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Explanation and Use of the Colposcopy Terminology of the IFCPC (International Federation for Cervical Pathology and Colposcopy) Rio 2011.

ABSTRACT: In July 2012 a revised terminology on colposcopic examinations of the cervix uteri was adopted by IFCPC. Central aspect is a description of characteristics that should aid in the definition of the disease entity cervix uteri. The nomenclature is built up in such a way that the examiner can evaluate colposcopic criteria according to a specific scheme. Firstly it is assessed whether the colposcopy is representative. Then it should be clarified whether or not the findings are normal. If the findings are not normal but rather abnormal the severity of the lesion is classified according to the so-called grade 1 (minor change) and grade 2 findings (major change). Specific abnormal findings such as leukoplakia, erosion and Lugol's finding are also not defined at this point. Characteristics suspicious for an invasion are described separately, in particular, atypical vessel patterns are mentioned here. As already held in the previous revised nomenclature (Barcelona), various findings are described in a last group: congenital transformation zones (CTZ), congenital anomalies, condylomas (papillomas), endometriosis, polyps (ectocervical, endocervical), inflammation, stenosis, postoperative changes (scarred portio, vaginal stump).

SUBMITTER: Quaas J

PROVIDER: S-EPMC3859163 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

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Explanation and Use of the Colposcopy Terminology of the IFCPC (International Federation for Cervical Pathology and Colposcopy) Rio 2011.

Quaas J J Reich O O Frey Tirri B B Küppers V V

Geburtshilfe und Frauenheilkunde 20130901 9

In July 2012 a revised terminology on colposcopic examinations of the cervix uteri was adopted by IFCPC. Central aspect is a description of characteristics that should aid in the definition of the disease entity cervix uteri. The nomenclature is built up in such a way that the examiner can evaluate colposcopic criteria according to a specific scheme. Firstly it is assessed whether the colposcopy is representative. Then it should be clarified whether or not the findings are normal. If the finding ...[more]

PMID: 24771940

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Project description:INTRODUCTION: Despite the availability of preventive strategies (screening tests and vaccines), cervical cancer continues to impose a significant health burden in low- and medium-resourced countries. HIV-infected women are at increased risk for infection with human papillomavirus (HPV) and thus development of cervical squamous intraepithelial neoplasia (CIN). METHODS: Study participants included HIV-infected women enrolling the prospective open cohort of Evandro Chagas Clinical Research Institute, Oswaldo Cruz Foundation (IPEC/FIOCRUZ). At cohort entry, women were subjected to conventional Papanicolaou test, HPV-DNA test and colposcopy; lesions suspicious for CIN were biopsied. Histopathology report was based on directed biopsy or on specimens obtained by excision of the transformation zone or cervical conization. Poisson regression modeling was used to assess factors associated with CIN2+ diagnosis. RESULTS: The median age of the 366 HIV-infected women included in the study was 34 years (interquartile range: 28-41 years). The prevalence of CIN1, CIN2 and CIN3 were 20.0%, 3.5%, and 2.2%, respectively. One woman was found to have cervical cancer. The prevalence of CIN2+ was 6.0%. Factors associated with CIN2+ diagnosis in the multivariate model were age < years compared to ≥ 35 years (aPR = 3.22 95%CI 1.23-8.39), current tobacco use (aPR = 3.69 95%CI 1.54-8.78), nadir CD4 T-cell count <350 cells/mm3 when compared to ≥ 350 cells/mm3 (aPR = 6.03 95%CI 1.50-24.3) and concomitant diagnosis of vulvar and/or vaginal intraepithelial lesion (aPR = 2.68 95%CI 0.99-7.24). DISCUSSION: Increased survival through wide-spread use of highly active antiretroviral therapy might allow for the development of cervical cancer. In Brazil, limited cytology screening and gynecological care adds further complexity to the HIV-HPV co-infection problem. Integrated HIV care and cervical cancer prevention programs are needed for the prevention of cervical cancer mortality in this group of women.

Project description:The rising global incidence of cervical cancer is estimated to have affected more than 600,000 women, and nearly 350,000 women are predicted to have died from the disease in 2020 alone. Novel advances in cancer prevention, screening, diagnosis and treatment have all but reduced the burden of cervical cancer in developed nations. Unfortunately, cervical cancer is still the number one gynecological cancer globally. A limiting factor in managing cervical cancer globally is access to healthcare systems and trained medical personnel. Any methodology or procedure that may simplify or assist cervical cancer screening is desirable. Herein, we assess the use of artificial intelligence (AI)-assisted colposcopy in a tertiary hospital cervical diagnostic pathology unit. The study group consisted of 48 women (mean age 34) who were referred to the clinic for a routine colposcopy by their gynecologist. Cervical images were taken by an EVA-Visualcheck TM colposcope and run through an AI algorithm that gave real-time binary results of the cervical images as being either normal or abnormal. The primary endpoint of the study assessed the AI algorithm's ability to correctly identify histopathology results of CIN2+ as being abnormal. A secondary endpoint was a comparison between the AI algorithm and the clinical assessment results. Overall, we saw lower sensitivity of AI (66.7%; 12/18) compared with the clinical assessment (100%; 18/18), and histopathology results as the gold standard. The positive predictive value (PPV) was comparable between AI (42.9%; 12/28) and the clinical assessment (41.8%; 18/43). The specificity, however, was higher in the AI algorithm (46.7%; 14/30) compared to the clinical assessment (16.7%; 5/30). Comparing the congruence between the AI algorithm and histopathology results showed agreement 54.2% of the time and disagreement 45.8% of the time. A trained colposcopist was in agreement 47.9% and disagreement 52.1% of the time. Assessing these results, there is currently no added benefit of using the AI algorithm as a tool of speeding up diagnosis. However, given the steady improvements in the AI field, we believe that AI-assisted colposcopy may be of use in the future.

Dataset Information

Explanation and Use of the Colposcopy Terminology of the IFCPC (International Federation for Cervical Pathology and Colposcopy) Rio 2011.

Publications

Explanation and Use of the Colposcopy Terminology of the IFCPC (International Federation for Cervical Pathology and Colposcopy) Rio 2011.

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