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- Title
Comparison of MRI- and CT-based semiautomated liver segmentation: a validation study.
- Authors
Gotra, Akshat; Chartrand, Gabriel; Vu, Kim-Nhien; Vandenbroucke-Menu, Franck; Massicotte-Tisluck, Karine; Guise, Jacques; Tang, An
- Abstract
Purpose: To compare the repeatability, agreement, and efficiency of MRI- and CT-based semiautomated liver segmentation for the assessment of total and subsegmental liver volume. Methods: This retrospective study was conducted in 31 subjects who underwent contemporaneous liver MRI and CT. Total and subsegmental liver volumes were segmented from contrast-enhanced 3D gradient-recalled echo MRI sequences and CT images. Semiautomated segmentation was based on variational interpolation and Laplacian mesh optimization. All segmentations were repeated after 2 weeks. Manual segmentation of CT images using an active contour tool was used as the reference standard. Repeatability and agreement of the methods were evaluated with intra-class correlation coefficients (ICC) and Bland-Altman analysis. Total interaction time was recorded. Results: Intra-reader ICC were ≥0.987 for MRI and ≥0.995 for CT. Intra-reader repeatability was 30 ± 217 ml (bias ± 1.96 SD) (95% limits of agreement: −187 to 247 ml) for MRI and −10 ± 143 ml (−153 to 133 ml) for CT. Inter-method ICC between semiautomated and manual volumetry were ≥0.995 for MRI and ≥0.986 for CT. Inter-method segmental ICC varied between 0.584 and 0.865 for MRI and between 0.596 and 0.890 for CT. Inter-method agreement was -14 ± 136 ml (−150 to 122 ml) for MRI and 50 ± 226 ml (−176 to 276 ml) for CT. Inter-method segmental agreement ranged from 10 ± 47 ml (−37 to 57 ml) to 2 ± 214 ml (−212 to 216 ml) for MRI and 9 ± 45 ml (−36 to 54 ml) to −46 ± 183 ml (−229 to 137 ml) for CT. Interaction time (mean ± SD) was significantly shorter for MRI-based semiautomated segmentation (7.2 ± 0.1 min, p < 0.001) and for CT-based semiautomated segmentation (6.5 ± 0.2 min, p < 0.001) than for CT-based manual segmentation (14.5 ± 0.4 min). Conclusion: MRI-based semiautomated segmentation provides similar repeatability and agreement to CT-based segmentation for total liver volume.
- Subjects
LIVER disease diagnosis; MAGNETIC resonance imaging; COMPUTED tomography; IMAGE analysis; RADIOLOGY
- Publication
Abdominal Radiology, 2017, Vol 42, Issue 2, p478
- ISSN
2366-004X
- Publication type
Article
- DOI
10.1007/s00261-016-0912-7