Literature DB >> 26209730

Second harmonic generation microscopy is a novel technique for differential diagnosis of breast fibroepithelial lesions.

Wai Jin Tan1, Jie Yan1, Shuoyu Xu1, Aye Aye Thike2, Boon Huat Bay3, Hanry Yu4, Min-Han Tan1, Puay Hoon Tan5.   

Abstract

Breast fibroepithelial lesions, including fibroadenomas and phyllodes tumours, are commonly encountered in clinical practice. As histological differences between these two related entities may be subtle, resulting in a challenging differential diagnosis, pathological techniques to assist the differential diagnosis of these two entities are of high interest. An accurate diagnosis at biopsy is important given corresponding implications for clinical decision-making including surgical extent and monitoring. Second harmonic generation (SHG) microscopy is a recently developed optical imaging technique capable of robust, powerful and unbiased label-free direct detection of collagen fibril structure in tissue without the use of antibodies. We constructed tissue microarrays emulating limited materials on biopsy to investigate quantitative collagen signal in fibroepithelial lesions using SHG microscopy. Archived formalin-fixed paraffin-embedded materials of 47 fibroepithelial lesions (14 fibroadenomas and 33 phyllodes tumours) were evaluated. Higher collagen signal on SHG microscopy was observed in fibroadenomas than phyllodes tumours on SHG imaging (p<0.001, area under the curve 0.859). At an automated threshold (2.5 million positive pixels), the sensitivity and specificity of the SHG microscopy for fibroadenoma classification was 71.4% and 84.4%, respectively. To corroborate these findings, we performed immunohistochemistry on tissue array sections using collagen I and III primary antibodies. Both collagen I and III immunohistochemical expressions were also significantly higher in fibroadenomas than in phyllodes tumours (p<0.001). In conclusion, label-free collagen quantitation on SHG microscopy is a novel imaging approach that can aid the differential diagnosis of fibroepithelial lesions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  BREAST PATHOLOGY; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY

Mesh:

Substances:

Year:  2015        PMID: 26209730     DOI: 10.1136/jclinpath-2015-203231

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  3 in total

1.  Computer-Aided Detection of Quantitative Signatures for Breast Fibroepithelial Tumors Using Label-Free Multi-Photon Imaging.

Authors:  Kana Kobayashi-Taguchi; Takashi Saitou; Yoshiaki Kamei; Akari Murakami; Kanako Nishiyama; Reina Aoki; Erina Kusakabe; Haruna Noda; Michiko Yamashita; Riko Kitazawa; Takeshi Imamura; Yasutsugu Takada
Journal:  Molecules       Date:  2022-05-23       Impact factor: 4.927

2.  Exploring Collagen Parameters in Pure Special Types of Invasive Breast Cancer.

Authors:  Rodrigo de Andrade Natal; Geisilene R Paiva; Vitor B Pelegati; Ludwing Marenco; César A Alvarenga; Renato F Vargas; Sophie F Derchain; Luis O Sarian; Camille Franchet; Carlos L Cesar; Fernando C Schmitt; Britta Weigelt; José Vassallo
Journal:  Sci Rep       Date:  2019-05-22       Impact factor: 4.379

3.  Canine mammary cancer tumour behaviour and patient survival time are associated with collagen fibre characteristics.

Authors:  Ana P V Garcia; Luana A Reis; Fernanda C Nunes; Francis G J Longford; Jeremy G Frey; Ana M de Paula; Geovanni D Cassali
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

  3 in total

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