Smartphone-Based Visual Inspection with Acetic Acid: An Innovative Tool to Improve Cervical Cancer Screening in Low-Resource Setting.
Jana SamiSophie Lemoupa MakajioEmilien JeannotBruno KenfackRoser ViñalsPierre VassilakosPatrick PetignatPublished in: Healthcare (Basel, Switzerland) (2022)
Visual inspection with acetic acid (VIA) is recommended by the World Health Organization for primary cervical cancer screening or triage of human papillomavirus-positive women living in low-resource settings. Nonetheless, traditional VIA with the naked-eye is associated with large variabilities in the detection of pre-cancer and with a lack of quality control. Digital-VIA (D-VIA), using high definition cameras, allows magnification and zooming on transformation zones and suspicious cervical regions, as well as simultaneously compare native and post-VIA images in real-time. We searched MEDLINE and LILACS between January 2015 and November 2021 for relevant studies conducted in low-resource settings using a smartphone device for D-VIA. The aim of this review was to provide an evaluation on available data for smartphone use in low-resource settings in the context of D-VIA-based cervical cancer screenings. The available results to date show that the quality of D-VIA images is satisfactory and enables CIN1/CIN2+ diagnosis, and that a smartphone is a promising tool for cervical cancer screening monitoring and for on- and off-site supervision, and training. The use of artificial intelligence algorithms could soon allow automated and accurate cervical lesion detection.
Keyphrases
- cervical cancer screening
- deep learning
- artificial intelligence
- machine learning
- big data
- quality control
- convolutional neural network
- emergency department
- loop mediated isothermal amplification
- real time pcr
- papillary thyroid
- label free
- high resolution
- type diabetes
- high throughput
- quality improvement
- pregnant women
- squamous cell carcinoma
- squamous cell
- mass spectrometry
- adipose tissue
- young adults
- virtual reality
- quantum dots