Evidence map›Paper›PMID 38693510›Full record

ArticleBMC medical imaging2024

Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens.

Eva Klintström, Benjamin Klintström, Örjan Smedby, Rodrigo Moreno

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 42% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
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 at 2 institutions in 1 country.

Eva KlintströmCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, SE-58185, Sweden. eva.klintstrom@liu.se.
Benjamin KlintströmDepartment of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Hälsovägen 11C, Huddinge, SE-14157, Sweden.
Örjan SmedbyDepartment of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Hälsovägen 11C, Huddinge, SE-14157, Sweden.
Rodrigo MorenoDepartment of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Hälsovägen 11C, Huddinge, SE-14157, Sweden.
KTH Royal Institute of Technology · SELinköping University · SE

Funding

Region Östergötland ALF Grants RÖ-936170
6 · The paper itself

Abstract

Bone strength depends on both mineral content and bone structure. Measurements of bone microstructure on specimens can be performed by micro-CT. In vivo measurements are reliably performed by high-resolution peripheral computed tomography (HR-pQCT) using dedicated software. In previous studies from our research group, trabecular bone properties on CT data of defatted specimens from many different CT devices have been analyzed using an Automated Region Growing (ARG) algorithm-based code, showing strong correlations to micro-CT.The aim of the study was to validate the possibility of segmenting and measuring trabecular bone structure from clinical CT data of fresh-frozen human wrist specimens. Data from micro-CT was used as reference. The hypothesis was that the ARG-based in-house built software could be used for such measurements.HR-pQCT image data at two resolutions (61 and 82 µm isotropic voxels) from 23 fresh-frozen human forearms were analyzed. Correlations to micro-CT were strong, varying from 0.72 to 0.99 for all parameters except trabecular termini and nodes. The bone volume fraction had correlations varying from 0.95 to 0.98 but was overestimated compared to micro-CT, especially at the lower resolution. Trabecular separation and spacing were the most stable parameters with correlations at 0.80-0.97 and mean values in the same range as micro-CT.Results from this in vitro study show that an ARG-based software could be used for segmenting and measuring 3D trabecular bone structure from clinical CT data of fresh-frozen human wrist specimens using micro-CT data as reference. Over-and underestimation of several of the bone structure parameters must however be taken into account.

Indexed as

AlgorithmsCancellous BoneX-Ray MicrotomographyAgedAged, 80 and overFemaleHumansMaleMiddle AgedSoftwareWristBone Structure AnalysisMicro-CTSegmentationTrabecular Bone

Identifiers

PMID38693510
PMCPMC11061919
OpenAlexW4396561764

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.