Evidence map›Paper›PMID 41907377›Full record

ArticleInternational journal of nanomedicine2026

Multimodal Imaging By Polydopamine Nanoparticles for Effective Pre- and Intra-Operative Lymph-Node Screening in Gastric Cancer Using Mice Model.

Yanrui Liang, Guodong Shen, Keyu He, Weisheng Wang, Bing Xiao, Tian Lin, Huilin Huang, Zhenyuan Li, Yingxin Ren, Zean Wang and 4 more

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Yanrui Liang *Department 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.ORCID 0000-0002-2578-0264
Guodong Shen *Department 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.
Keyu He *Department 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.
Weisheng Wang *Department 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.
Bing Xiao *Department 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.
Tian LinDepartment 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.
Huilin HuangDepartment 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.
Zhenyuan LiDepartment 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.
Yingxin RenDepartment 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.
Zean WangDepartment 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.
Yiheng LuoDepartment 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.
Weihong GuoDepartment 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.
Yanfeng HuDepartment 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.
Guoxin LiDepartment 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Systematic lymphadenectomy is crucial in gastric cancer surgery for improving patient prognosis. However, current clinical lymph node (LN) mapping relies on fragmentary single-modal imaging agents, which suffer from low accuracy in N-staging and lack integration between preoperative and intraoperative visualization. Methods: We developed polydopamine-based nanoparticles (PEG-PDA@IR820/Gd(NH Results: The differently sized PPIG NPs exhibited tunable and size-dependent lymphatic drainage and retention. In mice, they enabled integrative pre-operative (MR) and intra-operative (optical/NIR fluorescence/thermal) multimodal mapping of popliteal LNs. In human specimens, PPIG NPs specifically delineated lymphatic vessels and LNs. Guided by this dual-modal (optical/NIR) mapping, lymphadenectomy in human gastric specimens achieved a significantly higher LN yield compared to conventional visual inspection (mean number: 55.4 vs 36.8, Conclusion: PPIG NPs provide an integrative pre- and intra-operative multimodal LN mapping platform. This strategy, enabling "see-before-cut" planning and "trace-while-cutting" navigation, demonstrates superior accuracy for LN and lymphatic vessel identification compared to current fragmentary techniques, showing promising potential for guiding precise lymphadenectomy in gastric cancer.

Indexed as

IndolesLymph NodesMultimodal ImagingNanoparticlesPolymersStomach NeoplasmsAnimalsCell Line, TumorFemaleHumansLymphatic MetastasisMagnetic Resonance ImagingMiceOptical ImagingParticle SizeIndolespolydopaminePolymersgastric cancerlymphatic vesselslymph node mappingpolydopamine-based nanoparticlessystemic lymphadenectomy

Identifiers

PMID41907377
PMCPMC13031047

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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.