The purpose of the bCAN study is to create a prospective collection of multimodal data and human samples, linked to the French Intracranial Aneurysm Registry (FRAN). The aim of bCAN is to enable risk stratification of ruptured ICAs by redefining "intracranial aneurysm disease". The description of genotypically and phenotypically specific subgroups of cases will pave the way for improved patient management based on new diagnostic/prognostic strategies among AIC carriers, either in a familial context, or at the level of the general population.
The main objective of bCAN study is to build a predictive model of intracranial aneurysm phenotypes through the combination of information on genetic mutations, imaging findings and ICA rupture characteristics. The secondary objectives of the bCAN study are (i) to study morphological characterization of ICA and vascular bifurcations, (ii) to deepen knowledge of genotype/clinical and biological phenotype relationships according to the genes identified in the different families, (iii) to research and validate the relationships between genotypes and phenotypes (including rupture) of ICA in a large population of sporadic ICA cases.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
1,100
Collection of blood or saliva
Nantes University Hospital
Nantes, Loire-Atlantique, France
RECRUITINGCHU Amiens
Amiens, France
NOT_YET_RECRUITINGCHU Angers
Angers, France
NOT_YET_RECRUITINGCHU Besançon
Besançon, France
NOT_YET_RECRUITINGCHU Bordeaux Hôpital Pellegrin
Bordeaux, France
RECRUITINGCHU de Brest
Brest, France
RECRUITINGCHU Caen-Normandie
Caen, France
RECRUITINGCHU Clermont-Ferrand
Clermont-Ferrand, France
RECRUITINGCHU Limoges
Limoges, France
NOT_YET_RECRUITINGAPHM
Marseille, France
NOT_YET_RECRUITING...and 16 more locations
Performance of a predictive model allowing the classification of ICA subphenotypes
The performance of a predictive model allowing the classification of ICA subphenotypes will be analysed through the study of genetic results, quantitative features extracted from imaging and clinical data on rupture
Time frame: 36 months
Characterization of arterial bifurcations
Quantitative morphological measurements of arterial bifurcations assessed using image processing tools enabling automatic characterization (artery diameters (in mm); artery cross-sections (in mm²); angles separating arteries (in degrees)
Time frame: 36 months
Characterization of aneurysmal sacs
Quantitative morphological measurements of aneurysmal sacs assessed using image processing tools enabling automatic characterization (volume (in mm³); external surface area of the envelope (mm²); neck area (mm²))
Time frame: 36 months
Screening of genetic mutations
Presence of genetic mutations in patients with intracranial aneurysms compared with a reference population, but also in a familial context. Genetic variations will be studied by whole exome sequencing
Time frame: 36 months
Correlation between genotypes and phenotypes
Correlations between genetic mutations and the different clinical and biological phenotypes described in patients with sporadic ICA
Time frame: 36 months
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