Evidence map›Paper›PMID 38063990›Full record

ArticleAnnals of surgical oncology2024

Comparative Study of Indocyanine Green Fluorescence Imaging in Lung Cancer with Near-Infrared-I/II Windows.

Jiahui Mi, Changjian Li, Feng Yang, Xiaojing Shi, Zeyu Zhang, Lishuang Guo, Guanchao Jiang, Yun Li, Jun Wang, Fan Yang and 2 more

Open access · bronzeAbstract read
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In one paragraph

Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 6 institutions in 1 country.

Jiahui Mi *Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Changjian Li *School of Engineering Medicine, Beihang University, Beijing, China.
Feng Yang *Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Xiaojing Shi *CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Zeyu ZhangSchool of Engineering Medicine, Beihang University, Beijing, China.
Lishuang GuoSchool of Engineering Medicine, Beihang University, Beijing, China.
Guanchao JiangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Yun LiDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Jun WangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
Fan YangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China. yangfan@pkuph.edu.cn.
Zhenhua HuCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China. zhenhua.hu@ia.ac.cn.
Jian ZhouDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China. zhoujian@bjmu.edu.cn.
Peking University · CNPeking University People's Hospital · CNBeihang University · CNMinistry of Industry and Information Technology · CNShandong Institute of Automation · CNUniversity of Chinese Academy of Sciences · CN

Funding

CAS Youth Interdisciplinary Team JCTD-2021-08Fundamental Research Funds for the Central Universities JKF-YG-22-B005National Natural Science Foundation of China 62027901National Natural Science Foundation of China 81930053National Natural Science Foundation of China 82003316National Natural Science Foundation of China 92059203National Natural Science Foundation of China 92059207
6 · The paper itself

Abstract

backgroundWe compare the application of intravenous indocyanine green (ICG) fluorescence imaging in lung cancer with near-infrared-I (NIR-I) and near-infrared-II (NIR-II) windows.

methodsFrom March to December 2022, we enrolled patients who received an intravenous injection of ICG (5 mg/kg) 1 day before the planned lung cancer surgery. The lung cancer nodules were imaged by NIR-I/II fluorescence imaging systems, and the tumor-to-normal-tissue ratio (TNR) was calculated. In addition, the fluorescence intensity and signal-to-background ratio (SBR) of capillary glass tubes containing ICG covered with different thicknesses of lung tissue were measured by NIR-I/II fluorescence imaging systems.

resultsIn this study, 102 patients were enrolled, and the mean age was 59.9 ± 9.2 years. A total of 96 (94.1%) and 98 (96.1%) lung nodules were successfully imaged with NIR-I and NIR-II fluorescence, and the TNR of NIR-II was significantly higher than that of NIR-I (3.9 ± 1.3 versus 2.4 ± 0.6, P < 0.001). In multiple linear regression, solid nodules (P < 0.001) and squamous cell carcinoma (P < 0.001) were independent predictors of a higher TNR of NIR-I/II. When capillary glass tubes were covered with lung tissue whose thickness was more than 2 mm, the fluorescence intensity and the SBR of NIR-II were significantly higher than those of NIR-I.

conclusionsWe verified the feasibility of NIR-II fluorescence imaging in intravenous ICG lung cancer imaging for the first time. NIR-II fluorescence can improve the TNR and penetration depth of lung cancer with promising clinical prospects.

Indexed as

Indocyanine GreenLung NeoplasmsAgedFluorescenceHumansLungMiddle AgedOptical ImagingIndocyanine GreenClinical applicationFluorescence imagingIndocyanine greenLung cancer surgeryNear-infrared-II windows

Identifiers

PMID38063990
OpenAlexW4389477473

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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.