Evidence map›Paper›PMID 35414973›Full record

ArticleBiomedical optics express2022

Polarization imaging-based radiomics approach for the staging of liver fibrosis.

Yue Yao, Fengdi Zhang, Bin Wang, Jiachen Wan, Lu Si, Yang Dong, Yuanhuan Zhu, Xiaolong Liu, Lihong Chen, Hui Ma

Abstract read
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Article in Biomedical optics express, 2022. 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

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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.

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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

10 authors.

Yue YaoTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Center for Precision Medicine and Healthcare, Shenzhen 518071, China.
Fengdi ZhangTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Center for Precision Medicine and Healthcare, Shenzhen 518071, China.
Bin WangFujian Medical University, Department of Pathology and Institute of Oncology, School of Basic Medical Sciences, Fuzhou 350014, China.
Jiachen WanTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Center for Precision Medicine and Healthcare, Shenzhen 518071, China.
Lu SiTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Center for Precision Medicine and Healthcare, Shenzhen 518071, China.
Yang DongTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Center for Precision Medicine and Healthcare, Shenzhen 518071, China.
Yuanhuan ZhuTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Center for Precision Medicine and Healthcare, Shenzhen 518071, China.
Xiaolong LiuTsinghua University, Department of Physics, Beijing 100084, China.
Lihong ChenFujian Medical University, Department of Pathology and Institute of Oncology, School of Basic Medical Sciences, Fuzhou 350014, China.
Hui MaTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Center for Precision Medicine and Healthcare, Shenzhen 518071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mueller matrix imaging contains abundant biological microstructure information and has shown promising potential in clinical applications. Compared with the ordinary unpolarized light microscopy that relies on the spatial resolution to reveal detailed histological features, Mueller matrix imaging encodes rich information on the microstructures even at low-resolution and wide-field conditions. Accurate staging of liver fibrosis is essential for the therapeutic diagnosis and prognosis of chronic liver diseases. In the clinic, pathologists commonly use semiquantitative numerical scoring systems to determine the stages of liver fibrosis based on the visualization of stained characteristic morphological changes, which require skilled staining technicians and well-trained pathologists. A polarization imaging based quantitative diagnostic method can help to reduce the time-consuming multiple staining processes and provide quantitative information to facilitate the accurate staging of liver fibrosis. In this study, we report a polarization imaging based radiomics approach to provide quantitative diagnostic features for the staging of liver fibrosis. Comparisons between polarization image features under a 4× objective lens with H&E image features under 4×, 10×, 20×, and 40× objective lenses were performed to highlight the superiority of the high dimensional polarization image features in the characterization of the histological microstructures of liver fibrosis tissues at low-resolution and wide-field conditions.

Identifiers

PMID35414973
PMCPMC8973194

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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.