Evidence map›Paper›PMID 40448779›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

3D Morphometry of Preclinical Bone Disease Models Beyond Osteoporosis.

Phil Salmon

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Phil SalmonBruker Belgium (microCT), Kontich, Belgium. phil.salmon@bruker.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micro-CT is becoming a gold standard for quantitative imaging in preclinical disease models in bone research. Osteoporosis research routinely uses microCT for 3D analysis of the architecture and mechanical competence of trabecular and cortical bone. While most published methodological research on microCT in bone has focused on osteoporosis, there is equal potential for microCT to quantitatively assess other bone disease models (and genetic phenotypes). Here a unified analysis approach or "pipeline" is presented for all preclinical bone research models, consisting of a series of steps: (i) the scan and reconstruction; (ii) standardized 3D image orientation; (iii) anatomically referenced volume of interest (VOI) delineation; (iv) segmentation and 3D analysis, with (v) application-specific interpretation of measured parameters. How this pipeline works in practice is described for several applications beyond osteoporosis (covered elsewhere in this volume): arthritis bone effects, arthritis cartilage effects, bone tumor, and fracture callus healing. All these analyses can be performed in a single software environment and morphometry pipeline.

Indexed as

Bone DiseasesImaging, Three-DimensionalOsteoporosisX-Ray MicrotomographyAnimalsBone and BonesDisease Models, AnimalHumansImage Processing, Computer-AssistedMiceSoftwareArthritisBoneBone tumorFracture callusmicroCTMorphometry

Identifiers

PMID40448779

What OpenQuestion holds

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Registered trials

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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.