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Multimodal Imaging By Polydopamine Nanoparticles for Effective Pre- and Intra-Operative Lymph-Node Screening in

Yanrui Liang1, Guodong Shen1, Keyu He1

  • 1Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China.

International Journal of Nanomedicine
|March 30, 2026
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Summary
This summary is machine-generated.

Researchers developed polydopamine-based nanoparticles (PPIG NPs) for multimodal lymph node mapping in gastric cancer surgery. This new imaging agent improves lymph node identification and yield during surgery, enhancing patient prognosis.

Keywords:
gastric cancerlymph node mappinglymphatic vesselspolydopamine-based nanoparticlessystemic lymphadenectomy

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Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Oncology

Background:

  • Systematic lymphadenectomy is vital for gastric cancer prognosis.
  • Current lymph node mapping lacks accuracy and integration.
  • Fragmentary imaging agents hinder precise N-staging.

Purpose of the Study:

  • To develop a unified multimodal imaging agent for lymph node mapping.
  • To integrate pre-operative and intra-operative visualization in gastric cancer surgery.
  • To improve accuracy in N-staging and lymphadenectomy yield.

Main Methods:

  • Synthesized polydopamine-based nanoparticles (PPIG NPs) in various sizes.
  • Evaluated PPIG NPs for multimodal imaging (MR, optical, NIR fluorescence, thermal).
  • Validated efficacy in mouse models and human gastric/colon cancer specimens.

Main Results:

  • PPIG NPs demonstrated tunable, size-dependent lymphatic drainage and retention.
  • Enabled integrative pre- and intra-operative mapping of lymph nodes in mice.
  • Significantly increased lymph node yield in human gastric cancer specimens (55.4 vs 36.8).

Conclusions:

  • PPIG NPs offer an integrated platform for multimodal lymph node mapping.
  • The strategy enables 'see-before-cut' planning and 'trace-while-cutting' navigation.
  • Shows potential for guiding precise lymphadenectomy and improving gastric cancer outcomes.