Volume-based bias in automated measurements of lateral ventricle and hippocampal volumes of mild traumatic brain injury patients

Lateral ventricle and hippocampal volume are clinical indicators for many disorders. Manual tracing is time-consuming; the alternative, automated tracing, may be inconsistent across software programs. The purpose was to estimate the reliability of three automated measuring programs relative to manual tracing, and to consider the use of linear inter-conversion factors. Participants with mild traumatic brain injury (mTBI) were measured for lateral ventricle volume (LVV; n = 20; 35% male; mean age = 36.5) or hippocampal volume (HV; n = 50; 42% male; mean age = 39.1). Axial 4 mm T2 images and 1.2 mm coronal T1 Images were used for manual lateral ventricle tracings and hippocampal tracings, respectively (InteleViewer®). 3T MR images 1.2 mm sagittal T1 sequences were used for automated volumetric tracings in NeuroQuant® v3.0, FreeSurfer® v6, and volBrain software. Reliability was estimated by intraclass correlation coefficients (ICCs), and relationships between software programs were described using regression equations. Human inter-rater reliability was excellent (ICC = 0.99) for LVV and moderate (0.67) for HV. For LVV, software programs had excellent consistency with manual tracing and with each other (≥0.97). There was excellent agreement between manual tracing and NeuroQuant® (0.97), but moderate-good agreement (0.54-0.87) with FreeSurfer® or VolBrain, with notably size-biased underestimation of LVV. For HV, FreeSurfer® and VolBrain had excellent consistency with manual tracing (≥0.90); NeuroQuant® had moderate-good consistency with other methods (0.57-0.79). FreeSurfer® had excellent agreement with manual tracing (0.91), but poor-good agreement with other software (0.42-0.78). Compared to manual tracing, FreeSurfer® overestimated large HV, and volBrain underestimated small HV. Conversions involving HV may be ill-advised given their low consistency. Algorithms for brain volumetrics must be evaluated for distorting effects of size-associated bias.

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Publication Details

Journal
Neuroimage Reports
Published
2026-06-12
DOI
https://doi.org/10.1016/j.ynirp.2026.100361
Primary Topic
Traumatic Brain Injury Research
Type
article
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article

Volume-based bias in automated measurements of lateral ventricle and hippocampal volumes of mild traumatic brain injury patients

Eddie Shum, Enrico Fazzini, Cheryl Vanier, Leon Ma et al.
Neuroimage Reports
Traumatic Brain Injury Research
article

Volume-based bias in automated measurements of lateral ventricle and hippocampal volumes of mild traumatic brain injury patients

Eddie Shum, Enrico Fazzini, Cheryl Vanier, Leon Ma, Alan Rodriguez, Travis Snyder, Tapasya Surti, Deen Tar, Colin Brown, Justin Roy Sanchez, Sean Beaty, Amanda R. Hertzler, Meghana Dodda, Lauren Carter, Tracy J. Abildskov
article en

Abstract

Lateral ventricle and hippocampal volume are clinical indicators for many disorders. Manual tracing is time-consuming; the alternative, automated tracing, may be inconsistent across software programs. The purpose was to estimate the reliability of three automated measuring programs relative to manual tracing, and to consider the use of linear inter-conversion factors. Participants with mild traumatic brain injury (mTBI) were measured for lateral ventricle volume (LVV; n = 20; 35% male; mean age = 36.5) or hippocampal volume (HV; n = 50; 42% male; mean age = 39.1). Axial 4 mm T2 images and 1.2 mm coronal T1 Images were used for manual lateral ventricle tracings and hippocampal tracings, respectively (InteleViewer®). 3T MR images 1.2 mm sagittal T1 sequences were used for automated volumetric tracings in NeuroQuant® v3.0, FreeSurfer® v6, and volBrain software. Reliability was estimated by intraclass correlation coefficients (ICCs), and relationships between software programs were described using regression equations. Human inter-rater reliability was excellent (ICC = 0.99) for LVV and moderate (0.67) for HV. For LVV, software programs had excellent consistency with manual tracing and with each other (≥0.97). There was excellent agreement between manual tracing and NeuroQuant® (0.97), but moderate-good agreement (0.54-0.87) with FreeSurfer® or VolBrain, with notably size-biased underestimation of LVV. For HV, FreeSurfer® and VolBrain had excellent consistency with manual tracing (≥0.90); NeuroQuant® had moderate-good consistency with other methods (0.57-0.79). FreeSurfer® had excellent agreement with manual tracing (0.91), but poor-good agreement with other software (0.42-0.78). Compared to manual tracing, FreeSurfer® overestimated large HV, and volBrain underestimated small HV. Conversions involving HV may be ill-advised given their low consistency. Algorithms for brain volumetrics must be evaluated for distorting effects of size-associated bias.

Neuroimage ReportsVol. 6(3)
Scottsdale Community College (US), Loyola University Medical Center (US), University of Pittsburgh (US), University of Utah (US), HCA Healthcare (US), Riverside University Health System - Medical Center (US), Scottsdale Research Institute (United States) (US), IMGENEX India (India) (IN), Neurological Surgery (US), Touro University Nevada (US), The University of Texas Health Science Center at Houston (US)
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Openalex Percentile: Top 6%
Traumatic Brain Injury Research
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