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Cited by 485

The DOI matches its Crossref record; 160 of the 160 references it cites were found in a registry or an index.

Beyond the margins: real-time detection of cancer using targeted fluorophores

Open access
Zhang, Ray R., Schroeder, Alexandra B., Grudzinski, Joseph J., Rosenthal, Eben L., Warram, Jason M., Pinchuk, Anatoly N., Eliceiri, Kevin W., Kuo, John S., Weichert, Jamey P.·2017·Nature Reviews Clinical Oncology

Abstract

Over the past two decades, synergistic innovations in imaging technology have resulted in a revolution in which a range of biomedical applications are now benefiting from fluorescence imaging. Specifically, advances in fluorophore chemistry and imaging hardware, and the identification of targetable biomarkers have now positioned intraoperative fluorescence as a highly specific real-time detection modality for surgeons in oncology. In particular, the deeper tissue penetration and limited autofluorescence of near-infrared (NIR) fluorescence imaging improves the translational potential of this modality over visible-light fluorescence imaging. Rapid developments in fluorophores with improved characteristics, detection instrumentation, and targeting strategies led to the clinical testing in the early 2010s of the first targeted NIR fluorophores for intraoperative cancer detection. The foundations for the advances that underline this technology continue to be nurtured by the multidisciplinary collaboration of chemists, biologists, engineers, and clinicians. In this Review, we highlight the latest developments in NIR fluorophores, cancer-targeting strategies, and detection instrumentation for intraoperative cancer detection, and consider the unique challenges associated with their effective application in clinical settings.

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Crossref · 10.1038/nrclinonc.2016.212

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Metadata

Authors
Zhang, R. R., Schroeder, A. B., Grudzinski, J. J., Rosenthal, E. L., Warram, J. M., Pinchuk, A. N., Eliceiri, K. W., Kuo, J. S., & Weichert, J. P.
Venue
Nature Reviews Clinical Oncology
Published
2017-01-17
Volume
14
Issue
6
Pages
347-364
ISSN
  • 1759-4774 (ISSN-L)
  • 1759-4782
OpenAlex
W2573995939
Cited by
485
References
160
FWCI
7.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Beyond the margins: real-time detection of cancer using targeted fluorophores. https://app.cochat.ai/papers/10.1038/nrclinonc.2016.212
The paper
Zhang, R. R., Schroeder, A. B., Grudzinski, J. J., Rosenthal, E. L., Warram, J. M., Pinchuk, A. N., Eliceiri, K. W., Kuo, J. S., & Weichert, J. P. (2017). Beyond the margins: real-time detection of cancer using targeted fluorophores. Nature Reviews Clinical Oncology. https://doi.org/10.1038/nrclinonc.2016.212

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.