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A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System

Fine-needle cytology (FNC) is a useful diagnostic tool in the first line evaluation of lymphadenopathy of unknown aetiology. Nevertheless, considering the large number of conditions presenting as lymphadenopathy, lymph node cytology represents a challenging scenario. Recently, an expert panel publis...

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Autores principales: Vigliar, Elena, Acanfora, Gennaro, Iaccarino, Antonino, Mascolo, Massimo, Russo, Daniela, Scalia, Giulia, Della Pepa, Roberta, Bellevicine, Claudio, Picardi, Marco, Troncone, Giancarlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393909/
https://www.ncbi.nlm.nih.gov/pubmed/34441249
http://dx.doi.org/10.3390/diagnostics11081314
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author Vigliar, Elena
Acanfora, Gennaro
Iaccarino, Antonino
Mascolo, Massimo
Russo, Daniela
Scalia, Giulia
Della Pepa, Roberta
Bellevicine, Claudio
Picardi, Marco
Troncone, Giancarlo
author_facet Vigliar, Elena
Acanfora, Gennaro
Iaccarino, Antonino
Mascolo, Massimo
Russo, Daniela
Scalia, Giulia
Della Pepa, Roberta
Bellevicine, Claudio
Picardi, Marco
Troncone, Giancarlo
author_sort Vigliar, Elena
collection PubMed
description Fine-needle cytology (FNC) is a useful diagnostic tool in the first line evaluation of lymphadenopathy of unknown aetiology. Nevertheless, considering the large number of conditions presenting as lymphadenopathy, lymph node cytology represents a challenging scenario. Recently, an expert panel published the proposal of the Sydney system for performing classification and reporting of lymph node cytopathology; the aim of the present study was to evaluate the applicability of this system. Thus, 300 lymph node FNCs performed over 1 year were reviewed and categorized according to the Sydney system classification. Overall, n = 20 cases (6.7%) were categorized as L1-inadequate/non-diagnostic; n = 104 (34.7%) as benign (L2); n = 25 (8.3%) as atypical (L3); n = 13 (4.3%) as suspicious (L4), and n = 138 (46%) as malignant (L5). FNC diagnoses were correlated with histopathologic and clinical follow-up to assess the diagnostic accuracy and the risk of malignancy (ROM) for each diagnostic category. Statistical analysis showed the following results: sensitivity 98.47%, specificity 95.33%, positive predictive value 96.27%, negative predictive value 98.08%, and accuracy 97.06%. The ROM was 50% for the category L1, 1.92% for L2, 58.3% for L3, and 100% for L4 and L5. In conclusion, FNC coupled with ancillary techniques ensures satisfactory diagnostic accuracy and the implementation of the Sydney system may improve the practice of cytopathologists.
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spelling pubmed-83939092021-08-28 A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System Vigliar, Elena Acanfora, Gennaro Iaccarino, Antonino Mascolo, Massimo Russo, Daniela Scalia, Giulia Della Pepa, Roberta Bellevicine, Claudio Picardi, Marco Troncone, Giancarlo Diagnostics (Basel) Article Fine-needle cytology (FNC) is a useful diagnostic tool in the first line evaluation of lymphadenopathy of unknown aetiology. Nevertheless, considering the large number of conditions presenting as lymphadenopathy, lymph node cytology represents a challenging scenario. Recently, an expert panel published the proposal of the Sydney system for performing classification and reporting of lymph node cytopathology; the aim of the present study was to evaluate the applicability of this system. Thus, 300 lymph node FNCs performed over 1 year were reviewed and categorized according to the Sydney system classification. Overall, n = 20 cases (6.7%) were categorized as L1-inadequate/non-diagnostic; n = 104 (34.7%) as benign (L2); n = 25 (8.3%) as atypical (L3); n = 13 (4.3%) as suspicious (L4), and n = 138 (46%) as malignant (L5). FNC diagnoses were correlated with histopathologic and clinical follow-up to assess the diagnostic accuracy and the risk of malignancy (ROM) for each diagnostic category. Statistical analysis showed the following results: sensitivity 98.47%, specificity 95.33%, positive predictive value 96.27%, negative predictive value 98.08%, and accuracy 97.06%. The ROM was 50% for the category L1, 1.92% for L2, 58.3% for L3, and 100% for L4 and L5. In conclusion, FNC coupled with ancillary techniques ensures satisfactory diagnostic accuracy and the implementation of the Sydney system may improve the practice of cytopathologists. MDPI 2021-07-21 /pmc/articles/PMC8393909/ /pubmed/34441249 http://dx.doi.org/10.3390/diagnostics11081314 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vigliar, Elena
Acanfora, Gennaro
Iaccarino, Antonino
Mascolo, Massimo
Russo, Daniela
Scalia, Giulia
Della Pepa, Roberta
Bellevicine, Claudio
Picardi, Marco
Troncone, Giancarlo
A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System
title A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System
title_full A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System
title_fullStr A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System
title_full_unstemmed A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System
title_short A Novel Approach to Classification and Reporting of Lymph Node Fine-Needle Cytology: Application of the Proposed Sydney System
title_sort novel approach to classification and reporting of lymph node fine-needle cytology: application of the proposed sydney system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393909/
https://www.ncbi.nlm.nih.gov/pubmed/34441249
http://dx.doi.org/10.3390/diagnostics11081314
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