Standard transcranial doppler as a resource-efficient first step to screen for MRA-defined cerebral vasculopathy in adults with sickle cell disease
Notice bibliographique
Résumé
Abstract Background Cerebral vasculopathy in sickle cell disease (SCD) is associated with thrombotic and hemorrhagic stroke. Magnetic resonance angiography (MRA) can detect SCD-related arterial stenosis and aneurysms across the lifespan. In children, transcranial Doppler (TCD) is widely used to screen for elevated stroke risk and guide early intervention. In adults, however, the optimal neurosurveillance strategy remains undefined. While advanced modalities such as transcranial color-coded duplex sonography (TCCD) have shown high diagnostic accuracy compared to MRA, their availability and technical complexity may limit widespread implementation. Standard TCD, a simpler and more accessible tool, remains underexplored in this context. At our institution, all adults with SCD have access to routine TCD as part of standard care since 2021. If TCD-measured cerebral blood flow velocities correlate with MRA-defined vasculopathy, TCD could serve as a resource-efficient first step to identify adults who require further neurovascular imaging, particularly in resource-constrained settings. Objective The primary objective of this study was to assess whether mean flow velocities (MFV) measured by standard transcranial Doppler (TCD) correlate with MRA-defined cerebral vasculopathy (stenosis or aneurysm) in adults with SCD. We also explored whether a threshold MFV in the middle cerebral artery (MCA), the most routinely assessed vessel, could help rule out significant abnormalities on MRA, positioning TCD as a resource-efficient first step in neurosurveillance. Methods We conducted a retrospective study of adults (≥18 years) with SCD who underwent both routine TCD and MRA between 09/2021 and 07/2024 at a tertiary care center. TCD was performed by one of two certified vascular neurologists, measuring MFV in the middle (MCA), anterior (ACA), and posterior (PCA) cerebral arteries; bilateral values were averaged. MRA was performed using gadolinium-enhanced sequences, and radiology reports were reviewed for the presence of arterial stenosis or aneurysm. MFV were compared between patients with and without MRA-defined vasculopathy using independent samples t-tests. The study was approved by the local research ethics board. Results A total of 187 patients were included. The mean age was 35 ±13 years (range 18–79), and 104 (56%) were women. Hemoglobin phenotypes were evenly distributed, with 91 patients (49%) having SS or Sβ⁰-thalassemia and 96 (51%) having SC or Sβ⁺-thalassemia. The mean hemoglobin level was 11 ± 17 g/dL. One patient had a history of overt stroke. Nine patients (4.8%) had at least one MRA-defined stenosis in any of the 3 large vessels. These patients displayed significantly higher MFV in the MCA, but not in the ACA and PCA, as shown below: MCA MFV (cm/s); stenosis / no stenosis: (81 +/- 20) / (67 +/- 17), p = 0.012*. ACA MFV (cm/s); stenosis / no stenosis: (56 +/- 12) / (53 +/- 13), p = 0.230. PCA MFV (cm/s); stenosis / no stenosis: (47 +/- 9) / (38 +/- 11), p = 0.339. Additionally, all but 3 patients with at least one MRA-defined stenosis (any territory) had TCD-measured MFV ≥ 60 cm/s in the MCA (positive predictive value [PPV] 5%, negative predictive value [NPV] 96%). Thirty-three patients (17.6%) had at least one MRA-defined aneurysm. Likewise, they also displayed significantly higher MFV in the MCA, but not in the ACA and PCA, as shown below: MCA MFV (cm/s); aneurysm / no aneurysm: (75 +/- 17) / (66 +/- 17), p = 0.005*. ACA MFV (cm/s); aneurysm / no aneurysm: (56 +/- 12) / (52 +/- 13), p = 0.069. PCA MFV (cm/s); aneurysm / no aneurysm: (39 +/- 9) / (38 +/- 11), p = 0.353 Similarly, all but 2 patients with at least one MRA-defined aneurysm (any territory) had TCD-measured MFV ≥ 60 cm/s in the MCA territory (PPV 28%, NPV 97%). Conclusions Higher MFV in the MCA territory is associated with both MRA-defined stenoses and aneurysm across the 3 major cerebral arteries. An MCA MFV below 60 cm/s demonstrated a high negative predictive value for excluding these abnormalities. As an inexpensive and accessible tool, standard TCD may serve as a useful first-line screening modality in adults with SCD, particularly in resource-limited settings. These associations may reflect compensatory hyperemia or shear stress–related vascular remodeling, both of which warrant further investigation. Longitudinal studies are needed to validate the role of TCD in neurosurveillance and risk stratification.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».