The impact of segmentation approach on high-resolution peripheral quantitative computed tomography (HR-pQCT) microarchitectural and biomechanical metrics depends on bone structure
An erratum to this article was published (J Bone Miner Res, 29 Oct 2026 ↗)
Authors' conclusion
Thus, it is important that investigators consider the segmentation approach utilized when interpreting HR-pQCT outcome metrics for disease progression or drug effects assessments.
Study context
- Population
- In vivo HR-pQCT scans from clinically relevant cohorts, including healthy participants and patients with end-stage kidney disease
- Comparison
- Laplace-Hamming segmentation vs standard segmentation of HR-pQCT scans
- Outcome
- HR-pQCT microarchitectural and μFE biomechanical metrics
Main finding
As reported in the abstract
- Laplace-Hamming (LH) segmentation, vs standard, reduced structure-dependent bias in HR-pQCT microarchitectural and μFE biomechanical metrics
- Tb.BV/TV, Tb.Th and Ct.Po.Dm were particularly sensitive to segmentation strategy
- Ct.Po differences between healthy participants and patients with end-stage kidney disease were only significant with standard segmentation
- A structure-based parameter (Tb.Th × Ct.Po.Dm) robustly predicted the effect of LH segmentation on μFE biomechanical estimations
Original publication
The impact of segmentation approach on HR-pQCT microarchitectural and biomechanical metrics depends on bone structure. J Bone Miner Res. Published 28 April 2025. doi:10.
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