Evidence map›Paper›PMID 41164086›Full record

ArticleBiomaterials research2025

Dual-Channel NIR Fluorescence Imaging for Precise Delineation of Gastric Tumor Margins.

Yuanyuan Ji, Kai Bao, Lin Mei, Yuanhao Su, Yongke Wu, Cheng Li, Yongshen Wu, Zhishen Ge, Sangkee Choi, Zhidong Wang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomaterials research, 2025. 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. Article
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

11 authors.

Yuanyuan JiDepartment of Geriatric General Surgery, The Second Affiliated Hospital, Xian Jiaotong University, Xian, China.
Kai BaoDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Lin MeiScientific Research Center and Precision Medical Institute, The Second Affiliated Hospital, Xian Jiaotong University, Xian, China.
Yuanhao SuDepartment of Geriatric General Surgery, The Second Affiliated Hospital, Xian Jiaotong University, Xian, China.
Yongke WuDepartment of Geriatric General Surgery, The Second Affiliated Hospital, Xian Jiaotong University, Xian, China.
Cheng LiDepartment of Geriatric General Surgery, The Second Affiliated Hospital, Xian Jiaotong University, Xian, China.
Yongshen WuMOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xian Jiaotong University, Xian, China.
Zhishen GeSchool of Chemistry, Xian Key Laboratory of Sustainable Polymer Materials, Xian Jiaotong University, Xian, China.
Sangkee ChoiDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Zhidong WangDepartment of Geriatric General Surgery, The Second Affiliated Hospital, Xian Jiaotong University, Xian, China.
Hak Soo ChoiDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-7982-6483

Funding

Long-Acting, Short-Residing Nanochelators for Iron Overload TherapyR01HL163273 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, HAK SOO, KIM, JONGHAN · 2023 to 2025
$2.2M
NHLBI NIH HHS R01 HL163273
6 · The paper itself

Abstract

Fluorescence imaging is a promising intraoperative technique for gastric cancer surgery, enabling clear visualization of surgical margins and detection of occult lesions. However, the lack of near-infrared (NIR) fluorescent probes specifically targeting gastric tumors and normal tissues remains a limitation. To address this, we developed a dual-channel imaging strategy using IR-780 (800 nm) for tumor detection and ESS65-Cl (700 nm) for normal gastric tissue identification. We evaluated their specificity in human gastric epithelial (GES-1) and cancer (SGC-7901) cells, confirming selective uptake: ESS65-Cl in normal gastric cells and IR-780 in tumor cells. In subcutaneous and orthotopic xenograft models, dual-channel imaging allowed simultaneous visualization of tumors and surrounding tissues in distinct colors. Pharmacokinetic analysis revealed that ESS65-Cl achieved a stomach signal-to-background ratio of 3.3 by 48 h, while IR-780 exhibited a tumor-to-background ratio of 4.0, demonstrating high targetability. Moreover, biodistribution studies confirmed efficient clearance of both agents. When combined, these fluorophores enabled precise intraoperative differentiation between gastric tissues and tumors. This approach holds substantial potential for improving surgical accuracy in gastric cancer resection, particularly in defining proximal esophageal margins and gastrectomy boundaries. By enhancing real-time tissue discrimination, dual-channel NIR imaging may increase surgical success rates and improve patient outcomes.

Identifiers

PMID41164086
PMCPMC12559798

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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.