Evidence map›Paper›PMID 28606558›Full record

ArticleOsteoarthritis and cartilage2017

3D histopathological grading of osteochondral tissue using contrast-enhanced micro-computed tomography.

H J Nieminen, H K Gahunia, K P H Pritzker, T Ylitalo, L Rieppo, S S Karhula, P Lehenkari, E Hæggström, S Saarakkala

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Osteoarthritis and cartilage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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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.

H J NieminenResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Department of Physics, University of Helsinki, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland. Electronic address: heikki.j.nieminen@aalto.fi.
H K GahuniaOrthopedic Science Consulting Services, Oakville, Ontario, Canada. Electronic address: harpal.gahunia@utoronto.ca.
K P H PritzkerDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, Mount Sinai Hospital, Toronto, Canada. Electronic address: kenpritzker@gmail.com.
T YlitaloResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Physics, University of Helsinki, Helsinki, Finland. Electronic address: tuomo.ylitalo@helsinki.fi.
L RieppoResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: lassi.rieppo@oulu.fi.
S S KarhulaResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Infotech Doctoral Program, University of Oulu, Oulu, Finland. Electronic address: sakari.karhula@oulu.fi.
P LehenkariDepartment of Anatomy and Cell Biology, University of Oulu, Oulu, Finland; Department of Surgery and Intensive Care, University of Oulu and Oulu University Hospital, Oulu, Finland. Electronic address: petri.lehenkari@oulu.fi.
E HæggströmDepartment of Physics, University of Helsinki, Helsinki, Finland. Electronic address: edward.haeggstrom@helsinki.fi.
S SaarakkalaResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland. Electronic address: simo.saarakkala@oulu.fi.

Funding

European Research Council 336267
6 · The paper itself

Abstract

objectiveHistopathological grading of osteochondral (OC) tissue is widely used in osteoarthritis (OA) research, and it is relatively common in post-surgery in vitro diagnostics. However, relying on thin tissue section, this approach includes a number of limitations, such as: (1) destructiveness, (2) sample processing artefacts, (3) 2D section does not represent spatial 3D structure and composition of the tissue, and (4) the final outcome is subjective. To overcome these limitations, we recently developed a contrast-enhanced μCT (CEμCT) imaging technique to visualize the collagenous extracellular matrix (ECM) of articular cartilage (AC). In the present study, we demonstrate that histopathological scoring of OC tissue from CEμCT is feasible. Moreover, we establish a new, semi-quantitative OA μCT grading system for OC tissue.

resultsPathological features were clearly visualized in AC and subchondral bone (SB) with μCT and verified with histology, as demonstrated with image atlases. Comparison of histopathological grades (OARSI or severity (0-3)) across the characterization approaches, CEμCT and histology, excellent (0.92, 95% CI = [0.84, 0.96], n = 30) or fair (0.50, 95% CI = [0.16, 0.74], n = 27) intra-class correlations (ICC), respectively. A new μCT grading system was successfully established which achieved an excellent cross-method (μCT vs histology) reader-to-reader intra-class correlation (0.78, 95% CI = [0.58, 0.89], n = 27).

conclusionsWe demonstrated that histopathological information relevant to OA can reliably be obtained from CEμCT images. This new grading system could be used as a reference for 3D imaging and analysis techniques intended for volumetric evaluation of OA pathology in research and clinical applications.

Indexed as

AgedAged, 80 and overArthroplasty, Replacement, KneeCalcinosisCartilage, ArticularContrast MediaExtracellular MatrixFeasibility StudiesHumansMiddle AgedObserver VariationOsteoarthritis, KneeSeverity of Illness IndexX-Ray MicrotomographyContrast MediaHistologyImagingMicro-computed tomographyOsteoarthritisPathology

Identifiers

PMID28606558
PMCPMC5773475

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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.