Multiplexed imaging for diagnosis and therapy

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Title: Multiplexed imaging for diagnosis and therapy
Authors: Heinzmann, K
Carter, LM
Lewis, JS
Aboagye, EO
Item Type: Journal Article
Abstract: Complex molecular and metabolic phenotypes depict cancers as a constellation of different diseases with common themes. Precision imaging of such phenotypes requires flexible and tunable modalities capable of identifying phenotypic fingerprints by using a restricted number of parameters while ensuring sensitivity to dynamic biological regulation. Common phenotypes can be detected by in vivo imaging technologies, and effectively define the emerging standards for disease classification and patient stratification in radiology. However, for the imaging data to accurately represent a complex fingerprint, the individual imaging parameters need to be measured and analysed in relation to their wider spatial and molecular context. In this respect, targeted palettes of molecular imaging probes facilitate the detection of heterogeneity in oncogene-driven alterations and their response to treatment, and lead to the expansion of rational-design elements for the combination of imaging experiments. In this Review, we evaluate criteria for conducting multiplexed imaging, and discuss its opportunities for improving patient diagnosis and the monitoring of therapy.
Issue Date: 12-Sep-2017
Date of Acceptance: 2-Aug-2017
Publisher: Springer
Start Page: 697
End Page: 713
Journal / Book Title: Nature Biomedical Engineering
Volume: 1
Issue: 9
Copyright Statement: © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. The final publication is available at
Sponsor/Funder: Cancer Research UK
Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: C2536/A16584
RDC04 79560
Publication Status: Published
Appears in Collections:Division of Surgery
Division of Cancer
Faculty of Medicine

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