Evidence map›Paper›PMID 29769754›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2018

Detection of bone loss via subchondral bone analysis.

Jean-Baptiste Vimort, Antonio Ruellas, Jack Prothero, J S Marron, Matthew McCormick, Lucia Cevidanes, Erika Benavides, Beatriz Paniagua

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Quantitative Imaging of the Mandibular Condyle: Radiomics and Microarchitectural Biomarkers.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2026
    Review
  2. Article
  3. Article
  4. Methods for quantitative characterization of bone injury from computed-tomography images.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  5. Advanced statistical analysis to classify high dimensionality textural probability-distribution matrices.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    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

8 authors at 3 institutions in 1 country.

Jean-Baptiste VimortKitware, Inc. 101 East Weaver Street, Carrboro, NC, USA 25710.
Antonio RuellasDept. of Orthodontics and Pediatric Dentistry, University of Michigan, 1011 N University Ave, Ann Arbor, MI, USA 48109.
Jack ProtheroDept. of Statistics and Operations Research, University of North Carolina at Chapel Hill, Hanes Hall, Campus Box 3260, Chapel Hill, NC, USA 27599.
J S MarronDept. of Statistics and Operations Research, University of North Carolina at Chapel Hill, Hanes Hall, Campus Box 3260, Chapel Hill, NC, USA 27599.
Matthew McCormickKitware, Inc. 101 East Weaver Street, Carrboro, NC, USA 25710.
Lucia CevidanesDept. of Orthodontics and Pediatric Dentistry, University of Michigan, 1011 N University Ave, Ann Arbor, MI, USA 48109.
Erika BenavidesDept. of Orthodontics and Pediatric Dentistry, University of Michigan, 1011 N University Ave, Ann Arbor, MI, USA 48109.
Beatriz PaniaguaKitware, Inc. 101 East Weaver Street, Carrboro, NC, USA 25710.
Kitware (United States) · USUniversity of Michigan · USUniversity of North Carolina at Chapel Hill · US

Funding

Textural biomarkers of arthritis for the subchondral bone in the temporomandibular jointR21DE025306 · NIDCR · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2016 to 2017
$429k
NIDCR NIH HHS R21 DE025306
6 · The paper itself

Abstract

To date, there is no single sign, symptom, or test that can clearly diagnose early stages of Temporomandibular Joint Osteoarthritis (TMJ OA). However, it has been observed that changes in the bone occur in early stages of this disease, involving structural changes both in the texture and morphometry of the bone marrow and the subchondral cortical plate. In this paper we present a tool to detect and highlight subtle variations in subchondral bone structure obtained from high resolution Cone Beam Computed Tomography (hr-CBCT) in order to help with detecting early TMJ OA. The proposed tool was developed in ITK and 3DSlicer and it has been disseminated as open-source software tools. We have validated both our texture analysis and morphometry analysis biomarkers for detection of TMJ OA comparing hr-CBCT to μCT. Our initial statistical results using the multidimensional features computed with our tool indicate that it is possible to classify areas of demonstrated loss of trabecular bone in both μCT and hr-CBCT. This paper describes the first steps to alleviate the current inability of radiological changes to diagnose TMJ OA before morphological changes are too advanced by quantifying subchondral bone biomarkers. This paper indicates that texture based and morphometry based biomarkers have the potential to identify OA patients at risk for further bone destruction.

Indexed as

Morphometric analysisOsteoarthritisSubchondral boneTemporomandibular JointTexture analysis

Identifiers

PMID29769754
PMCPMC5950720
OpenAlexW2793648078

What OpenQuestion holds

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LicenceTDM
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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.