Evidence map›Paper›PMID 34362427›Full record

ReviewArthritis research & therapy2021

Trabecular bone texture analysis of conventional radiographs in the assessment of knee osteoarthritis: review and viewpoint.

Ahmad Almhdie-Imjabbar, Pawel Podsiadlo, Richard Ljuhar, Rachid Jennane, Khac-Lan Nguyen, Hechmi Toumi, Simo Saarakkala, Eric Lespessailles

Open access · goldAbstract readReview
In one paragraph

Review in Arthritis research & therapy, 2021. 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
3.1field-weighted citation impact, top 8% 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, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. A Conditional Generative Diffusion Model of Trabecular Bone with Tunable Microstructure.Proceedings of SPIE--the International Society for Optical Engineering · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Osteoarthritis year in review 2022: imaging.Osteoarthritis and cartilage · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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 3 countries.

Ahmad Almhdie-ImjabbarEA 4708- I3MTO Laboratory, University of Orleans, Orleans, France.
Pawel PodsiadloTribology Laboratory, School of Civil and Mechanical Engineering, Curtin University, Bentley, WA, 6102, Australia.
Richard LjuharImageBiopsy Lab, Vienna, Austria.
Rachid JennaneEA 4708- I3MTO Laboratory, University of Orleans, Orleans, France.
Khac-Lan NguyenEA 4708- I3MTO Laboratory, University of Orleans, Orleans, France.
Hechmi ToumiEA 4708- I3MTO Laboratory, University of Orleans, Orleans, France.
Simo SaarakkalaPhysics and Technology, Research Unit of Medical Imaging, University of Oulu, Oulu, Finland.
Eric LespessaillesEA 4708- I3MTO Laboratory, University of Orleans, Orleans, France. eric.lespessailles@chr-orleans.fr.ORCID 0000-0003-1009-8518
Université d'Orléans · FRCurtin University · AUOulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrabecular bone texture analysis (TBTA) has been identified as an imaging biomarker that provides information on trabecular bone changes due to knee osteoarthritis (KOA). Consequently, it is important to conduct a comprehensive review that would permit a better understanding of this unfamiliar image analysis technique in the area of KOA research. We examined how TBTA, conducted on knee radiographs, is associated to (i) KOA incidence and progression, (ii) total knee arthroplasty, and (iii) KOA treatment responses. The primary aims of this study are twofold: to provide (i) a narrative review of the studies conducted on radiographic KOA using TBTA, and (ii) a viewpoint on future research priorities.

methodLiterature searches were performed in the PubMed electronic database. Studies published between June 1991 and March 2020 and related to traditional and fractal image analysis of trabecular bone texture (TBT) on knee radiographs were identified.

resultsThe search resulted in 219 papers. After title and abstract scanning, 39 studies were found eligible and then classified in accordance to six criteria: cross-sectional evaluation of osteoarthritis and non-osteoarthritis knees, understanding of bone microarchitecture, prediction of KOA progression, KOA incidence, and total knee arthroplasty and association with treatment response. Numerous studies have reported the relevance of TBTA as a potential bioimaging marker in the prediction of KOA incidence and progression. However, only a few studies have focused on the association of TBTA with both OA treatment responses and the prediction of knee joint replacement.

conclusionClear evidence of biological plausibility for TBTA in KOA is already established. The review confirms the consistent association between TBT and important KOA endpoints such as KOA radiographic incidence and progression. TBTA could provide markers for enrichment of clinical trials enhancing the screening of KOA progressors. Major advances were made towards a fully automated assessment of KOA.

Indexed as

Osteoarthritis, KneeCancellous BoneCross-Sectional StudiesDisease ProgressionHumansTibiaConventional radiographyKnee osteoarthritisTrabecular bone texture

Identifiers

PMID34362427
PMCPMC8344203
OpenAlexW3187973516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.