scispace - formally typeset
G

Giovanna Tacconi

Researcher at University of Ferrara

Publications -  12
Citations -  1292

Giovanna Tacconi is an academic researcher from University of Ferrara. The author has contributed to research in topics: Chronic cerebrospinal venous insufficiency & Medicine. The author has an hindex of 8, co-authored 8 publications receiving 1228 citations.

Papers
More filters
Journal ArticleDOI

Chronic cerebrospinal venous insufficiency in patients with multiple sclerosis.

TL;DR: CDMS is strongly associated with CCSVI, a scenario that has not previously been described, characterised by abnormal venous haemodynamics determined by extracranial multiple venous strictures of unknown origin.
Journal ArticleDOI

The value of cerebral Doppler venous haemodynamics in the assessment of multiple sclerosis.

TL;DR: A significant impairment of cerebral venous drainage in patients affected by MS is demonstrated, a mechanism potentially related to increased iron stores, when compared to revised McDonald criteria as a gold standard of MS diagnosis.
Journal ArticleDOI

Intracranial venous haemodynamics in multiple sclerosis

TL;DR: This study of MS patients demonstrated significant haemodynamic alterations detected in veins anatomically related to plaque disposition, which should contribute towards understanding the role of altered venous flow and tissue drainage in the MS inflammatory chain, as well as in the neurodegenerative process.
Journal ArticleDOI

Venous collateral circulation of the extracranial cerebrospinal outflow routes.

TL;DR: The complex gross and radiological anatomy of collateral circulation found activated by the means of EchoColor-Doppler and selective venography in the event of CCSVI is reviewed, focusing particularly on the suboccipital cavernous sinus (SCS), the condylar venous system, the pterygoid plexus, the thyroid veins, and the emiazygous-lumbary venous anastomosis.
Journal ArticleDOI

DNA-array of gene variants in venous leg ulcers: detection of prognostic indicators.

TL;DR: By analyzing simultaneously selected SNPs in candidate genes involved in VLU to identify potentially prognostic markers by means of DNA-array technology, it might be possible to glean precious information in predicting VLU onset or in stratifying patients according to their potential to heal.