Evidence map›Paper›PMID 37767103›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2022

SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement.

Asta Olafsdottir, Addie Majed, David Butt, Mark Falworth, Matthew J Clarkson, Stephen Thompson

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    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

6 authors at 2 institutions in 1 country.

Asta OlafsdottirWellcome/EPSRC Centre for Interventional and Surgical Science, University College London, United Kingdom.
Addie MajedThe Royal National Orthopaedic Hospital NHS Trust.
David ButtThe Royal National Orthopaedic Hospital NHS Trust.
Mark FalworthThe Royal National Orthopaedic Hospital NHS Trust.
Matthew J ClarksonWellcome/EPSRC Centre for Interventional and Surgical Science, University College London, United Kingdom.
Stephen ThompsonWellcome/EPSRC Centre for Interventional and Surgical Science, University College London, United Kingdom.
University College London · GBRoyal National Orthopaedic Hospital NHS Trust · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Correct understanding of the geometry of the glenoid (the socket of the shoulder joint) is key to successful planning of shoulder replacement surgery. This surgery typically involves placing an implant in the shoulder joint to restore joint function. The most relevant geometry is the glenoid version, which is the angular orientation of the glenoid surface relative to the long axis of the scapula in the axial plane. However, measuring the glenoid version is not straightforward and there are multiple measurement methods in the literature and used in commercial planning software. In this paper we introduce SciKit-SurgeryGlenoid, an open source toolkit for the measurement of glenoid version. SciKit-SurgeryGlenoid contains implementations of the 4 most frequently used glenoid version measurement algorithms enabling easy and unbiased comparison of the different techniques. We present the results of using the software on 10 sets of pre-operative CT scans taken from patients who have subsequently undergone shoulder replacement surgery. We further compare these results with those obtained from a commercial implant planning software. SciKit-SurgeryGlenoid currently requires manual segmentation of the relevant anatomical features for each method. Future work will look at automating the segmentation process to build an automatic and repeatable pipeline from CT or radiograph to quantitative glenoid version measurement.

Identifiers

PMID37767103
PMCPMC7615128
OpenAlexW4213246706

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.