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Quantitative assessment of benign and malignant bone tumours using synthetic magnetic resonance imaging and diffusion measures
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Quantitative assessment of benign and malignant bone tumours using synthetic magnetic resonance imaging and diffusion measures
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Journal Article
Quantitative assessment of benign and malignant bone tumours using synthetic magnetic resonance imaging and diffusion measures
2025
Overview
Our study aimed to evaluate the feasibility of quantitative magnetic resonance imaging (MRI) for characterising benign and malignant bone tumours. We analysed forty-seven patients with bone tumours who underwent Synthetic MRI with magnetic resonance image complication (MAGIC) and intravoxel incoherent motion (IVIM) sequence imaging performed at 3 T MRI. Based on different pathological results, the patients were divided into benign and malignant bone tumour groups. Two radiologists performed statistical analysis to analyse whether the parameters T1 relaxation time (T1), T2 relaxation time (T2), proton density relaxation time from MAGIC and diffusion-coefficient (D), perfusion-coefficient (D*), perfusion fraction (f) from IVIM to differentiate malignant and benign bone tumours effectively. T1 and D for malignant tumours were significantly lower than benign bone tumours. The combined T1 and D parameters had the best performance for differentiating malignant from benign bone tumours with receiver operating characteristic curves of 0.860. The MAGIC and IVIM techniques can provide quantitative parameters for identifying benign and malignant bone tumours, with the parameters T1 and D demonstrating high diagnostic efficiency. This approach may serve as an effective strategy for improving bone tumour differentiation.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 692/308
/ Adult
/ Aged
/ Benign
/ Biopsy
/ Blood
/ Bone Neoplasms - diagnostic imaging
/ Child
/ Diffusion Magnetic Resonance Imaging - methods
/ Female
/ Humanities and Social Sciences
/ Humans
/ Lesions
/ Magnetic Resonance Imaging - methods
/ Male
/ Quantitative magnetic resonance imaging
/ Science
/ Software
/ Synthetic magnetic resonance imaging
/ Tumors
