Pancreatic cancer is the fourth leading cause of cancer death in both the United States and Europe. A fundamental rolein the characterization, early diagnosis, and staging of pancreatic cancer is played by Magnetic Resonance. An innovative and recently implemented sequence, the 4D Free-Breathing sequence, is demonstrating remarkable efficiencyin the characterization of pancreatic lesions, as it allows to obtain images with high temporal resolution on the arterial phase, maintaining high spatial and temporal resolution, with the patient free breathing and with compensationof respiratory movement artifacts. The aim of this study was to analyze the 4D Free-Breathing sequence techniqueand to evaluate its advantages in terms of image quality and diagnostic value in the characterization of pancreaticlesions. The 4D Free Breathing sequence replaces the acquisition of the classic arterial post-contrast phase obtainedwith the 3D-THRIVE sequence: after a first acquisition of the k-space data in the non-contrast phase (lasting 58seconds), multiple arterial subphases, each one lasting about 5 seconds, will be acquired with a complete coverageof the post-contrast phase of about 90 seconds. This sequence exploits the k-space sampling technique called “Stackof Stars”, based on a radial sampling in the XY plane. In detail, along the slice phase-encoding direction (kz), uniform Cartesian-grid sampling is maintained. Within each kz-encoded plane, radial data is collected with consecutiveviews (1 per sequence repetition time TR) rotated by a golden-angle of 111.25°, allowing the sampling of a completecircle, also determining a considerably reduced presence of breath artifacts. The inclusion of the 4D Free-Breathingsequence in the MRI study protocol of the pancreas, through the rapid and consequential acquisitions of 18 arterialphases, allows to improve the diagnostic information contained in the arterial phase, with free breathing, also innon-compliant patients and with correction of breath artifacts