Abstract
| Original language | English |
|---|---|
| Article number | 101927 |
| Journal | NeuroImage Clin. |
| Volume | 23 |
| DOIs | |
| Publication status | Published - 2019 |
Keywords
- Alzheimer's disease
- Atrophy
- Frontotemporal dementia
- Magnetic resonance imaging
- amyloid beta protein[1-42]
- apolipoprotein E4
- tau protein
- adult
- aged
- Alzheimer disease
- Article
- brain atrophy
- brain size
- cerebrospinal fluid analysis
- comparative study
- controlled study
- cross-sectional study
- diagnostic accuracy
- diagnostic value
- female
- frontal variant frontotemporal dementia
- hippocampus
- human
- left hippocampus
- major clinical study
- male
- medial temporal lobe
- middle aged
- mild cognitive impairment
- Mini Mental State Examination
- neuroimaging
- nuclear magnetic resonance imaging
- onset age
- primary progressive aphasia
- priority journal
- quantitative analysis
- receiver operating characteristic
- retrospective study
- right hippocampus
- Sanger sequencing
- sensitivity and specificity
Fingerprint
Dive into the research topics of 'Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimer's disease patients: A comparison between visual and quantitative assessment: NeuroImage: Clinical'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimer's disease patients: A comparison between visual and quantitative assessment : NeuroImage: Clinical. / Falgàs, N.; Sánchez-Valle, R.; Bargalló, N.; Balasa, M.; Fernández-Villullas, G.; Bosch, B.; Olives, J.; Tort-Merino, A.; Antonell, A.; Muñoz-García, C.; León, M.; Grau, O.; Castellví, M.; Coll-Padrós, N.; Rami, L.; Redolfi, A.; Lladó, A.
In: NeuroImage Clin., Vol. 23, 101927, 2019.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimer's disease patients: A comparison between visual and quantitative assessment
T2 - NeuroImage: Clinical
AU - Falgàs, N.
AU - Sánchez-Valle, R.
AU - Bargalló, N.
AU - Balasa, M.
AU - Fernández-Villullas, G.
AU - Bosch, B.
AU - Olives, J.
AU - Tort-Merino, A.
AU - Antonell, A.
AU - Muñoz-García, C.
AU - León, M.
AU - Grau, O.
AU - Castellví, M.
AU - Coll-Padrós, N.
AU - Rami, L.
AU - Redolfi, A.
AU - Lladó, A.
N1 - Export Date: 10 February 2020 Correspondence Address: Lladó, A.; Alzheimer 's disease and other cognitive disorders unit, Neurology Service, Hospital Clínic Barcelona, C/Villarroel,170, Spain; email: allado@clinic.cat Tradenames: Magnetom Trio, Siemens, Germany Manufacturers: Siemens, Germany Funding details: PI14/00282 Funding details: Departament de Salut, Generalitat de Catalunya, SLT002/16/00408 Funding details: Departament de Salut, Generalitat de Catalunya, PERIS 2016–2020 SLT002/16/00329 Funding details: European Regional Development Fund, FEDER Funding details: Generalitat de Catalunya Funding details: Fundació la Marató de TV3, 20143810, TV3 Funding text 1: This work was supported by Spanish Ministry of Economy and Compititiveness-Instituto de Salud Carlos III and Fondo Europeo de Desarrollo Regional (FEDER), Unión Europea , “Una manera de hacer Europa” [ PI14/00282 to Dr. A. Lladó], PERIS 2016–2020 Departament de Salut de la Generalitat de Catalunya [ SLT002/16/00408 to Dr. Sanchez-Valle] and Fundació Marató de TV3 , Barcelona, Spain [Grant 20143810 to Dr. Sanchez-Valle] and CERCA Programme/Generalitat de Catalunya . Dr. Neus Falgàs received funding from Hospital Clinic Barcelona [Ajut Josep Font]. Dr. Anna Antonell received funding from Departament de Salut de la Generalitat de Catalunya [PERIS 2016–2020 SLT002/16/00329 ]. References: Albert, M.S., DeKosky, S.T., Dickson, D., The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease (2011) Alzheimers Dement., 7, pp. 270-279; Apostolova, L.G., Dinov, I.D., Dutton, R.A., 3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease (2006) Brain, 129, pp. 2867-2873. , (Pt 11). Nov; Balasa, M., Gelpi, E., Antonell, A., Neurological tissue Bank/University of Barcelona/Hospital Clínic NTB/UB/HC collaborative group. Clinical features and APOE genotype of pathologically proven early-onset Alzheimer disease (2011) Neurol., 76 (20), pp. 1720-1725. , May 17; Balasa, M., Sanchez-Valle, R., Antonell, A., Usefulness of biomarkers in the diagnosis and prognosis of early-onset cognitive impairment (2014) J. of Alzheimer's Dis: JAD, 40, pp. 919-927; Beach, T.G., Monsell, S.E., Phillips, L.E., Kukull, W., Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005-2010 (2012) J. Neuropathol. Exp. Neurol., 71 (4), pp. 266-273. , Apr; Bosco, P., Redolfi, A., Bocchetta, M., The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: a European Alzheimer's disease consortium study (2017) Alzheimers Dement., 13 (9), pp. 1013-1023. , Sep; Buckner, R.L., Head, D., Parker, J., A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume (2004) Neuroimage., 23 (2), pp. 724-738. , Oct; Cavedo, E., Pievani, M., Boccardi, M., Medial temporal atrophy in early and late-onset Alzheimer's disease (2014) Neurobiol. Aging, 35 (9), pp. 2004-2012. , Sep; Claus, J.J., Staekenborg, S.S., Holl, D.C., Practical use of visual medial temporal lobe atrophy cut-off scores in Alzheimer's disease: validation in a large memory clinic population (2017) Eur. Radiol., 27 (8), pp. 3147-3155. , Aug; Consensus report of the Working Group on: “Molecular and Biochemical Markers of Alzheimer's Disease”, The Ronald and Nancy Reagan Research Institute of the Alzheimer's Association and the National Institute on Aging Working Group (1998) Neurobiol. Aging, 19 (2), pp. 109-116. , Mar-Apr. (Review. Erratum in: Neurobiol Aging 1998 May-Jun;19(3):285); Cover, K.S., van Schijndel, R.A., Versteeg, A., Alzheimer's disease neuroimaging initiative, neuGRID. Reproducibility of hippocampal atrophy rates measured with manual,FreeSurfer, AdaBoost, FSL/FIRST and the MAPS-HBSI methods in Alzheimer's disease (2016) Psychiatry Res., 252, pp. 26-35. , Jun 30; Cuingnet, R., Gerardin, E., Tessieras, J., Alzheimer's disease neuroimaging initiative. Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database (2011) Neuroimage, 56 (2), pp. 766-781. , May 15; Dhikav, V., Duraiswamy, S., Anand, K.S., Correlation between hippocampal volumes and medial temporal lobe atrophy in patients with Alzheimer's disease (2017) Ann. Indian Acad. Neurol., 20 (1), pp. 29-35. , Jan-Mar; Duara, R., Loewenstein, D.A., Shen, Q., The utility of age-specific cut-offs for visual rating of medial temporal atrophy in classifying Alzheimer's disease, MCI and cognitively normal elderly subjects (2013) Front. Aging Neurosci., 18 (5), p. 47. , Sep; Ferreira, D., Cavallin, L., Larsson, E.M., AddNeuroMed consortium and the Alzheimer's disease neuroimaging initiative. Practical cut-offs for visual rating scales of medial temporal, frontal and posterior atrophy in Alzheimer's disease and mild cognitive impairment (2015) J. Intern. Med., 278 (3), pp. 277-290. , Sep; Fischl, B., Salat, D.H., Busa, E., Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain (2002) Neuron, 33 (3), pp. 341-355. , Jan 31; Fischl, B., Salat, D.H., van der Kouwe, A.J., Sequence-independent segmentation of magnetic resonance images (2004) Neuroimage, 23, pp. S69-S84; Garre-Olmo, J., Genís Batlle, D., del Mar Fernández, M., Registry of dementia of Girona study group (ReDeGi study group). Incidence and subtypes of early-onset dementia in a geographically defined general population (2010) Neurol., 75 (14), pp. 1249-1255. , Oct 5; Gorno-Tempini, M.L., Hillis, A.E., Weintraub, S., Classification of primary progressive aphasia and its variants (2011) Neurol., 76, pp. 1006-1014; Harper, L., Fumagalli, G.G., Barkhof, F., MRI visual rating scales in the diagnosis of dementia: evaluation in 184 post-mortem confirmed cases (2016) Brain, 139, pp. 1211-1225. , (Pt 4). Apr; Heo, J.H., Kim, M.K., Lee, J.H., Lee, J.H., Usefulness of medial temporal lobe atrophy visual rating scale in detecting Alzheimer's disease: preliminary study (2013) Ann. Indian Acad. Neurol., 16 (3), pp. 384-387. , Jul; Hornberger, M., Wong, S., Tan, R., In vivo and post-mortem memory circuit integrity in frontotemporal dementia and Alzheimer's disease (2012) Brain, 135, pp. 3015-3025. , Pt 10. Oct; Koedam, E.L., Lauffer, V., van der Vlies, A.E., van der Flier, W.M., Scheltens, P., Pijnenburg, Y.A., Early-versus late-onset Alzheimer's disease: more than age alone (2010) J. Alzheimers Dis., 19 (4), pp. 1401-1408; McKhann, G.M., Knopman, D.S., Chertkow, H., 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 (2011) Alzheimers Dement., 7, pp. 263-269; Mendez, M.F., The accurate diagnosis of early-onset dementia (2006) Int. J. Psychiatry Med., 36 (4), pp. 401-412. , (Review); Pereira, J.B., Cavallin, L., Spulber, G., AddNeuroMed consortium and for the Alzheimer's disease neuroimaging initiative. Influence of age, disease onset and ApoE4 on visual medial temporal lobe atrophy cut-offs (2014) J. Intern. Med., 275 (3), pp. 317-330. , Mar; Pfeffer, R.I., Kurosaki, T.T., Harrah, C.H., Chance, J.M., Filos, S., Measurement of functional activities in older adults in the community (1982) J. Gerontol., 37, pp. 323-329; Phillips, J.S., Da Re, F., Dratch, L., Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer's disease (2018) Neurobiol. Aging, 63, pp. 75-87. , Mar; Rascovsky, K., Hodges, J.R., Knopman, D., Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia (2011) Brain, 134, pp. 2456-2477; Redolfi, A., Bosco, P., Manset, D., Frisoni, G.B., neuGRID consortium, Brain investigation and brain conceptualization (2013) Funct. Neurol., 28 (3), pp. 175-190. , Jul-Sep; Redolfi, A., Manset, D., Barkhof, F., neuGRID consortium, for the Alzheimer's disease neuroimaging initiative. Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study (2015) PLoS One, 10 (3). , Mar 17; Reuter, M., Schmansky, N.J., Rosas, H.D., Fischl, B., Within-subject template estimation for unbiased longitudinal image analysis (2012) Neuroimage, 61 (4), pp. 1402-1418. , Jul 16; Ridha, B.H., Barnes, J., van de Pol, L.A., Application of automated medial temporal lobe atrophy scale to Alzheimer disease (2007) Arch. Neurol., 64 (6), pp. 849-854. , Jun; Sarazin, M., Chauviré, V., Gerardin, E., The amnestic syndrome of hippocampal type in Alzheimer's disease: an MRI study (2010) J. Alzheimers Dis., 22 (1), pp. 285-294; Scheltens Ph, L.D., Barkhof, F., Atrophy of medial temporal lobes on MRI in “probable” Alzheimer's disease and normal aging: diagnostic value and neuropsychological correlates (1992) J. Neurol. Neurosurg. Psychiatry, 55, pp. 967-972; Shen, Q., Loewenstein, D.A., Potter, E., Volumetric and visual rating of magnetic resonance imaging scans in the diagnosis of amnestic mild cognitive impairment and Alzheimer's disease (2011) Alzheimers Dement., 7 (4), pp. e101-e108. , Jul; Van de Pol, L.A., Scheltens, P., Medial temporal lobe atrophy scores translated to clinical practice: editorial comment on influence of age, disease onset and ApoE4 on visual medial temporal lobe atrophy cut-offs (2014) J. Intern. Med., 275 (3), pp. 331-333. , Mar; Van de Pol, L.A., Hensel, A., van der Flier, W.M., Hippocampal atrophy on MRI in frontotemporal lobar degeneration and Alzheimer's disease (2006) J. Neurol. Neurosurg. Psychiatry, 77 (4), pp. 439-442. , Apr; Varon, D., Barker, W., Loewenstein, D., Alzheimer's disease neuroimaging initiative. Visual rating and volumetric measurement of medial temporal atrophy in the Alzheimer's disease neuroimaging initiative (ADNI) cohort: baseline diagnosis and the prediction of MCI outcome (2015) Int J Geriatr Psychiatry., 30 (2), pp. 192-200. , Feb; Wahlund, L.O., Julin, P., Johansson, S.E., Scheltens, P., Visual rating and volumetry of the medial temporal lobe on magnetic resonance imaging in dementia: a comparative study (2000) J. Neurol. Neurosurg. Psychiatry, 69 (5), pp. 630-635. , Nov
PY - 2019
Y1 - 2019
N2 - NIA-AA diagnostic criteria include volumetric or visual rating measures of hippocampal atrophy (HA) as a diagnostic biomarker of Alzheimer's disease (AD). We aimed to determine its utility as a diagnostic biomarker for early onset Alzheimer's disease (EOAD) by assessing Medial Temporal Atrophy (MTA) and hippocampal volume (HV) determination. MTA score and HV quantified by FreeSurfer were assessed in 140 (aged ≤65) subjects with biomarker supported diagnosis: 38 amnesic (A-EOAD), 20 non-amnesic (NA-EOAD), 30 late onset AD (LOAD), 20 fronto-temporal dementia (FTD) and 32 healthy controls (HC). The results showed that the proportion of MTA ≥ 1.5 was higher on LOAD and FTD than EOAD and HC but none of the MTA thresholds (≥1, ≥1.5 and ≥ 2) showed acceptable diagnostic accuracy. LOAD had lower HV than the other groups. A-EOAD HV was lower than NA-EOAD and HC but equal to FTD. The 6258 mm3 cut-off showed good diagnostic accuracy between A-EOAD and HC. Both tools showed a moderate inverse correlation. In conclusion, MTA has a limited diagnostic utility as an EOAD biomarker as it does not discriminate AD from FTD or HC in initial symptomatic stages. HV may discriminate A-EOAD from HC but not from FTD. © 2019 The Authors
AB - NIA-AA diagnostic criteria include volumetric or visual rating measures of hippocampal atrophy (HA) as a diagnostic biomarker of Alzheimer's disease (AD). We aimed to determine its utility as a diagnostic biomarker for early onset Alzheimer's disease (EOAD) by assessing Medial Temporal Atrophy (MTA) and hippocampal volume (HV) determination. MTA score and HV quantified by FreeSurfer were assessed in 140 (aged ≤65) subjects with biomarker supported diagnosis: 38 amnesic (A-EOAD), 20 non-amnesic (NA-EOAD), 30 late onset AD (LOAD), 20 fronto-temporal dementia (FTD) and 32 healthy controls (HC). The results showed that the proportion of MTA ≥ 1.5 was higher on LOAD and FTD than EOAD and HC but none of the MTA thresholds (≥1, ≥1.5 and ≥ 2) showed acceptable diagnostic accuracy. LOAD had lower HV than the other groups. A-EOAD HV was lower than NA-EOAD and HC but equal to FTD. The 6258 mm3 cut-off showed good diagnostic accuracy between A-EOAD and HC. Both tools showed a moderate inverse correlation. In conclusion, MTA has a limited diagnostic utility as an EOAD biomarker as it does not discriminate AD from FTD or HC in initial symptomatic stages. HV may discriminate A-EOAD from HC but not from FTD. © 2019 The Authors
KW - Alzheimer's disease
KW - Atrophy
KW - Frontotemporal dementia
KW - Magnetic resonance imaging
KW - amyloid beta protein[1-42]
KW - apolipoprotein E4
KW - tau protein
KW - adult
KW - aged
KW - Alzheimer disease
KW - Article
KW - brain atrophy
KW - brain size
KW - cerebrospinal fluid analysis
KW - comparative study
KW - controlled study
KW - cross-sectional study
KW - diagnostic accuracy
KW - diagnostic value
KW - female
KW - frontal variant frontotemporal dementia
KW - hippocampus
KW - human
KW - left hippocampus
KW - major clinical study
KW - male
KW - medial temporal lobe
KW - middle aged
KW - mild cognitive impairment
KW - Mini Mental State Examination
KW - neuroimaging
KW - nuclear magnetic resonance imaging
KW - onset age
KW - primary progressive aphasia
KW - priority journal
KW - quantitative analysis
KW - receiver operating characteristic
KW - retrospective study
KW - right hippocampus
KW - Sanger sequencing
KW - sensitivity and specificity
U2 - 10.1016/j.nicl.2019.101927
DO - 10.1016/j.nicl.2019.101927
M3 - Article
VL - 23
JO - NeuroImage Clin.
JF - NeuroImage Clin.
SN - 2213-1582
M1 - 101927
ER -