Abstract
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.
Highlights
The World Health Organization stated that in 2020, 604,127 women were diagnosed with cervical cancer and 341,831 women are estimated to have died from the disease worldwide [1]
We assess the use of artificial intelligence (AI)-assisted colposcopy in a tertiary hospital cervical diagnostic pathology unit
48 patients with abnormal PAP smear, and/or positive HR-Human papilloma virus (HPV), and/or abnormal subjective morphology of the cervix were qualified for colposcopy based on referrals from their gynecologist
Summary
The World Health Organization stated that in 2020, 604,127 women were diagnosed with cervical cancer and 341,831 women are estimated to have died from the disease worldwide [1]. Novel methods of prevention, screening, diagnosis and the identification of etiological risk factors have transformed cervical cancer into a preventable, as well as manageable, disease if diagnosed in early stages. This is accurate only when analyzing countries with well-established cervical cancer screening policies, including national guidelines on routine cervical cancer screening and follow-up. The ability to perform routine cervical cancer screening may vary with regards to socioeconomic status, as well as access to health services. Procedure or novel technology that speeds up the screening process or decreases the burden on medical services is beneficial
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