Abstract

Motivation: Depth of myometrial invasion (DMI), lymphovascular invasion (LI) and pathological types of endometrial cancer (EC) affect decision-making on an optimal treatment plan for uterus. Goal(s): This study aimed to investigate the feasibility of MAGIC in evaluating the DMI and predicting the pathological types of EC. Approach: The assessment performance of MAGIC in comparison to hr-T2WI on DMI and prediction of EC types in comparison to ADC were performed. Results: T2 and PD together had a superior predictive performance to ADC only, and sy-T2WI showed the similar assessment performance on DMI to hr-T2WI. Impact: One more application of MAGIC-generated contrast images and quantitative parameter maps in cervical diagnosis may provide additional information on diagnosis of DMI and classification of pathological types of EC.