Ovarian tumors are the first cause of death in gynecological malignancies. Their histopathological and morphological patterns are complicated and variable
and can be categorized as benign
borderline and malignant. There is a considerable overlap in conventional imaging appearances of ovarian tumors
leading to a difficult diagnosis. Functional magnetic resonance imaging (FMRI) such as diffusion-weighted imaging (DWI)
dynamic contrast-enhanced MRI (DCE-MRI) and magnetic resonance spectroscopy (MRS) has been increasingly applied in the clinical diagnosis and study of ovarian tumors. Through probing into the changes of motion of water molecule
microvascular perfusion
and concentration of metabolites
FMRI can harvest the functional and metabolic information of ovarian tumors
and thus help diagnosing and differentiating ovarian tumors