NCT07319013

Brief Summary

The goal of this observational study is to evaluate whether transcranial Doppler ultrasound, combined with artificial intelligence (AI), can help identify intracerebral haemorrhage (ICH) in people with acute stroke (both men and women, adults of all ages) within 48 hours of symptom onset. The main questions it aims to answer are: Is it feasible to perform standardized protocol transcranial ultrasound in acute stroke patients? Can AI models trained on ultrasound images accurately distinguish haemorrhagic stroke ("ICH suspected") from non-haemorrhagic stroke? There is no comparison group, because all participants will undergo both CT (as standard care) and ultrasound (research imaging), and the AI models will compare their ultrasound-based predictions against CT-confirmed diagnoses. Participants will: undergo a non-invasive transcranial ultrasound scan after CT confirms the type of stroke allow researchers to collect coded ultrasound images for AI model training provide clinical and imaging information (already collected as part of routine care) to help evaluate factors related to diagnostic accuracy No treatments or changes to clinical care will be introduced as part of the study.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
500

participants targeted

Target at P75+ for all trials

Timeline
13mo left

Started Mar 2025

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress52%
Mar 2025Jun 2027

Study Start

First participant enrolled

March 14, 2025

Completed
9 months until next milestone

First Submitted

Initial submission to the registry

December 7, 2025

Completed
1 month until next milestone

First Posted

Study publicly available on registry

January 6, 2026

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2026

Expected
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2027

Last Updated

January 6, 2026

Status Verified

December 1, 2025

Enrollment Period

1.7 years

First QC Date

December 7, 2025

Last Update Submit

December 19, 2025

Conditions

Keywords

strokeintracerebral hemorrageIschemic StrokeHemorrhagic Stroketranscranial ultrasoundTranscranial DopplerPortable UltrasoundNeurosonologyArtificial IntelligenceMachine LearningDiagnostic AccuracyPrehospital CareFeasibility StudyDeep Learning

Outcome Measures

Primary Outcomes (1)

  • Feasibility of standardized transcranial ultrasound acquisition in acute stroke

    Feasibility will be measured as the proportion of patients in whom a diagnostic-quality transcranial ultrasound window is obtained (window quality grade 1 or 2). All examinations will follow the same standardized acquisition protocol, ensuring methodological consistency across operators. Diagnostic window success rate (%) will serve as the primary outcome.

    At enrollment time (T0)

Secondary Outcomes (2)

  • Exam acquisition time under a standardized protocol

    At enrollment time (T0)

  • Accuracy of AI-based classification of intracerebral haemorrhage using standardized TCD acquisitions

    From enrollment to the completion of imaging data collection at 16 months

Other Outcomes (2)

  • Operator-level variability in acquisition performance using the standardized protocol

    At enrollment time (T0)

  • Operator-level variability in acquisition performance using the standardized protocol

    At enrollment time (T0)

Study Arms (1)

Acute stroke patients

Single cohort of adults with suspected acute stroke (\<48 hours from symptom onset), including both ischaemic and intracerebral haemorrhagic stroke. All participants will undergo standard diagnostic evaluation with computed tomography (CT). A research transcranial Doppler ultrasound (TCD) examination will then be performed using a standardized acquisition protocol. Coded sonographic data will be used to train and evaluate artificial intelligence (AI) models for the classification of intracerebral haemorrhage ("ICH suspected" vs. "No ICH"). No intervention or change in clinical management is introduced as part of the study.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study population consists of adult patients (≥18 years) presenting with suspected acute stroke, either ischaemic or intracerebral haemorrhage. All participants undergo standard-of-care CT imaging to confirm diagnosis. Only supratentorial strokes are included, as patients with infratentorial haemorrhage or isolated subarachnoid haemorrhage are excluded. Eligible patients must be able to undergo transtemporal transcranial Doppler ultrasound using a standardized acquisition protocol. The cohort includes both EMS-transported and in-hospital stroke cases. Participants represent a typical real-world acute stroke population, including individuals with varying stroke severity, vascular risk factors, and clinical profiles. No modifications to clinical management occur as part of the study. Ultrasound acquisition and data collection are purely observational and performed after CT confirmation.

You may qualify if:

  • Adult patients (age ≥18 years).
  • Clinical diagnosis of acute stroke (ischemic or intracerebral hemorrhage).
  • Able to undergo transtemporal transcranial ultrasound according to the standardized protocol (no clinical instability)
  • Informed consent obtained from the patient or legally authorized representative, per local regulations.

You may not qualify if:

  • Infratentorial hemorrhage (e.g., cerebellar or brainstem hemorrhage), due to limitations of transtemporal insonation.
  • Isolated subarachnoid hemorrhage without parenchymal involvement.
  • Hemodynamic instability or medical conditions requiring immediate life-saving intervention that preclude safe ultrasound recording.
  • Known skull defects or prior craniectomy on the side required for contralateral insonation.
  • Any condition that, in the opinion of the investigators, would interfere with protocol adherence or data accuracy.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hospital Universitario Vall D'Hebron

Barcelona, Catalonia, 08035, Spain

RECRUITING

Related Publications (1)

  • Simonetti R, Canals P, Gonzalez Riveros JD, Alanis-Bernal M, Pancorbo O, Rodriguez-Luna D. Feasibility of an AI-assisted transcranial duplex sonography protocol for early detection of intracerebral haemorrhage: the HYPER-AI-SCAN single-centre prospective study. BMJ Open. 2025 Nov 19;15(11):e102903. doi: 10.1136/bmjopen-2025-102903.

MeSH Terms

Conditions

StrokeCerebral HemorrhageIschemic StrokeHemorrhagic Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesVascular DiseasesCardiovascular DiseasesIntracranial HemorrhagesHemorrhagePathologic ProcessesPathological Conditions, Signs and Symptoms

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 7, 2025

First Posted

January 6, 2026

Study Start

March 14, 2025

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

June 1, 2027

Last Updated

January 6, 2026

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will not share

IPD will not be shared because the study collects sensitive clinical and imaging information, and no formal data-sharing agreements or secure access frameworks are currently in place. Sharing policies may be reconsidered if a structured multicenter collaboration with appropriate data protections is established.

Locations