Keywords: Uterus, Cancer
Motivation: P53- abnormal and P53-wild-type endometrial cancer patients require distinct treatment owing to their unique pathological characteristics.
Goal(s): To investigate the diagnostic potential of APT and ECV measurements in distinguishing p53-abn from p53-wt in EC.
Approach: APT SI and T1 mapping-derived ECV values were compared between the two groups. Logistic regression was utilized to develop a predictive model that combines parameters, and receiver operating characteristic (ROC) analysis was conducted to assess diagnostic performance.
Results: APT and ECV can proficiently differentiate between p53-abn and p53-wt in endometrial cancer. Moreover, the discriminatory efficacy is enhanced significantly when both tests are employed concurrently.
Impact: P53- abnormal and P53-wild-type endometrial cancer patients require distinct treatment owing to their unique pathological characteristics. Precise and timely classification can precise endometrial cancer treatment, aiding in accurately classifying patients and devising personalized early treatment plans.
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