ArticleFrontiers in neurology2022
Are preoperative phase-contrast CSF flow parameters ideal for predicting the outcome of shunt surgery in patients with idiopathic normal pressure hydrocephalus?
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Systematic review and meta-analysis of MRI-based cerebrospinal fluid flow reference values in normal pressure hydrocephalus: unveiling diagnostic inconsistencies.Neuroradiology · 2025Pooled it
- Volumes and velocities: Meta-analysis of PC-MRI studies in normal pressure hydrocephalus.Acta neurochirurgica · 2024Pooled it
- Speed of clinical response to external lumbar drainage as a predictor of outcome of ventriculoperitoneal shunt in normal pressure hydrocephalus: A prospective cohort study.Surgical neurology international · 2026Article
- Prognostic value of magnetic resonance imaging-visible perivascular spaces in patients with idiopathic normal pressure hydrocephalus.Quantitative imaging in medicine and surgery · 2026Article
- Prognostic value of perivascular spaces, diffusion tensor imaging-derived indices, and choroid plexus in idiopathic normal pressure hydrocephalus.Neurosurgical review · 2025Article
- Clinical application of single-shot fast spin-echo sequence for cerebrospinal fluid flow MR imaging.Radiological physics and technology · 2024Article
- Normal Pressure Hydrocephalus.Cureus · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Phase-contrast magnetic resonance (PC-MR) is widely used in patients with idiopathic normal pressure hydrocephalus (iNPH), but its role in predicting prognosis remains controversial. To evaluate the effectiveness of preoperative PC-MR CSF flow measurement in predicting the clinical response to shunt surgery in patients with iNPH. Methods: Forty-six patients with definite iNPH were included between January 2018 and January 2022. PC-MR was used to evaluate CSF peak velocity (PV), average velocity, aqueductal stroke volume (ASV), net ASV, and net flow. The modified Rankin Scale (mRS), iNPH grading scale (iNPHGS), Mini-Mental State Examination (MMSE), and Timed 3-m Up and Go Test (TUG) were used for clinical assessment. The primary endpoint was the improvement in the mRS score 1 year after surgery, and the secondary endpoints were the iNPHGS, MMSE, and TUG scores at 1 year. Differences between shunt improvement and non-improvement groups, based on the clinical outcomes, were compared using the Mann-Whitney U-test, logistic regression models, and receiver operating characteristic curves. Correlations between CSF flow parameters and the baseline clinical outcomes were assessed using Spearman's correlation coefficient. Results: No CSF parameters significantly differed between shunt improvement and non-improvement groups based on mRS and secondary outcomes. And all CSF parameters showed significant overlap in both shunt improvement and non-improvement groups based on mRS and secondary outcomes. Significant correlations between the mRS and iNPHGS scores, and PV, ASV, and net ASV were observed. Conclusion: While some preoperative PC-MR CSF flow parameters reflected the symptom severity of iNPH to a certain extent, they alone might not be ideal markers of shunt responsiveness.
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