Evidence map›Paper›PMID 36607513›Full record

ArticleJournal of experimental orthopaedics2023

Comparison of clinical-CT segmentation techniques for measuring subchondral bone cyst volume in glenohumeral osteoarthritis.

Aoife M R Pucchio, Nikolas K Knowles, Joan Miquel, George S Athwal, Louis M Ferreira

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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.

Aoife M R PucchioDepartment of Surgery, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Nikolas K KnowlesDepartment of Biomedical Engineering, Western University, London, ON, Canada.
Joan MiquelDepartment of Biomedical Engineering, Western University, London, ON, Canada.
George S AthwalDepartment of Biomedical Engineering, Western University, London, ON, Canada.
Louis M FerreiraDepartment of Surgery, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada. louis.ferreira@uwo.ca.ORCID http://orcid.org/0000-0001-9881-9177
Western University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to assess the accuracy and reproducibility of four common segmentation techniques measuring subchondral bone cyst volume in clinical-CT scans of glenohumeral OA patients.

methodsTen humeral head osteotomies collected from cystic OA patients, having undergone total shoulder arthroplasty, were scanned within a micro-CT scanner, and corresponding preoperative clinical-CT scans were gathered. Cyst volumes were measured manually in micro-CT and served as a reference standard (n = 13). Respective cyst volumes were measured on the clinical-CT scans by two independent graders using four segmentation techniques: Qualitative, Edge Detection, Region Growing, and Thresholding. Cyst volume measured in micro-CT was compared to the different clinical-CT techniques using linear regression and Bland-Altman analysis. Reproducibility of each technique was assessed using intraclass correlation coefficient (ICC).

resultsEach technique outputted lower volumes on average than the reference standard (-0.24 to -3.99 mm

conclusionsQualitative and Edge Detection techniques were found to accurately and reproducibly measure subchondral cyst volume in clinical-CT. These findings provide evidence that clinical-CT may accurately gauge glenohumeral cystic presence, which may be useful for disease monitoring and preoperative planning. LEVEL OF EVIDENCE: Retrospective cohort Level 3 study.

Indexed as

Clinical-CTCystic osteoarthritisRegion GrowingSegmentationSubchondral bone cystsThresholding

Identifiers

PMID36607513
PMCPMC9823169
OpenAlexW4313648703

What OpenQuestion holds

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LicenceCC BY
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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.