VETERINARY RADIOLOGY AND DIAGNOSTIC IMAGING
cod. 21368

Academic year 2021/22
3° year of course - Second semester
Professor
- Giacomo GNUDI
Academic discipline
Clinica chirurgica veterinaria (VET/09)
Field
Discipline cliniche veterinarie
Type of training activity
Characterising
60 hours
of face-to-face activities
5 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

The students must acquire knowledge and understanding about the diagnostic capabilities offered by different diagnostic imaging techniques (radiology, CT, ultrasonography, RMN, scintigraphy). They should be able to understand the acquired data and discuss a differential diagnosis, applying knowledge and understanding, showing professional skills and being able to make judgements. Students must show communication and learning skills.

Prerequisites

Anatomy, physiology and general pathology knowlwdge

Course unit content

General topics will be discussed: ionizing radiation, x-ray unit, radiographic images: analogic and digital acquisition system, radioprotection, radiographic projection in small and large animal, ultrasonography, basic principle of CT, RMN, Scintigraphy. Indications for a correct approach in x-ray films reading will be given for thorax/abdomen/bone radiology.

Full programme

- - -

Bibliography

Thrall DE. Textbook of Veterinary Diagnostic Radiology, Elsiever
MC Muhlbauer and SK Kneller: Radiograph. of the dog and cat: guide to making and interpreting radiographs.Wiley-Blackell

Teaching methods

oral lecture/practical session

Assessment methods and criteria

Oral/practical examination : students will be asked to demonstrate that they have reached a good level of knowledge and understanding in discussing a diagnostic imaging examination (radiology, CT, ultrasonography). Students must be able to apply their knowledge and comprehension capacities, showing a professional approach to their work. They should have adequate skills in discussion of their ideas and in problems' solving. Students must be able to collect and discuss data, in order to develop their own independent judgements.

Other information

- - -