論文

査読有り
2014年4月

Diagnostic accuracy of endoscopic biopsies for the diagnosis of gastrointestinal follicular lymphoma: a clinicopathologic study of 48 patients

ANNALS OF DIAGNOSTIC PATHOLOGY
  • Masaya Iwamuro
  • ,
  • Hiroyuki Okada
  • ,
  • Katsuyoshi Takata
  • ,
  • Soichiro Nose
  • ,
  • Katsuya Miyatani
  • ,
  • Tadashi Yoshino
  • ,
  • Kazuhide Yamamoto

18
2
開始ページ
99
終了ページ
103
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.anndiagpath.2013.12.006
出版者・発行元
ELSEVIER SCIENCE INC

The purpose of this study was to reveal the diagnostic accuracy of initial pathologic assessment of biopsied samples in patients with gastrointestinal follicular lymphoma lesions. A total of 48 patients with follicular lymphoma (Lugano system stage I: n = 30; II1: n = 4; II2: n = 4; IV: n = 10) with gastrointestinal involvement who underwent endoscopic biopsy were enrolled and retrospectively reviewed. Nine (18.8%) of the 48 patients were not appropriately diagnosed as having follicular lymphoma at the initial biopsy. The initial pathological diagnosis included extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (n = 4), necrotic tissue (n = 2), duodenitis (n = 1), or suspected lymphoma of unspecified subtype (n = 2). The reasons for these inappropriate diagnoses were insufficient histopathologic analysis lacking CD10 and BCL2 staining (n = 7) and unsuitable biopsy samples taken from erosions or ulcers that contained scanty lymphoma cells or no lymphoid follicles (n = 2). In conclusion, incomplete histopathologic analysis and unsuitable biopsy samples are pitfalls in the diagnosis of gastrointestinal follicular lymphoma. (c) 2014 Elsevier Inc. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.anndiagpath.2013.12.006
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000333440600012&DestApp=WOS_CPL
URL
http://orcid.org/0000-0002-1757-5754
ID情報
  • DOI : 10.1016/j.anndiagpath.2013.12.006
  • ISSN : 1092-9134
  • eISSN : 1532-8198
  • ORCIDのPut Code : 29302339
  • Web of Science ID : WOS:000333440600012

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