The Sydney system for lymph node FNA biopsy cytopathology: A detailed analysis of recent publications and meta‐analysis and a proposal for the components of an ideal prospective study of a cytopathology reporting system

Author:

Liang Sharron12ORCID,Cozzolino Immacolata3,Zeppa Pio4ORCID,Field Andrew S.125ORCID

Affiliation:

1. Department of Anatomical Pathology St. Vincent’s Hospital and University of NSW Sydney New South Wales Australia

2. Medical School, University of NSW Sydney Sydney New South Wales Australia

3. Vanvitalli University of Naples Naples Italy

4. University of Salerno Pathology Institute AOU San Giovanni di Dio e Ruggi d’Aragona Salerno, Fisciano Italy

5. Medical School, Notre Dame University Sydney Sydney New South Wales Australia

Abstract

AbstractBackgroundThe Sydney system for fine‐needle aspiration biopsy of lymph nodes has five categories, stressing the role of correlation of cytopathology with clinical, ultrasound, and ancillary findings to achieve diagnosis. The five categories constitute a hierarchical system with increasing risk of malignancy from benign to atypical, suspicious, and malignant categories, which informs recommendations for further workup to achieve a final diagnosis as possible. This article analyzes 10 publications using the Sydney system and a meta‐analysis of nine of these studies. The primary goal of the analysis is to ascertain the causes of the large ranges in risk of malignancy for the “atypical” and “inadequate” compared to “benign,” “suspicious,” and “malignant” categories, which were comparable to well‐established reporting systems. Research protocols are proposed to improve future studies.MethodsPubMed literature search from January 2021 to December 2023 identified studies evaluating performance of the Sydney system.ResultsTen studies showed heterogeneity with clinical setting, study design, ultrasound use and rapid on‐site evaluation, operator, cutoff points for “positive” cases, with inherent partial verification biases, resulting in a wide range of risk of malignancy, specificity, and sensitivity values.ConclusionAnalysis shows the large range is due to heterogeneity of the studies, which suffer from biases and variable statistical analysis that are ultimately included in any meta‐analysis, detracting from the usefulness of the risk of malignancy derived by the meta‐analysis. Components for ideal analyses of reporting systems are presented.

Publisher

Wiley

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