Literature DB >> 33990649

Combination of automated brain volumetry on MRI and quantitative tau deposition on THK-5351 PET to support diagnosis of Alzheimer's disease.

Minjae Kim1, Sang Joon Kim2, Ji Eun Park1, Jessica Yun1, Woo Hyun Shim1, Jungsu S Oh3, Minyoung Oh3, Jee Hoon Roh4, Sang Won Seo5, Seung Jun Oh3, Jae Seung Kim6.   

Abstract

Imaging biomarkers support the diagnosis of Alzheimer's disease (AD). We aimed to determine whether combining automated brain volumetry on MRI and quantitative measurement of tau deposition on [18F] THK-5351 PET can aid discrimination of AD spectrum. From a prospective database in an IRB-approved multicenter study (NCT02656498), 113 subjects (32 healthy control, 55 mild cognitive impairment, and 26 Alzheimer disease) with baseline structural MRI and [18F] THK-5351 PET were included. Cortical volumes were quantified from FDA-approved software for automated volumetric MRI analysis (NeuroQuant). Standardized uptake value ratio (SUVR) was calculated from tau PET images for 6 composite FreeSurfer-derived regions-of-interests approximating in vivo Braak stage (Braak ROIs). On volumetric MRI analysis, stepwise logistic regression analyses identified the cingulate isthmus and inferior parietal lobule as significant regions in discriminating AD from HC and MCI. The combined model incorporating automated volumes of selected brain regions on MRI (cingulate isthmus, inferior parietal lobule, hippocampus) and SUVRs of Braak ROIs on [18F] THK-5351 PET showed higher performance than SUVRs of Braak ROIs on [18F] THK-5351 PET in discriminating AD from HC (0.98 vs 0.88, P = 0.033) but not in discriminating AD from MCI (0.85 vs 0.79, P = 0.178). The combined model showed comparable performance to automated volumes of selected brain regions on MRI in discriminating AD from HC (0.98 vs 0.94, P = 0.094) and MCI (0.85 vs 0.78; P = 0.065).

Entities:  

Year:  2021        PMID: 33990649     DOI: 10.1038/s41598-021-89797-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  41 in total

1.  Medial temporal lobe atrophy predicts Alzheimer's disease in patients with minor cognitive impairment.

Authors:  P J Visser; F R J Verhey; P A M Hofman; P Scheltens; J Jolles
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-04       Impact factor: 10.154

2.  Visual assessment of medial temporal lobe atrophy on magnetic resonance imaging: interobserver reliability.

Authors:  P Scheltens; L J Launer; F Barkhof; H C Weinstein; W A van Gool
Journal:  J Neurol       Date:  1995-09       Impact factor: 4.849

3.  Qualitative assessment of cerebral atrophy on MRI: inter- and intra-observer reproducibility in dementia and normal aging.

Authors:  P Scheltens; F Pasquier; J G Weerts; F Barkhof; D Leys
Journal:  Eur Neurol       Date:  1997       Impact factor: 1.710

4.  Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis.

Authors:  Linda K McEvoy; Dominic Holland; Donald J Hagler; Christine Fennema-Notestine; James B Brewer; Anders M Dale
Journal:  Radiology       Date:  2011-04-06       Impact factor: 11.105

5.  Structural MRI biomarkers for preclinical and mild Alzheimer's disease.

Authors:  Christine Fennema-Notestine; Donald J Hagler; Linda K McEvoy; Adam S Fleisher; Elaine H Wu; David S Karow; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

6.  Temporoparietal MR imaging measures of atrophy in subjects with mild cognitive impairment that predict subsequent diagnosis of Alzheimer disease.

Authors:  R S Desikan; H J Cabral; B Fischl; C R G Guttmann; D Blacker; B T Hyman; M S Albert; R J Killiany
Journal:  AJNR Am J Neuroradiol       Date:  2008-12-26       Impact factor: 3.825

7.  Fully-automated quantification of regional brain volumes for improved detection of focal atrophy in Alzheimer disease.

Authors:  J B Brewer; S Magda; C Airriess; M E Smith
Journal:  AJNR Am J Neuroradiol       Date:  2008-12-26       Impact factor: 3.825

8.  Differential effects of aging and Alzheimer's disease on medial temporal lobe cortical thickness and surface area.

Authors:  Bradford C Dickerson; Eric Feczko; Jean C Augustinack; Jenni Pacheco; John C Morris; Bruce Fischl; Randy L Buckner
Journal:  Neurobiol Aging       Date:  2007-09-14       Impact factor: 4.673

Review 9.  PET approaches for diagnosis of dementia.

Authors:  K Ishii
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-14       Impact factor: 3.825

Review 10.  Science to practice: translating automated brain MRI volumetry in Alzheimer's disease from research to routine diagnostic use in the work-up of dementia.

Authors:  Bharath Gopal Rathakrishnan; P Murali Doraiswamy; Jeffrey R Petrella
Journal:  Front Neurol       Date:  2014-01-09       Impact factor: 4.003

View more
  3 in total

1.  Diagnostic performance of hippocampal volumetry in Alzheimer's disease or mild cognitive impairment: a meta-analysis.

Authors:  Ho Young Park; Chong Hyun Suh; Hwon Heo; Woo Hyun Shim; Sang Joon Kim
Journal:  Eur Radiol       Date:  2022-05-04       Impact factor: 7.034

Review 2.  Updated Review of the Evidence Supporting the Medical and Legal Use of NeuroQuant® and NeuroGage® in Patients With Traumatic Brain Injury.

Authors:  David E Ross; John Seabaugh; Jan M Seabaugh; Justis Barcelona; Daniel Seabaugh; Katherine Wright; Lee Norwind; Zachary King; Travis J Graham; Joseph Baker; Tanner Lewis
Journal:  Front Hum Neurosci       Date:  2022-04-08       Impact factor: 3.473

Review 3.  [Brain MRI-Based Artificial Intelligence Software in Patients with Neurodegenerative Diseases: Current Status].

Authors:  So Yeong Jeong; Chong Hyun Suh; Ho Young Park; Hwon Heo; Woo Hyun Shim; Sang Joon Kim
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2022-05-25
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.