Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations

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 selec...

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Bibliographic Details
Published in:Journal of imaging 2023-11, Vol.9 (11), p.252
Main Authors: Kostopoulos, Spiros, Boci, Nada, Cavouras, Dionisis, Tsagkalis, Antonios, Papaioannou, Maria, Tsikrika, Alexandra, Glotsos, Dimitris, Asvestas, Pantelis, Lavdas, Eleftherios
Format: Article
Language:English
Subjects:
Analysis
Arthritis
Bone marrow
bone marrow edema
Care and treatment
Cartilage
Diagnosis
Dropsy
Edema
Entropy
Heterogeneity
Injuries
Knee
knee injury
Magnetic resonance imaging
Osteoarthritis
Physiology, Pathological
Prevention
Radiomics
Risk factors
Spatial distribution
Texture
texture analysis
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Summary: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.
ISSN:2313-433X
2313-433X
DOI:10.3390/jimaging9110252