CIN Extension at Colposcopy: Relation to Treatment and Blood Parameters

J Obstet Gynaecol Can. 2022 Mar;44(3):255-260. doi: 10.1016/j.jogc.2021.10.008. Epub 2021 Oct 28.

Abstract

Objective: To determine the colposcopic lesion size that predicts the presence of residual lesion in patients with cervical intraepithelial neoplasia (CIN) 2/3, to aid gynaecologists in selecting conservative management.

Methods: Data from 51 patients with low- and high-grade squamous intraepithelial lesions were evaluated. Colposcopic images were captured and lesion areas were calculated. Polymerase chain reaction (PCR) for human papillomavirus was performed. Laboratory parameters were evaluated. Receiver operating characteristic (ROC) curves were used to obtain cut-off values for lesion area. The performance of PCR in the detection of high-grade CIN was assessed. A flowchart was created to compare the costs of related procedures in the Brazilian health system.

Results: For CIN 2/3 treated with excisional surgery, the best cut-off value for lesion area below which no residual lesion was present was 21 019 pixels2 (58.87 mm2). The cut-off value that predicted compromised surgical margins was 155 577.65 pixels2 (435.75 mm2). Among all patients with CIN, lesion area correlated inversely with neutrophil/lymphocyte ratio (NLR; r = -0.446, P = 0.001), platelet/lymphocyte ratio (PLR; r = -0.438, P = 0.001), and absolute number of leukocytes (r = -0.351, P = 0.011). Conservative clinical management with semi-annual clinical follow-up was found to reduce direct costs to the Brazilian Health System by R $909.82 (US $169.42).

Conclusion: CIN reflects systemic alteration, leading to altered NLRs, PLRs, and absolute numbers of leukocytes. Patients with high-grade CIN and colposcopic lesion areas <21 019 pixels2 could benefit from conservative management, which would result in cost savings for the Brazilian health system.

Keywords: cervical intraepithelial neoplasia; colposcopy; cost analysis; lymphocytes; neutrophil.

MeSH terms

  • Colposcopy / methods
  • Female
  • Humans
  • Papillomaviridae
  • Pregnancy
  • ROC Curve
  • Uterine Cervical Dysplasia* / diagnosis
  • Uterine Cervical Neoplasms* / diagnosis
  • Uterine Cervical Neoplasms* / surgery