Time-lapse high-resolution peripheral quantitative computed tomography (HR-pQCT) reliably assesses and monitors local bone turnover in patients with chronic kidney disease
An erratum to this article was published (J Bone Miner Res, 29 Oct 2026 ↗)
Authors' conclusion
Our findings highlight that TL HR-pQCT holds promise as a "virtual bone biopsy" that reliably assesses and monitors local bone turnover for CKD bone care.
Study context
- Population
- Patients with end-stage kidney disease (ESKD)ESKD
- Participants
- 9 patients
- Outcome
- Feasibility of TL HR-pQCT to assess and monitor local bone formation and resorption in CKD
Methodological detailsex vivo cadaveric phantom, in vivo scan-rescan, longitudinal reproducibility, Customized time-lapse (TL) HR-pQCT pipeline developed on a second-generation HR-pQCT platform, optimized using ex vivo cadaveric phantom and in vivo scan-rescan images, Annualized least significant changes in bone formation and resorption evaluated using in vivo longitudinal reproducibility images
- Ex vivo cadaveric phantom
- In vivo scan-rescan
- Longitudinal reproducibility
- Customized TL HR-pQCT pipeline developed on a second-generation HR-pQCT platform, optimized using ex vivo cadaveric phantom and in vivo scan-rescan images
- Annualized least significant changes in bone formation and resorption evaluated using in vivo longitudinal reproducibility images
Main finding
As reported in the abstract
Feasibility of TL HR-pQCT pipeline
- A 2-month TL period was sufficient for the TL HR-pQCT pipeline to reliably assess and monitor local bone turnover in patients with ESKD
- Importance of characterizing TL HR-pQCT precision metrics using longitudinal baseline/follow-up rather than short-term scan-rescan datasets
- TL HR-pQCT assessed a range of bone formation metrics agreeing with gold-standard histomorphometry bone formation reported in the literature for chronic kidney disease (CKD) and ESKD
Observational data: associations, not effects.
Original publication
Time-lapse HR-pQCT reliably assesses and monitors local bone turnover in patients with chronic kidney disease. J Bone Miner Res. Published 15 January 2025. doi:10. 1093/ jbmr/ zjaf006
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