ArticleJournal of clinical medicine2023
Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Prediction of Breast Cancer Response to Neoadjuvant Therapy with Machine Learning: A Clinical, MRI-Qualitative, and Radiomics Approach.Life (Basel, Switzerland) · 2025Article
- BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation.Tomography (Ann Arbor, Mich.) · 2024Article
- Demystifying the Radiography of Age Estimation in Criminal Jurisprudence: A Pictorial Review.The Indian journal of radiology & imaging · 2024Review
- Sex Differentiation of Trabecular Bone Structure Based on Textural Analysis of Pelvic Radiographs.Journal of clinical medicine · 2024Article
- Advances in Musculoskeletal Imaging and Their Applications.Journal of clinical medicine · 2023Article
- A Comprehensive Review of Artificial Intelligence Methods in Bone Age Assessment.Healthcare technology lettersReview
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, bone age is assessed by X-rays. It enables the evaluation of the child's development and is an important diagnostic factor. However, it is not sufficient to diagnose a specific disease because the diagnoses and prognoses may arise depending on how much the given case differs from the norms of bone age.
backgroundThe use of magnetic resonance images (MRI) to assess the age of the patient would extend diagnostic possibilities. The bone age test could then become a routine screening test. Changing the method of determining the bone age would also prevent the patient from taking a dose of ionizing radiation, making the test less invasive.
methodsThe regions of interest containing the wrist area and the epiphyses of the radius are marked on the magnetic resonance imaging of the non-dominant hand of boys aged 9 to 17 years. Textural features are computed for these regions, as it is assumed that the texture of the wrist image contains information about bone age.
resultsThe regression analysis revealed that there is a high correlation between the bone age of a patient and the MRI-derived textural features derived from MRI. For DICOM T1-weighted data, the best scores reached 0.94 R2, 0.46 RMSE, 0.21 MSE, and 0.33 MAE.
conclusionsThe experiments performed have shown that using the MRI images gives reliable results in the assessment of bone age while not exposing the patient to ionizing radiation.
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