Evidence map›Paper›PMID 38693335›Full record

ReviewNature reviews. Clinical oncology2024

NIR-II light in clinical oncology: opportunities and challenges.

Zeyu Zhang, Yang Du, Xiaojing Shi, Kun Wang, Qiaojun Qu, Qian Liang, Xiaopeng Ma, Kunshan He, Chongwei Chi, Jianqiang Tang and 6 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed
46.3field-weighted citation impact, top 1% of its field
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

113 citing papers in PubMed, 251 citations in OpenAlex.

  1. Trial
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  13. Potential of Nanoparticle-Based Phototherapies for Future Treatment of Uveal Melanoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  14. Chemical science · 2026
    Article
  15. Article
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53 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

16 authors at 10 institutions in 1 country.

Zeyu Zhang *Key Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, China.
Yang Du *CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.
Xiaojing Shi *CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.
Kun WangCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-2513-768X
Qiaojun QuDepartment of Radiology, First Hospital of Shanxi Medical University, Taiyuan, China.
Qian LiangCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.
Xiaopeng MaSchool of Control Science and Engineering, Shandong University, Jinan, China.
Kunshan HeCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.
Chongwei ChiCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.
Jianqiang TangDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bo LiuDepartment of General Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiafu JiDepartment of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute, Beijing, China. jijiafu@hsc.pku.edu.cn.
Jun WangThoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China. jwangmd@pku.edu.cn.
Jiahong DongHepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China. dongjiahong@mail.tsinghua.edu.cn.
Zhenhua HuCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China. zhenhua.hu@ia.ac.cn.
Jie TianKey Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, China. tian@ieee.org.ORCID http://orcid.org/0000-0003-0498-0432
Chinese Academy of Sciences · CNPeking University · CNBeihang University · CNBeijing Tsinghua Chang Gung Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNShandong Institute of Automation · CNShandong University · CNShanxi Medical University · CNSun Yat-sen University · CNXidian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel strategies utilizing light in the second near-infrared region (NIR-II; 900-1,880 nm wavelengths) offer the potential to visualize and treat solid tumours with enhanced precision. Over the past few decades, numerous techniques leveraging NIR-II light have been developed with the aim of precisely eliminating tumours while maximally preserving organ function. During cancer surgery, NIR-II optical imaging enables the visualization of clinically occult lesions and surrounding vital structures with increased sensitivity and resolution, thereby enhancing surgical quality and improving patient prognosis. Furthermore, the use of NIR-II light promises to improve cancer phototherapy by enabling the selective delivery of increased therapeutic energy to tissues at greater depths. Initial clinical studies of NIR-II-based imaging and phototherapy have indicated impressive potential to decrease cancer recurrence, reduce complications and prolong survival. Despite the encouraging results achieved, clinical translation of innovative NIR-II techniques remains challenging and inefficient; multidisciplinary cooperation is necessary to bridge the gap between preclinical research and clinical practice, and thus accelerate the translation of technical advances into clinical benefits. In this Review, we summarize the available clinical data on NIR-II-based imaging and phototherapy, demonstrating the feasibility and utility of integrating these technologies into the treatment of cancer. We also introduce emerging NIR-II-based approaches with substantial potential to further enhance patient outcomes, while also highlighting the challenges associated with imminent clinical studies of these modalities.

Indexed as

Infrared RaysNeoplasmsHumansMedical OncologyOptical ImagingPhototherapy

Identifiers

PMID38693335
OpenAlexW4396566906

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.