Evidence map›Paper›PMID 38680899›Full record

ArticleBJR open2024

Specialist learning curves and clinical feasibility of introducing a new MRI grading system for skeletal maturity.

Francesca De Luca, Thröstur Finnbogason, Ola Kvist

Abstract read
In one paragraph

Article in BJR open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Francesca De LucaDepartment of Clinical Neuroscience, Karolinska Institute, Tomtebodavägen 18 a, 171 77 Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7131-3248
Thröstur FinnbogasonDepartment of Pediatric Radiology, Karolinska University Hospital, Eugeniavägen 23, 171 64, Stockholm, Sweden.
Ola KvistDepartment of Pediatric Radiology, Karolinska University Hospital, Eugeniavägen 23, 171 64, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8730-5901

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: MRI is an emerging imaging modality to assess skeletal maturity. This study aimed to chart the learning curves of paediatric radiologists when using an unfamiliar MRI grading system of skeletal maturity and to assess the clinical feasibility of implementing said system. Methods: 958 healthy paediatric volunteers were prospectively included in a dual-facility study. Each subject underwent a conventional MRI scan at 1.5 T. To perform the image reading, the participants were grouped into five subsets (subsets 1-5) of equal size ( Results: Mean weighted Cohen kappa values for each pair of blinded readers compared to consensus reading (interreader reliability, R1-2 vs consensus) were ≥0.85, showing a strong to almost perfect interreader agreement at both non-cumulative and cumulative time points and in all growth plate locations. Weighted Cohen kappa values for interreader (R1 vs R2) and intrareader reliability (R1 vs R1) were ≥0.72 at non-cumulative time points, with values ≥0.82 at subset 5. Conclusions: Paediatric radiologists' clinical confidence when introduced to a new MRI grading system for skeletal maturity was high from the outset of their learning curve, despite the radiologists' varying levels of work experience with MRI assessment. The MRI grading system for skeletal maturity investigated in this study is a robust clinical method when used by paediatric radiologists and can be used in clinical practice. Advances in knowledge: Radiologists with fellowship training in paediatric radiology experienced no learning curve progress when introduced to a new MRI grading system for skeletal maturity and achieved desirable agreement from the first time point of the learning curve. The robustness of the investigated MRI grading system was not affected by the earlier different levels of MRI experience among the readers.

Indexed as

growth platelearning curvemagnetic resonance imagingMRI-based assessment of skeletal maturityskeletal maturity

Identifiers

PMID38680899
PMCPMC11052657

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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.