AI Article Synopsis

  • This research estimates the effectiveness of colposcopy in diagnosing high-grade squamous lesions and carcinomas (HSIL+) by measuring rates of concordance, sensitivity, and other predictive values over a 7.5-year period.
  • A total of 4,778 colposcopies from 4,001 women were analyzed, revealing varying concordance rates for different lesion types, with the highest rates seen in more experienced examiners.
  • The study highlights the importance of careful evaluation, especially for women over 35 years old with specific transformation zones, due to a higher risk of misdiagnosis.

Article Abstract

Background: The purpose of this research is to estimate the rate of concordance, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of colposcopy for high-grade squamous lesions and carcinomas (HSIL+). Methods: We conducted a retrospective study of colposcopies performed in the certified Dysplasia Unit in Erlangen between January 2015 and May 2022 (7.5 years). The colposcopic findings were correlated with biopsies obtained during examinations or surgery. Cases without histology were excluded. The primary outcome was the rate of concordance between the colposcopic and histological findings in relation to the type of transformation zone (TZ), examiner’s level of experience and age of the patients. Results: A total of 4778 colposcopies in 4001 women were analyzed. The rates of concordance for CIN I/LSIL, CIN II/HSIL, CIN III/HSIL, and carcinoma were 43.4%, 59.5%, 78.5%, and 53.9%, respectively. The rate of concordance was lowest for TZ3 and highest for colposcopists with more than 10 years’ experience. Conclusions: Colposcopy is an important, feasible, and effective method. Careful work-up needs to be performed for women with TZ3 who are over 35 years old, as they are at the highest risk of being misdiagnosed. The highest concordance for detecting HSIL+ was seen for colposcopists with >10 years’ experience.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600163PMC
http://dx.doi.org/10.3390/diagnostics12102436DOI Listing

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