Evidence map›Paper›PMID 42171912›Full record

ReviewCurrent osteoporosis reports2026

Time-Lapse HR-pQCT: an in Vivo Imaging-Based Assessment of Bone Remodeling Dynamics.

Minhao Zhou, Thomas L Nickolas, Joachim H Ix, Galateia J Kazakia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Minhao ZhouDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA. Minhao.Zhou@ucsf.edu.
Thomas L NickolasDepartment of Medicine, Washington University School of Medicine, St Louis, MO, USA.
Joachim H IxDivision of Nephrology-Hypertension, Department of Medicine, University of California, San Diego, San Diego, CA, USA.
Galateia J KazakiaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOsteoporosis remains a pressing worldwide health concern. Understanding disease progression and evaluating treatment responses requires comprehensive skeletal assessment. This review presents a novel skeletal assessment - time-lapse high-resolution peripheral quantitative computed tomography (time-lapse HR-pQCT) - and highlights its capability in assessing bone formation and resorption. RECENT

findingsTime-lapse analysis was validated for in vivo bone remodeling assessment in micro-CT-based preclinical studies two decades ago. Recently, clinical time-lapse HR-pQCT research has demonstrated its feasibility in assessing bone turnover in patients with chronic kidney disease, and in characterizing the spatial distribution of long-term bone gain and loss in response to medications, mechanical loading, disease, and injury. Moving forward, time-lapse HR-pQCT requires validation against the gold standard bone biopsy with quantitative histomorphometry. Time-lapse HR-pQCT is a skeletal assessment capable of evaluating and longitudinally monitoring changes in bone density, microarchitecture, and remodeling dynamics. Rigorous validation and application to clinical imaging modalities will enable its broader implementation.

Indexed as

Bone RemodelingOsteoporosisTime-Lapse ImagingTomography, X-Ray ComputedAnimalsBone DensityBone ResorptionHumansOsteogenesisBone remodeling assessmentBone turnover assessmentHigh-resolution peripheral quantitative computed tomography (HR-pQCT)Time-lapse imagingVirtual bone biopsy

Identifiers

PMID42171912

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.