Navigating the Diagnostic Challenges in Lymph Node Cytology: The Case of Reactive Hyperplasia

Elena Vigliar1, Gennaro Acanfora1, Mauro Buono2

  • 1Department of Public Health, University of Naples, "Federico II", Naples, Italy.

Insights

Fine needle cytology (FNC) aids in diagnosing lymph node conditions. A specific

Area of Science:

  • Cytopathology
  • Surgical Pathology
  • Oncology

Background:

  • Fine needle cytology (FNC) is crucial for differentiating benign from malignant lymphadenopathies due to its minimally invasive nature, cost-effectiveness, and accuracy.
  • Accurate FNC diagnosis relies heavily on proper sample management and morphological evaluation of aspirated cellular material.
  • Identifying specific cellular patterns aids cytopathologists in selecting appropriate ancillary tests.

Purpose of the Study:

  • To highlight the significance of morphological evaluation in FNC of lymph nodes.
  • To describe a distinctive 'concentric ovals distribution pattern' observed in FNC.
  • To assess the utility of this pattern as a diagnostic aid for reactive hyperplasia in lymph nodes.

Main Methods:

  • Morphological analysis of fine needle cytology smears from lymph nodes.
  • Identification and characterization of a specific cellular distribution pattern termed 'concentric ovals distribution pattern'.
  • Correlation of the observed pattern with cytological diagnoses of benign reactive lymph nodes.

Main Results:

  • The 'concentric ovals distribution pattern' was frequently observed in FNC samples.
  • This pattern was predominantly associated with benign reactive lymph nodes.
  • The pattern serves as a potential indicator in the cytological diagnosis of reactive hyperplasia.

Conclusions:

  • Proper morphological evaluation of FNC smears is essential for accurate lymphadenopathy diagnosis.
  • The 'concentric ovals distribution pattern' is a notable finding in benign reactive lymph nodes.
  • This pattern can assist cytopathologists in diagnosing reactive hyperplasia, complementing other diagnostic criteria.

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