Does Hr-HPV Status Influence the 2011 IFCPC Nomenclature and Swede Score's Capacity to Diagnose Precancerous Lesions?

This prospective study aims to examine the effect of 2011 IFCPC terminology, Swede score, and HPV type on the prediction of cervical precancerous lesions or cervical cancer in patients referred for colposcopy to the gynecologic oncology outpatient clinic of a university hospital between June 2024 and November 2024 for high-risk HPV carriers. An expert colposcopist evaluated all referred patients. Sample size: a sample size of 95 has been determined using the formula n = \[(Zα)2 × p(1 - p)\] / e2, with allowable error of 7%, and p value = 0.781, derived from the study done by Shojaei et al. n = \[(1.645)2 × 0.781(1-0.781)\] / 0.072. z score was used for 90% CI. 95 women underwent colposcopic examination and biopsy of at least one quadrant. All patients were positive for at least 1 type of high-risk HPV. Colposcopic features were assessed using the Swede Score and the IFCPC system 2011. The same colposcopist carried out all colposcopies and scoring. All data collected were statistically analyzed using SPSS statistical software (version 22, Chicago, IL, USA). The Kappa coefficient was calculated to assess inter-rater agreement, while Spearman's rho was used to analyze the relationship between positively paired samples. Concerning the Swede score, the investigators have assessed the effectiveness of using cut-off values of 5 and 7 to identify HSIL. The investigators also examined whether the sensitivity and specificity of these scoring systems changed when they were evaluated together with data on the HPV type and multiple hr-HPV carrier status of the patients. Descriptive statistics were conducted to analyse the demographic characteristics of the participants. Accuracy, sensitivity, specificity, PPV, NPV, and 95% confidence intervals were calculated by the SPSS program. The AUC construction was calculated from the sensitivity and specificity of the 2011 IFCPC Nomenclature and Swede score. A p-value \< 0.05 was used for all statistical tests to indicate a statistically significant difference.