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Cited by 190

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Nanotechnology Applications in Surgical Oncology

Open access
Singhal, Sunil, Nie, Shuming, Wang, May D.·2010·Annual Review of Medicine

Abstract

Surgery is currently the most effective and widely used procedure in treating human cancers, and the single most important predictor of patient survival is a complete surgical resection. Major opportunities exist to develop new and innovative technologies that could help the surgeon to delineate tumor margins, to identify residual tumor cells and micrometastases, and to determine if the tumor has been completely removed. Here we discuss recent advances in nanotechnology and optical instrumentation, and how these advances can be integrated for applications in surgical oncology. A fundamental rationale is that nanometer-sized particles such as quantum dots and colloidal gold have functional and structural properties that are not available from either discrete molecules or bulk materials. When conjugated with targeting ligands such as monoclonal antibodies, peptides, or small molecules, these nanoparticles can be used to target malignant tumor cells and tumor microenvironments with high specificity and affinity. In the “mesoscopic” size range of 10–100 nm, nanoparticles also have large surface areas for conjugating to multiple diagnostic and therapeutic agents, opening new possibilities in integrated cancer imaging and therapy.

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Crossref · 10.1146/annurev.med.60.052907.094936

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Metadata

Authors
Singhal, S., Nie, S., & Wang, M. D.
Venue
Annual Review of Medicine
Published
2010-02-01
Volume
61
Issue
1
Pages
359-373
ISSN
  • 0066-4219 (ISSN-L)
  • 1545-326X
OpenAlex
W2032790167
Cited by
190
References
4
FWCI
1.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nanotechnology Applications in Surgical Oncology. https://app.cochat.ai/papers/10.1146/annurev.med.60.052907.094936
The paper
Singhal, S., Nie, S., & Wang, M. D. (2010). Nanotechnology Applications in Surgical Oncology. Annual Review of Medicine. https://doi.org/10.1146/annurev.med.60.052907.094936

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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.