Literature DB >> 29440134

Interobserver variation in the diagnosis of fibroepithelial lesions of the breast: a multicentre audit by digital pathology.

Benjamin F Dessauvagie1,2,3,4, Andrew H S Lee5, Katie Meehan4, Anju Nijhawan1, Puay Hoon Tan6, Jeremy Thomas7, Bibiana Tie3, Darren Treanor1,2,8, Seemeen Umar1, Andrew M Hanby1,2, Rebecca Millican-Slater1.   

Abstract

AIM: Fibroepithelial lesions (FELs) of the breast span a morphological continuum including lesions where distinction between cellular fibroadenoma (FA) and benign phyllodes tumour (PT) is difficult. The distinction is clinically important with FAs managed conservatively while equivocal lesions and PTs are managed with surgery. We sought to audit core biopsy diagnoses of equivocal FELs by digital pathology and to investigate whether digital point counting is useful in clarifying FEL diagnoses.
METHOD: Scanned slide images from cores and subsequent excisions of 69 equivocal FELs were examined in a multicentre audit by eight pathologists to determine the agreement and accuracy of core needle biopsy (CNB) diagnoses and by digital point counting of stromal cellularity and expansion to determine if classification could be improved.
RESULTS: Interobserver variation was high on CNB with a unanimous diagnosis from all pathologists in only eight cases of FA, diagnoses of both FA and PT on the same CNB in 15 and a 'weak' mean kappa agreement between pathologists (k=0.36). 'Moderate' agreement was observed on CNBs among breast specialists (k=0.44) and on excision samples (k=0.49). Up to 23% of lesions confidently diagnosed as FA on CNB were PT on excision and up to 30% of lesions confidently diagnosed as PT on CNB were FA on excision. Digital point counting did not aid in the classification of FELs.
CONCLUSION: Accurate and reproducible diagnosis of equivocal FELs is difficult, particularly on CNB, resulting in poor interobserver agreement and suboptimal accuracy. Given the diagnostic difficulty, and surgical implications, equivocal FELs should be reported in consultation with experienced breast pathologists as a small number of benign FAs can be selected out from equivocal lesions. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  breast pathology; digital pathology; fibroadenoma; fibroepithelial lesions; phyllodes tumour; quality assurance

Mesh:

Year:  2018        PMID: 29440134     DOI: 10.1136/jclinpath-2017-204977

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


  6 in total

1.  Morphologic and genetic heterogeneity in breast fibroepithelial lesions-a comprehensive mapping study.

Authors:  Benjamin Yongcheng Tan; Nur Diyana Md Nasir; Huan Ying Chang; Cedric Chuan Young Ng; Peiyong Guan; Sanjanaa Nagarajan; Vikneswari Rajasegaran; Jing Yi Lee; Jing Quan Lim; Aye Aye Thike; Bin Tean Teh; Puay Hoon Tan
Journal:  Mod Pathol       Date:  2020-04-22       Impact factor: 7.842

2.  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

Review 3.  Fibroepithelial lesions revisited: implications for diagnosis and management.

Authors:  Puay Hoon Tan
Journal:  Mod Pathol       Date:  2020-05-27       Impact factor: 7.842

4.  Fibroepithelial Lesions (FELs) of the Breast: Is Routine Excision Always Necessary?

Authors:  Jessica Limberg; Kelly Barker; Syed Hoda; Rache Simmons; Aya Michaels; Jennifer L Marti
Journal:  World J Surg       Date:  2020-05       Impact factor: 3.352

5.  Histopathologic, immunophenotypic, and proteomics characteristics of low-grade phyllodes tumor and fibroadenoma: more similarities than differences.

Authors:  Lingxin Zhang; Chen Yang; John D Pfeifer; Richard M Caprioli; Audra M Judd; Nathan H Patterson; Michelle L Reyzer; Jeremy L Norris; Horacio M Maluf
Journal:  NPJ Breast Cancer       Date:  2020-06-26

6.  The Use of Screencasts with Embedded Whole-Slide Scans and Hyperlinks to Teach Anatomic Pathology in a Supervised Digital Environment.

Authors:  Mary Wong; Joseph Frye; Stacey Kim; Alberto M Marchevsky
Journal:  J Pathol Inform       Date:  2018-11-14
  6 in total

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