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Enregistrement W4417011492 · doi:10.1182/blood-2025-4734

Standard transcranial doppler as a resource-efficient first step to screen for MRA-defined cerebral vasculopathy in adults with sickle cell disease

2025· article· en· W4417011492 sur OpenAlexaff
Olivier Pouliot, Jonathan St-Onge, Chrystelle Charles, Costa Kazadi, Christian Stapf, Grégory Jacquin, Stéphanie Forté

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensHatch (Canada)HEC MontréalUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesnon disponible
Mots-clésTranscranial DopplerNeurovascular bundleMiddle cerebral arteryStroke (engine)Magnetic resonance imagingMagnetic resonance angiographyCerebral arteriesStenosisDisease

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,003
Tête enseignante GPT0,209
Écart entre enseignants0,206 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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