Evidence map›Paper›PMID 37946702›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Clinically Translatable Solid-State Dye for NIR-II Imaging of Medical Devices.

Deling Li, Hui Shi, Qingrong Qi, Baisong Chang, Yuanwen Jiang, Kun Qian, Xiudong Guan, Peng Kang, Ning Ma, Yuan Zhang and 16 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Dynamic Pathophysiological Insight into the Brain by NIR-II Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Clinically Translatable Solid-State Dye for NIR-II Imaging of Medical Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

26 authors at 7 institutions in 2 countries.

Deling LiDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.ORCID 0000-0002-4300-7136
Hui ShiMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Qingrong QiMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Baisong ChangMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Yuanwen JiangDepartment of Chemical Engineering, Stanford University, Stanford, CA, 94305, USA.
Kun QianState Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Xiudong GuanDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Peng KangDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Ning MaInterventional Neuroradiology Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Yuan ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Zeyu ZhangCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xiaojing ShiCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Chunrong QuState Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Yilei WuDepartment of Chemical Engineering, Stanford University, Stanford, CA, 94305, USA.
Weiyu ChenMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Hao ChenState Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Baowang LiDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Liangpeng ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Ziyang LiDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Shunchang MaDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Lingyun XuMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Yanrong ZhangMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Jie TianCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Zhenhua HuCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Wang JiaDepartment of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Zhen ChengMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0001-8177-9463
Capital Medical University · CNChinese Academy of Sciences · CNStanford Medicine · USStanford University · USBeijing Institute of Neurosurgery · CNSichuan University · CNWuhan University of Technology · CN

Funding

Beijing Natural Science Foundation JQ19027Beijing Nova Program xx2017017Beijing Talents Foundation, CAS Youth Interdisciplinary Team JCTD-2021-08Clinical Scientist Supporting grant of Beijing Tiantan Hospital YSP201902National Key Research and Development Program of China 2017YFA0205200National Natural Science Foundation of China 81971668National Natural Science Foundation of China (NSFC) 62027901National Natural Science Foundation of China (NSFC) 81227901National Natural Science Foundation of China (NSFC) 81930053National Natural Science Foundation of China (NSFC) 81971668National Natural Science Foundation of China (NSFC) 82222034National Natural Science Foundation of China (NSFC) 92059207National Natural Science Foundation of China (NSFC) U2267221National Science Foundation ECCS-1542152Radiology Department at Stanford University, and China Scholarship Council 201906080019Shanghai Municipal Science and Technology Major Project TM202301H003Zhuhai High-level Health Personnel Team Project HLHPTP201703
6 · The paper itself

Abstract

Medical devices are commonly implanted underneath the skin, but how to real-time noninvasively monitor their migration, integrity, and biodegradation in human body is still a formidable challenge. Here, the study demonstrates that benzyl violet 4B (BV-4B), a main component in the FDA-approved surgical suture, is found to produce fluorescence signal in the first near-infrared window (NIR-I, 700-900 nm) in polar solutions, whereas BV-4B self-assembles into highly crystalline aggregates upon a formation of ultrasmall nanodots and can emit strong fluorescence in the second near-infrared window (NIR-II, 1000-1700 nm) with a dramatic bathochromic shift in the absorption spectrum of ≈200 nm. Intriguingly, BV-4B-involved suture knots underneath the skin can be facilely monitored during the whole degradation process in vivo, and the rupture of the customized BV-4B-coated silicone catheter is noninvasively diagnosed by NIR-II imaging. Furthermore, BV-4B suspended in embolization glue achieves hybrid fluorescence-guided surgery (hybrid FGS) for arteriovenous malformation. As a proof-of-concept study, the solid-state BV-4B is successfully used for NIR-II imaging of surgical sutures in operations of patients. Overall, as a clinically translatable solid-state dye, BV-4B can be applied for in vivo monitoring the fate of medical devices by NIR-II imaging.

Indexed as

Coloring AgentsOptical ImagingHumansSpectroscopy, Near-InfraredColoring Agentsaggregatesin vivo imagingmedical devicesNIR-II fluorescence

Identifiers

PMID37946702
PMCPMC10754084
OpenAlexW4388573376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.