Abstract #3836

Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion weighted MRI models

Libing He¹, Meining Chen², Yinqiao Yi³, Xu Yan⁴, Qin Zhang⁵, and Xiaoxue Xu¹

¹Department of radiology, Affiliated Hospital of North Sichuan Medical College, nanchong, SIchuan, China, ²MR Research Collaboration, Siemens Healthineers, Chengdu, China, ³Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, ⁴MR Research Collaboration, Siemens Healthineers, Shanghai, China, ⁵MRI clinical application, Customer Service Department, Siemens Digital Medical Technology, Shanghai, China

Synopsis

Keywords: Tumors (Pre-Treatment), Diffusion/other diffusion imaging techniques

Motivation: Differentiating high-grade gliomas (HGGs) from solitary brain metastases (SBMs) using conventional MRI remains challenging due to similar imaging features.

Goal(s): Evaluating the diagnostic performance of advanced diffusion models, like NODDI and MAP, against traditional techniques like DWI, DTI and DKI in distinguishing HGGs from SBMs.

Approach: Using a 12-minute sequence, parameters of NODDI, MAP, DKI, DTI, and DWI were reconstructed using specialized postprocessing tools.

Results: NODDI_Viso was the most effective parameter in distinguishing HGGs from SBMs, and combining parameters of DTI_AD, DTI_RD, MAP_MSD and NODDI_Viso further enhanced classification accuracy.

Impact: Combined models from DTI, MAP and NODDI shows promise as sensitive imaging biomarkers for neuro-oncology and potentially improves treatment strategies for HGGs and SBMs.

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