Performance of lymph node cytopathology in diagnosis and characterization of lymphoma in dogs.


Journal

Journal of veterinary internal medicine
ISSN: 1939-1676
Titre abrégé: J Vet Intern Med
Pays: United States
ID NLM: 8708660

Informations de publication

Date de publication:
Jan 2022
Historique:
revised: 09 11 2021
received: 31 03 2021
accepted: 16 11 2021
pubmed: 28 11 2021
medline: 27 1 2022
entrez: 27 11 2021
Statut: ppublish

Résumé

Cytopathology is a minimally invasive and convenient diagnostic procedure, often used as a substitute for histopathology to diagnose and characterize lymphoma in dogs. Assess the diagnostic performance of cytopathology in diagnosing lymphoma and its histopathological subtypes in dogs. One-hundred and sixty-one lymph node samples from 139 dogs with enlarged peripheral lymph nodes. Based only on cytopathology, 6 examiners independently provided the following interpretations on each sample: (a) lymphoma vs nonlymphoma; (b) grade and phenotype; and (c) World Health Organization (WHO) histopathological subtype. Histopathology and immunohistochemistry (IHC) findings were used as reference standards to evaluate diagnostic performance of cytopathology. Clinical, clinicopathologic, and imaging data also were considered in the definitive diagnosis. Classification accuracy for lymphoma consistently was >80% for all examiners, whereas it was >60% for low grade T-cell lymphomas, >30% for high grade B-cell lymphomas, >20% for high grade T-cell lymphomas, and <40% for low grade B-cell lymphomas. Interobserver agreement evaluated by kappa scores was 0.55 and 0.32 for identification of lymphoma cases, and of grade plus immunophenotype, respectively. Cytopathology may result in accurate diagnosis of lymphoma, but accuracy decreases when further characterization is needed. Cytopathology represents a fundamental aid in identifying lymphoma and can be used as a screening test to predict grade and phenotype. However, these results must be confirmed using other ancillary techniques, including flow cytometry, histopathology, and immunohistochemistry (IHC).

Sections du résumé

BACKGROUND BACKGROUND
Cytopathology is a minimally invasive and convenient diagnostic procedure, often used as a substitute for histopathology to diagnose and characterize lymphoma in dogs.
OBJECTIVES OBJECTIVE
Assess the diagnostic performance of cytopathology in diagnosing lymphoma and its histopathological subtypes in dogs.
ANIMALS METHODS
One-hundred and sixty-one lymph node samples from 139 dogs with enlarged peripheral lymph nodes.
METHODS METHODS
Based only on cytopathology, 6 examiners independently provided the following interpretations on each sample: (a) lymphoma vs nonlymphoma; (b) grade and phenotype; and (c) World Health Organization (WHO) histopathological subtype. Histopathology and immunohistochemistry (IHC) findings were used as reference standards to evaluate diagnostic performance of cytopathology. Clinical, clinicopathologic, and imaging data also were considered in the definitive diagnosis.
RESULTS RESULTS
Classification accuracy for lymphoma consistently was >80% for all examiners, whereas it was >60% for low grade T-cell lymphomas, >30% for high grade B-cell lymphomas, >20% for high grade T-cell lymphomas, and <40% for low grade B-cell lymphomas. Interobserver agreement evaluated by kappa scores was 0.55 and 0.32 for identification of lymphoma cases, and of grade plus immunophenotype, respectively.
CONCLUSIONS AND CLINICAL IMPORTANCE CONCLUSIONS
Cytopathology may result in accurate diagnosis of lymphoma, but accuracy decreases when further characterization is needed. Cytopathology represents a fundamental aid in identifying lymphoma and can be used as a screening test to predict grade and phenotype. However, these results must be confirmed using other ancillary techniques, including flow cytometry, histopathology, and immunohistochemistry (IHC).

Identifiants

pubmed: 34837263
doi: 10.1111/jvim.16326
pmc: PMC8783335
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

204-214

Subventions

Organisme : University of Milan

Informations de copyright

© 2021 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine.

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Auteurs

Valeria Martini (V)

Department of Veterinary Medicine, University of Milan, Lodi, Italy.

Giuseppe Marano (G)

Department of Clinical Sciences and Community Health, Laboratory of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.

Luca Aresu (L)

Department of Veterinary Sciences, University of Turin, Grugliasco, Italy.

Ugo Bonfanti (U)

MYLAV La Vallonea Veterinary Diagnostic Laboratory, Rho MI, Italy.

Patrizia Boracchi (P)

Department of Clinical Sciences and Community Health, Laboratory of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy.

Mario Caniatti (M)

Department of Veterinary Medicine, University of Milan, Lodi, Italy.

Francesco Cian (F)

Batt Laboratories, University of Warwick, Coventry, United Kingdom.

Matteo Gambini (M)

Department of Veterinary Medicine, University of Milan, Lodi, Italy.

Laura Marconato (L)

Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy.

Carlo Masserdotti (C)

IDEXX Laboratories, Milano, Italy.

Arturo Nicoletti (A)

Department of Veterinary Sciences, University of Turin, Grugliasco, Italy.

Fulvio Riondato (F)

Department of Veterinary Sciences, University of Turin, Grugliasco, Italy.

Paola Roccabianca (P)

Department of Veterinary Medicine, University of Milan, Lodi, Italy.

Damiano Stefanello (D)

Department of Veterinary Medicine, University of Milan, Lodi, Italy.

Erik Teske (E)

Department of Clinical Sciences, Veterinary Faculty, Utrecht University, Utrecht, The Netherlands.

Stefano Comazzi (S)

Department of Veterinary Medicine, University of Milan, Lodi, Italy.

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Classifications MeSH