A K Dempfle1, A Harloff2, F Schuchardt3, J Bäuerle4, S Yang1, H Urbach1, K Egger1,5. 1. Department of Neuroradiology, Medical Center, University of Freiburg, Freiburg, Germany. 2. Department of Neurology and Clinical Neurophysiology, Medical Center, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany. 3. Department of Neurology and Clinical Neurophysiology, Medical Center, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany. florian.schuchardt@uniklinik-freiburg.de. 4. Department of Neurology, Klinikum Mittelbaden, Rastatt, Germany. 5. Freiburg Brain Imaging Center, Medical Center, University of Freiburg, Freiburg, Germany.
Abstract
PURPOSE: Susceptibility-weighted imaging (SWI) visualizes small cerebral veins with high sensitivity and could, thus, enable quantification of hemodynamics of deep medullary veins. We aimed to evaluate volume changes of deep medullary veins in patients with acute cerebral venous sinus thrombosis (CVST) over time in comparison to healthy controls. METHODS: All magnetic resonance imaging (MRI) experiments were executed at 3 T using a 32-channel head coil. Based on SWI and semiautomatic postprocessing (statistical parametric mapping [SPM8] and ANTs), the volume of deep medullary veins was quantified in 14 patients with acute CVST at baseline and the 6‑month follow-up, as well as in 13 healthy controls undergoing repeated MRI examination with an interscan interval of at least 1 month. RESULTS: Deep medullary venous volume change over time was significantly different between healthy controls and patient groups (p < 0.001). Patients with superior sagittal sinus thrombosis (SSST) showed a significant decline from baseline to follow-up measurements (9.8 ± 4.9 ml versus 7.5 ± 4.2 ml; p = 0.02), whereas in patients with transverse sinus thrombosis (TST) and healthy controls no significant volume changes were observable. CONCLUSIONS: Venous volume quantification was feasible and reproducible both in healthy volunteers and in patients. The decrease of venous volume in patients over time represents improvement of venous drainage, reduction of congestion, and normalization of microcirculation due to treatment. Thus, quantification of venous microcirculation could be valuable for estimation of prognosis and guidance of CVST therapy in the future.
PURPOSE: Susceptibility-weighted imaging (SWI) visualizes small cerebral veins with high sensitivity and could, thus, enable quantification of hemodynamics of deep medullary veins. We aimed to evaluate volume changes of deep medullary veins in patients with acute cerebral venous sinus thrombosis (CVST) over time in comparison to healthy controls. METHODS: All magnetic resonance imaging (MRI) experiments were executed at 3 T using a 32-channel head coil. Based on SWI and semiautomatic postprocessing (statistical parametric mapping [SPM8] and ANTs), the volume of deep medullary veins was quantified in 14 patients with acute CVST at baseline and the 6‑month follow-up, as well as in 13 healthy controls undergoing repeated MRI examination with an interscan interval of at least 1 month. RESULTS: Deep medullary venous volume change over time was significantly different between healthy controls and patient groups (p < 0.001). Patients with superior sagittal sinus thrombosis (SSST) showed a significant decline from baseline to follow-up measurements (9.8 ± 4.9 ml versus 7.5 ± 4.2 ml; p = 0.02), whereas in patients with transverse sinus thrombosis (TST) and healthy controls no significant volume changes were observable. CONCLUSIONS: Venous volume quantification was feasible and reproducible both in healthy volunteers and in patients. The decrease of venous volume in patients over time represents improvement of venous drainage, reduction of congestion, and normalization of microcirculation due to treatment. Thus, quantification of venous microcirculation could be valuable for estimation of prognosis and guidance of CVST therapy in the future.
Authors: Nicholas J Tustison; Brian B Avants; Philip A Cook; Yuanjie Zheng; Alexander Egan; Paul A Yushkevich; James C Gee Journal: IEEE Trans Med Imaging Date: 2010-04-08 Impact factor: 10.048
Authors: K Einhäupl; J Stam; M-G Bousser; S F T M De Bruijn; J M Ferro; I Martinelli; F Masuhr Journal: Eur J Neurol Date: 2010-10 Impact factor: 6.089
Authors: José M Ferro; Patrícia Canhão; Jan Stam; Marie-Germaine Bousser; Fernando Barinagarrementeria Journal: Stroke Date: 2004-02-19 Impact factor: 7.914
Authors: John H Zhang; Andre Obenaus; David S Liebeskind; Jiping Tang; Richard Hartman; William J Pearce Journal: J Cereb Blood Flow Metab Date: 2017-09-19 Impact factor: 6.200
Authors: Hedieh Khalatbari; Jason N Wright; Gisele E Ishak; Francisco A Perez; Catherine M Amlie-Lefond; Dennis W W Shaw Journal: Pediatr Radiol Date: 2020-10-22