Keywords: Uterus, Tumor, Endometrial cancer, mapping
Motivation: This study seeks to refine diagnostic precision for endometrial cancer, addressing the need for non-invasive biomarkers to improve preoperative assessment and risk stratification.
Goal(s): To evaluate the feasibility of synthetic MRI using T1-, T2- and proton density(PD) mapping for characterization, reflecting underlying tumor biology.
Approach: A pilot study with twenty patients using a 2D fast-spin-echo multi-saturation-delay multi-echo sequence to acquire synthetic MRI data, with analysis of T1, T2, and PD metrics compared with histopathological findings.
Results: The preliminary results suggest differences in T1 relaxation times between endometrioid vs. non-endometrioid subtype and low vs. high grade, suggesting a correlation with histopathological architecture of tumors.
Impact: If confirmed in larger studies, our results could adjust the approach to preoperative planning, allowing non-invasive depiction of tumor characteristics. This opens the door to personalized surgical strategies and streamline the decision-making process for adjuvant therapies, directly benefiting patient care.
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