Evidence map›Paper›PMID 39652447›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

High Spatiotemporal Near-Infrared II Fluorescence Lifetime Imaging for Quantitative Detection of Clinical Tumor Margins.

Zhen Chen, Linjian Huang, Duyang Gao, Zhouzhou Bao, Dehong Hu, Wei Zheng, Jing Chen, Jiuling Liao, Hairong Zheng, Zonghai Sheng

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Zhen ChenState Key Laboratory of Radio Frequency Heterogeneous Integration, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Linjian HuangResearch Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.
Duyang GaoResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.
Zhouzhou BaoDepartment of Obstetrics and Gynecology, Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
Dehong HuResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.
Wei ZhengResearch Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.
Jing ChenState Key Laboratory of Radio Frequency Heterogeneous Integration, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Jiuling LiaoResearch Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.
Hairong ZhengResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.
Zonghai ShengResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China.ORCID https://orcid.org/0000-0003-0289-029X

Funding

Guangdong Basic and Applied Basic Research Funds 2022A1515140017Guangdong Basic and Applied Basic Research Funds 2022A1515140102Guangdong Basic and Applied Basic Research Funds 2023A1515010747Guangdong Basic and Applied Basic Research Funds 2023A1515140133Guangdong Basic and Applied Basic Research Funds 2024A1515030212National Key Research and Development Program of China 2023YFF0714200National Key Research and Development Program of China 2023YFF0715200National Natural Science Foundation of China 82102106National Natural Science Foundation of China 82102123National Natural Science Foundation of China 82171958National Natural Science Foundation of China 82227806National Natural Science Foundation of China 82372022National Natural Science Foundation of China 92159304Shanghai Rising-Star Program 23QC1400100Shenzhen Basic Research Program JCYJ20230807140819041Shenzhen Hospital, Southern Medical University B2302021Shenzhen Hospital, Southern Medical University E3A1051001
6 · The paper itself

Abstract

Accurate detection of tumor margins is essential for successful cancer surgery. While indocyanine green (ICG)-based near-infrared (NIR) fluorescence (FL) surgical navigation enhances the visual identification of tumor margins, its accuracy remains subjective, underscoring the need for quantitative approaches. In this study, a high spatiotemporal fluorescence lifetime (FLT) imaging technology is developed in the second near-infrared window (NIR-II, 1000-1700 nm) for quantitative tumor margin detection, utilizing folate receptor-targeted ICG nanoprobes (FPH-ICG). FPH-ICG exhibits a significantly prolonged NIR-II FLT (750 ± 7 ps vs 260 ± 3 ps) and increased NIR-II FL brightness (FPH-ICG/ICG = 3.8). In vitro and in vivo studies confirm that FPH-ICG specifically targets folate receptor-α (FRα) on SK-OV-3 ovarian cancer cells, achieving high-contrast NIR-II FL imaging with a signal-to-background ratio of 10.8. Notably, NIR-II FLT imaging demonstrates superior accuracy (90%) and consistency in defining tumor margins compared to NIR-II FL imaging (58%) in both SK-OV-3 tumor-bearing mice and clinical tumor samples. These findings underscore the potential of NIR-II FLT imaging as a quantitative tool for guiding surgical tumor margin detection.

Indexed as

Margins of ExcisionOptical ImagingOvarian NeoplasmsAnimalsCell Line, TumorFemaleHumansIndocyanine GreenMiceMice, NudeSpectroscopy, Near-InfraredIndocyanine Greenindocyanine greenmolecular targetnear‐infrared‐II fluorescence lifetimetumor margin

Identifiers

PMID39652447
PMCPMC11791973

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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.