Evidence map›Paper›PMID 34395683›Full record

ArticleOrthopaedic journal of sports medicine2021

A Novel Shorthand Approach to Knee Bone Age Using MRI: A Validation and Reliability Study.

Blake C Meza, Scott M LaValva, Julien T Aoyama, Christopher J DeFrancesco, Brendan M Striano, James L Carey, Jie C Nguyen, Theodore J Ganley

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Blake C MezaHospital for Special Surgery, New York, New York, USA.
Scott M LaValvaHospital for Special Surgery, New York, New York, USA.
Julien T AoyamaChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Christopher J DeFrancescoHospital for Special Surgery, New York, New York, USA.
Brendan M StrianoHarvard Combined Orthopaedic Residency Program, Boston, Massachusetts, USA.
James L CareyPerelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jie C NguyenChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Theodore J GanleyChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Children's Hospital of Philadelphia · USHospital for Special Surgery · USHarvard Affiliated Emergency Medicine Residency · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone-age determination remains a difficult process. An atlas for bone age has been created from knee-ossification patterns on magnetic resonance imaging (MRI), thereby avoiding the need for radiographs and associated costs, radiation exposure, and clinical inefficiency. Shorthand methods for bone age can be less time-consuming and require less extensive training as compared with conventional methods. PURPOSE: To create and validate a novel shorthand algorithm for bone age based on knee MRIs that could correlate with conventional hand bone age and demonstrate reliability across medical trainees. STUDY

designCohort study (diagnosis); Level of evidence, 2.

methodsIncluded in this study were adolescent patients who underwent both knee MRI and hand bone age radiographs within 90 days between 2009 and 2018. A stepwise algorithm for predicting bone age using knee MRI was developed separately for male and female patients, and 7 raters at varying levels of training used the algorithm to determine the bone age for each MRI. The shorthand algorithm was validated using Spearman rho (

resultsA total of 38 patients (44.7% female) underwent imaging at a mean age of 12.8 years (range, 9.3-15.7 years). Shorthand knee MRI bone age scores were strongly correlated with G&P hand bone age (

conclusionThis shorthand algorithm is a consistent, reliable, and valid way to determine skeletal maturity using knee MRI in patients aged 9 to 16 years and can be utilized across different levels of orthopaedic and radiographic expertise. This method is readily applicable in a clinical setting and may reduce the need for routine hand bone age radiographs.

Indexed as

bone ageclinical efficiencykneeMRIshorthand

Identifiers

PMID34395683
PMCPMC8361531
OpenAlexW3192458103

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.