Literature DB >> 31177622

Spectral histopathology of the lung: A review of two large studies.

Max Diem1,2, Ayşegül Ergin1, Xinying Mu1,3.   

Abstract

This paper summarizes results from two large lung cancer studies comprising over 700 samples that demonstrate the ability of spectral histopathology (SHP) to distinguish cancerous tissue regions from normal tissue, to differentiate benign lesions from normal tissue and cancerous lesions, and to classify lung cancer types. Furthermore, malignancy-associated changes can be identified in cancer-adjacent normal tissue. The ability to differentiate a multitude of normal cells and tissue types allow SHP to identify tumor margins and immune cell infiltration. Finally, SHP easily distinguishes small cell lung cancer (SCLC) from non-SCLC (NSCLC) and provides a further differentiation of NSCLC into adenocarcinomas and squamous cell carcinomas with an accuracy comparable of classical histopathology combined with immunohistochemistry. Case studies are presented that demonstrates that SHP can resolve interobserver discrepancies in standard histopathology.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  cancer classification; lung cancer; spectral histo-pathology; support vector machine

Mesh:

Year:  2019        PMID: 31177622     DOI: 10.1002/jbio.201900061

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  3 in total

Review 1.  Advances in Digital Pathology: From Artificial Intelligence to Label-Free Imaging.

Authors:  Frederik Großerueschkamp; Hendrik Jütte; Klaus Gerwert; Andrea Tannapfel
Journal:  Visc Med       Date:  2021-08-24

2.  Full spectrum fluorescence lifetime imaging with 0.5 nm spectral and 50 ps temporal resolution.

Authors:  Gareth O S Williams; Elvira Williams; Neil Finlayson; Ahmet T Erdogan; Qiang Wang; Susan Fernandes; Ahsan R Akram; Kev Dhaliwal; Robert K Henderson; John M Girkin; Mark Bradley
Journal:  Nat Commun       Date:  2021-11-16       Impact factor: 14.919

Review 3.  Applications of hyperspectral imaging in the detection and diagnosis of solid tumors.

Authors:  Yating Zhang; Xiaoqian Wu; Li He; Chan Meng; Shunda Du; Jie Bao; Yongchang Zheng
Journal:  Transl Cancer Res       Date:  2020-02       Impact factor: 1.241

  3 in total

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