Evidence map›Paper›PMID 29802974›Full record

ArticleOsteoarthritis and cartilage2018

In vitro method for 3D morphometry of human articular cartilage chondrons based on micro-computed tomography.

I Kestilä, J Thevenot, M A Finnilä, S S Karhula, I Hadjab, S Kauppinen, M Garon, E Quenneville, M Haapea, L Rieppo and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Osteoarthritis and cartilage, 2018. 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.

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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

14 authors.

I KestiläResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: iida.kestila@oulu.fi.
J ThevenotResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Infotech Oulu, University of Oulu, Finland. Electronic address: jerome.thevenot@oulu.fi.
M A FinniläResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Medical Research Center, University of Oulu, Oulu, Finland. Electronic address: mikko.finnila@oulu.fi.
S S KarhulaResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Infotech Oulu, University of Oulu, Finland. Electronic address: sakari.karhula@oulu.fi.
I HadjabInstitute of Biomedical Engineering, Ecole Polytechnique de Montreal, P.O. Box 6079, Station Centre-Ville, Montreal, Quebec H3C 3A7, Canada; Biomomentum Inc., 970 Michelin St., Suite 200, Laval, Quebec H7L 5C1, Canada. Electronic address: insaf.hadjab@polymtl.ca.
S KauppinenResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: sami.kauppinen@oulu.fi.
M GaronBiomomentum Inc., 970 Michelin St., Suite 200, Laval, Quebec H7L 5C1, Canada. Electronic address: garon@biomomentum.com.
E QuennevilleBiomomentum Inc., 970 Michelin St., Suite 200, Laval, Quebec H7L 5C1, Canada. Electronic address: quenneville@biomomentum.com.
M HaapeaResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center, University of Oulu, Oulu, Finland; Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland. Electronic address: marianne.haapea@oulu.fi.
L RieppoResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. Electronic address: lassi.rieppo@oulu.fi.
K P PritzkerDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Mount Sinai Hospital, Toronto, Ontario, Canada. Electronic address: kenpritzker@gmail.com.
M D BuschmannInstitute of Biomedical Engineering, Ecole Polytechnique de Montreal, P.O. Box 6079, Station Centre-Ville, Montreal, Quebec H3C 3A7, Canada; Groupe de Recherche en Sciences et Technologies Biomédicales, Polytechnique Montreal, P.O. Box 6079, Station Centre-Ville, Montreal, Quebec H3C 3A7, Canada. Electronic address: michael.buschmann@polymtl.ca.
H J NieminenResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; 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.
S SaarakkalaResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center, 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

objectiveThe aims of this study were: to 1) develop a novel sample processing protocol to visualize human articular cartilage (AC) chondrons using micro-computed tomography (μCT), 2) develop and validate an algorithm to quantify the chondron morphology in 3D, and 3) compare the differences in chondron morphology between intact and osteoarthritic AC.

methodThe developed protocol is based on the dehydration of samples with hexamethyldisilazane (HMDS), followed by imaging with a desktop μCT. Chondron density and depth, as well as volume and sphericity, were calculated in 3D with a custom-made and validated algorithm employing semi-automatic chondron selection and segmentation. The quantitative parameters were analyzed at three AC depth zones (zone 1: 0-10%; zone 2: 10-40%; zone 3: 40-100%) and grouped by the OARSI histological grades (OARSI grades 0-1.0, n = 6; OARSI grades 3.0-3.5, n = 6).

resultsAfter semi-automatic chondron selection and segmentation, 1510 chondrons were approved for 3D morphometric analyses. The chondrons especially in the deeper tissue (zones 2 and 3) were significantly larger (P < 0.001) and less spherical (P < 0.001), respectively, in the OARSI grade 3-3.5 group compared to the OARSI grade 0-1.0 group. No statistically significant difference in chondron density between the OARSI grade groups was observed at different depths.

conclusionWe have developed a novel sample processing protocol for chondron imaging in 3D, as well as a high-throughput algorithm to semi-automatically quantify chondron/chondrocyte 3D morphology in AC. Our results also suggest that 3D chondron morphology is affected by the progression of osteoarthritis (OA).

Indexed as

AdultCartilage, ArticularChondrocytesFemaleHumansImaging, Three-DimensionalIn Vitro TechniquesMaleMiddle AgedOsteoarthritisX-Ray Microtomography3D analysisHexamethyldisilazaneMorphologyOsteoarthritisSegmentation

Identifiers

PMID29802974
PMCPMC6058088

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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.