Imperial College London
Alternate

ProfessorAdamWaldman

Faculty of Medicine, Department of Brain Sciences

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 3311 7546adam.waldman

 
 
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Assistant

 

Dr Adam Waldman +44 (0)20 3311 7546

 
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Location

 

Imaging DepartmentCharing Cross HospitalCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Inglese:2019:10.1007/s00234-019-02265-2,
author = {Inglese, M and Katherine, L O and Lesley, H and Tara, D B and Eric, O A and Adam, D W and Matthew, G-S},
doi = {10.1007/s00234-019-02265-2},
journal = {Neuroradiology},
pages = {1375--1386},
title = {Reliability of dynamic contrast enhanced magnetic resonance imaging data in primary brain tumours: a comparison of Tofts and shutter speed models},
url = {http://dx.doi.org/10.1007/s00234-019-02265-2},
volume = {61},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - PurposeTo investigate the robustness of pharmacokinetic modelling of DCE-MRI brain tumourdata and to ascertain reliable perfusion parameters through a model selection processand a stability test.MethodsDCE-MRI data of 14 patients with primary brain tumours were analysed using the Toftsmodel (TM), the extended Tofts model (ETM), the shutter speed model (SSM) and theextended shutter speed model (ESSM). A no-effect model (NEM) was implemented toassess overfitting of data by the other models.For each lesion, the Akaike Information Criteria (AIC) was used to build a 3D modelselection map. The variability of each pharmacokinetic parameter extracted from thismap was assessed with a noise propagation procedure, resulting in voxel-wisedistributions of the coefficient of variation (CV).ResultsThe model selection map over all patients showed NEM had the best fit in 35.5% ofvoxels, followed by ETM (32%), TM (28.2%), SSM (4.3%) and ESSM (<0.1%). Inanalysing the reliability of Ktrans, when considering regions with a CV<20%, ≈25% ofvoxels were found to be stable across all patients. The remaining 75% of voxels wereconsidered unreliable.ConclusionsThe majority of studies quantifying DCE-MRI data in brain tumours only consider asingle model and whole-tumour statistics for the output parameters. Appropriate modelselection, considering tissue biology and its effects on blood brain barrier permeabilityand exchange conditions, together with an analysis on the reliability and stability of thecalculated parameters, is critical in processing robust brain tumour DCE-MRI data.
AU  - Inglese,M
AU  - Katherine,L O
AU  - Lesley,H
AU  - Tara,D B
AU  - Eric,O A
AU  - Adam,D W
AU  - Matthew,G-S
DO  - 10.1007/s00234-019-02265-2
EP  - 1386
PY  - 2019///
SN  - 0028-3940
SP  - 1375
TI  - Reliability of dynamic contrast enhanced magnetic resonance imaging data in primary brain tumours: a comparison of Tofts and shutter speed models
T2  - Neuroradiology
UR  - http://dx.doi.org/10.1007/s00234-019-02265-2
UR  - http://hdl.handle.net/10044/1/71933
VL  - 61
ER  -
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