6533b7d0fe1ef96bd125a349

RESEARCH PRODUCT

Techniques, Tricks, and Stratagems of Oral Cavity Computed Tomography and Magnetic Resonance Imaging

Davide MaraghelliMichele PietragallaLinda CalistriLuigi BarbatoLuca Giovanni LocatelloMartina OrlandiNicholas LandiniAntonio Lo CastoCosimo Nardi

subject

Fluid Flow and Transfer ProcessesTechnologyQH301-705.5Process Chemistry and TechnologyTPhysicsQC1-999General Engineeringcomputed tomographyoral cancerEngineering (General). Civil engineering (General)imaging techniquesComputer Science Applicationsperfusion weighted imagingChemistrydiffusion weighted imagingmagnetic resonance imagingGeneral Materials ScienceTA1-2040Biology (General)InstrumentationQD1-999computed tomography; diffusion weighted imaging; imaging techniques; magnetic resonance imaging; oral cancer; perfusion weighted imaging

description

The oral cavity constitutes a complex anatomical area that can be affected by many developmental, inflammatory, and tumoural diseases. MultiSlice Computed Tomography (MSCT) and Magnetic Resonance Imaging (MRI) currently represent the essential and complementary imaging techniques for detecting oral cavity abnormalities. Advanced MRI with diffusion-weighted imaging (DWI) and dynamic contrast-enhanced perfusion-weighted imaging (DCE-PWI) has recently increased the ability to characterise oral lesions and distinguish disease recurrences from post therapy changes. The analysis of the oral cavity area via imaging techniques is also complicated both by mutual close appositions of different mucosal surfaces and metal artifacts from dental materials. Nevertheless, an exact identification of oral lesions is made possible thanks to dynamic manoeuvres and specific stratagems applicable on MSCT and MRI acquisitions. This study summarises the currently available imaging techniques for oral diseases, with particular attention to the role of DWI, DCE-PWI, and dynamic manoeuvres. We also propose MSCT and MRI acquisition protocols for an accurate study of the oral cavity area.

10.3390/app12031473https://www.mdpi.com/2076-3417/12/3/1473