Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2024 Apr 27;60(5):727.
doi: 10.3390/medicina60050727.

Comparison of Inter-Method Agreement and Reliability for Automatic Brain Volumetry Using Three Different Clinically Available Software Packages

Affiliations
Comparative Study

Comparison of Inter-Method Agreement and Reliability for Automatic Brain Volumetry Using Three Different Clinically Available Software Packages

Kwang Ho Choi et al. Medicina (Kaunas). .

Abstract

Background and Objectives: No comparative study has evaluated the inter-method agreement and reliability between Heuron AD and other clinically available brain volumetric software packages. Hence, we aimed to investigate the inter-method agreement and reliability of three clinically available brain volumetric software packages: FreeSurfer (FS), NeuroQuant® (NQ), and Heuron AD (HAD). Materials and Methods: In this study, we retrospectively included 78 patients who underwent conventional three-dimensional (3D) T1-weighed imaging (T1WI) to evaluate their memory impairment, including 21 with normal objective cognitive function, 24 with mild cognitive impairment, and 33 with Alzheimer's disease (AD). All 3D T1WI scans were analyzed using three different volumetric software packages. Repeated-measures analysis of variance, intraclass correlation coefficient, effect size measurements, and Bland-Altman analysis were used to evaluate the inter-method agreement and reliability. Results: The measured volumes demonstrated substantial to almost perfect agreement for most brain regions bilaterally, except for the bilateral globi pallidi. However, the volumes measured using the three software packages showed significant mean differences for most brain regions, with consistent systematic biases and wide limits of agreement in the Bland-Altman analyses. The pallidum showed the largest effect size in the comparisons between NQ and FS (5.20-6.93) and between NQ and HAD (2.01-6.17), while the cortical gray matter showed the largest effect size in the comparisons between FS and HAD (0.79-1.91). These differences and variations between the software packages were also observed in the subset analyses of 45 patients without AD and 33 patients with AD. Conclusions: Despite their favorable reliability, the software-based brain volume measurements showed significant differences and systematic biases in most regions. Thus, these volumetric measurements should be interpreted based on the type of volumetric software used, particularly for smaller structures. Moreover, users should consider the replaceability-related limitations when using these packages in real-world practice.

Keywords: Freesurfer; Heuron AD; NeuroQuant; brain volumetry; memory deficits; reliability.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Representative color-coded axial MR images at the level of the basal ganglia. An axial T1-weighted image (A) is shown at the basal ganglia level with color-coded images of the FS, NQ, and HAD. In these representative images, the pallidum appears smaller in NQ (C) than in FS (B) or HAD (D). The pallidum is indicated with asterisks. FS, FreeSurfer; HAD, Heuron AD; NQ, NeuroQuant.

Similar articles

References

    1. Giorgio A., De Stefano N. Clinical use of brain volumetry. J. Magn. Reson. Imaging. 2013;37:1–14. doi: 10.1002/jmri.23671. - DOI - PubMed
    1. Brewer J.B., Magda S., Airriess C., Smith M.E. Fully-Automated Quantification of Regional Brain Volumes for Improved Detection of Focal Atrophy in Alzheimer Disease. Am. J. Neuroradiol. 2009;30:578. doi: 10.3174/ajnr.A1402. - DOI - PMC - PubMed
    1. Song H., Lee S.A., Jo S.W., Chang S.-K., Lim Y., Yoo Y.S., Kim J.H., Choi S.H., Sohn C.-H. Agreement and Reliability between Clinically Available Software Programs in Measuring Volumes and Normative Percentiles of Segmented Brain Regions. Korean J. Radiol. 2022;23:959–975. doi: 10.3348/kjr.2022.0067. - DOI - PMC - PubMed
    1. Reid M.W., Hannemann N.P., York G.E., Ritter J.L., Kini J.A., Lewis J.D., Sherman P.M., Velez C.S., Drennon A.M., Bolzenius J.D., et al. Comparing two processing pipelines to measure subcortical and cortical volumes in patients with and without mild traumatic brain injury. J. Neuroimaging. 2017;27:365–371. doi: 10.1111/jon.12431. - DOI - PubMed
    1. Ochs A.L., Ross D.E., Zannoni M.D., Abildskov T.J., Bigler E.D., Alzheimer’s Disease Neuroimaging Initiative Comparison of automated brain volume measures obtained with NeuroQuant® and FreeSurfer. J. Neuroimaging. 2015;25:721–727. doi: 10.1111/jon.12229. - DOI - PubMed

Publication types

LinkOut - more resources