Imperial College London
Portrait Picture

Dr Ben Glocker

Faculty of Engineering, Department of Computing

Professor in Machine Learning for Imaging
 
 
 
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Contact

 

+44 (0)20 7594 8334b.glocker Website CV

 
 
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Location

 

377Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Whitehouse:2021:10.1016/j.ebiom.2021.103777,
author = {Whitehouse, DP and Monteiro, M and Czeiter, E and Vyvere, TV and Valerio, F and Ye, Z and Amrein, K and Kamnitsas, K and Xu, H and Yang, Z and Verheyden, J and Das, T and Kornaropoulos, EN and Steyerberg, E and Maas, AIR and Wang, KKW and Büki, A and Glocker, B and Menon, DK and Newcombe, VFJ and CENTER-TBI, Participants and Investigators},
doi = {10.1016/j.ebiom.2021.103777},
journal = {EBioMedicine},
pages = {1--15},
title = {Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study.},
url = {http://dx.doi.org/10.1016/j.ebiom.2021.103777},
volume = {75},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: We aimed to understand the relationship between serum biomarker concentration and lesion type and volume found on computed tomography (CT) following all severities of TBI. METHODS: Concentrations of six serum biomarkers (GFAP, NFL, NSE, S100B, t-tau and UCH-L1) were measured in samples obtained <24 hours post-injury from 2869 patients with all severities of TBI, enrolled in the CENTER-TBI prospective cohort study (NCT02210221). Imaging phenotypes were defined as intraparenchymal haemorrhage (IPH), oedema, subdural haematoma (SDH), extradural haematoma (EDH), traumatic subarachnoid haemorrhage (tSAH), diffuse axonal injury (DAI), and intraventricular haemorrhage (IVH). Multivariable polynomial regression was performed to examine the association between biomarker levels and both distinct lesion types and lesion volumes. Hierarchical clustering was used to explore imaging phenotypes; and principal component analysis and k-means clustering of acute biomarker concentrations to explore patterns of biomarker clustering. FINDINGS: 2869 patient were included, 68% (n=1946) male with a median age of 49 years (range 2-96). All severities of TBI (mild, moderate and severe) were included for analysis with majority (n=1946, 68%) having a mild injury (GCS 13-15). Patients with severe diffuse injury (Marshall III/IV) showed significantly higher levels of all measured biomarkers, with the exception of NFL, than patients with focal mass lesions (Marshall grades V/VI). Patients with either DAI+IVH or SDH+IPH+tSAH, had significantly higher biomarker concentrations than patients with EDH. Higher biomarker concentrations were associated with greater volume of IPH (GFAP, S100B, t-tau;adj r2 range:0·48-0·49; p<0·05), oedema (GFAP, NFL, NSE, t-tau, UCH-L1;adj r2 range:0·44-0·44; p<0·01), IVH (S100B;adj r2 range:0.48-0.49; p<0.05), Unsupervised k-means biomarker clustering revealed two clusters explaining 83·9% of varian
AU  - Whitehouse,DP
AU  - Monteiro,M
AU  - Czeiter,E
AU  - Vyvere,TV
AU  - Valerio,F
AU  - Ye,Z
AU  - Amrein,K
AU  - Kamnitsas,K
AU  - Xu,H
AU  - Yang,Z
AU  - Verheyden,J
AU  - Das,T
AU  - Kornaropoulos,EN
AU  - Steyerberg,E
AU  - Maas,AIR
AU  - Wang,KKW
AU  - Büki,A
AU  - Glocker,B
AU  - Menon,DK
AU  - Newcombe,VFJ
AU  - CENTER-TBI,Participants and Investigators
DO  - 10.1016/j.ebiom.2021.103777
EP  - 15
PY  - 2021///
SN  - 2352-3964
SP  - 1
TI  - Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study.
T2  - EBioMedicine
UR  - http://dx.doi.org/10.1016/j.ebiom.2021.103777
UR  - https://www.ncbi.nlm.nih.gov/pubmed/34959133
UR  - https://www.sciencedirect.com/science/article/pii/S2352396421005715?via%3Dihub
UR  - http://hdl.handle.net/10044/1/93370
VL  - 75
ER  -
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