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Abstract #1958

Predicting Adult-type Diffuse Gliomas Grade: A Comparison of Four Radiomics-based Diffusion Prediction Models

Peng Wang1,2, Jinlong He1, Qiong Wu1, Shenghui Xie1, Lixin Weng2, Shaoyu Wang3, Huapeng Zhang3, Yang Song3, and Yang Gao1
1Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2Inner Mongolia Medical University, Hohhot, China, 3Siemens Healthineers, Shanghai, China

Synopsis

Keywords: Tumors, Diffusion/other diffusion imaging techniquesApplication of MRI diffusion models can aid in the formulation of logical treatment strategies by non-invasively predicting gliomas pathogenic grade. However, it appears that the thorough comparison of diffusion models has not been addressed or has only been partially addressed. The objective of this study was to compare the potential clinical uses of four radiomics-based diffusion prediction models for predicting adult-type diffuse gliomas grade. According to the findings, the relatively simple model (i.e. diffusion tensor imaging) had the same potential for clinical use than the more sophisticated diffusion models. This suggests that additional point-to-point research is required.

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Keywords