3D quantitative synthetic MRI for assessing Alzheimer’s clinical syndrome, subjective cognitive impairment, and mild cognitive impairment

Scheltens P, De Strooper B, Kivipelto M et al (2021) Alzheimer’s disease. Lancet 397:1577–1590. https://doi.org/10.1016/S0140-6736(20)32205-4

Article  CAS  PubMed  PubMed Central  Google Scholar 

Klyucherev TO, Olszewski P, Shalimova AA et al (2022) Advances in the development of new biomarkers for Alzheimer’s disease. Transl Neurodegener 11:25. https://doi.org/10.1186/s40035-022-00296-z

Article  CAS  PubMed  PubMed Central  Google Scholar 

Villemagne VL, Burnham S, Bourgeat P et al (2013) Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer’s disease: a prospective cohort study. Lancet Neurol 12:357–367. https://doi.org/10.1016/S1474-4422(13)70044-9

Article  CAS  PubMed  Google Scholar 

Carré A, Klausner G, Edjlali M et al (2020) Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. Sci Rep 10:12340. https://doi.org/10.1038/s41598-020-69298-z

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gruber B, Froeling M, Leiner T, Klomp DWJ (2018) Rf coils: a practical guide for nonphysicists. J Magn Reson Imaging 48:590–604. https://doi.org/10.1002/jmri.26187

Article  PubMed  PubMed Central  Google Scholar 

Tang X, Cai F, Ding D-X et al (2018) Magnetic resonance imaging relaxation time in Alzheimer’s disease. Brain Res Bull 140:176–189. https://doi.org/10.1016/j.brainresbull.2018.05.004

Article  PubMed  Google Scholar 

Lou B, Jiang Y, Li C et al (2021) Quantitative analysis of synthetic magnetic resonance imaging in Alzheimer’s disease. Front Aging Neurosci 13:638731. https://doi.org/10.3389/fnagi.2021.638731

Article  PubMed  PubMed Central  Google Scholar 

Dawe RJ, Bennett DA, Schneider JA et al (2014) Ex vivo T2 relaxation: associations with age-related neuropathology and cognition. Neurobiol Aging 35:1549–1561. https://doi.org/10.1016/j.neurobiolaging.2014.01.144

Article  PubMed  PubMed Central  Google Scholar 

Raven EP, Lu PH, Tishler TA et al (2013) Increased iron levels and decreased tissue integrity in hippocampus of Alzheimer’s disease detected in vivo with magnetic resonance imaging. J Alzheimers Dis 37:127–136. https://doi.org/10.3233/JAD-130209

Article  CAS  PubMed  Google Scholar 

Luo Z, Zhuang X, Kumar D et al (2013) The correlation of hippocampal T2-mapping with neuropsychology test in patients with Alzheimer’s disease. PLoS One 8:e76203. https://doi.org/10.1371/journal.pone.0076203

Article  CAS  PubMed  PubMed Central  Google Scholar 

House MJ, St Pierre TG, McLean C (2008) 1.4T study of proton magnetic relaxation rates, iron concentrations, and plaque burden in Alzheimer’s disease and control postmortem brain tissue: proton magnetic relaxation rates in AD. Magn Reson Med 60:41–52. https://doi.org/10.1002/mrm.21586

Article  CAS  PubMed  Google Scholar 

Su L, Blamire AM, Watson R et al (2016) Cortical and subcortical changes in Alzheimer’s disease: a longitudinal and quantitative MRI study. Curr Alzheimer Res 13:534–544. https://doi.org/10.2174/1567205013666151116141416

Article  CAS  PubMed  Google Scholar 

Jara H, Sakai O, Farrher E et al (2022) Primary multiparametric quantitative brain MRI: state-of-the-art relaxometric and proton density mapping techniques. Radiology 305:5–18. https://doi.org/10.1148/radiol.211519

Article  PubMed  PubMed Central  Google Scholar 

Kvernby S, Warntjes MJB, Haraldsson H et al (2014) Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS. J Cardiovasc Magn Reson 16:102. https://doi.org/10.1186/s12968-014-0102-0

Article  PubMed  PubMed Central  Google Scholar 

Kvernby S, Warntjes M, Engvall J et al (2017) Clinical feasibility of 3D-QALAS - single breath-hold 3D myocardial T1- and T2-mapping. Magn Reson Imaging 38:13–20. https://doi.org/10.1016/j.mri.2016.12.014

Article  CAS  PubMed  Google Scholar 

Hagiwara A, Warntjes M, Hori M et al (2017) SyMRI of the brain: Rapid quantification of relaxation rates and proton density, with synthetic MRI, automatic brain segmentation, and myelin measurement. Invest Radiol 52:647–657. https://doi.org/10.1097/RLI.0000000000000365

Article  PubMed  PubMed Central  Google Scholar 

Fujita S, Hagiwara A, Takei N et al (2021) Accelerated isotropic multiparametric imaging by high spatial resolution 3D-QALAS with compressed sensing: A phantom, volunteer, and patient study: A phantom, volunteer, and patient study. Invest Radiol 56:292–300. https://doi.org/10.1097/RLI.0000000000000744

Article  CAS  PubMed  PubMed Central  Google Scholar 

Fujita S, Gagoski B, Hwang K-P et al (2024) Cross-vendor multiparametric mapping of the human brain using 3D-QALAS: a multicenter and multivendor study. Magn Reson Med 91:1863–1875. https://doi.org/10.1002/mrm.29939

Article  CAS  PubMed  Google Scholar 

Mitew S, Kirkcaldie MTK, Halliday GM et al (2010) Focal demyelination in Alzheimer’s disease and transgenic mouse models. Acta Neuropathol 119:567–577. https://doi.org/10.1007/s00401-010-0657-2

Article  CAS  PubMed  Google Scholar 

Warntjes M, Engström M, Tisell A, Lundberg P (2016) Modeling the presence of myelin and edema in the brain based on multi-parametric quantitative MRI. Front Neurol 7:16. https://doi.org/10.3389/fneur.2016.00016

Article  PubMed  PubMed Central  Google Scholar 

Ouellette R, Mangeat G, Polyak I et al (2020) Validation of rapid magnetic resonance myelin imaging in multiple sclerosis. Ann Neurol 87:710–724. https://doi.org/10.1002/ana.25705

Article  CAS  PubMed  Google Scholar 

Warntjes JBM, Persson A, Berge J, Zech W (2017) Myelin detection using rapid quantitative MR imaging correlated to macroscopically registered Luxol fast blue-stained brain specimens. AJNR Am J Neuroradiol 38:1096–1102. https://doi.org/10.3174/ajnr.A5168

Article  CAS  PubMed  PubMed Central  Google Scholar 

McKhann G, Drachman D, Folstein M et al (1984) 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. https://doi.org/10.1212/WNL.34.7.939

Article  CAS  PubMed  Google Scholar 

Jack CR Jr, Bennett DA, Blennow K et al (2018) NIA-AA research framework: toward a biological definition of Alzheimer’s disease. Alzheimers Dement 14:535–562. https://doi.org/10.1016/j.jalz.2018.02.018

Article  PubMed  PubMed Central  Google Scholar 

Petersen RC (2004) Mild cognitive impairment as a diagnostic entity. J Intern Med 256:183–194. https://doi.org/10.1111/j.1365-2796.2004.01388.x

Article  CAS  PubMed  Google Scholar 

Tangen GG, Engedal K, Bergland A et al (2014) Relationships between balance and cognition in patients with subjective cognitive impairment, mild cognitive impairment, and Alzheimer disease. Phys Ther 94:1123–1134. https://doi.org/10.2522/ptj.20130298

Article  PubMed  Google Scholar 

Fazekas F, Chawluk JB, Alavi A et al (1987) MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol 149:351–356. https://doi.org/10.2214/ajr.149.2.351

Article  CAS  PubMed  Google Scholar 

Desikan RS, Ségonne F, Fischl B et al (2006) An automated labeling system

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