Evidence map›Paper›PMID 31025403›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2019

Near-Infrared-II Molecular Dyes for Cancer Imaging and Surgery.

Shoujun Zhu, Rui Tian, Alexander L Antaris, Xiaoyuan Chen, Hongjie Dai

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers.

0numbers the graph read from it
0cells of the map it votes in
242citing 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

242 citing papers in PubMed.

  1. Review
  2. Review
  3. In situ NIR-IIb imaging of endogenous HNature communications · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Extended Fused Carbazole-BODIPY, High Brightness NIR Organic Dyes.Angewandte Chemie (International ed. in English) · 2026
    Article
  12. In Situ Lipoprotein-seeking Dye for in Vivo Real-Time Imaging of Lipid Dysregulation Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  13. Review
  14. Review
  15. Fluorinated Hypoxia-Responsive Aza-BODIPY for NIR-II FL/Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  16. Review
  17. Real-timeFrontiers in oncology · 2026
    Article
  18. Article
  19. Guiding esophagectomy with intraoperative NIR-II fluorescence video imaging and rapid computation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Potentiating the Efficacy of mRNA Vaccines through NIR-II Imaging-Guided Precise Vaccination.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

182 more citing papers are in PubMed but not listed here.

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

5 authors.

Shoujun ZhuLaboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD, 20892, USA.
Rui TianLaboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD, 20892, USA.
Alexander L AntarisDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA.
Xiaoyuan ChenLaboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD, 20892, USA.
Hongjie DaiDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA.ORCID https://orcid.org/0000-0003-3239-0835

Funding

Laboratory of Molecular Imaging and NanomedicineZIAEB000073 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI CHEN, XIAOYUAN · 2010 to 2020
$32.8M
Human Infrared Vision at Molecular and Cellular ScaleDP1NS105737 · NINDS · STANFORD UNIVERSITY · PI DAI, HONGJIE · 2017 to 2022
$5.5M
National Institute of Biomedical Imaging and BioengineeringNational Institutes of HealthNINDS NIH HHS DP1 NS105737
6 · The paper itself

Abstract

Fluorescence bioimaging affords a vital tool for both researchers and surgeons to molecularly target a variety of biological tissues and processes. This review focuses on summarizing organic dyes emitting at a biological transparency window termed the near-infrared-II (NIR-II) window, where minimal light interaction with the surrounding tissues allows photons to travel nearly unperturbed throughout the body. NIR-II fluorescence imaging overcomes the penetration/contrast bottleneck of imaging in the visible region, making it a remarkable modality for early diagnosis of cancer and highly sensitive tumor surgery. Due to their convenient bioconjugation with peptides/antibodies, NIR-II molecular dyes are desirable candidates for targeted cancer imaging, significantly overcoming the autofluorescence/scattering issues for deep tissue molecular imaging. To promote the clinical translation of NIR-II bioimaging, advancements in the high-performance small molecule-derived probes are critically important. Here, molecules with clinical potential for NIR-II imaging are discussed, summarizing the synthesis and chemical structures of NIR-II dyes, chemical and optical properties of NIR-II dyes, bioconjugation and biological behavior of NIR-II dyes, whole body imaging with NIR-II dyes for cancer detection and surgery, as well as NIR-II fluorescence microscopy imaging. A key perspective on the direction of NIR-II molecular dyes for cancer imaging and surgery is also discussed.

Indexed as

Infrared RaysColoring AgentsHumansNeoplasmsOptical ImagingColoring Agentscyanine dyesdonor-acceptor-donor dyesnear-infrared (NIR)-II fluorophoresnear-infrared (NIR)-II imagingtumor imaging

Identifiers

PMID31025403
PMCPMC6555689

What OpenQuestion holds

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Registered trials

None linked

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.