Personalised estimation of the arterial input function for improved pharmacokinetic modelling of colorectal cancer using dceMRI

Irving B, Tanner L, Enescu M, Bhushan M, Hill EJ, Franklin J, Anderson EM, Sharma RA, Schnabel JA, Brady M (2013)

Publication Type: Conference contribution

Publication year: 2013

Journal

Lecture Notes in Computer Science Springer Verlag

Book Volume: 8198 LNCS

Pages Range: 126-135

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: JPN

ISBN: 9783642410826

DOI: 10.1007/978-3-642-41083-3_15

Abstract

dceMRI is becoming a key modality for tumour characterisation and monitoring of response to therapy, because of the ability to identify the underlying tumour physiology. Pharmacokinetic (PK) models relate the contrast enhancement seen in dceMRI to physiological parameters but require accurate measurement of the AIF, the time-dependant contrast concentration in blood plasma. In this study, a novel method is introduced that overcomes the challenges of direct AIF measurement, by automatically estimating the AIF from the tumour tissue. This approach was evaluated on synthetic data (10% noise) and achieved a relative error in Ktrans and kep of 11.8±3.5% and 25.7±4.7 %, respectively, compared to 41 ±15 % and 60 ±32 % using a population model. The method improved the fit of the PK model to clinical colorectal cancer cases, was stable for independent regions in the tumour, and showed improved localisation of the PK parameters. This demonstrates that personalised AIF estimation can lead to more accurate PK modelling. © 2013 Springer-Verlag.

Involved external institutions

University of Oxford GB United Kingdom (GB) Churchill Hospital GB United Kingdom (GB)

How to cite

APA:

Irving, B., Tanner, L., Enescu, M., Bhushan, M., Hill, E.J., Franklin, J.,... Brady, M. (2013). Personalised estimation of the arterial input function for improved pharmacokinetic modelling of colorectal cancer using dceMRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 126-135). JPN.

MLA:

Irving, Benjamin, et al. "Personalised estimation of the arterial input function for improved pharmacokinetic modelling of colorectal cancer using dceMRI." Proceedings of the 5th International Workshop on Abdominal Imaging: Computation and Clinical Applications, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, JPN 2013. 126-135.

BibTeX: Download