Evidence map›Paper›PMID 39369053›Full record

ArticleScientific reports2024

The utility of MRI radiological biomarkers in determining intracranial pressure.

Anand S Pandit, Musa China, Raunak Jain, Arif H B Jalal, Maria Jelen, Shivani B Joshi, Crystallynn Skye, Zakee Abdi, Yousif Aldabbagh, Mohammad Alradhawi and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

21 authors.

Anand S Pandit *High-Dimensional Neurology Group, UCL Queen Square Institute of Neurology, University College London, London, UK. a.pandit@ucl.ac.uk.
Musa China *Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Raunak JainDivision of Medicine, University College London, UCL, London, UK.
Arif H B JalalDivision of Medicine, University College London, UCL, London, UK.
Maria JelenDepartment of Psychology and Language Sciences, University College London, London, UK.
Shivani B JoshiDivision of Medicine, University College London, UCL, London, UK.
Crystallynn SkyeDivision of Medicine, University College London, UCL, London, UK.
Zakee AbdiSchool of Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Yousif AldabbaghDivision of Medicine, University College London, UCL, London, UK.
Mohammad AlradhawiDivision of Medicine, University College London, UCL, London, UK.
Ptolemy D W BanksVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Martyna K StasiakDepartment of Psychology and Language Sciences, University College London, London, UK.
Emily B C TanDivision of Medicine, University College London, UCL, London, UK.
Fleur C YildirimDepartment of Psychology and Language Sciences, University College London, London, UK.
James K RuffleHigh-Dimensional Neurology Group, UCL Queen Square Institute of Neurology, University College London, London, UK.
Linda D'AntonaVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Hasan AsifVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Lewis ThorneVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Laurence D WatkinsVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Parashkev NachevHigh-Dimensional Neurology Group, UCL Queen Square Institute of Neurology, University College London, London, UK.
Ahmed K TomaVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracranial pressure (ICP) is a physiological parameter that conventionally requires invasive monitoring for accurate measurement. Utilising multivariate predictive models, we sought to evaluate the utility of non-invasive, widely accessible MRI biomarkers in predicting ICP and their reversibility following cerebrospinal fluid (CSF) diversion. The retrospective study included 325 adult patients with suspected CSF dynamic disorders who underwent brain MRI scans within three months of elective 24-h ICP monitoring. Five MRI biomarkers were assessed: Yuh sella grade, optic nerve vertical tortuosity (VT), optic nerve sheath distension, posterior globe flattening and optic disc protrusion (ODP). The association between individual biomarkers and 24-h ICP was examined and reversibility of each following CSF diversion was assessed. Multivariate models incorporating these radiological biomarkers were utilised to predict 24-h median intracranial pressure. All five biomarkers were significantly associated with median 24-h ICP (p < 0.0001). Using a pair-wise approach, the presence of each abnormal biomarker was significantly associated with higher median 24-h ICP (p < 0.0001). On multivariate analysis, ICP was significantly and positively associated with Yuh sella grade (p < 0.0001), VT (p < 0.0001) and ODP (p = 0.003), after accounting for age and suspected diagnosis. The Bayesian multiple linear regression model predicted 24-h median ICP with a mean absolute error of 2.71 mmHg. Following CSF diversion, we found pituitary sella grade to show significant pairwise reversibility (p < 0.001). ICP was predicted with clinically useful precision utilising a compact Bayesian model, offering an easily interpretable tool using non-invasive MRI data. Brain MRI biomarkers are anticipated to play a more significant role in the screening, triaging, and referral of patients with suspected CSF dynamic disorders.

Indexed as

BiomarkersIntracranial PressureMagnetic Resonance ImagingAdultAgedFemaleHumansMaleMiddle AgedOptic NerveRetrospective StudiesBiomarkersAdult hydrocephalusBayesian modellingRadiological biomarkers

Identifiers

PMID39369053
PMCPMC11455934

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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.