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Abstract #1940

Parameters from novel non-Gaussian diffusion models for identifying the expression levels of prognostic factors in nasopharyngeal carcinoma

Huanhuan Ren1, Jiuquan Zhang1, Daihong Liu1, Jing Yang1, Junhao Huang1, Yao Huang1, Xinying Ren1, Hong Yu1, Yong Tan1, and lisha Nie2
1Chongqing University Cancer Hospital, Chongqing, China, 2GE HealthCare MR Research, Beijing, China

Synopsis

Keywords: Biomarkers, Cancer

Motivation: The role of parameters derived from novel non-Gaussian diffusion models in identifying prognostic factors associated with nasopharyngeal cancer has not been reported.

Goal(s): To explore the association between diffusion parameters and prognostic factors in NPC, including Ki-67, EGFR, and tumor-stroma ratio.

Approach: Eighty-three NPC patients performed continuous-time random-walk (CTRW) and fractional order calculus (FROC) models. ROC analysis was conducted using the diffusion parameters to evaluate accuracy in identifying prognostic factors.

Results: Diffusion parameters from CTRW and FROC models can distinguish EGFR and TSR expression, but not Ki-67.

Impact: Non-Gaussian diffusion parameters can non-invasively assess prognostic factors in NPC and help doctors better manage NPC patients.

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