Evidence map›Paper›PMID 31572795›Full record

ArticleBioengineering & translational medicine2019

Understanding optical reflectance contrast for real-time characterization of epithelial precursor lesions.

Si Chen, Xin Ge, Xinyu Liu, Qianshan Ding, Nanshuo Wang, Xianghong Wang, Shufen Chen, Haitao Liang, Yunchao Deng, Qiaozhou Xiong and 5 more

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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. Article
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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

15 authors.

Si ChenSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Xin GeSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Xinyu LiuSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Qianshan DingDepartment of Gastroenterology Renmin Hospital of Wuhan University Wuhan China.
Nanshuo WangSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Xianghong WangSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Shufen ChenSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Haitao LiangSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Yunchao DengDepartment of Gastroenterology Renmin Hospital of Wuhan University Wuhan China.
Qiaozhou XiongSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Guangming NiState Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Information University of Electronic Science and Technology of China Chengdu China.
En BoSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Chenjie XuSchool of Chemical and Biomedical Engineering Nanyang Technological University Singapore Singapore.
Honggang YuDepartment of Gastroenterology Renmin Hospital of Wuhan University Wuhan China.
Linbo LiuSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.ORCID https://orcid.org/0000-0001-6691-9253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting early-stage epithelial cancers and their precursor lesions are challenging as lesions could be subtle and focally or heterogeneously distributed over large mucosal areas. Optical coherence tomography (OCT) that enables wide-field imaging of subsurface microstructures in vivo is a promising screening tool for epithelial diseases. However, its diagnostic capability has not been fully appreciated since the optical reflectance contrast is poorly understood. We investigated the back-scattered intensities from clustered or packed nanometer scale intracellular scatterers using finite-difference time-domain method and 1-μm resolution form of OCT, and uncovered that there existed correlations between the reflectance contrasts and the ultrastructural clustering or packing states of these scatterers, which allows us to interpret the physiological state of the cells. Specifically, both polarized goblet cells and foveolar cells exhibited asymmetric reflectance contrast, but they could be differentiated by the optical intensity of the mucin cup due to the different ultrastructural make-ups of the mucin granules; keratinocytes could demonstrate varied cytoplasmic intensity and their cytoplasmic contrast was closely correlated with the packing state of keratin filaments. Further preliminary study demonstrated that these new understandings of OCT image contrast enables the characterization of precancerous lesions, which could complement the current morphology-based criteria in realizing "virtual histology" and would have a profound impact for the screening and surveillance of epithelial cancers.

Indexed as

epithelial cancerkeratin filamentmucin granuleoptical biopsyoptical coherence tomographyoptical reflectance contrastprecancerous lesion

Identifiers

PMID31572795
PMCPMC6764805

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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.