Evidence map›Paper›PMID 36853377›Full record

ArticlePediatric radiology2023

Online software Boneureka assessing bone age based on metacarpal length in healthy children: proof-of-concept study.

Grammatina Boitsios, Giovanni Briganti, Ayoub Mokhtari, Federico De Lucia, Maria Pilar Aparisi Gómez, Paolo Simoni

Open access · greenAbstract read
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In one paragraph

Article in Pediatric radiology, 2023. 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
–field-weighted citation impact, top 97% 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, 0 citations in OpenAlex.

  1. Review
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 3 institutions in 4 countries.

Grammatina BoitsiosDepartment of Paediatric Imaging, Queen Fabiola's Children Hospital (HUDERF), Free University of Brussels, Avenue Jean Joseph Crocq 15, 1020, Brussels, Belgium. gboitsios@gmail.com.ORCID 0000-0003-1575-9119
Giovanni BrigantiFaculty of Medecine, Free University of Brussels, Brussels, Belgium.ORCID 0000-0002-4038-3363
Ayoub MokhtariDepartment of Paediatric Imaging, Queen Fabiola's Children Hospital (HUDERF), Free University of Brussels, Avenue Jean Joseph Crocq 15, 1020, Brussels, Belgium.ORCID 0000-0002-7127-7993
Federico De LuciaDepartment of Paediatric Imaging, Queen Fabiola's Children Hospital (HUDERF), Free University of Brussels, Avenue Jean Joseph Crocq 15, 1020, Brussels, Belgium.ORCID 0000-0001-6355-9870
Maria Pilar Aparisi GómezDepartment of Radiology, Auckland City Hospital, Auckland, New Zealand.ORCID 0000-0002-6483-7139
Paolo SimoniDepartment of Paediatric Imaging, Queen Fabiola's Children Hospital (HUDERF), Free University of Brussels, Avenue Jean Joseph Crocq 15, 1020, Brussels, Belgium.ORCID 0000-0002-5957-0644
Queen Fabiola Children's University Hospital · BEAuckland City Hospital · NZUniversity of Mons · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone age in children is mainly assessed using the Greulich and Pyle (GP) atlas, a validated method with limited interobserver accuracy. While automated methods increase interobserver accuracy, they represent considerable costs and technical requirements.

objectiveA proof-of-concept study to create and evaluate an online software program, Boneureka MATERIALS AND

methodsThe study retrospectively included 434 consecutive children (215 girls) who underwent a left-hand radiograph to rule out trauma between March 2008 and December 2017. Two reviewers measured the second to fourth metacarpal lengths on each radiograph and the distance between the centre of the epiphyses of the second and fifth metacarpals. A single reviewer estimated the bone age using the GP atlas. The automated software assessed the bone age for all radiographs. A mathematical model was developed based on linear regressions to provide the mean bone age and standard deviation based on the estimates. Pearson and intraclass correlation coefficient (ICC) were used to evaluate the correlation and agreement between the estimated bone ages using Boneureka

resultsThe measure that showed the highest correlation (r

conclusionThe newly created online software Boneureka,

Indexed as

Metacarpal BonesAge Determination by SkeletonChildFemaleHumansMaleRadiographyRetrospective StudiesSoftwareBone age measurementChildGrowth and developmentRadiographySoftware

Identifiers

PMID36853377
OpenAlexW4322616488

What OpenQuestion holds

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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.