The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Biocompatible Semiconductor Quantum Dots as Cancer Imaging Agents
Abstract
Approximately 1.7 million new cases of cancer will be diagnosed this year in the United States leading to 600 000 deaths. Patient survival rates are highly correlated with the stage of cancer diagnosis, with localized and regional remission rates that are much higher than for metastatic cancer. The current standard of care for many solid tumors includes imaging and biopsy with histological assessment. In many cases, after tomographical imaging modalities have identified abnormal morphology consistent with cancer, surgery is performed to remove the primary tumor and evaluate the surrounding lymph nodes. Accurate identification of tumor margins and staging are critical for selecting optimal treatments to minimize recurrence. Visible, fluorescent, and radiolabeled small molecules have been used as contrast agents to improve detection during real‐time intraoperative imaging. Unfortunately, current dyes lack the tissue specificity, stability, and signal penetration needed for optimal performance. Quantum dots (QDs) represent an exciting class of fluorescent probes for optical imaging with tunable optical properties, high stability, and the ability to target tumors or lymph nodes based on surface functionalization. Here, state‐of‐the‐art biocompatible QDs are compared with current Food and Drug Administration approved fluorophores used in cancer imaging and a perspective on the pathway to clinical translation is provided.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Dabbousi, B. O., Rodriguez-Viejo, J., Mikulec, F. V., Heine, J. R., Mattoussi, H., Ober, R., Jensen, K. F., & Bawendi, M. G. (1997) · The Journal of Physical Chemistry B · doi:10.1021/jp971091y · Cited by 4,229
A clearer vision for in vivo imaging
Weissleder, R. (2001) · Nature Biotechnology · doi:10.1038/86684 · Cited by 3,839
Stummer, W., Pichlmeier, U., Meinel, T., Wiestler, O. D., Zanella, F., & Reulen, H.-J. (2006) · The Lancet Oncology · doi:10.1016/s1470-2045(06)70665-9 · Cited by 3,423
Second window for in vivo imaging
Smith, A. M., Mancini, M. C., & Nie, S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.326 · Cited by 2,848
Nanoparticle Size and Surface Chemistry Determine Serum Protein Adsorption and Macrophage Uptake
Walkey, C. D., Olsen, J. B., Guo, H., Emili, A., & Chan, W. C. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja2084338 · Cited by 1,926
Going deeper than microscopy: the optical imaging frontier in biology
Ntziachristos, V. (2010) · Nature Methods · doi:10.1038/nmeth.1483 · Cited by 1,896
Next-generation in vivo optical imaging with short-wave infrared quantum dots
Bruns, O. T., Bischof, T. S., Harris, D. K., Franke, D., Shi, Y., Riedemann, L., Bartelt, A., Jaworski, F. B., Carr, J. A., Rowlands, C. J., et al. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0056 · Cited by 686
Cited by
Quantum dots in biomedical applications
Wagner, A. M., Knipe, J. M., Orive, G., & Peppas, N. A. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.05.022 · Cited by 632
Smart Nanomaterials in Cancer Theranostics: Challenges and Opportunities
Kashyap, B. K., Singh, V. V., Solanki, M. K., Kumar, A., Ruokolainen, J., & Kesari, K. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07840 · Cited by 348
Gathering brings strength: How organic aggregates boost disease phototheranostics
Qi, J., Ou, H., Liu, Q., & Ding, D. (2021) · Aggregate · doi:10.1002/agt2.25 · Cited by 284
A phosphorescent probe for in vivo imaging in the second near-infrared window
Chang, B., Li, D., Ren, Y., Qu, C., Shi, X., Liu, R., Liu, H., Tian, J., Hu, Z., Sun, T., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00773-2 · Cited by 195
Wang, S., Liu, J., Goh, C. C., Ng, L. G., & Liu, B. (2019) · Advanced Materials · doi:10.1002/adma.201904447 · Cited by 148
Metadata
- Authors
- McHugh, K. J., Jing, L., Behrens, A. M., Jayawardena, S., Tang, W., Gao, M., Langer, R., & Jaklenec, A.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-02-22
- Volume
- 30
- Issue
- 18
- Pages
- e1706356-e1706356
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2794057393
- Cited by
- 318
- References
- 13
- FWCI
- 12.56
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Biocompatible Semiconductor Quantum Dots as Cancer Imaging Agents. https://app.cochat.ai/papers/10.1002/adma.201706356
- The paper
- McHugh, K. J., Jing, L., Behrens, A. M., Jayawardena, S., Tang, W., Gao, M., Langer, R., & Jaklenec, A. (2018). Biocompatible Semiconductor Quantum Dots as Cancer Imaging Agents. Advanced Materials. https://doi.org/10.1002/adma.201706356
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
