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NCT07111975
ANEURYSM@RISK: Automatic Intracranial Aneurysm Quantification and Feature Learning Modelling to Optimize Intracranial Aneurysm Rupture Prediction
trial in Intracranial Aneurysms in 3,800 participants. Participants enrolled and being followed up; not accepting new ones.
1 June 2028
Quick facts
| Lead sponsor | UMC Utrecht |
|---|---|
| Status | Active, enrolled |
| Study type | OBSERVATIONAL |
| Enrollment | 3,800 |
| Start date | 1 January 2025 |
| Primary completion | 1 June 2028 |
| Estimated completion | 1 December 2028 |
| Sites | 1 location across Netherlands |
Conditions studied
- Intracranial Aneurysms — all drugs for Intracranial Aneurysms →
- Unruptured Intracranial Aneurysm — all drugs for Unruptured Intracranial Aneurysm →
- Subarachnoid Hemorrhage (SAH) From Ruptured Aneurysm — all drugs for Subarachnoid Hemorrhage (SAH) From Ruptured Aneurysm →
Sponsor
UMC Utrecht — full company profile →
Who can join
18 and older, any sex, with Intracranial Aneurysms or Unruptured Intracranial Aneurysm. Patients with the condition only — healthy volunteers not accepted.
What's being measured
Primary outcomes are the specific endpoints the trial is designed to prove or disprove.
-
Discriminative performance of AI model for aneurysm instability prediction
Time frame: At time of model validation; Up to 36 months from study start
Model performance measured by C-statistic (AUC) with a target threshold of ≥ 0.80. Instability is defined as aneurysm growth and/or rupture during follow-up.
Sponsor's own description
ANEURYSM@RISK is an observational study aiming to develop and validate an artificial intelligence (AI)-based prediction model for the growth and rupture of intracranial aneurysms (IAs). By applying automated 3D segmentation and morphological quantification of IAs from MR angiography (MRA) scans, the model is intended to provide clinicians with objective and reproducible risk estimates of aneurysm instability. The study utilizes retrospective imaging data from multiple European centers, including UMC Utrecht, AP-HP Paris, and University Medical Center Hamburg-Eppendorf (UKE). A clinical vignette study will evaluate the model's clinical utility and user experience among interventional radiologists. This study is exempt from medical ethics review (non-WMO in the Netherlands), as it involves only existing, anonymized data and imposes no additional burden on patients.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07111975
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
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Other UMC Utrecht trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07111975 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by UMC Utrecht
- Last refreshed: 5 August 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07111975.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing