Comparison of liquid-based cytology and cell blocks prepared from cell remnants for diagnosis of cervical pathology

Ann Diagn Pathol. 2024 Apr:69:152265. doi: 10.1016/j.anndiagpath.2024.152265. Epub 2024 Jan 12.

Abstract

Background: Cervical cancer is a global public health problem with high mortality. Advances in screening programs for cervical cancer are considered key to eliminate cervical cancer. We aimed to examine the contribution of cell block analysis to the detection of epithelial cell abnormalities in cervical smear samples.

Methods: A total of 559 patients with suspected cervical pathology were examined, and their samples were analyzed by both liquid-based cytology (LBC) and cell blocks. The biopsy results of 149 out of the 559 patients were obtained.

Results: Of the 50 patients who were identified as HSIL by biopsy, only 12 were diagnosed as HSIL by the LBC method, 22 as LSIL, 12 as ASCUS, and 4 as ASC-H (p < 0.001). With the cell block analysis, results for these patients were: 20 HSIL, 17 LSIL, 7 NILM, 4 'unsatisfactory', and 2 ASC cases (p < 0.001). LBC detected only 1 of the 10 patients with biopsy-diagnosed tumors, while 7 of these were defined as HSIL, 1 as ASCUS and 1 as AGC. The results of cell block analysis in patients with biopsy-diagnosed tumors were as follows: 7 HSIL, 1 tumor, 1 ASC and 1 LSIL.

Conclusions: Cell block analysis might be superior to LBC in terms of diagnostic accuracy in cervical pathologies, particularly in the detection of HSIL. However, both methods were similarly poor in diagnosing tumors. Cell blocks may improve diagnostic accuracy and can be a complementary method to LBC, while having the advantage of revealing histological architecture.

Keywords: Cell Block; Cervical cancer; HSIL; Liquid-based cytology; Pap smear.

MeSH terms

  • Atypical Squamous Cells of the Cervix* / pathology
  • Biopsy
  • Cytodiagnosis / methods
  • Cytology
  • Female
  • Humans
  • Uterine Cervical Dysplasia* / pathology
  • Uterine Cervical Neoplasms* / diagnosis
  • Uterine Cervical Neoplasms* / pathology