Endometrial cancer tissue features clusterization by kurtosis MRI.

Background: Endometrial cancer (EC) is one of the most common gynecological malignancies and the second most common gynecological malignancy cause of death in women. Heterogeneous tissues with different grades of complexity and different diffusion properties characterize the EC. Several diffusion magnetic resonance imaging (DMRI) protocols have been used to perform a non-invasive and global evaluation of EC for diagnostic and prognostic purposes.

Two-Compartment Perfusion MR IVIM Model to Investigate Normal and Pathological Placental Tissue.

Background: Perfusion and diffusion coexist in the placenta and can be altered by pathologies. The two-perfusion model, where f and, f are the perfusion-fraction of the fastest and slowest perfusion compartment, respectively, and D is the diffusion coefficient, may help differentiate between normal and impaired placentas.

Purpose: Investigate the potential of the two-perfusion IVIM model in differentiating between normal and abnormal placentas.

Quantitative diffusion and perfusion MRI in the evaluation of endometrial cancer: validation with histopathological parameters.

Objectives: To investigate the role of quantitative Magnetic Resonance Imaging (MRI) in preoperative assessment of tumour aggressiveness in patients with endometrial cancer, correlating multiple parameters obtained from diffusion and dynamic contrast-enhanced (DCE) MR sequences with conventional histopathological prognostic factors and inflammatory tumour infiltrate.

Methods: Forty-four patients with biopsy-proven endometrial cancer underwent preoperative MR imaging at 3T scanner, including DCE imaging, diffusion-weighted imaging (DWI) and intravoxel incoherent motion imaging (IVIM). Images were analysed on dedicated post-processing workstations and quantitative parameters were extracted: , , and from the DCE; from DWI; diffusion , pseudo diffusion , perfusion fraction from IVIM and tumour from DWI.