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

Sydney system fine-needle cytology lymph node lymphoproliferative disorders metastasis reporting system

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
21 Jul 2021
Historique:
received: 13 06 2021
revised: 16 07 2021
accepted: 20 07 2021
entrez: 27 8 2021
pubmed: 28 8 2021
medline: 28 8 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34441249
pii: diagnostics11081314
doi: 10.3390/diagnostics11081314
pmc: PMC8393909
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Elena Vigliar (E)

Department of Public Health, University of Naples "Federico II", 80131 Naples, Italy.

Gennaro Acanfora (G)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.

Antonino Iaccarino (A)

Department of Public Health, University of Naples "Federico II", 80131 Naples, Italy.

Massimo Mascolo (M)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.

Daniela Russo (D)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.

Giulia Scalia (G)

Laboratory of Clinical Research and Advanced Diagnostics, CEINGE Biotecnologie Avanzate, 80131 Naples, Italy.

Roberta Della Pepa (R)

Department of Clinical Medicine and Surgery, Hematology Section, University of Naples "Federico II", 80131 Naples, Italy.

Claudio Bellevicine (C)

Department of Public Health, University of Naples "Federico II", 80131 Naples, Italy.

Marco Picardi (M)

Department of Clinical Medicine and Surgery, Hematology Section, University of Naples "Federico II", 80131 Naples, Italy.

Giancarlo Troncone (G)

Department of Public Health, University of Naples "Federico II", 80131 Naples, Italy.

Classifications MeSH