| Autor: |
Anand S. Pandit, Musa China, Raunak Jain, Arif H. B. Jalal, Maria Jelen, Shivani B. Joshi, Crystallynn Skye, Zakee Abdi, Yousif Aldabbagh, Mohammad Alradhawi, Ptolemy D. W. Banks, Martyna K. Stasiak, Emily B. C. Tan, Fleur C. Yildirim, James K. Ruffle, Linda D’Antona, Hasan Asif, Lewis Thorne, Laurence D. Watkins, Parashkev Nachev, Ahmed K. Toma |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2045-2322 |
| DOI: |
10.1038/s41598-024-73750-9 |
| Popis: |
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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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