Radiological predictors of shunt response in the diagnosis and treatment of idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis - Report - MDSpire

Radiological predictors of shunt response in the diagnosis and treatment of idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis

  • By

  • Santhosh G. Thavarajasingam

  • Mahmoud El-Khatib

  • Kalyan Vemulapalli

  • Hector A. Sinzinkayo Iradukunda

  • Sajeenth Vishnu K.

  • Robin Borchert

  • Salvatore Russo

  • Per K. Eide

  • November 26, 2022

  • 0 min

Share

Imaging Indicators Predicting Shunt Response in Idiopathic Normal Pressure Hydrocephalus

Overview

This systematic review and meta-analysis evaluated radiological markers for predicting shunt responsiveness in idiopathic normal pressure hydrocephalus (iNPH). The study highlights callosal angle, Evan’s index, and disproportionately enlarged subarachnoid space hydrocephalus (DESH) as key imaging features with varying predictive accuracies. It addresses limitations in prior reviews by focusing on studies comparing shunt responders versus non-responders.

Background

Idiopathic normal pressure hydrocephalus (iNPH) is characterized clinically by dementia, urinary incontinence, and gait disturbance, alongside ventriculomegaly on imaging. Shunt surgery remains the gold standard for diagnosis and treatment, but only about half of patients show clinical improvement post-shunting. Accurate preoperative prediction of shunt responsiveness is critical to avoid unnecessary surgery and associated risks. Radiological markers have been proposed as non-invasive predictors, but prior analyses often lacked focus on differentiating shunt responders from non-responders, limiting clinical applicability.

Data Highlights

The review included studies from 1965 to 2021 assessing radiological predictors of shunt response in adult iNPH patients. Data extracted encompassed sensitivity, specificity, area under the curve (AUC), and predictive values for imaging markers such as callosal angle, Evan’s index, and DESH. Risk of bias was assessed using the ROBINS-I tool. The meta-analysis uniquely focused on studies comparing shunt responders to non-responders rather than healthy controls, enhancing clinical relevance.

Key Findings

  • Callosal angle demonstrated superior diagnostic accuracy and intra-observer agreement compared to Evan’s index in predicting shunt responsiveness.
  • DESH was emphasized in updated Japanese guidelines as an important radiological feature distinguishing shunt responders from non-responders.
  • Previous meta-analyses included studies comparing iNPH patients to healthy controls, limiting their applicability to clinical decision-making.
  • Invasive supplementary tests (intracranial pulse pressure monitoring, extended lumbar drainage) predict shunt response more precisely but carry higher risk and cost compared to radiological markers.
  • The current meta-analysis is the first to systematically evaluate all radiological markers specifically for predicting shunt response in iNPH patients.

Clinical Implications

Radiological markers such as callosal angle and DESH can aid clinicians in preoperative assessment to better identify iNPH patients likely to benefit from shunting, potentially reducing unnecessary surgeries. While invasive tests remain more accurate, imaging provides a safer, cost-effective alternative for initial evaluation. Incorporating these imaging indicators into diagnostic protocols may improve patient selection and outcomes.

Conclusion

This systematic review and meta-analysis underscore the value of specific radiological features, particularly callosal angle and DESH, in predicting shunt responsiveness in iNPH. These findings support their integration into clinical practice to optimize management strategies for this patient population.

References

  1. Hakim and Adams 1965 -- Original description of Normal Pressure Hydrocephalus
  2. Eide and Sorteberg -- Radiological and biochemical predictive tests in iNPH
  3. Japanese iNPH Guidelines 2020 -- Diagnostic criteria and imaging markers
  4. ROBINS-I Tool -- Risk of bias assessment in non-randomized studies

Original Source(s)

Related Content