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Imaging biomarkers of post-stroke prognosis

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Presentation on theme: "Imaging biomarkers of post-stroke prognosis"— Presentation transcript:

1 Imaging biomarkers of post-stroke prognosis
Thomas Tourdias 1, 2 NeuroImaging department, Bordeaux University Hospital Neurocentre Magendie, team “Glia-Neuron interactions”, INSERM U1215, Bordeaux University

2 General introduction Rationale
ISCHEMIA Sub-acute DISABILITY / HANDICAP Chronic To inform patients and caregivers To anticipate the type, duration and goals of rehabilitation. To improve patient selection for clinical trials focusing on brain repair

3 General introduction Rationale
ISCHEMIA DISABILITY / HANDICAP Sub-acute Chronic CLINICAL PREDICTORS Age Initial clinical severity

4 General introduction Rationale
ISCHEMIA DISABILITY / HANDICAP Sub-acute Chronic CLINICAL PREDICTORS Age Initial clinical severity IMAGING PREDICTORS Stroke volume

5 General introduction Rationale
ISCHEMIA DISABILITY / HANDICAP Sub-acute Chronic CLINICAL PREDICTORS Age Initial clinical severity IMAGING PREDICTORS Stroke volume Stroke location Hypothesis Quantification of stroke location (more or less complete destruction of a more or less eloquent area) improves the prediction of medium-to-long term outcome.

6 Methods Prospective cohort
“BBS” (Brain Before Stroke) study Funding: “PHRC inter-regional 2012” Prospective 350 patients MRI Clinical evaluation MRI Clinical evaluation MRI Clinical evaluation MRI Clinical evaluation 24h-72h 3 months 6 months 1 year Stroke location COGNITIVE outcome ?

7 Stroke location and cognitive outcome Maps of eloquent regions
Segmentation of stroke Normalization within the MNI space n patients with this given voxel infarcted n’ patients with this given voxel spared Voxel-based Lesion-Symptom Mapping n = 215 patients Mean score of MoCA Comparison Z score

8 Stroke location and cognitive outcome Maps of eloquent regions
Item “naming” from MoCA Item “language” from MoCA Item “visuospatial and executive” from MoCA Item “delayed recall” from MoCA

9 Stroke location and cognitive outcome Maps of eloquent regions
Atlas : Cognitive eloquent areas

10 Stroke location and cognitive outcome Extraction of location-based variables
Atlas : Cognitive eloquent areas Location = number of eloquent voxels that survived a 5% false discovery rate cutoff threshold

11 Stroke location and cognitive outcome Prediction models
Univariate Multivariate (predictors of good cognitive outcome)

12 Stroke location and cognitive outcome Prediction models
Development sample n=215 1-Specificity Sensitivity with location AUC=0.779 without location AUC=0.660 Replication sample n=69 with location AUC=0.771 Sensitivity without location AUC=0.697 1-Specificity Significant added value of stroke location Differences of AUC =0.12 p=0.005

13 Stroke location and cognitive outcome Prediction models
MRI Clinical evaluation 24h-72h 3 months 6 months 1 year Stroke location MOTOR outcome ?

14 Stroke location and motor outcome Maps of eloquent regions
Atlas : Motor eloquent areas mFugl-Meyer Poor outcome mFugl-Meyer ≤84 (n=40) Good outcome mFugl-Meyer >84 (n=167) Baseline NIHSS 15 (1-25) 3 (1-24)† Age, y 77 (46-95) 66 (29-88)† Volume, cm3 38 (1-211) 12 (0-196)† Stoke location 128 (0-2690) 3 (0-1880)† Difference of AUC =0.028 ; 95% CI = [-0,003; 0,068] p=ns

15 Stroke location and motor outcome Hypotheses
Clinical severity is already a strong predictor: interest of stroke location for a targeted sub-population? Quantification of stroke location (more or less complete destruction of a more or less eloquent area) improves the prediction of medium-to-long term outcome. Structural integrity of the pyramidal tract as assessed from early MRI improves the prediction of motor outcome over that provided by initial clinical severity

16 Stroke location and motor outcome Early assessment of motor fiber integrity
Structural integrity of the pyramidal tract as assessed from early MRI improves the prediction of motor outcome over that provided by initial clinical severity 24h-72h MRI Clinical evaluation 1 year iFNr: initial fiber number ratio r=0.7; p<0.0001 fFNr: final fiber number ratio

17 Stroke location and motor outcome Prediction of motor recovery by using initial clinical severity
Structural integrity of the pyramidal tract as assessed from early MRI improves the prediction of motor outcome over that provided by initial clinical severity Y ≈ 0.7 x

18 Stroke location and motor outcome Added value of iFNr compared to initial Fugl-Meyer
Structural integrity of the pyramidal tract as assessed from early MRI improves the prediction of motor outcome over that provided by initial clinical severity Fugl-Meyer =12/100 iFNr=0 Fugl-Meyer =12/100 fFNr=0 Fugl-Meyer =26/100 iFNr=0.4 Fugl-Meyer =79/100 fFNr=0.52

19 Stroke location and motor outcome Added value of iFNr compared to initial Fugl-Meyer
Structural integrity of the pyramidal tract as assessed from early MRI improves the prediction of motor outcome over that provided by initial clinical severity Fugl-Meyer =12/100 iFNr=0 Fugl-Meyer =12/100 fFNr=0 Fugl-Meyer =26/100 iFNr=0.4 Fugl-Meyer =79/100 fFNr=0.52

20 Stroke location and motor outcome Added value of iFNr compared to initial Fugl-Meyer
Structural integrity of the pyramidal tract as assessed from early MRI improves the prediction of motor outcome over that provided by initial clinical severity Subpopulation of severe patients (n=26) Subpopulation of mild-to-moderate patients (n=91) y=0.7x

21 Stroke location and motor outcome Added value of iFNr compared to initial Fugl-Meyer
Structural integrity of the pyramidal tract as assessed from early MRI improves the prediction of motor outcome over that provided by initial clinical severity Subpopulation of severe patients (n=26) y=0.67x

22 Stroke location and motor outcome Conclusion
Accepted paper iFNr measured between 24-72h after the insult provides an early surrogate of chronic pyramidal tract degeneration iFNr provides significant independent added value toward predicting long-term motor impairment This is especially relevant for severely affected patients who demonstrate highly variable recovery

23 Imaging and prognosis Conclusion
ISCHEMIA DISABILITY / HANDICAP Sub-acute Chronic CLINICAL PREDICTORS Age Initial clinical severity IMAGING PREDICTORS Stroke volume Stroke location Perspectives Transcranial magnetic stimulations Plasticity and fMRI

24 Thank you… NeuroImaging department: Pr Dousset, Bordeaux
Neurocentre Magendie INSERM U862: Dr Oliet, Bordeaux Stroke department: Pr Sibon, Bordeaux Students: Fanny Munsch, Antoine Bigourdan FINANCIAL SUPPORT

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