., Herholz K. On the multivariate nature of brain metabolic impairment in Alzheimer's disease. Neurobiol. Aging 2009, 30:186-197.
35. Silverman D.H., Small G.W., Chang C.Y., Lu C.S., Kung De Aburto M.A., Chen W., Czernin J., Rapoport S.I., Pietrini P., Alexander G.E., Schapiro M.B., Jagust W.J., Hoffman J.M., Welsh-Bohmer K.A., Alavi A., Clark C.M., Salmon E., de Leon M.J., Mielke R., Cummings J.L., Kowell A.P., Gambhir S.S., Hoh C.K., Phelps M.E. Positron emission tomography in evaluation of dementia: regional brain metabolism and long-term outcome. JAMA 2001, 286:2120-2127.
36. Van Laere K., Koole M., Versijpt J., Vandenberghe S., Brans B., D'Asseler Y., De Winter O., Kalmar A., Dierckx R. Transfer of normal 99mTc-ECD brain SPET databases between different gamma cameras. Eur. J. Nucl. Med. 2001, 28:435-449.
37. Vemuri P., Simon G., Kantarci K., Whitwell J.L., Senjem M.L., Przybelski S.A., Gunter J.L., Josephs K.A., Knopman D.S., Boeve B.F., Ferman T.J., Dickson D.W., Parisi J.E., Petersen R.C., Jack C.R. Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND. NeuroImage 2011, 55:522-531.
38. Vemuri P., Whitwell J.L., Kantarci K., Josephs K.A., Parisi J.E., Shiung M.S., Knopman D.S., Boeve B.F., Petersen R.C., Dickson D.W., Jack C.R. Antemortem MRI based STructural Abnormality iNDex (STAND)-scores correlate with postmortem Braak neurofibrillary tangle stage. NeuroImage 2008, 42:559-567.
39. Wenzel F., Young S., Thiele F., Wilke F., Buchert R. Intensity scaling of brain FDG PET scans: impact on voxel-based statistical testing. Eur. J. Nucl. Med. Mol. Imaging 2010, 37:308. (OP 620).
40. Wenzel F., Young S., Wilke F., Apostolova I., Arlt S., Jahn H., Thiele F., Buchert R. B-spline-based stereotactical normalization of brain FDG PET scans in suspected neurodegenerative disease: Impact on voxel-based statistical single-subject analysis. NeuroImage 2010, 50:994-1003.
41. Westman E., Simmons A., Zhang Y., Muehlboeck J.S., Tunnard C., Liu Y., Collins L., Evans A., Mecocci P., Vellas B., Tsolaki M., Kloszewska I., Soininen H., Lovestone S., Spenger C., Wahlund L.O. Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls. NeuroImage 2011, 54:1178-1187.
42. Womack K.B., Diaz-Arrastia R., Aizenstein H.J., Arnold S.E., Barbas N.R., Boeve B.F., Clark C.M., DeCarli C.S., Jagust W.J., Leverenz J.B., Peskind E.R., Turner R.S., Zamrini E.Y., Heidebrink J.L., Burke J.R., DeKosky S.T., Farlow M.R., Gabel M.J., Higdon R., Kawas C.H., Koeppe R.A., Lipton A.M., Foster N.L. Temporoparietal hypometabolism in frontotemporal lobar degeneration and associated imaging diagnostic errors. Arch. Neurol. 2011, 68:329-337.
43. Yakushev I., Hammers A., Fellgiebel A., Schmidtmann I., Scheurich A., Buchholz H.G., Peters J., Bartenstein P., Lieb K., Schreckenberger M. SPM-based count normalization provides excellent discrimination of mild Alzheimer's disease and amnestic mild cognitive impairment from healthy aging. NeuroImage 2009, 44:43-50.
44. Zadrozny B., Elkan C. Transforming classifier scores into accurate multiclass probability estimates. ACM SIGKDD international conference on knowledge discovery and data mining, Edmonton, Canada 2002, 694-699.