The utility of MRI radiological biomarkers in determining intracranial pressure

Author:

Pandit Anand S.ORCID,China Musa,Jain Raunak,Jalal Arif H.B.,Joshi Shivani.B.,Skye Crystallynn,Abdi Zakee,Aldabbagh Yousif,Alradhawi Mohammad,Banks Ptolemy D. W.,Stasiak Martyna K.,Tan Emily B.C.,Yildirim Fleur C.,Ruffle James K.,D’Antona Linda,Asif Hasan,Thorne LewisORCID,Watkins Laurence D.,Nachev ParashkevORCID,Toma Ahmed K

Abstract

AbstractBackgroundIntracranial 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, accessible MRI biomarkers in predicting ICP and their reversibility following cerebrospinal fluid (CSF) diversion.MethodsThe retrospective study included 325 adult patients with suspected CSF dynamic disorders who underwent brain MRI scans within three months of elective 24-hour ICP monitoring. Five MRI biomarkers were assessed: Yuh sella grade, optic nerve vertical tortuosity (VT), optic nerve sheath distension (ONSD), posterior globe flattening (PGF) and optic disc protrusion (ODP). The association between MRI biomarkers and 24-hour ICP was examined and reversibility of each following CSF diversion was assessed using uni- and multivariate techniques.ResultsAll five biomarkers were significantly associated with median 24-hour ICP (p<0.0001). Using a pair-wise approach, the presence of each abnormal biomarker was significantly associated with higher median 24- hour ICP (p<0.0001). On multivariate analysis, ICP was significantly and positively associated with Yuh grade (p<0.0001), VT (p<0.0001) and ODP (p=0.003), after accounting for age and suspected diagnosis. Bayesian multiple linear regression predicted 24-hour median ICP with a mean absolute error of 2.71 mmHg. Following CSF diversion, we found Yuh grade to show significant pairwise reversibility (p<0.001).ConclusionsICP was predicted with clinically useful precision utilising a compact Bayesian model, offering an easily interpretable tool that utilised non-invasive imaging data. MRI biomarkers are anticipated to play a more significant role in the screening, triaging, and referral of patients with suspected CSF dynamic disorders.Key messagesBrain MRI biomarkers have been found to be correlated with cerebrospinal fluid (CSF) pressures. However, previous studies have not examined these imaging features with continuous intracranial pressure (ICP) measurements, or in patient cohorts with sizable numbers or different CSF dynamic disorders than idiopathic intracranial hypertension.In this retrospective cohort study, patients with abnormal neuroradiological markers (optic nerve sheath diameter, pituitary: sella grade, optic nerve vertical tortuosity, posterior globe flattening or optic disc protrusion) had significantly higher median 24-hour ICP readings. After adjusting for age and diagnosis, Yuh sella grade, vertical tortuosity and optic disc protrusion were significantly associated with ICP. Our multiple linear regression model was able to predict 24-hour median ICP using routine MR-imaging in those with chronic CSF disorders. Pituitary deformation resolved following CSF diversion, suggesting reversibility of certain radiological biomarkers.Brain MRIs are widely accessible and non-invasive, and are commonly used in elective patients with suspected raised ICP. Our study provides a tool incorporating simple clinico-radiological parameters for the screening, triaging, and referral of patients with suspected abnormal ICP, and our results have important implications for the diagnostic routine of patients with suspected intracranial hypertension.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3