Karolina Brzegowy1, Natalia Kowalska2, Bernard Solewski2, Agata Musiał2, Tomasz Kasprzycki2, Izabela Herman-Sucharska3,4, Jerzy A Walocha2. 1. Department of Anatomy, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland. karolina.brzegowy@gmail.com. 2. Department of Anatomy, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland. 3. Department of Radiology, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland. 4. Voxel Diagnostic Medical Center, Krakow, Poland.
Abstract
PURPOSE: Developmental venous anomalies (DVAs) are extreme anatomical venous variations formed by multiple radiating medullary veins, which converge centripetally into a single collecting vein. Their coexistence with symptomatic cavernous malformations (CMs) has been reported in the literature. The aim of this study was to assess the characteristics of DVAs using MRI. METHODS: A total of 6948 head MRIs of adult Caucasian patients were retrospectively analyzed to determine the number and locations of DVAs. We collected the data on the termination of the collecting vein, the prevalence of DVA-related CMs, and MRI FLAIR signal-hyperintensity corresponding to the location of the DVA. RESULTS: At least one DVA was identified in 7.46% of the patients. The prevalence decreased with age, with a Pearson correlation coefficient of - 0.7328. A total of 599 DVAs were identified. Multiple DVAs were found in 10.92% of the patients with DVAs. The DVAs were identified more often in the supratentorial region (73.12%, p < 0.0001), and the most common location was the frontal lobe (35.23%). The collecting vein usually drained into the superficial cerebral veins (68.78%). CMs were observed in 4.14% of the patients with DVAs, and the prevalence showed a positive correlation with age. Signal-intensity abnormalities were identified in the vicinity of 5.18% DVAs. CONCLUSION: Knowledge about characteristics of DVAs and associated anomalies is essential for neuroradiologists and neurosurgeons. The large number of currently available diagnostic studies enables us to assess anatomical variants on a great number of subjects.
PURPOSE:Developmental venous anomalies (DVAs) are extreme anatomical venous variations formed by multiple radiating medullary veins, which converge centripetally into a single collecting vein. Their coexistence with symptomatic cavernous malformations (CMs) has been reported in the literature. The aim of this study was to assess the characteristics of DVAs using MRI. METHODS: A total of 6948 head MRIs of adult Caucasian patients were retrospectively analyzed to determine the number and locations of DVAs. We collected the data on the termination of the collecting vein, the prevalence of DVA-related CMs, and MRI FLAIR signal-hyperintensity corresponding to the location of the DVA. RESULTS: At least one DVA was identified in 7.46% of the patients. The prevalence decreased with age, with a Pearson correlation coefficient of - 0.7328. A total of 599 DVAs were identified. Multiple DVAs were found in 10.92% of the patients with DVAs. The DVAs were identified more often in the supratentorial region (73.12%, p < 0.0001), and the most common location was the frontal lobe (35.23%). The collecting vein usually drained into the superficial cerebral veins (68.78%). CMs were observed in 4.14% of the patients with DVAs, and the prevalence showed a positive correlation with age. Signal-intensity abnormalities were identified in the vicinity of 5.18% DVAs. CONCLUSION: Knowledge about characteristics of DVAs and associated anomalies is essential for neuroradiologists and neurosurgeons. The large number of currently available diagnostic studies enables us to assess anatomical variants on a great number of subjects.
Authors: Jillian W Lazor; Joel M Stein; James Eric Schmitt; Kathryn A Davis; Seyed Ali Nabavizadeh Journal: J Neuroimaging Date: 2020-05-08 Impact factor: 2.486
Authors: Diego San Millán Ruíz; Jacqueline Delavelle; Hasan Yilmaz; Philippe Gailloud; Enrico Piovan; Alberto Bertramello; Francesca Pizzini; Daniel A Rüfenacht Journal: Neuroradiology Date: 2007-08-17 Impact factor: 2.804
Authors: J M Zabramski; T M Wascher; R F Spetzler; B Johnson; J Golfinos; B P Drayer; B Brown; D Rigamonti; G Brown Journal: J Neurosurg Date: 1994-03 Impact factor: 5.115