Literature DB >> 35414973

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

Yue Yao1,2, Fengdi Zhang1,2, Bin Wang3,4,5, Jiachen Wan1,2, Lu Si1,2, Yang Dong1,2, Yuanhuan Zhu1,2, Xiaolong Liu6, Lihong Chen3,4,5,7, Hui Ma1,2,6,8.   

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.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35414973      PMCID: PMC8973194          DOI: 10.1364/BOE.450294

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  31 in total

1.  An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group.

Authors:  P Bedossa; T Poynard
Journal:  Hepatology       Date:  1996-08       Impact factor: 17.425

Review 2.  Classification of chronic viral hepatitis: a need for reassessment.

Authors:  P J Scheuer
Journal:  J Hepatol       Date:  1991-11       Impact factor: 25.083

Review 3.  Burden of liver diseases in the world.

Authors:  Sumeet K Asrani; Harshad Devarbhavi; John Eaton; Patrick S Kamath
Journal:  J Hepatol       Date:  2018-09-26       Impact factor: 25.083

Review 4.  Histological grading and staging of chronic hepatitis.

Authors:  K Ishak; A Baptista; L Bianchi; F Callea; J De Groote; F Gudat; H Denk; V Desmet; G Korb; R N MacSween
Journal:  J Hepatol       Date:  1995-06       Impact factor: 25.083

5.  Mueller matrix microscope: a quantitative tool to facilitate detections and fibrosis scorings of liver cirrhosis and cancer tissues.

Authors:  Ye Wang; Honghui He; Jintao Chang; Chao He; Shaoxiong Liu; Migao Li; Nan Zeng; Jian Wu; Hui Ma
Journal:  J Biomed Opt       Date:  2016-07       Impact factor: 3.170

6.  Chronic hepatitis. An update on terminology and reporting.

Authors:  K P Batts; J Ludwig
Journal:  Am J Surg Pathol       Date:  1995-12       Impact factor: 6.394

Review 7.  Digital pathology and artificial intelligence.

Authors:  Muhammad Khalid Khan Niazi; Anil V Parwani; Metin N Gurcan
Journal:  Lancet Oncol       Date:  2019-05       Impact factor: 41.316

8.  Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach.

Authors:  Hugo J W L Aerts; Emmanuel Rios Velazquez; Ralph T H Leijenaar; Chintan Parmar; Patrick Grossmann; Sara Carvalho; Sara Cavalho; Johan Bussink; René Monshouwer; Benjamin Haibe-Kains; Derek Rietveld; Frank Hoebers; Michelle M Rietbergen; C René Leemans; Andre Dekker; John Quackenbush; Robert J Gillies; Philippe Lambin
Journal:  Nat Commun       Date:  2014-06-03       Impact factor: 14.919

9.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

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  2 in total

1.  Spatial and temporal patterns in dynamic-contrast enhanced intraoperative fluorescence imaging enable classification of bone perfusion in patients undergoing leg amputation.

Authors:  Xinyue Han; Valentin Demidov; Vikrant S Vaze; Shudong Jiang; Ida Leah Gitajn; Jonathan T Elliott
Journal:  Biomed Opt Express       Date:  2022-05-03       Impact factor: 3.562

2.  Analyzing the Influence of Imaging Resolution on Polarization Properties of Scattering Media Obtained From Mueller Matrix.

Authors:  Conghui Shao; Binguo Chen; Honghui He; Chao He; Yuanxing Shen; Haoyu Zhai; Hui Ma
Journal:  Front Chem       Date:  2022-07-12       Impact factor: 5.545

  2 in total

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