Imperial College London
Alternate

ProfessorEricAboagye

Faculty of Medicine, Department of Surgery & Cancer

Professor
 
 
 
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Contact

 

+44 (0)20 3313 3759eric.aboagye

 
 
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Assistant

 

Mrs Maureen Francis +44 (0)20 7594 2793

 
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Location

 

GN1Commonwealth BuildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hubbard:2022:10.1016/j.ejmp.2022.08.015,
author = {Hubbard, Cristinacce PL and Keaveney, S and Aboagye, EO and Hall, MG and Little, RA and O'Connor, JPB and Parker, GJM and Waterton, JC and Winfield, JM and Jauregui-Osoro, M},
doi = {10.1016/j.ejmp.2022.08.015},
journal = {Physica Medica: an international journal devoted to the applications of physics to medicine and biology},
pages = {165--182},
title = {Clinical translation of quantitative magnetic resonance imaging biomarkers - An overview and gap analysis of current practice},
url = {http://dx.doi.org/10.1016/j.ejmp.2022.08.015},
volume = {101},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - PURPOSE: This overview of the current landscape of quantitative magnetic resonance imaging biomarkers (qMR IBs) aims to support the standardisation of academic IBs to assist their translation to clinical practice. METHODS: We used three complementary approaches to investigate qMR IB use and quality management practices within the UK: 1) a literature search of qMR and quality management terms during 2011-2015 and 2016-2020; 2) a database search for clinical research studies using qMR IBs during 2016-2020; and 3) a survey to ascertain the current availability and quality management practices for clinical MRI scanners and associated equipment at research institutions across the UK. RESULTS: The analysis showed increased use of all qMR methods between the periods 2011-2015 and 2016-2020 and diffusion-tensor MRI and volumetry to be popular methods. However, the "translation ratio" of journal articles to clinical research studies was higher for qMR methods that have evidence of clinical translation via a commercial route, such as fat fraction and T2 mapping. The number of journal articles citing quality management terms doubled between the periods 2011-2015 and 2016-2020; although, its proportion relative to all journal articles only increased by 3.0%. The survey suggested that quality assurance (QA) and quality control (QC) of data acquisition procedures are under-reported in the literature and that QA/QC of acquired data/data analysis are under-developed and lack consistency between institutions. CONCLUSIONS: We summarise current attempts to standardise and translate qMR IBs, and conclude by outlining the ideal quality management practices and providing a gap analysis between current practice and a metrological standard.
AU  - Hubbard,Cristinacce PL
AU  - Keaveney,S
AU  - Aboagye,EO
AU  - Hall,MG
AU  - Little,RA
AU  - O'Connor,JPB
AU  - Parker,GJM
AU  - Waterton,JC
AU  - Winfield,JM
AU  - Jauregui-Osoro,M
DO  - 10.1016/j.ejmp.2022.08.015
EP  - 182
PY  - 2022///
SN  - 1120-1797
SP  - 165
TI  - Clinical translation of quantitative magnetic resonance imaging biomarkers - An overview and gap analysis of current practice
T2  - Physica Medica: an international journal devoted to the applications of physics to medicine and biology
UR  - http://dx.doi.org/10.1016/j.ejmp.2022.08.015
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36055125
UR  - http://hdl.handle.net/10044/1/100545
VL  - 101
ER  -
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