title: Ultrasound-based Pulse Wave Velocity Evaluation in Mice.
abstract: Arterial stiffness can be evaluated by calculating pulse wave velocity (PWV), i.e., the speed with which the pulse wave travels in a conduit vessel. This parameter is being increasingly investigated in small rodent models in which it is used for assessing alterations in vascular function related to particular genotypes/treatments or for characterizing cardiovascular disease progression. This protocol describes an image processing algorithm which leads to non-invasive arterial PWV measurement in mice using ultrasound (US) images only. The proposed technique has been used to assess abdominal aorta PWV in mice and evaluate its age-associated changes. Abdominal aorta US scans are obtained from mice under gaseous anesthesia using a specific US device equipped with high-frequency US probes. B-mode and Pulse-Wave Doppler (PW-Doppler) images are analyzed in order to obtain diameter and mean velocity instantaneous values, respectively. For this purpose, edge detection and contour tracking techniques are employed. The single-beat mean diameter and velocity waveforms are time aligned and combined in order to achieve the diameter-velocity (lnD-V) loop. PWV values are obtained from the slope of the linear part of the loop, which corresponds to the early systolic phase. With the present approach, anatomical and functional information about the mouse abdominal aorta can be non-invasively achieved. Requiring the processing of US images only, it may represent a useful tool for the non-invasive characterization of different arterial sites in the mouse in terms of elastic properties. The application of the present technique can be easily extended to other vascular districts, such as the carotid artery, thus providing the possibility to obtain a multi-site arterial stiffness assessment.
authors.affiliation: Institute of Life Science, Scuola Superiore Sant'Anna; Institute of Clinical Physiology, National Research Council; nicole.dilascio@ifc.cnr.it.
authors.forename: Nicole
authors.initials: N
authors.lastname: Di Lascio
authors.affiliation: Institute of Clinical Physiology, National Research Council.
authors.forename: Claudia
authors.initials: C
authors.lastname: Kusmic
authors.affiliation: Institute of Clinical Physiology, National Research Council; Department of Clinical and Experimental Medicine, University of Pisa.
authors.forename: Francesco
authors.initials: F
authors.lastname: Stea
authors.affiliation: Institute of Clinical Physiology, National Research Council.
authors.forename: Francesco
authors.initials: F
authors.lastname: Faita
mesh_terms: D000465:Algorithms; D000818:Animals; D001012:Aorta, Abdominal / Q000000981:diagnostic imaging*; D001783:Blood Flow Velocity; D002318:Cardiovascular Diseases / Q000000981:diagnostic imaging*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D051379:Mice; D008810:Mice, Inbred C57BL; D023421:Models, Animal; D014463:Ultrasonography / Q000379:methods*; D059289:Vascular Stiffness / Q000502:physiology*