ArticleJournal of imaging2023
Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations.
Article in Journal of imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Arthroscopic-Assisted Management of Subchondral Bone Marrow Lesions of the Knee.Arthroscopy techniques · 2025Article
- Infrapatellar fat pad as a source of biomarkers and therapeutic target for knee osteoarthritis.Arthritis research & therapy · 2025Review
- Machine learning-based radiomics using MRI to differentiate early-stage Duchenne and Becker muscular dystrophy in children.BMC musculoskeletal disorders · 2025Article
- Differential Diagnosis of Diabetic Foot Osteomyelitis and Charcot Neuropathic Osteoarthropathy with Deep Learning Methods.Journal of imaging informatics in medicine · 2024Article
- Radiomics analysis using magnetic resonance imaging of bone marrow edema for diagnosing knee osteoarthritis.Frontiers in bioengineering and biotechnology · 2024Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate diagnosis and timely intervention are key to addressing common knee conditions effectively. In this work, we aim to identify textural changes in knee lesions based on bone marrow edema (BME), injury (INJ), and osteoarthritis (OST). One hundred and twenty-one MRI knee examinations were selected. Cases were divided into three groups based on radiological findings: forty-one in the BME, thirty-seven in the INJ, and forty-three in the OST groups. From each ROI, eighty-one radiomic descriptors were calculated, encoding texture information. The results suggested differences in the texture characteristics of regions of interest (ROIs) extracted from PD-FSE and STIR sequences. We observed that the ROIs associated with BME exhibited greater local contrast and a wider range of structural diversity compared to the ROIs corresponding to OST. When it comes to STIR sequences, the ROIs related to BME showed higher uniformity in terms of both signal intensity and the variability of local structures compared to the INJ ROIs. A combined radiomic descriptor managed to achieve a high separation ability, with AUC of 0.93 ± 0.02 in the test set. Radiomics analysis may provide a non-invasive and quantitative means to assess the spatial distribution and heterogeneity of bone marrow edema, aiding in its early detection and characterization.
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Registered trials
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