Abstract #0707

Mean apparent propagator and neurite orientation dispersion and density imaging in distinguishing glioblastomas from solitary brain metastase

Libing He¹, Meining Chen², Yan Xu³, Qin Zhang⁴, and Xiaoxue Xu¹

¹Affiliated Hospital of North Sichuan Medical College, Nanchong, China, ²MR Research Collaboration, Siemens Healthineers, Chengdu, China, ³MR Research Collaboration, Siemens Healthineers,, Shanghai, China, ⁴MRI clinical application, Customer Service Department, Siemens Digital Medical Technology Co., LTD, Shanghai, China

Synopsis

Keywords: Diffusion Analysis & Visualization, Diffusion Modeling

Motivation: Differentiating glioblastomas (GBMs) from solitary brain metastases (SBMs) is challenging due to similar MRI appearances, complicating treatment decisions. Advanced diffusion MRI techniques could enhance diagnostic accuracy.

Goal(s): This study aims to assess the effectiveness of MAP-MRI and NODDI diffusion parameters, particularly the Orientation Dispersion Index (ODI), in distinguishing GBMs from SBMs.

Approach: We conducted MRI on 43 patients with confirmed GBMs or SBMs, analyzing MAP-MRI and NODDI parameters, with a focus on NODDI_ODI’s diagnostic performance.

Results: NODDI_ODI showed high diagnostic accurac, with further improvement in the combined model of MAP_QIV, MAP_NG_Rad, and NODDI_ODI.

Impact: MAP-MRI and NODDI offer diagnostic value in distinguishing GBMs from SBMs, with NODDI_ODI emerging as an effective imaging marker. Combined models show promise as sensitive biomarkers in neuro-oncology, potentially enhancing treatment strategies for GBMs and SBMs.

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