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Record W2892310479 · doi:10.33137/cpoj.v1i1.30006

MEASUREMENT OF THE CONSISTENCY OF PATELLA-TENDON-BEARING MODIFICATION USING CAD

2018· article· en· W2892310479 on OpenAlexvenueaboutno aff
O'Byrne Marie, Angus McFadyen, Dominic Hannett, Anthony McGarry

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsPatellar tendonMedicineTendonOrthodonticsIntraclass correlationTibiaPatellaReliability (semiconductor)Consistency (knowledge bases)AnatomyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Study design: Pilot studyBackground: Computer aided design (CAD) is now commonly used in prosthetic clinical practice. To create a patellar tendon bearing (PTB) socket, further modification of the transtibial shape is required. Objectives: To investigate the consistency of transtibial shape modification for a PTB socket design using CAD.Methods: 13 transtibial models with marked anatomical landmarks were made, each linked to a fictitious patient history. Three clinicians were asked to complete modification for a PTB socket with suspension sleeve at weekly intervals over the course of three weeks. Measurements were recorded at landmarks and compared for intra and inter reliability.Results: Clinicians showed high intraclass and interclass correlation (ICC) values with narrow confidence intervals for the tibial tubercle, medial and lateral flares and distal end of the tibia. One clinician demonstrated moderate intra rater reliability for modification over the patellar tendon. All other ICC values for the patellar tendon and fibular head modification were low. Inter rater reliability was not calculated for fibular head and patellar tendon as intra ICC values should be above 0.6.Conclusions: All clinicians showed good consistency at tibial tubercle, distal tibia, medial and lateral flares. Patellar tendon (0.345< ICC < 0.641) and fibular head (0.165< ICC < 0.513) showed poorer consistency and require improvement.
 LAYMAN’S ABSTRACT Computer aided design (CAD) is now commonly used to create artificial limbs. However, the shape of the amputated limb is captured when the patient is sitting down and therefore requires further adjustment. Modification of the shape is carried out by clinicians using a range on on-screen tools to remove and add material to the virtual model.This study aims to investigate the consistency of clinicians when making these modifications. A range of 13 below the knee amputation models were made, each linked to a made-up patient history. Three clinicians were asked to randomly complete modification three times on each model at weekly intervals over the course of three weeks. Measurements were recorded at landmarks and compared.Clinicians showed high reliability values for most landmark positions. However, modification was less reliable over important areas such as the patellar tendon and fibular head. Errors in such areas could potentially cause discomfort to the artificial limb wearer and greater consistency is required. This is only an initial study and further work is required to confirm results.
 ARTICLE PDF LINK: https://jps.library.utoronto.ca/index.php/cpoj/article/view/30006/22878
 How to cite: O'Byrne M, McFadyen A K, Hannett D, McGarry A. Measurement of The Consistency of Patella-Tendon-Bearing Modification Using CAD. Canadian Prosthetics & Orthotics Journal, Volume 1, Issue 1, No 2, 2018. DOI: https://doi.org/10.33137/cpoj.v1i1.30006

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.231
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2018
Admission routes2
Has abstractyes

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