title: Diagnostic and prognostic utility of non-invasive imaging in diabetes management.
abstract: Medical imaging technologies are acquiring an increasing relevance to assist clinicians in diagnosis and to guide management and therapeutic treatment of patients, thanks to their non invasive and high resolution properties. Computed tomography, magnetic resonance imaging, and ultrasonography are the most used imaging modalities to provide detailed morphological reconstructions of tissues and organs. In addition, the use of contrast dyes or radionuclide-labeled tracers permits to get functional and quantitative information about tissue physiology and metabolism in normal and disease state. In recent years, the development of multimodal and hydrid imaging techniques is coming to be the new frontier of medical imaging for the possibility to overcome limitations of single modalities and to obtain physiological and pathophysiological measurements within an accurate anatomical framework. Moreover, the employment of molecular probes, such as ligands or antibodies, allows a selective in vivo targeting of biomolecules involved in specific cellular processes, so expanding the potentialities of imaging techniques for clinical and research applications. This review is aimed to give a survey of characteristics of main diagnostic non-invasive imaging techniques. Current clinical appliances and future perspectives of imaging in the diagnostic and prognostic assessment of diabetic complications affecting different organ systems will be particularly addressed.
authors.affiliation: Cristina Barsanti, Francesca Lenzarini, Claudia Kusmic, Institute of Clinical Physiology, Italian National Research Council, 56124 Pisa, Italy.
authors.forename: Cristina
authors.initials: C
authors.lastname: Barsanti
authors.affiliation: Cristina Barsanti, Francesca Lenzarini, Claudia Kusmic, Institute of Clinical Physiology, Italian National Research Council, 56124 Pisa, Italy.
authors.forename: Francesca
authors.initials: F
authors.lastname: Lenzarini
authors.affiliation: Cristina Barsanti, Francesca Lenzarini, Claudia Kusmic, Institute of Clinical Physiology, Italian National Research Council, 56124 Pisa, Italy.
authors.forename: Claudia
authors.initials: C
authors.lastname: Kusmic
keywords: Diabetes; Diabetic complications; Hybrid scanners; Medical non-invasive imaging; Molecular imaging; Multimodal imaging