ArticleEBioMedicine2019
Image-guided surgery of head and neck carcinoma in rabbit models by intra-operatively defining tumour-infiltrated margins and metastatic lymph nodes.
Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Raman and surface-enhanced Raman spectroscopy for intraoperative cancer diagnostics: sentinel lymph node biopsy, biomarkers and translational challenges.Frontiers in bioengineering and biotechnology · 2026Review
- SLC16A1 Activates the STAT3/SLC7A11 Pathway to Mediate Ferroptosis Resistance and Tumor Progression in Head and Neck Squamous Cell Carcinoma.Oncology research · 2026Article
- Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next.Proceedings. IEEE International Symposium on Computer-Based Medical Systems · 2025Article
- Habitat radiomics predicts occult lymph node metastasis and uncovers immune microenvironment of head and neck cancer.Journal of translational medicine · 2025Article
- SLC16A1 Inhibits Ferroptosis and Promotes the Progression of Head and Neck Squamous Cell Carcinoma.Journal of Cancer · 2025Article
- Nanotechnology in the perioperative treatment of head and neck cancer: application and outlook.Frontiers in bioengineering and biotechnology · 2025Review
- Review
- Nanomaterials for the Diagnosis and Treatment of Head and Neck Cancers: A Review.Materials (Basel, Switzerland) · 2021Review
- Metastatic status of sentinel lymph nodes in breast cancer determined with photoacoustic microscopy via dual-targeting nanoparticles.Light, science & applications · 2020Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe infiltrative nature and lymphatic metastasis of head and neck squamous cell carcinoma (HNSCC) are the main reasons leading to its poor prognosis.
methodsA multimodal surface-enhanced resonance Raman spectroscopy (SERRS) and magnetic resonance (MR) nanoprobe, in which paramagnetic chelators and heptamethine cyanine-based Raman reporter molecules were functionalized on a gold nanostar (AuS) surface was developed. Preoperative MRI and intraoperative SERRS-guided surgery were performed on rabbits bearing head and neck VX2 tumours to determine feasibility of the MR/SERRS probe in defining tumour marginal infiltration and lymph nodes metastasis.
findingsPreoperative T1-weighted MRI (T1W-MRI) unambiguously delineated the orthotopic head and neck VX2 tumour xenograft and detected the metastatic lymph nodes in rabbit models after intravenous administration of the probe. With the assistance of a hand-held Raman detector, the probe not only intra-operatively demarcated invasive tumour margins but also successfully distinguished metastatic lymph nodes via a remarkable attenuated Raman signal. Importantly, the group of rabbits subjected to the SERRS-guided surgery exhibited prolonged median survival time (78 days) compared with that of the control group without surgical intervention (29 days) or the group treated with conventional white-light-guided surgery (42 days) (P < 0.0001).
interpretationwe developed a novel AuS-based multimodal MR/SERRS probe. The capability of this probe to identify both a tumour xenograft and metastatic lymph nodes preoperatively by MRI and intra-operatively by SERRS not only avoids the need for unnecessary resection of neurological structures but also provides a new opportunity to improve the surgical prognosis of head and neck carcinoma of infiltrative nature.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.