Design and feasibility of a novel program of cervical screening in Nigeria: self-sampled HPV testing paired with visual triage.

Kanan T DesaiKayode O AjenifujaAdekunbiola BanjoClement A AdepitiAkiva NovetskyCathy SebagMark H EinsteinTemitope OyinloyeTamara R LitwinMatt HorningFatai Olatunde OlanrewajuMufutau Muphy OripelayeEsther AfolabiOluwole O OdujokoPhilip E CastleSameer AntaniBen WilsonLiming HuCourosh MehanianMaria DemarcoJulia C GageZhiyun XueLeonard R LongLi CheungDidem EgemenNicolas WentzensenMark Schiffman

Published in: Infectious agents and cancer (2020)

A cervical cancer screening program using self-sampled HPV testing, with colposcopic immediate management of women positive for HPV, proved feasible in Nigeria. Based on the collected specimens and images, we are now evaluating the use of a combination of partial HPV typing and automated visual evaluation (AVE) of cervical images to improve the accuracy of the screening program.

Keyphrases

cervical cancer screening
deep learning
quality improvement
high grade
emergency department
convolutional neural network
optical coherence tomography
machine learning
type diabetes
high throughput
metabolic syndrome
pregnant women
ultrasound guided