Journal
JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 33, Issue 3, Pages 565-572Publisher
WILEY
DOI: 10.1002/jmri.22473
Keywords
magnetic resonance imaging; bipolar disorder; neuroimaging; volume hippocampus; automated segmentation methods; validation of software
Funding
- CAPES
- CNPq
- FAPERJ
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Purpose: To compare the hippocampal volumes in patients with bipolar disorder (BD) and healthy controls, obtained by applying different segmentation methods (manual, Freesurfer [FS], and FSL). Materials and Methods: The study included 27 patients with BD and 40 healthy controls. T1-weighted images in the sagittal plane were acquired on a 3 Testa (T) MR scanner. Hippocampal volumetry was performed using one manual and two automated methods (F'S and FSL). One-way repeated analysis of variance was applied to test the differences in hippocampal volumes using the three segmentation methods. To evaluate the agreement among the three tested volumetric segmentation methods the intraclass correlation coefficients (ICCs) were calculated. Results: Hippocampal volumes obtained from all methods were significantly different (P < 0.05) in BD patients after intracranial volume correction, indicating a reduction in volume, unless from the manual method of the left hippocampal volume. The ICCs of the hippocampal volume between the manual method and FS were 0.846 (right) and 0.859 (left), and between the manual method and FSL were 0.746 (right) and 0.654 (left). Conclusion: Both manual and automatic segmentation methods detected reductions in the hippocampal volumes in BD patients. Automated segmentation methods are a robust and reproducible option for assessing hippocampal volume.
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