Evidence map›Paper›PMID 30940105›Full record

ArticleBMC cancer2019

Multimodal multiphoton imaging for label-free monitoring of early gastric cancer.

Lianhuang Li, Deyong Kang, Zicheng Huang, Zhenlin Zhan, Changyin Feng, Yongjian Zhou, Haohua Tu, Shuangmu Zhuo, Jianxin Chen

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 29 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

9 authors at 4 institutions in 2 countries.

Lianhuang LiKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China. lhli@fjnu.edu.cn.
Deyong KangDepartment of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Zicheng HuangDepartment of Gastroenterology, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, 362002, People's Republic of China.
Zhenlin ZhanKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Changyin FengDepartment of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Yongjian ZhouDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China. zhouyjbju@163.com.
Haohua TuBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. htu@illinois.edu.
Shuangmu ZhuoKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Jianxin ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Fujian Normal University · CNFujian Medical University · CNUnion Hospital · CNUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly gastric cancer is associated with a much better prognosis than advanced disease, and strategies to improve prognosis is strictly dependent on earlier detection and accurate diagnosis. Therefore, a label-free, non-invasive imaging technique that allows the precise identification of morphologic changes in early gastric cancer would be of considerable clinical interest.

methodsIn this study, multiphoton microscopy (MPM) using two-photon excited fluorescence combined with second-harmonic generation was used for the identification of early gastric cancer.

resultsThis microscope was able to directly reveal improved cellular detail and stromal changes during the development of early gastric cancer. Furthermore, two features were quantified from MPM images to assess the cell change in size and stromal collagen change as gastric lesion developed from normal to early cancer.

conclusionsThese results clearly show that multiphoton microscopy can be used to examine early gastric cancer at the cellular level without the need for exogenous contrast agents. This study would be helpful for early diagnosis and treatment of gastric cancer, and may provide the groundwork for further exploration into the application of multiphoton microscopy in clinical practice.

Indexed as

Early Detection of CancerHumansMicroscopy, Fluorescence, MultiphotonStomach NeoplasmsEarly gastric cancerMultiphoton imagingSecond-harmonic generationTwo-photon excited fluorescence

Identifiers

PMID30940105
PMCPMC6444446
OpenAlexW2944719361

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.