Publications by authors named "I C van der Schaaf"
The circle of Willis (CoW) is a circular arrangement of arteries in the human brain, exhibiting significant anatomical variability. The CoW is extensively studied in relation to neurovascular pathologies, with certain anatomical variants previously linked to ischemic stroke and intracranial aneurysms. In an individual CoW, arteries might be absent (aplasia) or underdeveloped (hypoplasia, diameter < 1 mm).
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- Pathogenic variants in the desmoplakin (DSP) gene lead to a unique type of cardiomyopathy that doesn't fit neatly into existing categories like DCM, NDLVC, or ARVC, with limited past studies on potential predictors of severe outcomes.
- Researchers analyzed 800 patients with DSP variants from a global network over an average of 3.7 years, finding that 17.4% experienced sustained ventricular arrhythmias (VAs) and 9.0% had heart failure (HF) hospitalizations.
- Key risk factors for developing VAs included female sex, history of non-sustained and sustained VAs, and lower left ventricular ejection fraction, while T-wave inversion was linked to HF
Background: Radiological screening for intracranial aneurysms (IAs) may identify other relevant intracranial findings. We investigated their prevalence on MR in persons screened for IAs.
Methods: We included all persons who were screened for the presence of IAs with brain MRI/MRA between 1996 and 2022 because of a family history of aneurysmal subarachnoid haemorrhage (aSAH) or autosomal dominant polycystic kidney disease (ADPKD).
Article Synopsis
- Pathogenic variants in the desmoplakin (DSP) gene are linked to a specific type of arrhythmogenic cardiomyopathy, which increases the risk of serious heart rhythm issues, but current evaluation methods are unreliable for these patients.
- A study was conducted with patients from the DSP-ERADOS registry to track the occurrence of sustained ventricular arrhythmia (VA) over time, using a detailed statistical analysis to create a new clinical prediction tool.
- The research identified five key clinical factors that can help predict the risk of developing sustained VA, resulting in a new DSP risk score that demonstrated strong prediction capabilities in both the initial and external testing groups.
Background And Purpose: Prediction of aneurysm instability is crucial to guide treatment decisions and to select appropriate patients with unruptured intracranial aneurysms (IAs) for preventive treatment. High-resolution 4D MR flow imaging and 3D quantification of aneurysm morphology could offer insights and new imaging markers for aneurysm instability. In this cross-sectional study, we aim to identify 4D MR flow imaging markers for aneurysm instability by relating hemodynamics in the aneurysm sac to 3D morphologic proxy parameters for aneurysm instability.
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