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Abstract #0098

High b-value diffusion-weighted MRI in cervical cancer detection: Preliminary results

Kaibao Sun1, Qi Zhang2, Zheng Zhong1,3, Muge Karaman1,3, Xiaoduo Yu2, Han Ouyang2, and Xiaohong Joe Zhou1,3,4

1Center for MR Research,University of Illinois at Chicago, Chicago, IL, United States, 2Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 3Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 4Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Cervical cancer remains one of the leading causes of cancer-related deaths in women. High b-value DWI with non-Gaussian modeling has made it possible to probe tumor tissue complexity, microstructures, and heterogeneity. We employed a non-Gaussian diffusion model based on continuous-time random walk (CTRW) theory to differentiate normal from cancerous cervical tissues. The CTRW parameters (Dm and β) exhibited a statistically significant difference between cancerous cervical tissue and normal. Our preliminary results illustrate the added value of high b-value DWI for cervical cancer detection, and point to a possible direction of diagnosing or staging cervical cancer using non-Gaussian diffusion models.

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