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Abstract #4378

Utilizing synthetic MRI and brain regional analysis for early Parkinson's disease diagnosis

Gang Zhang1, Miao Chen1, Wenjia Wang2, Lizhi Xie2, and Rui Zhang1
1hulunbuir people’s hospital, Hulunbuir, China, 2MR Research China, GE HealthCare, Beijing, China

Synopsis

Keywords: Parkinson's Disease, Parkinson's Disease

Motivation: Early detection of Parkinson's disease (PD) is crucial, and MRI has been a valuable tool. Synthetic MRI, allows for comprehensive analysis of brain regions, offering potential for early diagnosis.

Goal(s): Evaluate the feasibility of synthetic MRI in early PD diagnosis by studying brain regions.

Approach: 31 PD patients and 25 controls underwent MRI. Synthetic MRI provided T1, T2, and PrD maps. Brain regions were analyzed and a combined diagnostic model was developed.

Results: Differences in T1 and T2 values were found in the calcarine, cuneus, and hippocampus. The model achieved an AUC of 0.930, suggesting synthetic MRI-derived parameters can serve as biomarkers.

Impact: The combined diagnosis using T1 and T2 values in specific brain regions effectively distinguished early-stage Parkinson's disease (ESP) from healthy controls (HC). This suggests that synthetic MRI-derived parameters have the potential to serve as precise early PD diagnostic biomarkers.

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