Your browser doesn't support javascript.
loading
Assessment of Interobserver Agreement Among Gynecologic Pathologists Between Three-Tier Versus Binary Pattern-based Classification Systems for HPV-associated Endocervical Adenocarcinoma.
Zyla, Roman E; Dodington, David W; Pakbaz, Sara; Terzic, Tatjana; Robinson, Carrie; Clarke, Blaise; Rouzbahman, Marjan; Hodgson, Anjelica.
Afiliação
  • Zyla RE; Department of Laboratory Medicine and Pathobiology, University of Toronto.
  • Dodington DW; Laboratory Medicine Program, University Health Network.
  • Pakbaz S; Department of Laboratory Medicine and Pathobiology, University of Toronto.
  • Terzic T; Laboratory Medicine Program, University Health Network.
  • Robinson C; Department of Laboratory Medicine and Pathobiology, University of Toronto.
  • Clarke B; Department of Pathology and Laboratory Medicine, Sinai Health System, Toronto, Ontario, Canada.
  • Rouzbahman M; Department of Laboratory Medicine and Pathobiology, University of Toronto.
  • Hodgson A; Department of Pathology and Laboratory Medicine, Sinai Health System, Toronto, Ontario, Canada.
Am J Surg Pathol ; 2024 Jul 17.
Article em En | MEDLINE | ID: mdl-39014547
ABSTRACT
The three-tier (A vs. B vs. C) pattern-based (Silva) classification system is a strong and fairly reproducible predictor of the risk of lymph node involvement and recurrence of human papillomavirus (HPV)-associated endocervical adenocarcinoma (EA). Recently, a binary pattern-based classification system has been proposed which incorporates the Silva pattern and lymphovascular invasion (LVI) to assign tumors as "low risk" or "high risk" and this may have superior prognostic significance compared with the three-tier system as well as current International Federation of Gynecology and Obstetrics (FIGO) staging of cervix-confined disease. The interobserver reproducibility of this binary system, however, is unknown. Representative slides from 59 HPV-associated EAs (1-3 slides/case) were independently reviewed by 5 gynecologic pathologists who participated in an online training module before the study. In the first review, a pattern was assigned using the three-tier system. On the second review, a "low risk" or "high risk" designation was assigned and the presence or absence of LVI was specifically documented. Interobserver agreement was assessed using Fleiss' kappa. The binary system showed improved interobserver agreement (kappa=0.634) compared with the three-tier system (kappa=0.564), with a higher proportion of cases having agreement between at least 4/5 reviewers (86% vs. 73%). Nineteen and 8 cases showed improved and worse interobserver agreement using the binary system, respectively; the remainder showed no change. 3/5 reviewers showed no intraobserver discrepancy while the remaining 2 did in a small subset of cases (n=2 and 4, respectively). In this study, a binary pattern-based classification system showed improved interobserver agreement compared with the traditional three-tier system.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Am J Surg Pathol / Am. j. surg. pathol / American journal of surgical pathology Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Am J Surg Pathol / Am. j. surg. pathol / American journal of surgical pathology Ano de publicação: 2024 Tipo de documento: Article
...