Classification of Mild Cognitive Impairment and Alzheimer Disease Using Model-based MR and Magnetization Transfer Imaging

Overview

Journal AJNR Am J Neuroradiol

Specialty Neurology

Date 2012 Oct 16

PMID 23064592

Citations 7

Authors

R Wiest

Y Burren

M Hauf

G Schroth

J Pruessner

M Zbinden

K Cattapan-Ludewig

C Kiefer

Affiliations

Soon will be listed here.

Abstract

Background And Purpose: Early stratification of degenerative processes is a prerequisite to warrant therapeutic options in prodromal Alzheimer disease. Our aim was to investigate differences in cerebral macromolecular tissue composition between patients with AD, mild cognitive impairment, and age- and sex-matched healthy controls by using model-based magnetization transfer with a binary spin-bath magnetization transfer model and magnetization transfer ratio at 1.5 T.

Materials And Methods: We investigated patients with de novo AD (n=18), MCI (n=18), and CTRLs (n=18). A region-of-interest analysis of the entorhinal cortex, hippocampal head and body, insula, and temporal neocortex was performed with fuzzy clustering to associate every subregion to a cluster representative for each group.

Results: Cluster analysis achieved a concordance of 0.92 (50 of 54 subjects) between a combination of the calculated mMT parameters (kf,kr,T2r,F,T2f) in the entorhinal cortex and the neuropsychological diagnosis. The sensitivity and specificity for the discrimination of AD from MCI reached 1 and 0.94, with a positive predictive value of 0.95 and a negative predictive value of 1. Compared with mMT, the concordance for MTR was 0.83 (45 of 54 subjects) with a lower specificity of 0.5 and positive predictive value of 0.67 to discriminate patients with AD and MCI.

Conclusions: mMT imaging detects macromolecule-related alterations and allows an improved classification of patients with early AD and MCI compared with MTR.

Citing Articles

Saturation Transfer MRI for Detection of Metabolic and Microstructural Impairments Underlying Neurodegeneration in Alzheimer's Disease.

Orzylowska A, Oakden W Brain Sci. 2022; 12(1).

PMID: 35053797 PMC: 8773856. DOI: 10.3390/brainsci12010053.

Model-Based Magnetization Transfer Imaging Markers to Characterize Patients and Asymptomatic Gene Carriers in Huntington's Disease.

Wiest R, Burgunder J, Kiefer C Front Neurol. 2017; 8:465.

PMID: 28932207 PMC: 5592228. DOI: 10.3389/fneur.2017.00465.

Structural MR Imaging in the Diagnosis of Alzheimer's Disease and Other Neurodegenerative Dementia: Current Imaging Approach and Future Perspectives.

Park M, Moon W Korean J Radiol. 2016; 17(6):827-845.

PMID: 27833399 PMC: 5102911. DOI: 10.3348/kjr.2016.17.6.827.

Potential neuroimaging biomarkers of pathologic brain changes in Mild Cognitive Impairment and Alzheimer's disease: a systematic review.

Ruan Q, DOnofrio G, Sancarlo D, Bao Z, Greco A, Yu Z BMC Geriatr. 2016; 16:104.

PMID: 27184250 PMC: 4869390. DOI: 10.1186/s12877-016-0281-7.

Magnetization transfer ratio relates to cognitive impairment in normal elderly.

Seiler S, Pirpamer L, Hofer E, Duering M, Jouvent E, Fazekas F Front Aging Neurosci. 2014; 6:263.

PMID: 25309438 PMC: 4174770. DOI: 10.3389/fnagi.2014.00263.

References

Paajanen T, Hanninen T, Tunnard C, Mecocci P, Sobow T, Tsolaki M . CERAD neuropsychological battery total score in multinational mild cognitive impairment and control populations: the AddNeuroMed study. J Alzheimers Dis. 2010; 22(4):1089-97. DOI: 10.3233/JAD-2010-100459. View

Wilkosz P, Seltman H, Devlin B, Weamer E, Lopez O, DeKosky S . Trajectories of cognitive decline in Alzheimer's disease. Int Psychogeriatr. 2009; 22(2):281-90. PMC: 2834298. DOI: 10.1017/S1041610209991001. View

Teslic L, Hartmann B, Nelles O, Skrjanc I . Nonlinear system identification by Gustafson-Kessel fuzzy clustering and supervised local model network learning for the drug absorption spectra process. IEEE Trans Neural Netw. 2011; 22(12):1941-51. DOI: 10.1109/TNN.2011.2170093. View

Chincarini A, Bosco P, Calvini P, Gemme G, Esposito M, Olivieri C . Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease. Neuroimage. 2011; 58(2):469-80. DOI: 10.1016/j.neuroimage.2011.05.083. View

Walhovd K, Fjell A, Dale A, McEvoy L, Brewer J, Karow D . Multi-modal imaging predicts memory performance in normal aging and cognitive decline. Neurobiol Aging. 2008; 31(7):1107-21. PMC: 3947581. DOI: 10.1016/j.neurobiolaging.2008.08.013. View

Deichmann R, Adolf H, Noth U, Morrissey S, Schwarzbauer C, Haase A . Fast T2-mapping with snapshot flash imaging. Magn Reson Imaging. 1995; 13(4):633-9. DOI: 10.1016/0730-725x(95)00004-z. View

Braak H, Braak E . Morphological criteria for the recognition of Alzheimer's disease and the distribution pattern of cortical changes related to this disorder. Neurobiol Aging. 1994; 15(3):355-6; discussion 379-80. DOI: 10.1016/0197-4580(94)90032-9. View

Braak H, Thal D, Ghebremedhin E, Del Tredici K . Stages of the pathologic process in Alzheimer disease: age categories from 1 to 100 years. J Neuropathol Exp Neurol. 2011; 70(11):960-9. DOI: 10.1097/NEN.0b013e318232a379. View

Stranahan A, Mattson M . Selective vulnerability of neurons in layer II of the entorhinal cortex during aging and Alzheimer's disease. Neural Plast. 2011; 2010:108190. PMC: 3039218. DOI: 10.1155/2010/108190. View

10.

Stanisz G, Odrobina E, Pun J, Escaravage M, Graham S, Bronskill M . T1, T2 relaxation and magnetization transfer in tissue at 3T. Magn Reson Med. 2005; 54(3):507-12. DOI: 10.1002/mrm.20605. View

11.

Haase A . Snapshot FLASH MRI. Applications to T1, T2, and chemical-shift imaging. Magn Reson Med. 1990; 13(1):77-89. DOI: 10.1002/mrm.1910130109. View

12.

van der Flier W, van den Heuvel D, Weverling-Rijnsburger A, Bollen E, Westendorp R, van Buchem M . Magnetization transfer imaging in normal aging, mild cognitive impairment, and Alzheimer's disease. Ann Neurol. 2002; 52(1):62-7. DOI: 10.1002/ana.10244. View

13.

Kiefer C, Brockhaus L, Cattapan-Ludewig K, Ballinari P, Burren Y, Schroth G . Multi-parametric classification of Alzheimer's disease and mild cognitive impairment: the impact of quantitative magnetization transfer MR imaging. Neuroimage. 2009; 48(4):657-67. DOI: 10.1016/j.neuroimage.2009.07.005. View

14.

Mosconi L, Brys M, Glodzik-Sobanska L, De Santi S, Rusinek H, de Leon M . Early detection of Alzheimer's disease using neuroimaging. Exp Gerontol. 2006; 42(1-2):129-38. DOI: 10.1016/j.exger.2006.05.016. View

15.

Braak H, Braak E . Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991; 82(4):239-59. DOI: 10.1007/BF00308809. View

16.

MacFall J, Wehrli F, Breger R, Johnson G . Methodology for the measurement and analysis of relaxation times in proton imaging. Magn Reson Imaging. 1987; 5(3):209-20. DOI: 10.1016/0730-725x(87)90022-1. View

17.

McKhann G . Changing concepts of Alzheimer disease. JAMA. 2011; 305(23):2458-9. DOI: 10.1001/jama.2011.810. View

18.

Petersen R . Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004; 256(3):183-94. DOI: 10.1111/j.1365-2796.2004.01388.x. View

19.

Calvini P, Chincarini A, Gemme G, Penco M, Squarcia S, Nobili F . Automatic analysis of medial temporal lobe atrophy from structural MRIs for the early assessment of Alzheimer disease. Med Phys. 2009; 36(8):3737-47. PMC: 2724178. DOI: 10.1118/1.3171686. View

20.

Cuingnet R, Gerardin E, Tessieras J, Auzias G, Lehericy S, Habert M . Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database. Neuroimage. 2010; 56(2):766-81. DOI: 10.1016/j.neuroimage.2010.06.013. View