Evidence map›Paper›PMID 41309712›Full record

ArticleScientific reports2025

A mechanistic approach for intracranial pressure (ICP) level estimation.

Alireza Sharifzadeh-Kermani, Beatrice Ghitti, Ruanui Nicholson, Finbar Argus, Samantha Holdsworth, Soroush Safaei, Gonzalo Maso Talou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alireza Sharifzadeh-KermaniThe University of Auckland, Auckland Bioengineering Institute, Auckland, 1010, New Zealand. alireza.sharifzadeh-kermani@auckland.ac.nz.
Beatrice GhittiThe University of Auckland, Auckland Bioengineering Institute, Auckland, 1010, New Zealand.
Ruanui NicholsonThe University of Auckland, Faculty of Engineering, Auckland, 1010, New Zealand.
Finbar ArgusThe University of Auckland, Auckland Bioengineering Institute, Auckland, 1010, New Zealand.
Samantha HoldsworthMātai Medical Research Institute, Tairāwhiti Gisborne, 4010, New Zealand.
Soroush SafaeiThe University of Auckland, Auckland Bioengineering Institute, Auckland, 1010, New Zealand.
Gonzalo Maso TalouThe University of Auckland, Auckland Bioengineering Institute, Auckland, 1010, New Zealand.

Funding

12 Labours MBIEMBIE Soul Machines Digital Twins for the management of chronic metabolic diseaseSir Charles Hercus Health Research Fellowship 24/016/AThe Health Research Council of New Zealand 23/293The New Zealand Royal Society Te Apārangi Marsden Foundation 20-UOA-290UGENT - Vital: Virtual Twins as tools for Personalised Clinical Care European Commission FP6
6 · The paper itself

Abstract

Abnormally increased intracranial pressure (ICP) requires clinical diagnosis before management; however, the only conclusive methods are invasive. In this study, we propose a non-invasive method to estimate ICP level using readily available MRI measurements. We used a mechanistic model of intracranial pulsatility, incorporating brain solid mechanics, and cerebrospinal fluid (CSF) flow dynamics. The model was personalised from brain displacement and blood/CSF data, to estimate ICP level using a harmonic balance method for efficiency. The efficiency of the method was demonstrated using synthetic data with a relative ICP level estimate error of less than 0.4% and speed-up of more than six times compared to classical optimisation methods. Moreover, the method showed robustness to high levels of noise as well as spatial and temporal resolutions. This study shows the potential of this method as a high-fidelity and non-invasive approach to estimate the ICP level. This non-invasive ICP level estimation method facilitates low-risk, cost-effective diagnosis of ICP-related pathologies.

Indexed as

BrainIntracranial HypertensionIntracranial PressureHumansMagnetic Resonance ImagingFSI modellingHarmonic balance methodIntracranial hypertensionIntracranial pressureInverse problemMRINon-invasive

Identifiers

PMID41309712
PMCPMC12660743

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.