Segmentation errors and intertest reliability in automated and manually traced hippocampal volumes

Autor: Benjamin H. Brinkmann, Hari Guragain, Daniel Kenney‐Jung, Jay Mandrekar, Robert E. Watson, Kirk M. Welker, Jeffrey W. Britton, Robert J. Witte
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Annals of Clinical and Translational Neurology, Vol 6, Iss 9, Pp 1807-1814 (2019)
Druh dokumentu: article
ISSN: 2328-9503
DOI: 10.1002/acn3.50885
Popis: Abstract Objective To rigorously compare automated atlas‐based and manual tracing hippocampal segmentation for accuracy, repeatability, and clinical acceptability given a relevant range of imaging abnormalities in clinical epilepsy. Methods Forty‐nine patients with hippocampal asymmetry were identified from our institutional radiology database, including two patients with significant anatomic deformations. Manual hippocampal tracing was performed by experienced technologists on 3T MPRAGE images, measuring hippocampal volume up to the tectal plate, excluding the hippocampal tail. The same images were processed using NeuroQuant and FreeSurfer software. Ten subjects underwent repeated manual hippocampal tracings by two additional technologists blinded to previous results to evaluate consistency. Ten patients with two clinical MRI studies had volume measurements repeated using NeuroQuant and FreeSurfer. Results FreeSurfer raw volumes were significantly lower than NeuroQuant (P 0.75) for both automated methods. Asymmetry index reproducibility was excellent (>0.75) for manual tracing and FreeSurfer segmentation and fair (0.4–0.59) for NeuroQuant segmentation. Both automatic segmentation methods failed on the two cases with anatomic deformations. Segmentation errors were visually identified in 25 NeuroQuant and 27 FreeSurfer segmentations, and nine (18%) NeuroQuant and six (12%) FreeSurfer errors were judged clinically significant. Interpretation Automated hippocampal volumes are more reproducible than hand‐traced hippocampal volumes. However, these methods fail in some cases, and significant segmentation errors can occur.
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