Evidence map›Paper›PMID 29541528›Full record

ArticleBiomedical optics express2018

Quantitative evaluation of redox ratio and collagen characteristics during breast cancer chemotherapy using two-photon intrinsic imaging.

Shulian Wu, Yudian Huang, Qinggong Tang, Zhifang Li, Hannah Horng, Jiatian Li, Zaihua Wu, Yu Chen, Hui Li

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 37 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 3 institutions in 2 countries.

Shulian WuCollege of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, Fujian, 350007, China.
Yudian HuangDepartment of Pathology, Fuzhou First Hospital Affiliated to Fujian Medical University, Fuzhou, Fujian, 350009, China.
Qinggong TangFischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.
Zhifang LiCollege of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, Fujian, 350007, China.
Hannah HorngFischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.
Jiatian LiCollege of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, Fujian, 350007, China.
Zaihua WuDepartment of Pathology, Fuzhou First Hospital Affiliated to Fujian Medical University, Fuzhou, Fujian, 350009, China.
Yu ChenCollege of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, Fujian, 350007, China.
Hui LiCollege of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, Fujian, 350007, China.
Fujian Normal University · CNUniversity of Maryland, College Park · USFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative neoadjuvant treatment in locally advanced breast cancer is recognized as an effective adjuvant therapy, as it improves treatment outcomes. However, the potential complications remain a threat, so there is an urgent clinical need to assess both the tumor response and changes in its microenvironment using non-invasive and precise identification techniques. Here, two-photon microscopy was employed to detect morphological alterations in breast cancer progression and recession throughout chemotherapy. The changes in structure were analyzed based on the autofluorescence and collagen of differing statuses. Parameters, including optical redox ratio, the ratio of second harmonic generation and auto-fluorescence signal, collagen density, and collagen shape orientation, were studied. Results indicate that these parameters are potential indicators for evaluating breast tumors and their microenvironment changes during progression and chemotherapy. Combined analyses of these parameters could provide a quantitative, novel method for monitoring tumor therapy.

Indexed as

(100.2960) Image analysis(170.3880) Medical and biological imaging(180.4315) Nonlinear microscopy

Identifiers

PMID29541528
PMCPMC5846538
OpenAlexW2793395248

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.