Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Automated brain volumetry shows promise in improving the screening and monitoring of neurodegenerative diseases. However, the reliability of measurements across different scanners and software remains uncertain. This study assessed the reliability of gray matter, white matter, and total brain volume measurements from seven volumetry tools, using six scanners across two scanning sessions, performed within 2 h the same day, in twelve subjects. Generalised estimating equations models showed significant effects of both software and scanner on all measurements with stronger effect of software (p < 0.001). Percentage of coefficient of variation (CV) was calculated to measure scan-rescan reliability. Median CV across scanners of AssemblyNet and AIRAscore was less than 0.2% for grey and white matter, and 0.09% for total brain volume; while FreeSurfer, FastSurfer, syngo.via, SPM12, and Vol2Brain had a CV greater than 0.2%. In Bland-Altman analysis there was no systematic difference, but limits of agreement differed greatly between methods. Based on these findings, we recommend using the same scanner and software combination across sessions to ensure that observed changes in brain volume are reliable and clinically valuable.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354914 | PMC |
http://dx.doi.org/10.1038/s41598-025-15283-3 | DOI Listing |