Evidence map›Paper›PMID 37509685›Full record

ArticleBiomedicines2023

Improving the Age Estimation Efficiency by Calculation of the Area Ratio Index Using Semi-Automatic Segmentation of Knee MRI Images.

Tatjana Matijaš, Ana Pinjuh, Krešimir Dolić, Darijo Radović, Tea Galić, Dunja Božić Štulić, Frane Mihanović

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Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

7 authors.

Tatjana MatijašUniversity Department of Health Studies, University of Split, 21000 Split, Croatia.ORCID 0000-0003-0494-1601
Ana PinjuhFaculty of Mechanical Engineering, Computing and Electrical Engineering, University of Mostar, 88000 Mostar, Bosnia and Herzegovina.
Krešimir DolićUniversity Department of Health Studies, University of Split, 21000 Split, Croatia.
Darijo RadovićUniversity Department of Health Studies, University of Split, 21000 Split, Croatia.
Tea GalićDepartment of Prosthodontics, Study of Dental Medicine, School of Medicine, University of Split, 21000 Split, Croatia.
Dunja Božić ŠtulićFaculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, 21000 Split, Croatia.ORCID 0000-0001-5267-0848
Frane MihanovićUniversity Department of Health Studies, University of Split, 21000 Split, Croatia.ORCID 0000-0002-0387-6206

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The knee is an anatomical structure that can provide a great deal of data for research on age estimation. The aim of this study was to evaluate and apply a method for semi-automatic measurements of the area under the growth plate closure of the femur distal epiphysis and the growth plate closure itself on the 2D coronary slices using T2 weighted images (T2WI) generated on magnetic resonance (MRI) devices of different technical and technological characteristics. After the semi-automatic segmentation of the femur distal epiphysis under the growth plate closure and the growth plate closure itself, the areas of the measured closures were calculated using MATLAB version: 9.12. (R2022a), MathWorks Inc., Natick, MA, USA, for each individual coronal slice. The area ratio index (ARI) was calculated as the ratio between the area under the growth plate closure of the femur distal epiphysis and the growth plate closure itself. The study sample consisted of 27 female and 23 male Caucasian participants aged 10 to 26 years. A total of 339 T2WI images were used for ARI calculations. There was a positive correlation between chronological age and the average ARI measured by three independent observers (r = 0.8280,

Indexed as

age estimationcomputer visionfemurknee jointmagnetic resonance imagingossifying epiphysessegmentation

Identifiers

PMID37509685
PMCPMC10377215

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