Evidence map›Paper›PMID 35171527›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2022

Objective evaluation of chondrocyte density & cloning after joint injury using convolutional neural networks.

Linjun Yang, James A Martin, Marc J Brouillette, Joseph A Buckwalter, Jessica E Goetz

Open access · hybridAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Objective evaluation of chondrocyte density & cloning after joint injury using convolutional neural networks.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  4. 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

5 authors at 1 institution in 1 country.

Linjun YangDepartment of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0003-1430-3355
James A MartinDepartment of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0001-5085-0108
Marc J BrouilletteDepartment of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa, USA.
Joseph A BuckwalterDepartment of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa, USA.
Jessica E GoetzDepartment of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0002-7197-5978
University of Iowa · US

Funding

Tissue and Experimental Modeling CoreP50AR055533 · NIAMS · UNIVERSITY OF IOWA · PI GOETZ, JESSICA E · 2007 to 2016
$14.9M
CDC HHS R49 CCR721745NIAMS NIH HHS P50 AR055533
6 · The paper itself

Abstract

Variations in chondrocyte density and organization in cartilage histology sections are associated with osteoarthritis progression. Rapid, accurate quantification of these two features can facilitate the evaluation of cartilage health and advance the understanding of their significance. The goal of this work was to adapt deep-learning-based methods to detect articular chondrocytes and chondrocyte clones from safranin-O-stained cartilage to evaluate chondrocyte cellularity and organization. The U-net and "you-only-look-once" (YOLO) models were trained and validated for identifying chondrocytes and chondrocyte clones, respectively. Validated models were then used to quantify chondrocyte and clone density in talar cartilage from Yucatan minipigs sacrificed 1 week, 3, 6, and 12 months after fixation of an intra-articular fracture of the hock joint. There was excellent/good agreement between expert researchers and the developed models in identifying chondrocytes/clones (U-net: R

Indexed as

Cartilage, ArticularChondrocytesAnimalsCloning, MolecularNeural Networks, ComputerSwineSwine, Miniaturearticular cartilage histologychondrocytedeep learningU-netYOLO

Identifiers

PMID35171527
PMCPMC9378771
OpenAlexW4213100500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.