1. To be aware of relevant functional studies in the emergency room.
2. To learn about the most useful functional parameter to be quantified.
3. To learn about the impact of functional data for patient management.
Brain imaging is an emergency when an acute stroke is clinically suspected. Such acute imaging is crucial (i) to establish the diagnosis of an ischemic or hemorrhagic stroke while ruling out stroke mimics, (ii) to provide etiological and prognosis clues and mainly (iii) to guide the acute therapeutic strategies. Either computer tomography (CT) or magnetic resonance imaging (MRI) can be used depending on their availability. The protocol is typically multimodal including for CT: non-contrast acquisition, angio-CT of head and neck vessels and brain perfusion CT; and for MRI: FLAIR, diffusion, T2*, angio-MR of head and neck vessels and brain perfusion MR. In ischemic stroke, the functional information provided by diffusion and/or perfusion can now be used to select the appropriate candidates for mechanical recanalisation within an extended time window (up to 24h after stroke onset) based on the concept of penumbra.
1. To learn about how functional data may help in characterising brain tumours.
2. To understand significance of quantitative data patient management.
3. To become familiar with limitations and pitfalls of functional technics.
There are quite many advanced MR
imaging techniques which are currently available in the majority of MRI centres
and can be used in daily routine. They offer different kinds of functional data
resulting from their physical basis which can be helpful in differentiation
between brain tumors and other pathological items as well as in determination
of tumor types and grades. They are also the source of vital information for clinicians
to provide most effective and safe ways of treatment.
The essentials of main functional
methods will be introduced including
diffusion and perfusion technics, functional MRI and just touch of
susceptibility weighted imaging. The selection of technics will be discussed and some
diagnostic algorithms will be proposed. The examples of clinical cases will be
presented to illustrate validity of the multiparametric imaging in practice.
Lastly, future perspectives will be mentioned eg. - randomix and use of machine