Diagnostic Utility of Measuring Cerebral Atrophy in the Behavioral Variant of Frontotemporal Dementia and Association With Clinical Deterioration.
Journal
JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235
Informations de publication
Date de publication:
01 03 2021
01 03 2021
Historique:
entrez:
11
3
2021
pubmed:
12
3
2021
medline:
22
6
2021
Statut:
epublish
Résumé
The presence of atrophy on magnetic resonance imaging can support the diagnosis of the behavioral variant of frontotemporal dementia (bvFTD), but reproducible measurements are lacking. To assess the diagnostic and prognostic utility of 6 visual atrophy scales (VAS) and the Magnetic Resonance Parkinsonism Index (MRPI). In this diagnostic/prognostic study, data from 235 patients with bvFTD and 225 age- and magnetic resonance imaging-matched control individuals from 3 centers were collected from December 1, 1998, to September 30, 2019. One hundred twenty-one participants with bvFTD had high confidence of frontotemporal lobar degeneration (FTLD) (bvFTD-HC), and 19 had low confidence of FTLD (bvFTD-LC). Blinded clinicians applied 6 previously validated VAS, and the MRPI was calculated with a fully automated approach. Cortical thickness and subcortical volumes were also measured for comparison. Data were analyzed from February 1 to June 30, 2020. The main outcomes of this study were bvFTD-HC or a neuropathological diagnosis of 4-repeat (4R) tauopathy and the clinical deterioration rate (assessed by longitudinal measurements of Clinical Dementia Rating Sum of Boxes). Measures of cerebral atrophy included VAS scores, the bvFTD atrophy score (sum of VAS scores in orbitofrontal, anterior cingulate, anterior temporal, medial temporal lobe, and frontal insula regions), the MRPI, and other computerized quantifications of cortical and subcortical volumes. The areas under the receiver operating characteristic curve (AUROC) were calculated for the differentiation of participants with bvFTD-HC and bvFTD-LC and controls. Linear mixed models were used to evaluate the ability of atrophy measures to estimate longitudinal clinical deterioration. Of the 460 included participants, 296 (64.3%) were men, and the mean (SD) age was 62.6 (11.4) years. The accuracy of the bvFTD atrophy score for the differentiation of bvFTD-HC from controls (AUROC, 0.930; 95% CI, 0.903-0.957) and bvFTD-HC from bvFTD-LC (AUROC, 0.880; 95% CI, 0.787-0.972) was comparable to computerized measures (AUROC, 0.973 [95% CI, 0.954-0.993] and 0.898 [95% CI, 0.834-0.962], respectively). The MRPI was increased in patients with bvFTD and underlying 4R tauopathies compared with other FTLD subtypes (14.1 [2.0] vs 11.2 [2.6] points; P < .001). Higher bvFTD atrophy scores were associated with faster clinical deterioration in bvFTD (1.86-point change in Clinical Dementia Rating Sum of Boxes score per bvFTD atrophy score increase per year; 95% CI, 0.99-2.73; P < .001). Based on these study findings, in bvFTD, VAS increased the diagnostic certainty of underlying FTLD, and the MRPI showed potential for the detection of participants with underlying 4R tauopathies. These widely available measures of atrophy can also be useful to estimate longitudinal clinical deterioration.
Identifiants
pubmed: 33704477
pii: 2777404
doi: 10.1001/jamanetworkopen.2021.1290
pmc: PMC7953307
doi:
Types de publication
Journal Article
Multicenter Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e211290Subventions
Organisme : NIA NIH HHS
ID : K24 AG045333
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG019724
Pays : United States
Organisme : NIA NIH HHS
ID : K08 AG052648
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG059794
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG055121
Pays : United States
Organisme : NIA NIH HHS
ID : K24 AG053435
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG062758
Pays : United States
Références
Neuropathol Appl Neurobiol. 2015 Dec;41(7):882-92
pubmed: 25381753
Brain. 2011 Sep;134(Pt 9):2456-77
pubmed: 21810890
Neurology. 2016 Sep 20;87(12):1266-73
pubmed: 27558375
J Neurol Neurosurg Psychiatry. 2016 Jan;87(1):64-8
pubmed: 25618904
Dement Geriatr Cogn Disord. 2007;23(5):334-42
pubmed: 17374952
Neurology. 1994 Dec;44(12):2308-14
pubmed: 7991117
Neuroimage Clin. 2016 May 30;11:802-812
pubmed: 28050342
Alzheimer Dis Assoc Disord. 2008 Oct-Dec;22(4):327-35
pubmed: 18695590
Brain. 2017 Dec 1;140(12):3329-3345
pubmed: 29053860
Neurology. 1993 Nov;43(11):2412-4
pubmed: 8232972
Neurology. 2009 Sep 29;73(13):1073-4
pubmed: 19786700
J Neurol Neurosurg Psychiatry. 2012 Apr;83(4):358-64
pubmed: 22399793
Mov Disord. 2017 Jun;32(6):853-864
pubmed: 28467028
J Neurol Neurosurg Psychiatry. 1992 Oct;55(10):967-72
pubmed: 1431963
Neurology. 1996 Jul;47(1):1-9
pubmed: 8710059
JAMA Neurol. 2016 Sep 1;73(9):1078-88
pubmed: 27429218
J Psychiatr Res. 1975 Nov;12(3):189-98
pubmed: 1202204
Neurology. 2018 Jan 23;90(4):e273-e281
pubmed: 29282336
Brain. 2020 Jun 1;143(6):1632-1650
pubmed: 32129844
Neuroimage Clin. 2018;20:685-696
pubmed: 30218900
Neurology. 2016 Feb 16;86(7):600-10
pubmed: 26802093
Brain. 2005 Sep;128(Pt 9):1996-2005
pubmed: 16033782
Neurology. 2013 Jan 29;80(5):496-503
pubmed: 23359374
Amyotroph Lateral Scler Other Motor Neuron Disord. 2000 Dec;1(5):293-9
pubmed: 11464847
Eur Radiol. 2017 Jun;27(6):2665-2675
pubmed: 27761709
Mov Disord. 2020 Jun;35(6):976-983
pubmed: 32092195
Ann Clin Transl Neurol. 2019 Dec;6(12):2518-2530
pubmed: 31789459
Neurology. 2017 Aug 8;89(6):570-577
pubmed: 28701492
Alzheimers Dement (N Y). 2019 Oct 14;5:597-609
pubmed: 31650016
Eur Radiol. 2011 Dec;21(12):2618-25
pubmed: 21805370
Brain. 2019 Apr 1;142(4):1121-1133
pubmed: 30906945
Nat Rev Neurol. 2017 Aug;13(8):457-476
pubmed: 28708131
J Neuroimaging. 2018 Sep;28(5):515-523
pubmed: 29766613
Lancet Neurol. 2017 Jul;16(7):552-563
pubmed: 28653647
Lancet Neurol. 2007 Nov;6(11):1004-14
pubmed: 17945154
Arch Neurol. 2006 Nov;63(11):1627-31
pubmed: 17101833
Brain. 2019 Feb 1;142(2):443-459
pubmed: 30698757
Brain. 2009 Nov;132(Pt 11):2932-46
pubmed: 19762452
Biometrics. 1988 Sep;44(3):837-45
pubmed: 3203132
Neuroimage. 2013 Jan 15;65:336-48
pubmed: 23041529
JAMA Neurol. 2015 Dec;72(12):1501-9
pubmed: 26501846
Neuroimage Clin. 2016 Apr 10;11:595-605
pubmed: 27222795
Brain. 2016 Apr;139(Pt 4):1211-25
pubmed: 26936938