Evidence map›Paper›PMID 26069685›Full record

ArticleCartilage2014

Contrast-Enhanced Nanofocus X-Ray Computed Tomography Allows Virtual Three-Dimensional Histopathology and Morphometric Analysis of Osteoarthritis in Small Animal Models.

Greet Kerckhofs, Julie Sainz, Marina Maréchal, Martine Wevers, Tom Van de Putte, Liesbet Geris, Jan Schrooten

Open access · greenAbstract read
In one paragraph

Article in Cartilage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 3D-Non-destructive Imaging through Heavy-Metal Eosin Salt Contrast Agents.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Nano-computed tomography: current and future perspectives.Restorative dentistry & endodontics · 2016
    Article
  12. 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

7 authors at 2 institutions in 1 country.

Greet KerckhofsBiomechanics Research Unit, Université de Liège, Liège, Belgium ; Prometheus, Division of Skeletal Tissue Engineering Leuven, KU Leuven, Leuven, Belgium ; Department of Metallurgy and Materials Engineering, KU Leuven, Heverlee, Belgium.
Julie SainzTiGenix NV, Leuven, Belgium.
Marina MaréchalPrometheus, Division of Skeletal Tissue Engineering Leuven, KU Leuven, Leuven, Belgium.
Martine WeversDepartment of Metallurgy and Materials Engineering, KU Leuven, Heverlee, Belgium.
Tom Van de PutteTiGenix NV, Leuven, Belgium.
Liesbet GerisBiomechanics Research Unit, Université de Liège, Liège, Belgium ; Prometheus, Division of Skeletal Tissue Engineering Leuven, KU Leuven, Leuven, Belgium.
Jan SchrootenPrometheus, Division of Skeletal Tissue Engineering Leuven, KU Leuven, Leuven, Belgium ; Department of Metallurgy and Materials Engineering, KU Leuven, Heverlee, Belgium.
KU Leuven · BEUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOne of the early hallmarks of osteoarthritis (OA) is a progressive degeneration of the articular cartilage. Early diagnosis of OA-associated cartilage alterations would be beneficial for disease prevention and control, and for the development of disease-modifying treatments. However, early diagnosis is still hampered by a lack of quantifiable readouts in preclinical models.

designIn this study, we have shown the potency of contrast-enhanced nanofocus x-ray computed tomography (CE-nanoCT) to be used for virtual 3-dimensional (3D) histopathology in established mouse models for OA, and we compared with standard histopathology.

resultsWe showed the equivalence of CE-nanoCT images to histopathology for the modified Mankin scoring of the cartilage structure and quality. Additionally, a limited set of 3D cartilage characteristics measured by CE-nanoCT image analysis in a user-independent and semiautomatic manner, that is, average and maximum of the noncalcified cartilage thickness distribution and loss in glycosaminoglycans, was shown to be predictive for the cartilage quality and structure as can be evaluated by histopathological scoring through the use of an empirical model.

conclusionsWe have shown that CE-nanoCT is a tool that allows virtual histopathology and 3D morphological quantification of multitissue systems, such as the chondro-osseous junction. It provides faster and more quantitative data on cartilage structure and quality compared with standard histopathology while eliminating user bias. CE-nanoCT thus should allow capturing subtle differences in cartilage characteristics, carefully mapping OA progression and, ultimately, asses the beneficial changes when testing a candidate disease-modifying treatment.

Indexed as

3D cartilage quantificationcontrast-enhanced nanofocus computed tomography (CE-nanoCT)modified Mankin scoringosteoarthritisvirtual histopathology

Identifiers

PMID26069685
PMCPMC4297096
OpenAlexW2023461844

What OpenQuestion holds

Textmetadata
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.