Quantitative assessment of benign and malignant bone tumours using synthetic magnetic resonance imaging and diffusion measures
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.
Authors
- Lei Gao (ORCID: https://orcid.org/0000-0003-3948-9213)
- Haitian Liu
- Zuzhuo Zhang
- Jian Zhao (ORCID: https://orcid.org/0000-0002-2848-2641)
- Enpeng Gao
- Bokang Wang
- Xiaohui Ma (ORCID: https://orcid.org/0000-0002-2232-7114)
- Yinghua Zhang (ORCID: https://orcid.org/0000-0002-1356-6084)
- Tiantian Xu (ORCID: https://orcid.org/0000-0002-9175-3264)
Institutions
- Hebei Medical University (CN)
- Third Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1038/s41598-025-23520-y
- Citations
- 1
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 1.36