FLAIR SCHOLES^ELVA IRENE
doneResults
S3: ahi-results/research/flair/78ed5f4c/
Fazekas Scores
| Region | Grade | Interpretation |
|---|---|---|
| Deep WMH (DWMH) | 2 | Beginning confluence |
| Periventricular WMH (PVH) | 3 | Large confluent areas |
Volumetric features
| Feature | Value |
|---|---|
| dwmh_volume_ml | 8.0626 |
| dwmh_largest_component_ml | 2.3141 |
| dwmh_component_count | 40.0000 |
| pvh_volume_ml | 34.0653 |
Open in Slicer
👁 Slicer 1
👁 Slicer 2
👁 Slicer 3
👁 Slicer 4
Click Prepare workspace — volumes are downloaded from S3 and a pre-configured Slicer scene is generated (FLAIR + registered CT + WMH label).
Clinical Data (NEL · Scrawl #933)
Presentation
- Hospital
- Tweed Hospital
- Syndrome
- Stroke
- Diagnosis
- Acute ischaemic stroke for endovascular clot retrieval without thrombolysis
- Age
- 87.0
- Gender
- Unknown
- Admission
- 2021-07-08 13:13
Severity & Outcome
- NIHSS day 0
- 21.0
- BP
- 145.0/90.0 mmHg
- Heart rate
- 88.0 bpm
- Premorbid mRS
- 0: No symptoms.
- Premorbid mRS (dc)
- 1.000000
- 90-day mRS
- 6.000000
Timing
- Last known well
- 2021-07-07 16:00
- CT scan
- 2021-07-08 13:36
- ECR performed
- True
- Neurology contact
- 2021-07-08 13:18
- Not thrombolysed
- Established infarct on Non Con CTB
Risk Factors
- AF
- False
- Hypertension
- True
- Diabetes
- No
- Hypercholesterolaemia
- False
- Prior stroke
- False
- Prior TIA
- True
- Smoking
- No
Pre-admission Medications
- Antihypertensive
- True
- Antiplatelet
- True
- Anticoagulant
- False
- Statin
- False
Imaging Volumes — AI vs Clinical Record
| Measure | AI (mL) | Clinical record (mL) | Difference |
|---|---|---|---|
| CTP Core | — | 0.0 | — |
| CTP Penumbra | — | 53.0 | — |
| DWI Core | — | — | — |
CTP finding: Acute perfusion lesion · Quality: Good
Occlusion: Left M1 middle cerebral artery
Pipeline log
Starting pipeline — mode=FLAIR-only Downloading FLAIR DICOMs from AHI... Converting FLAIR DICOMs to NIfTI... FLAIR: /srv/research/flair/78ed5f4c/nifti/flair/flair.nii.gz No CT provided — skipping co-registration. Submitting FLAIR to MONAILabel (wmh_fazekas)... WMH segmentation done — DWMH grade=2 PVH grade=3 Uploading results to S3...