Evidence map›Paper›PMID 26273522›Full record

ArticleBone research2014

Validating cone-beam computed tomography for peri-implant bone morphometric analysis.

Yan Huang, Jeroen Van Dessel, Maarten Depypere, Mostafa EzEldeen, Alexandru Andrei Iliescu, Emanuela Dos Santos, Ivo Lambrichts, Xin Liang, Reinhilde Jacobs

Open access · goldAbstract read
In one paragraph

Article in Bone research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Autonomous Implants.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
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  4. KMaterials today. Bio · 2025
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  10. Pharmaceutical biology · 2021
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  16. Jawbone quality classification in dental implant planning and placement studies. A scoping review.Journal of International Society of Preventive & Community Dentistry
    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

9 authors at 5 institutions in 4 countries.

Yan HuangOMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven , Leuven, Belgium ; State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University , Chengdu, China.
Jeroen Van DesselOMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven , Leuven, Belgium.
Maarten DepypereESAT/PSI, Medical Image Computing, KU Leuven , Leuven, Belgium.
Mostafa EzEldeenOMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven , Leuven, Belgium.
Alexandru Andrei IliescuFaculty of Dentistry, UMF Craiova , Romania.
Emanuela Dos SantosSchool of Dentistry, Pontifical Catholic University of Paraná , Curitiba, Brazil.
Ivo LambrichtsBiomedical Research Institute, Hasselt University , Diepenbeek, Belgium.
Xin LiangSchool of Stomatology, Dalian Medical University , Dalian, China.
Reinhilde JacobsOMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven , Leuven, Belgium.
KU Leuven · BEDalian Medical University · CNHasselt University · BEPontifícia Universidade Católica do Paraná · BRUniversity of Medicine and Pharmacy of Craiova · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cone-beam computed tomography (CBCT) has been recently used to analyse trabecular bone structure around dental implants. To validate the use of CBCT for three-dimensional (3D) peri-implant trabecular bone morphometry by comparing it to two-dimensional (2D) histology, 36 alveolar bone samples (with implants n=27 vs. without implants n=9) from six mongrel dogs, were scanned ex vivo using a high-resolution (80 µm) CBCT. After scanning, all samples were decalcified and then sectioned into thin histological sections (∼6 μm) to obtain high contrast 2D images. By using CTAn imaging software, bone morphometric parameters including trabecular number (Tb.N), thickness (Tb.Th), separation (Tb.Sp) and bone volume fraction (BV/TV) were examined on both CBCT and corresponding histological images. Higher Tb.Th and Tb.Sp, lower BV/TV and Tb.N were found on CBCT images (P<0.001). Both measurements on the peri-implant trabecular bone structure showed moderate to high correlation (r=0.65-0.85). The Bland-Altman plots showed strongest agreement for Tb.Th followed by Tb.Sp, Tb.N and BV/TV, regardless of the presence of implants. The current findings support the assumption that peri-implant trabecular bone structures based on high-resolution CBCT measurements are representative for the underlying histological bone characteristics, indicating a potential clinical diagnostic use of CBCT-based peri-implant bone morphometric characterisation.

Identifiers

PMID26273522
PMCPMC4472132
OpenAlexW2027393186

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.