Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy

Background: Fine-needle aspiration cytology (FNAC) of the lymph nodes is the first-line evaluation of lymphadenopathy of unknown etiology. For better diagnostic clarity and proper communication to clinicians, the Sydney System was proposed in 2020 for the performance, classification, and reporting o...

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Main Authors: Sudipta Das, Aseema Das, Bandita Das
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-12-01
Series:Journal of Cytology
Subjects:
Online Access:https://doi.org/10.4103/joc.joc_168_23
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author Sudipta Das
Aseema Das
Bandita Das
author_facet Sudipta Das
Aseema Das
Bandita Das
author_sort Sudipta Das
collection DOAJ
description Background: Fine-needle aspiration cytology (FNAC) of the lymph nodes is the first-line evaluation of lymphadenopathy of unknown etiology. For better diagnostic clarity and proper communication to clinicians, the Sydney System was proposed in 2020 for the performance, classification, and reporting of lymph node cytopathology. The present study was conducted to analyze the diagnostic performance and risk of malignancy (ROM) associated with each of the diagnostic categories of the proposed Sydney System. Materials and Methods: This retrospective study was conducted over 2 years. All patients with lymphadenopathy undergoing FNAC during the study period for which subsequent histopathological examination (HPE) reports or clinical follow-up data were available were included in the study. The original diagnoses were reviewed, and each case was assessed according to the first diagnostic level of the Sydney System classification. The diagnostic accuracy and ROM were correlated with FNAC diagnoses. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of lymph node FNAC were calculated using SPSS version 20.0. Results: A total of 456 out of 753 cases were selected in the study as they had subsequent histopathological correlation and/or clinical follow-up data. The majority were females n = 294 (64.4%). The most common lymph node was the cervical group (n = 274, 60%). On Statistical Analysis: sensitivity 82.8%, specificity 97.5%, PPV 95.3%, NPV 90.1%, and diagnostic accuracy 92%. Conclusion: The sydney system, which introduces a uniform categorization, may increase the lymph node FNAC diagnostic accuracy.
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spelling doaj-art-54f8ec3d02f449d9a00b6dd0ffe05a0d2025-01-14T11:22:54ZengWolters Kluwer Medknow PublicationsJournal of Cytology0970-93710974-51652024-12-0141420120610.4103/joc.joc_168_23Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic AccuracySudipta DasAseema DasBandita DasBackground: Fine-needle aspiration cytology (FNAC) of the lymph nodes is the first-line evaluation of lymphadenopathy of unknown etiology. For better diagnostic clarity and proper communication to clinicians, the Sydney System was proposed in 2020 for the performance, classification, and reporting of lymph node cytopathology. The present study was conducted to analyze the diagnostic performance and risk of malignancy (ROM) associated with each of the diagnostic categories of the proposed Sydney System. Materials and Methods: This retrospective study was conducted over 2 years. All patients with lymphadenopathy undergoing FNAC during the study period for which subsequent histopathological examination (HPE) reports or clinical follow-up data were available were included in the study. The original diagnoses were reviewed, and each case was assessed according to the first diagnostic level of the Sydney System classification. The diagnostic accuracy and ROM were correlated with FNAC diagnoses. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of lymph node FNAC were calculated using SPSS version 20.0. Results: A total of 456 out of 753 cases were selected in the study as they had subsequent histopathological correlation and/or clinical follow-up data. The majority were females n = 294 (64.4%). The most common lymph node was the cervical group (n = 274, 60%). On Statistical Analysis: sensitivity 82.8%, specificity 97.5%, PPV 95.3%, NPV 90.1%, and diagnostic accuracy 92%. Conclusion: The sydney system, which introduces a uniform categorization, may increase the lymph node FNAC diagnostic accuracy.https://doi.org/10.4103/joc.joc_168_23fnaclymph nodesydney system
spellingShingle Sudipta Das
Aseema Das
Bandita Das
Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy
Journal of Cytology
fnac
lymph node
sydney system
title Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy
title_full Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy
title_fullStr Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy
title_full_unstemmed Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy
title_short Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy
title_sort application of the sydney system for classification and reporting lymph node cytopathology to assess the risk of malignancy and its diagnostic accuracy
topic fnac
lymph node
sydney system
url https://doi.org/10.4103/joc.joc_168_23
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AT aseemadas applicationofthesydneysystemforclassificationandreportinglymphnodecytopathologytoassesstheriskofmalignancyanditsdiagnosticaccuracy
AT banditadas applicationofthesydneysystemforclassificationandreportinglymphnodecytopathologytoassesstheriskofmalignancyanditsdiagnosticaccuracy