The DOI matches its Crossref record.
Quantitative Imaging of Lymphatic Function with Liposomal Indocyanine Green
Open accessAbstract
Lymphatic vessels play a major role in cancer progression and in postsurgical lymphedema, and several new therapeutic approaches targeting lymphatics are currently being developed. Thus, there is a critical need for quantitative imaging methods to measure lymphatic flow. Indocyanine green (ICG) has been used for optical imaging of the lymphatic system, but it is unstable in solution and may rapidly enter venous capillaries after local injection. We developed a novel liposomal formulation of ICG (LP-ICG), resulting in vastly improved stability in solution and an increased fluorescence signal with a shift toward longer wavelength absorption and emission. When injected intradermally to mice, LP-ICG was specifically taken up by lymphatic vessels and allowed improved visualization of deep lymph nodes. In a genetic mouse model of lymphatic dysfunction, injection of LP-ICG showed no enhancement of draining lymph nodes and slower clearance from the injection site. In mice bearing B16 luciferase-expressing melanomas expressing vascular endothelial growth factor-C (VEGF-C), sequential near-IR imaging of intradermally injected LP-ICG enabled quantification of lymphatic flow. Increased flow through draining lymph nodes was observed in mice bearing VEGF-C–expressing tumors without metastases, whereas a decreased flow pattern was seen in mice with a higher lymph node tumor burden. This new method will likely facilitate quantitative studies of lymphatic function in preclinical investigations and may also have potential for imaging of lymphedema or improved sentinel lymph detection in cancer. Cancer Res; 70(18); 7053–62. ©2010 AACR.
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
Cited by
The lymphatic vasculature in disease
Alitalo, K. (2011) · Nature Medicine · doi:10.1038/nm.2545 · Cited by 962
Wiig, H., & Swartz, M. A. (2012) · Physiological Reviews · doi:10.1152/physrev.00037.2011 · Cited by 722
Lymphatic and interstitial flow in the tumour microenvironment: linking mechanobiology with immunity
Swartz, M. A., & Lund, A. W. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3186 · Cited by 544
Translation of Near-Infrared Fluorescence Imaging Technologies: Emerging Clinical Applications
Sevick-Muraca, E. M. (2012) · Annual Review of Medicine · doi:10.1146/annurev-med-070910-083323 · Cited by 339
Multiplexed NIR‐II Probes for Lymph Node‐Invaded Cancer Detection and Imaging‐Guided Surgery
Tian, R., Ma, H., Zhu, S., Lau, J., Ma, R., Liu, Y., Lin, L., Chandra, S., Wang, S., Zhu, X., et al. (2020) · Advanced Materials · doi:10.1002/adma.201907365 · Cited by 269
Metadata
- Authors
- Proulx, S. T., Luciani, P., Derzsi, S., Rinderknecht, M., Mumprecht, V., Leroux, J.-C., & Detmar, M.
- Venue
- Cancer Research
- Published
- 2010-09-14
- Volume
- 70
- Issue
- 18
- Pages
- 7053-7062
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2159331913
- Cited by
- 212
- References
- 0
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- green
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: Quantitative Imaging of Lymphatic Function with Liposomal Indocyanine Green. https://app.cochat.ai/papers/10.1158/0008-5472.can-10-0271
- The paper
- Proulx, S. T., Luciani, P., Derzsi, S., Rinderknecht, M., Mumprecht, V., Leroux, J.-C., & Detmar, M. (2010). Quantitative Imaging of Lymphatic Function with Liposomal Indocyanine Green. Cancer Research. https://doi.org/10.1158/0008-5472.can-10-0271
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.