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Journal of Clinical Monitoring and Computing

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01-12-2021 | Hydrocephalus | Original Research

A mathematical model for predicting intracranial pressure based on noninvasively acquired PC-MRI parameters in communicating hydrocephalus

Authors: Jia Long, Deshun Sun, Xi Zhou, Xianjian Huang, Jiani Hu, Jun Xia, Guang Yang

Published in: Journal of Clinical Monitoring and Computing | Issue 6/2021

Abstract

To develop and validate a mathematical model for predicting intracranial pressure (ICP) noninvasively using phase-contrast cine MRI (PC-MRI). We performed a retrospective analysis of PC-MRI from patients with communicating hydrocephalus (n = 138). The patients were recruited from Shenzhen Second People’s Hospital between November 2017 and April 2020, and randomly allocated into training (n = 97) and independent validation (n = 41) groups. All participants underwent lumbar puncture and PC-MRI in order to evaluate ICP and cerebrospinal fluid (CSF) parameters (i.e., aqueduct diameter and flow velocity), respectively. A novel ICP-predicting model was then developed based on the nonlinear relationships between the CSF parameters, using the Levenberg–Marquardt and general global optimisation methods. There was no significant difference in baseline demographic characteristics between the training and independent validation groups. The accuracy of the model for predicting ICP was 0.899 in the training cohort (n = 97) and 0.861 in the independent validation cohort (n = 41). We obtained an ICP-predicting model that showed excellent performance in the noninvasive diagnosis of clinically significant communicating hydrocephalus.

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Title: A mathematical model for predicting intracranial pressure based on noninvasively acquired PC-MRI parameters in communicating hydrocephalus
Authors: Jia Long
Deshun Sun
Xi Zhou
Xianjian Huang
Jiani Hu
Jun Xia
Guang Yang
Publication date: 01-12-2021
Publisher: Springer Netherlands
Keywords: Hydrocephalus
Hydrocephalus
Intracranial Hypertension
Hydrocephalus
Published in: Journal of Clinical Monitoring and Computing / Issue 6/2021
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-020-00598-5

At a glance: The STEP trials

Springer Medicine

A mathematical model for predicting intracranial pressure based on noninvasively acquired PC-MRI parameters in communicating hydrocephalus

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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