Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT04118790 |
Other study ID # |
TRABIT13 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
December 23, 2019 |
Est. completion date |
March 1, 2029 |
Study information
Verified date |
May 2022 |
Source |
Danish Research Centre for Magnetic Resonance |
Contact |
Maria del Carmen Moreno Genis, MSc |
Phone |
38626446 |
Email |
carmenmg[@]drcmr.dk |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The purpose of this study is to establish a methodological framework based on existing
advanced neuroimaging technologies as a new clinical neuroimaging tool for assessment of
possible affected brain connections in stroke and TIA patients. Thus, providing new insights
into microstructural changes that may underline why those patients experience deficits like
fatigue.
Description:
Background:
Stroke and transient ischemic attack (TIA) patients are often burdened by fatigue and reduced
attention span subacutely. The frequency of post-stroke fatigue is estimated to occur in
29-77% of all patients, with the highest burden often reported at 3 months post-stroke. The
micro-sized structures that form the brain connection, i.e. White Matter (WM), the low blood
flow, and the little collateral blood supply make the WM highly susceptible to ischemic
injuries. In the case of stroke or TIA in WM, the surrounding microstructures of the are
affected start losing vital nutrients, i.e. oxygen and glucose, which initiate a cascade of
cellular dysfunction due to excitotoxicity. As a result, several microstructures deteriorate
and degenerate, leading to neuronal damage and reduction of signal conduction. Diagnosis of
stroke and TIA relies on clinical findings and imaging, where MRI has become the chosen
imaging modality due to the sensitivity to detect brain lesions. However, at the later
sub-acute phases of stroke and TIA, the standard clinical MRI sequences lack specificity to
map microstructural degeneration/regeneration of the brain connections that project through
or nearby the ischemic area. In recent years, new technologies for structural quantitative
MRI have emerged that are sensitive to different microstructural features and their
anisotropy organization i.e. demyelination and axonal sizes and densities. Using these new
MRI methods has the potential to disentangle some of the pathological processes underlying
minor stroke phases in a more quantitative way. Previously, a similar MRI study of future
directions of clinical MRI technologies was applied to the Multiple Sclerosis disease (MS).
The MS disease follows some of the systemic pathological degeneration effects as in minor
stroke i.e. axonal degeneration and de-/remyelination. The preliminary results of that study
strongly suggest e.g. that the newly introduced MRI modality improves diagnostic value by
better correlation with clinical assessment. Furthermore, the combination of MRI modalities
provides new insight into pathology only seen in histology.
Objectives:
1. To investigate whether new MRI methods can detect the impact of microstructure ischemic
changes along brain connections e.g. neuronal degeneration.
2. To test the hypothesis that a combination of unique structural MRI measures will
synergistically provide patterns of altered brain structure that give rise to excessive
fatigue in patients with minor stroke or TIA.
3. To evaluate the capability of the new quantitative MRI methods to objectively assess the
presence and severity of fatigue by pinpointing the relevant structural brain
alterations that contribute to fatigue.
Hypothesis:
The central hypothesis of the study is that a combination of unique MRI measures will
synergistically provide a stronger tool to describe the fatigue and cognitive deficits after
stroke and TIA in order to predict the functional deficits in minor stroke and TIA. The
assumption is that both Wallerian degeneration and demyelination are expected to affect the
anisotropy of microstructural measures along the brain network, as they are inferred from
diffusion processes on a micrometer length scale.
Methods:
- Participants: 90 participants are expected to be enrolled in this study. The
participants are divided by the case-control method to form in total a 3 class group: 30
minor stroke patients, 30 TIA patients, and 30 healthy age- and sex-matched subjects for
the control group.
- MRI sequences: Structural MRI (FLAIR, T1-W, T2*, and Magnetization Transfer),
Quantitative MRI (Multiparametric mapping), and Diffusion-weighted imaging ( Diffusion
Tensor Imaging, Tractography, Neurite Orientation Dispersion and Density Imaging (NODDI)
model, and Microscopic Fractional Anisotropy).
- Neuropsychological measures: Fatigue score, estimated by Multidimensional Fatigue
Inventory; Depression score, estimated by Major Depression Inventory; Fatigue Scale for
Motor and Cognitive Functions; Repeatable Battery for the Assessment of
Neuropsychological status; Wechsler Memory Scale-III; Verbal fluency tasks measuring
semantic fluency; and Trail making test A and B.
Experimental Design:
- Part 1. Clinical and Cognitive assessment The clinical and cognitive assessments will be
carried out at the Department of Neurology at Bispebjerg Hospital. The evaluation of
cognitive assessment will be done through a series of tasks and questionnaires, which
determine if the patient is eligible for the study.
- Part 2. MRI session The second part will take place within 3 weeks after the clinical
assessment of the patients and consist of only 1 scan session. Healthy controls subjects
will be included only for this second part with the aim to generate a reference frame of
the imaging results on how the normal brain appears. The scan session has a maximum
duration of 90 minutes.
Ethical Considerations:
All patients are handled according to best clinical practice and in accordance with Danish
and European guidelines. There is no known risk related to MRI in persons with no magnetic
metal in the body (e.g. a pacemaker); this is excluded by using a specific questionnaire to
screen subjects prior to MRI. The confined space and the noise of the MRI-scanner may cause
anxiety in some; therefore, all subjects will be provided with earplugs, and they must not
suffer from claustrophobia. The investigators are not responsible for failure to find
existing pathology in the MRI scans. However, on occasion the investigator may notice an
incidental finding on an MRI scan that seems abnormal, a radiologist will be consulted as to
whether the finding merits further investigation, in which case the investigator will contact
the participant and/or the primary care physician of the participant to inform the finding.
The decision as to whether to proceed with further examination or treatment lies solely with
the participant and, if applicable, with the physician of the participant.
Economy:
The project has received funding from the European Union's Horizon 2020 research and
innovation program under the Marie Skłodowska-Curie grant agreement No. 765148, European
Innovative Training Network (ITN) program entitled TRABIT - "Translational Brain Imaging
Training Network".
Importance or relevant to the study:
If the hypotheses of the study are confirmed, MRI-based fatigue imaging will provide an
important addition to the clinical assessment based on clinical scores of the subjective
perception of fatigue. Such MRI-based methods would pave the way for quantitative measurement
of disabling fatigue and thus foster the development and assessment of individualized
therapies.