References
- Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol 1991;82:239-259 https://doi.org/10.1007/BF00308809
- Scahill RI, Schott JM, Stevens JM, Rossor MN, Fox NC. Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI. Proc Natl Acad Sci U S A 2002;99:4703-4707 https://doi.org/10.1073/pnas.052587399
- Lehericy S, Baulac M, Chiras J, Pierot L, Martin N, Pillon B, et al. Amygdalohippocampal MR volume measurements in the early stages of Alzheimer disease. AJNR Am J Neuroradiol 1994;15:929-937
- Chan D, Fox NC, Scahill RI, Crum WR, Whitwell JL, Leschziner G, et al. Patterns of temporal lobe atrophy in semantic dementia and Alzheimer's disease. Ann Neurol 2001;49:433-442 https://doi.org/10.1002/ana.92
- Killiany RJ, Hyman BT, Gomez-Isla T, Moss MB, Kikinis R, Jolesz F, et al. MRI measures of entorhinal cortex vs hippocampus in preclinical AD. Neurology 2002;58:1188-1196 https://doi.org/10.1212/WNL.58.8.1188
- Fox NC, Scahill RI, Crum WR, Rossor MN. Correlation between rates of brain atrophy and cognitive decline in AD. Neurology 1999;52:1687-1689 https://doi.org/10.1212/WNL.52.8.1687
- Cardenas VA, Chao LL, Studholme C, Yaffe K, Miller BL, Madison C, et al. Brain atrophy associated with baseline and longitudinal measures of cognition. Neurobiol Aging 2011;32:572-580 https://doi.org/10.1016/j.neurobiolaging.2009.04.011
- Jack CR Jr. Alzheimer disease: new concepts on its neurobiology and the clinical role imaging will play. Radiology 2012;263:344-361 https://doi.org/10.1148/radiol.12110433
- Jack CR Jr, Albert MS, Knopman DS, McKhann GM, Sperling RA, Carrillo MC, et al. Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 2011;7:257-262 https://doi.org/10.1016/j.jalz.2011.03.004
- McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR Jr, Kawas CH, et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 2011;7:263-269 https://doi.org/10.1016/j.jalz.2011.03.005
- Johnson KA, Fox NC, Sperling RA, Klunk WE. Brain imaging in Alzheimer disease. Cold Spring Harb Perspect Med 2012;2:a006213
- Fischl B. FreeSurfer. Neuroimage 2012;62:774-781 https://doi.org/10.1016/j.neuroimage.2012.01.021
- Avants BB, Tustison NJ, Stauffer M, Song G, Wu B, Gee JC. The insight ToolKit image registration framework. Front Neuroinform 2014;8:44
- Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. FSL. Neuroimage 2012;62:782-790 https://doi.org/10.1016/j.neuroimage.2011.09.015
- Rebsamen M, Suter Y, Wiest R, Reyes M, Rummel C. Brain morphometry estimation: from hours to seconds using deep learning. Front Neurol 2020;11:244
- Park M, Moon WJ. Structural MR imaging in the diagnosis of Alzheimer's disease and other neurodegenerative dementia: current imaging approach and future perspectives. Korean J Radiol 2016;17:827-845 https://doi.org/10.3348/kjr.2016.17.6.827
- Brewer JB, Magda S, Airriess C, Smith ME. Fully-automated quantification of regional brain volumes for improved detection of focal atrophy in Alzheimer disease. AJNR Am J Neuroradiol 2009;30:578-580 https://doi.org/10.3174/ajnr.A1402
- Tanpitukpongse TP, Mazurowski MA, Ikhena J, Petrella JR; Alzheimer's Disease Neuroimaging Initiative. Predictive utility of marketed volumetric software tools in subjects at risk for Alzheimer disease: do regions outside the hippocampus matter? AJNR Am J Neuroradiol 2017;38:546-552 https://doi.org/10.3174/ajnr.A5061
- Storelli L, Rocca MA, Pagani E, Van Hecke W, Horsfield MA, De Stefano N, et al. Measurement of whole-brain and gray matter atrophy in multiple sclerosis: assessment with MR imaging. Radiology 2018;288:554-564 https://doi.org/10.1148/radiol.2018172468
- Lee JS, Kim C, Shin JH, Cho H, Shin DS, Kim N, et al. Machine learning-based individual assessment of cortical atrophy pattern in Alzheimer's disease spectrum: development of the classifier and longitudinal evaluation. Sci Rep 2018;8:4161
- Suh CH, Shim WH, Kim SJ, Roh JH, Lee JH, Kim MJ, et al. Development and validation of a deep learning-based automatic brain segmentation and classification algorithm for Alzheimer disease using 3D T1-weighted volumetric images. AJNR Am J Neuroradiol 2020;41:2227-2234 https://doi.org/10.3174/ajnr.A6848
- Wang C, Beadnall HN, Hatton SN, Bader G, Tomic D, Silva DG, et al. Automated brain volumetrics in multiple sclerosis: a step closer to clinical application. J Neurol Neurosurg Psychiatry 2016;87:754-757 https://doi.org/10.1136/jnnp-2015-312304
- Mueller SG, Weiner MW, Thal LJ, Petersen RC, Jack CR, Jagust W, et al. Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI). Alzheimers Dement 2005;1:55-66 https://doi.org/10.1016/j.jalz.2005.06.003
- Park JE, Han K, Sung YS, Chung MS, Koo HJ, Yoon HM, et al. Selection and reporting of statistical methods to assess reliability of a diagnostic test: conformity to recommended methods in a peer-reviewed journal. Korean J Radiol 2017;18:888-897 https://doi.org/10.3348/kjr.2017.18.6.888
- Olejnik S, Algina J. Measures of effect size for comparative studies: applications, interpretations, and limitations. Contemp Educ Psychol 2000;25:241-286 https://doi.org/10.1006/ceps.2000.1040
- Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016;15:155-163 https://doi.org/10.1016/j.jcm.2016.02.012
- Ochs AL, Ross DE, Zannoni MD, Abildskov TJ, Bigler ED; Alzheimer's Disease Neuroimaging Initiative. Comparison of automated brain volume measures obtained with NeuroQuant and FreeSurfer. J Neuroimaging 2015;25:721-727 https://doi.org/10.1111/jon.12229
- Nestor SM, Gibson E, Gao FQ, Kiss A, Black SE; Alzheimer's Disease Neuroimaging Initiative. A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer's disease. Neuroimage 2013;66:50-70 https://doi.org/10.1016/j.neuroimage.2012.10.081
- Madan CR, Kensinger EA. Test-retest reliability of brain morphology estimates. Brain Inform 2017;4:107-121 https://doi.org/10.1007/s40708-016-0060-4
- Yim Y, Lee JY, Oh SW, Chung MS, Park JE, Moon Y, et al. Comparison of automated brain volume measures by NeuroQuant vs. Freesurfer in patients with mild cognitive impairment: effect of slice thickness. Yonsei Med J 2021;62:255-261 https://doi.org/10.3349/ymj.2021.62.3.255
- Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002;33:341-355 https://doi.org/10.1016/S0896-6273(02)00569-X
- Kanda T, Nakai Y, Aoki S, Oba H, Toyoda K, Kitajima K, et al. Contribution of metals to brain MR signal intensity: review articles. Jpn J Radiol 2016;34:258-266 https://doi.org/10.1007/s11604-016-0532-8
- Lee H, Nakamura K, Narayanan S, Brown RA, Arnold DL; Alzheimer's Disease Neuroimaging Initiative. Estimating and accounting for the effect of MRI scanner changes on longitudinal whole-brain volume change measurements. Neuroimage 2019;184:555-565 https://doi.org/10.1016/j.neuroimage.2018.09.062
- Lee JY, Oh SW, Chung MS, Park JE, Moon Y, Jeon HJ, et al. Clinically available software for automatic brain volumetry: comparisons of volume measurements and validation of intermethod reliability. Korean J Radiol 2021;22:405-414 https://doi.org/10.3348/kjr.2020.0518
- Finkelsztejn A, Fragoso YD, Bastos EA, Duarte JA, Varela JS, Houbrechts R, et al. Intercontinental validation of brain volume measurements using MSmetrix. Neuroradiol J 2018;31:147-149 https://doi.org/10.1177/1971400917721521
- Vinke EJ, Huizinga W, Bergtholdt M, Adams HH, Steketee RME, Papma JM, et al. Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia. Neurobiol Aging 2019;84:9-16 https://doi.org/10.1016/j.neurobiolaging.2019.07.008
- Guenette JP, Stern RA, Tripodis Y, Chua AS, Schultz V, Sydnor VJ, et al. Automated versus manual segmentation of brain region volumes in former football players. Neuroimage Clin 2018;18:888-896 https://doi.org/10.1016/j.nicl.2018.03.026
- Morey RA, Petty CM, Xu Y, Hayes JP, Wagner HR 2nd, Lewis DV, et al. A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. Neuroimage 2009;45:855-866 https://doi.org/10.1016/j.neuroimage.2008.12.033
- Tae WS, Kim SS, Lee KU, Nam EC, Kim KW. Validation of hippocampal volumes measured using a manual method and two automated methods (FreeSurfer and IBASPM) in chronic major depressive disorder. Neuroradiology 2008;50:569-581 https://doi.org/10.1007/s00234-008-0383-9