Morphological differentiation of hyperchromatic crowded groups (HCG) in cervical cytology. Possible clinical

Julio César Villarreal Ramírez1, Jesús E Guaithero Rivas2, Lorena Ramírez3

  • 1School of Bioanalysis, Faculty of Pharmacy and Bioanalysis, University of Los Andes, Mérida, Venezuela.

Insights

Hyperchromatic crowded groups (HCGs) in cervical cytology are key indicators, found in both normal and abnormal samples. Careful analysis of HCG morphology is crucial for accurate classification and clinical interpretation of cervical lesions.

Area of Science:

  • Cytopathology
  • Cervical Cancer Screening
  • Histopathology

Background:

  • Hyperchromatic crowded groups (HCGs) are hyperchromatic cellular aggregates found in cervical cytology.
  • They appear in both negative and abnormal samples during screening for cancer and premalignant lesions.

Purpose of the Study:

  • To characterize the cytomorphological features of HCG groups in cervical cytology.
  • To classify HCG groups as benign/reactive, atypical, or potentially neoplastic.
  • To explore the clinical significance of HCG groups in cervical cytology.

Main Methods:

  • Selection of conventional cervical cytology samples that were satisfactory for analysis and exhibited HCG groups.
  • Analysis of 70 cases meeting inclusion criteria from 2810 total cases.
  • Morphological characterization and classification of HCG groups.

Main Results:

  • HCG groups were identified in 70 (2.49%) of the 2810 cases.
  • HCGs were present in 41% of negative and 59% of abnormal cytology samples.
  • Atypical HCG groups (ASC-H) were most common (24.28%), followed by potentially neoplastic/HSIL (17.14%).

Conclusions:

  • The variable morphology of HCG groups necessitates careful recognition and interpretation, especially in abnormal cases.
  • HCGs composed of squamous metaplastic or glandular cells may indicate intracanal HSIL, requiring histopathological confirmation.
  • Comprehensive assessment of cellular and background features, along with clinical information, is essential for accurate HCG classification and interpretation.