PMID- 33466559
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210218
IS  - 2076-3425 (Print)
IS  - 2076-3425 (Electronic)
IS  - 2076-3425 (Linking)
VI  - 11
IP  - 1
DP  - 2021 Jan 5
TI  - Clinically Applicable Quantitative Magnetic Resonance Morphologic Measurements of 
      Grey Matter Changes in the Human Brain.
LID - 10.3390/brainsci11010055 [doi]
LID - 55
AB  - (1) Purpose: Quantitative magnetic resonance imaging (qMRI) measurements can be 
      used to sensitively estimate brain morphological alterations and may support 
      clinical diagnosis of neurodegenerative diseases (ND). We aimed to establish a 
      normative reference database for a clinical applicable quantitative MR 
      morphologic measurement on neurodegenerative changes in patients; (2) Methods: 
      Healthy subjects (HCs, n = 120) with an evenly distribution between 21 to 70 
      years and amyotrophic lateral sclerosis (ALS) patients (n = 11, mean age = 52.45 
      +/- 6.80 years), as an example of ND patients, underwent magnetic resonance imaging 
      (MRI) examinations under routine diagnostic conditions. Regional cortical 
      thickness (rCTh) in 68 regions of interest (ROIs) and subcortical grey matter 
      volume (SGMV) in 14 ROIs were determined from all subjects by using Computational 
      Anatomy Toolbox. Those derived from HCs were analyzed to determine age-related 
      differences and subsequently used as reference to estimate ALS-related 
      alterations; (3) Results: In HCs, the rCTh (in 49/68 regions) and the SGMV (in 
      9/14 regions) in elderly subjects were less than those in younger subjects and 
      exhibited negative linear correlations to age (p < 0.0007 for rCTh and p < 0.004 
      for SGMV). In comparison to age- and sex-matched HCs, the ALS patients revealed 
      significant decreases of rCTh in eight ROIs, majorly located in frontal and 
      temporal lobes; (4) Conclusion: The present study proves an overall grey matter 
      decline with normal ageing as reported previously. The provided reference may be 
      used for detection of grey matter alterations in neurodegenerative diseases that 
      are not apparent in standard MR scans, indicating the potential of using qMRI as 
      an add-on diagnostic tool in a clinical setting.
FAU - Fu, Tong
AU  - Fu T
AUID- ORCID: 0000-0002-0596-6408
AD  - Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical 
      School, 30625 Hannover, Germany.
FAU - Kobeleva, Xenia
AU  - Kobeleva X
AD  - Department of Neurology and Neurophysiology, Hannover Medical School, 30625 
      Hannover, Germany.
AD  - Department of Neurology, University of Bonn, 53127 Bonn, Germany.
FAU - Bronzlik, Paul
AU  - Bronzlik P
AD  - Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical 
      School, 30625 Hannover, Germany.
FAU - Nosel, Patrick
AU  - Nosel P
AD  - Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical 
      School, 30625 Hannover, Germany.
FAU - Dadak, Mete
AU  - Dadak M
AD  - Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical 
      School, 30625 Hannover, Germany.
FAU - Lanfermann, Heinrich
AU  - Lanfermann H
AD  - Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical 
      School, 30625 Hannover, Germany.
FAU - Petri, Susanne
AU  - Petri S
AD  - Department of Neurology and Neurophysiology, Hannover Medical School, 30625 
      Hannover, Germany.
FAU - Ding, Xiao-Qi
AU  - Ding XQ
AUID- ORCID: 0000-0002-7250-8327
AD  - Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical 
      School, 30625 Hannover, Germany.
LA  - eng
PT  - Journal Article
DEP - 20210105
PL  - Switzerland
TA  - Brain Sci
JT  - Brain sciences
JID - 101598646
PMC - PMC7824828
OTO - NOTNLM
OT  - ALS
OT  - CAT12 toolbox
OT  - clinically applicable qMRI brain grey matter measurement
OT  - healthy ageing brain grey matter
OT  - neurodegenerative disease diagnosis
COIS- The authors declare no conflict of interest.
EDAT- 2021/01/21 06:00
MHDA- 2021/01/21 06:01
PMCR- 2021/01/05
CRDT- 2021/01/20 01:06
PHST- 2020/11/20 00:00 [received]
PHST- 2020/12/18 00:00 [revised]
PHST- 2020/12/21 00:00 [accepted]
PHST- 2021/01/20 01:06 [entrez]
PHST- 2021/01/21 06:00 [pubmed]
PHST- 2021/01/21 06:01 [medline]
PHST- 2021/01/05 00:00 [pmc-release]
AID - brainsci11010055 [pii]
AID - brainsci-11-00055 [pii]
AID - 10.3390/brainsci11010055 [doi]
PST - epublish
SO  - Brain Sci. 2021 Jan 5;11(1):55. doi: 10.3390/brainsci11010055.