Clinical Improvement after Shunt Surgery in Patients with Idiopathic Normal Pressure Hydrocephalus Can Be Quantified by Diffusion Tensor Imaging

DTI characteristics of white matter regions reflect clinical improvement after shunt surgery in patients with iNPH. They tend to improve toward physiologic DTI values, thus further accentuating the benefit of shunt surgery in both clinical and radiologic pictures.

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Publication Details

Journal
American Journal of Neuroradiology
Published
2025-03-27
DOI
https://doi.org/10.3174/ajnr.a8571
Citations
5
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
4.55

Funders

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article

Clinical Improvement after Shunt Surgery in Patients with Idiopathic Normal Pressure Hydrocephalus Can Be Quantified by Diffusion Tensor Imaging

Ondřej Rýdlo, David Netuka, Vojtěch Sedlák, Adéla Bubeníková et al.
5 citations
American Journal of Neuroradiology
Cerebrospinal fluid and hydrocephalus
4.55
article

Clinical Improvement after Shunt Surgery in Patients with Idiopathic Normal Pressure Hydrocephalus Can Be Quantified by Diffusion Tensor Imaging

Ondřej Rýdlo, David Netuka, Vojtěch Sedlák, Adéla Bubeníková, Aleš Vlasák, Petr Skalický, Robert P. Lesko, Ondřej Bradáč, Kryštof Haratek, Vladimír Beneš
article en
5 citations

Abstract

DTI characteristics of white matter regions reflect clinical improvement after shunt surgery in patients with iNPH. They tend to improve toward physiologic DTI values, thus further accentuating the benefit of shunt surgery in both clinical and radiologic pictures.

American Journal of NeuroradiologyVol. 46(4)
Charles University (CZ), University Hospital in Motol (CZ), Military University Hospital Prague (CZ)
Ministerstvo Zdravotnictví Ceské Republiky
Openalex Percentile: Top 6%
Cerebrospinal fluid and hydrocephalus
4.55
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Clinical Improvement after Shunt Surgery in Patients with Idiopathic Normal Pressure Hydrocephalus Can Be Quantified by Diffusion Tensor Imaging — Ondřej Rýdlo, David Netuka, et al. · American Journal of Neuroradiology (2025) | TGRS Research Map | TGRS