| Literature DB >> 31207467 |
Marco Battaglini1, Giordano Gentile1, Ludovico Luchetti1, Antonio Giorgio1, Hugo Vrenken2, Frederik Barkhof3, Keith S Cover4, Rohit Bakshi5, Renxin Chu5, Maria Pia Sormani6, Christian Enzinger7, Stefan Ropele8, Olga Ciccarelli9, Claudia Wheeler-Kingshott10, Marios Yiannakas11, Massimo Filippi12, Maria Assunta Rocca12, Paolo Preziosa12, Antonio Gallo13, Alvino Bisecco13, Jacqueline Palace14, Yazhuo Kong15, Dana Horakova16, Manuela Vaneckova17, Claudio Gasperini18, Serena Ruggieri18, Nicola De Stefano19.
Abstract
We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the deviation from the expected PBVC/y in patients with neurological disorders. We assessed multicenter (34 centers, 11 acquisition protocols) magnetic resonance imaging data of 720 healthy participants covering the whole adult lifespan (16-90 years). Data of 421 participants with a follow-up > 6 months were used to obtain the normative values for PBVC/y and data of 392 participants with a follow-up <1 month were selected to assess the intrasubject variability of the brain volume measurement. A mixed model evaluated PBVC/y dependence on age, sex, and magnetic resonance imaging parameters (scan vendor and magnetic field strength). PBVC/y was associated with age (p < 0.001), with 60- to 70-year-old participants showing twice more volume decrease than participants aged 30-40 years. PBVC/y was also associated with magnetic field strength, with higher decreases when measured by 1.5T than 3T scanners (p < 0.001). The variability of PBVC/y normative percentiles was narrower as the interscan interval was longer (e.g., 80th normative percentile was 50% smaller for participants with 2-year than with 1-year follow-up). The use of these normative data, eased by the freely available calculator, might help in better discriminating pathological from physiological conditions in the clinical setting.Entities:
Keywords: Aging; Atrophy; Brain volume; MRI; Normative data
Mesh:
Year: 2019 PMID: 31207467 DOI: 10.1016/j.neurobiolaging.2019.05.010
Source DB: PubMed Journal: Neurobiol Aging ISSN: 0197-4580 Impact factor: 4.673