Intracranial Aneurysms: Wall Motion Analysis for Prediction of Rupture

Vanrossomme, Axel; Thiran, Jean‐Philippe; Courbebaisse, Guy; Boudjeltia, Karim Zouaoui

doi:10.3174/ajnr.a4310

Cited by 33 publications

(47 citation statements)

References 71 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Highfield-strength 7 T MRI scanners have an extremely high signal-to-noise ratio, allowing the spatial resolution needed to detect variations in aneurysm wall thickness, which may be a marker of rupture risk [38]. Other protocols can define aneurysmal wall motion abnormalities associated with higher risk of rupture [39]. Another advanced imaging technique combines MRA with postprocessing algorithms from computational fluid dynamics to create 4D flow modeling [40,41].…”

Section: Future Developmentsmentioning

confidence: 99%

Imaging of cerebral aneurysms: a clinical perspective

et al. 2016

View full text Add to dashboard Cite

Neuroimaging is a critical element in evaluating and treating patients with cerebral aneurysms. Each neuroimaging technique has unique strengths, weaknesses, and current developments. In this review, we discuss the utility of two primary noninvasive radiological techniques-computed tomography angiography (CTA) and magnetic resonance angiography (MRA)-as well as of digital subtraction angiography (DSA) for evaluation of cerebral aneurysms. These techniques allow comprehensive evaluation of aneurysm size, location, rupture status, and other imaging characteristics that guide clinicians to make appropriate and timely treatment recommendations.

show abstract

Section: Future Developmentsmentioning

confidence: 99%

Imaging of cerebral aneurysms: a clinical perspective

et al. 2016

View full text Add to dashboard Cite

show abstract

“…They usually remain silent until rupture occurs, with a mortality rate of 35–50% and a high rate of morbidity, including long-term disability 2. The incidence is estimated to be approximately 1% per year for aneurysms smaller than 1 cm 2–4…”

Section: Introductionmentioning

confidence: 99%

Volume variation may be a relevant metric in the study of aneurysm pulsatility: a study using ECG-gated 4D-CTA (PULSAN)

Dissaux¹,

Aouni

Nonent

et al. 2019

J NeuroIntervent Surg

View full text Add to dashboard Cite

Background and purposeIntracranial aneurysms are a frequently occurring disease, with an estimated prevalence of 2–5% in the general population. They usually remain silent until rupture occurs, with a mortality rate of 35–50% and a high rate of morbidity, including long-term disability. However, preventative treatments have their own risk of complications and morbi-mortality rates, including stroke and hemorrhage. ECG-gated four-dimensional CT angiography (4D-CTA) allows the acquisition of time-resolved three-dimensional reconstructions. The aim of our study was to evaluate different intracranial aneurysm metrics over the cardiac cycle using ECG-gated 4D-CTA.Materials and methodsECG-gated 4D-CTA datasets were acquired in patients presenting with intracranial aneurysms. Seven aneurysm metrics, including aneurysm height, aneurysm length, ostium width, aspect ratio, ostium area, volume, and volume-to-ostium ratio, were analysed over different cardiac phases. Intra-reader agreement, inter-reader agreement, and inter-cycle agreement were calculated through the intraclass correlation coefficient.ResultsTwenty-one aneurysms from 11 patients were considered for inclusion. Post-processing failed for three aneurysms, and 18 aneurysms were finally analysed. There was good intra-reader agreement for each metric (ICC >0.9). Agreements among three consecutive cardiac cycles were calculated for six aneurysms and were especially good for the volume metric (ICC >0.9). Volume variation appears to be the most relevant metric and seems especially perceptible for aneurysms larger than 5 mm.ConclusionsQuantification of aneurysm volume changes during the cardiac cycle seems quantitatively possible and reproducible, especially for aneurysms larger than 5 mm. Further studies need to be conducted to validate this parameter for intracranial aneurysm assessment.

show abstract

“…clipping, coiling, monitoring) currently incorporates only aneurysm size and location as controlling factors. Yet, multiple studies suggest that the complex interaction of mechanical and physiological factors (vessel deformation, hemodynamics) plays a considerable role during pathogenesis and ultimately rupture 7 – 9 . The underlying hypothesis is that aneurysm deformation could be correlated to corresponding wall stresses, which, in turn, could (considering the biomechanics of vessel structures) be linked to a risk of rupture.…”

Section: Introductionmentioning

confidence: 99%

“…The underlying hypothesis is that aneurysm deformation could be correlated to corresponding wall stresses, which, in turn, could (considering the biomechanics of vessel structures) be linked to a risk of rupture. Respective quantitative data could in principle be valuable information to refine existing guidelines for treatment 9 , but reliability and robustness of existing methods to derive them in standard-of-care image data need to be improved for application in clinical routine.…”

Section: Introductionmentioning

confidence: 99%

A new cerebral vessel benchmark dataset (CAPUT) for validation of image-based aneurysm deformation estimation algorithms

Schetelig

Frölich

Knopp

et al. 2018

Sci Rep

View full text Add to dashboard Cite

Hemodynamic properties and deformation of vessel structures are assumed to be correlated to the initiation, development, and rupture of cerebral aneurysms. Therefore, precise quantification of wall motion is essential. However, using standard-of-care imaging data, approaches for patient-specific estimation of pulsatile deformation are prone to uncertainties due to, e.g., contrast agent inflow-related intensity changes and small deformation compared to the image resolution. A ground truth dataset that allows evaluating and finetuning algorithms for deformation estimation is lacking. We designed a flow phantom with deformable structures that resemble cerebral vessels and exhibit physiologically plausible deformation. The deformation was simultaneously recorded using a flat panel CT and a video camera, yielding video data with higher resolution and SNR, which was used to compute ‘ground truth’ structure deformation measures. The dataset was further applied to evaluate registration-based deformation estimation. The results illustrate that registration approaches can be used to estimate deformation with adequate precision. Yet, the accuracy depended on the registration parameters, illustrating the need to evaluate and finetune deformation estimation approaches by ground truth data. To fill the existing gap, the acquired benchmark dataset is provided freely available as the CAPUT (Cerebral Aneurysm PUlsation Testing) dataset, accessible at https://www.github.com/IPMI-ICNS-UKE/CAPUT.

show abstract

Intracranial Aneurysms: Wall Motion Analysis for Prediction of Rupture

Cited by 33 publications

References 71 publications

Imaging of cerebral aneurysms: a clinical perspective

Imaging of cerebral aneurysms: a clinical perspective

Volume variation may be a relevant metric in the study of aneurysm pulsatility: a study using ECG-gated 4D-CTA (PULSAN)

A new cerebral vessel benchmark dataset (CAPUT) for validation of image-based aneurysm deformation estimation algorithms

Contact Info

Product

Resources

About