Three-dimensional wall-thickness distributions of unruptured intracranial aneurysms characterized by micro-computed tomography.

Aneurysmal rupture is associated with wall thinning, but the mechanism is poorly understood. This study aimed to characterize the three-dimensional wall-thickness distributions of unruptured intracranial aneurysms. Five aneurysmal tissues were investigated using micro-computed tomography. First, the wall thickness was related to the aneurysmal wall appearances during surgery. The median wall thicknesses of the translucent and non-translucent walls were 50.56 and 155.93 µm, respectively (p < 0.05) with significant variation in the non-translucent wall thicknesses (p < 0.05). The three-dimensional observations characterized the spatial variation of wall thicknesses. Thin walls showed a uniform thickness profile ranging from 10 to 40 µm, whereas thick walls presented a peaked thickness profile ranging from 300 to 500 µm. In transition walls, the profile undulated due to the formation of focal thin/thick spots. Overall, the aneurysmal wall thicknesses were strongly site-dependent and spatially varied by 10 to 40 times within individual cases. Aneurysmal walls are exposed to wall stress driven by blood pressure. In theory, the magnitude of wall stress is inversely proportional to wall thickness. Thus, the observed spatial variation of wall thickness may increase the spatial variation of wall stress to a similar extent. The irregular wall thickness may yield stress concentration. The observed thin walls and focal thin spots may be caused by excessive wall stresses at the range of mechanical failure inducing wall injuries, such as microscopic tears, during aneurysmal enlargement. The present results suggested that blood pressure (wall stress) may have a potential of acting as a trigger of aneurysmal wall injury.

Congenital long QT syndrome presenting with a history of epilepsy: misdiagnosis or relationship between channelopathies of the heart and brain?

A 60-year-old man with a long history of epilepsy was referred for cardiologic evaluation. An earlier diagnosis of epilepsy was made on the basis of his clinical manifestation of tonic-clonic seizure. Electroencephalography (EEG) demonstrated paroxysmal slow waves in response to intermittent photic stimulation. However, electrocardiography (ECG) revealed bradycardia (heart rate, 48 bpm) and marked QT prolongation (QTc 477 ms). ECG monitoring confirmed remarkable QT prolongation; ventricular ectopy triggering torsades de pointes was recorded during seizure. The patient underwent temporary antitachycardia pacing, and an implantable cardioverter defibrillator (ICD) was finally implanted. Long QT syndrome (LQTS) genetic testing was conducted and a diagnosis of LQT2 was confirmed by the identification of mutation in KCNH2 (HERG). LQTS is associated with abnormal channel function due to mutations in ion channel genes. Epilepsy, a disorder of neural function, is also associated with abnormal channel function. The possibility that some channelopathies can manifest as both LQTS and epilepsy is discussed.