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WEDNESDAY, July 1, 2020 (HealthDay News) — For women undergoing human papillomavirus (HPV)-based cervical cancer screening, automated evaluation of p16\/Ki-67 dual-stained (DS) slides reduces the number of colposcopies compared with current standards, according to a study published online June 25 in the Journal of the National Cancer Institute<\/i>.<\/p>\n
Nicolas Wentzensen, M.D., from the National Cancer Institute in Bethesda, Maryland, and colleagues developed a whole-slide imaging platform with a deep-learning classifier for p16\/Ki-67 DS slides trained on biopsy-based gold standard and compared it with conventional Pap and manual DS. The results were compared in three epidemiological studies of cervical and anal precancers from 4,253 patients.<\/p>\n
The researchers found that artificial intelligence (AI)-based DS had lower positivity than cytology and manual DS; compared with both Pap and manual DS, sensitivity was equal and specificity substantially higher. AI-based DS reduced referral to colposcopy compared with Pap (41.9 versus 60.1 percent). AI-based DS had similar performance to high-grade squamous intraepithelial lesions cytology at a higher cutoff, indicating a high enough risk for immediate treatment. The classifier was robust; performance was comparable in two cytology systems and in anal cytology.<\/p>\n
“Based on our results, it could increase the efficiency of cervical cancer screening by finding more precancers and reducing false positives, which has the potential to eliminate a substantial number of unnecessary procedures among HPV-positive women,” Wentzensen said in a statement.<\/p>\n
Several authors disclosed financial ties to the biopharmaceutical and medical technology industries.<\/p>\n