Evidence map›Paper›PMID 32454928›Full record

ArticleScanning2020

Label-Free Identification of Early Stages of Breast Ductal Carcinoma via Multiphoton Microscopy.

Zhong Chen, Wenhui Guo, Deyong Kang, Shu Wang, Liqin Zheng, Gangqin Xi, Yuane Lian, Chuan Wang, Jianxin Chen

Open access · hybridAbstract read
In one paragraph

Article in Scanning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Improving DCIS diagnosis and predictive outcome by applying artificial intelligence.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Zhong ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China.
Wenhui GuoDepartment of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Deyong KangDepartment of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Shu WangCollege of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.
Liqin ZhengKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China.
Gangqin XiKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China.ORCID https://orcid.org/0000-0002-7888-4569
Yuane LianDepartment of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Chuan WangDepartment of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.ORCID https://orcid.org/0000-0001-6823-1030
Jianxin ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China.ORCID https://orcid.org/0000-0001-8519-4462
Fujian Medical University · CNFujian Normal University · CNFuzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer can be cured by early diagnosis. Appropriate and effective clinical treatment benefits from accurate pathological diagnosis. However, due to the lack of effective screening and diagnostic imaging methods, early stages of breast cancer often progress to malignant breast cancer. In this study, multiphoton microscopy (MPM) via two-photon excited fluorescence combined with second-harmonic generation was used for identifying the early stages of breast ductal carcinoma. The results showed differences in both cytological features and collagen distribution among normal breast tissue, atypical ductal hyperplasia, low-grade ductal carcinoma in situ, and high-grade ductal carcinoma in situ with microinvasion. Furthermore, three features extracted from the MPM images were used to describe differences in cytological features, collagen density, and basement membrane circumference in the early stages of breast ductal carcinoma. They revealed that MPM has the ability to identify early stages of breast ductal carcinoma label-free, which would contribute to the early diagnosis and treatment of breast cancer. This study may provide the groundwork for the further application of MPM in the clinic.

Indexed as

AdultAgedBreast NeoplasmsCarcinoma, Ductal, BreastCollagenFemaleHumansMicroscopy, Fluorescence, MultiphotonMiddle AgedYoung AdultCollagen

Identifiers

PMID32454928
PMCPMC7154972
OpenAlexW3014833374

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.