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Cervical cancer screening in low-resource settings: a smartphone image application as an alternative to colposcopy
BACKGROUND: Visual inspection after application of acetic acid (VIA) and Lugol’s iodine (VILI) is a cervical cancer (CC) screening approach that has recently been adopted in low- and middle-income countries (LMIC). Innovative technologies allow the acquisition of consecutive cervical images of VIA a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489054/ https://www.ncbi.nlm.nih.gov/pubmed/28790867 http://dx.doi.org/10.2147/IJWH.S136351 |
Sumario: | BACKGROUND: Visual inspection after application of acetic acid (VIA) and Lugol’s iodine (VILI) is a cervical cancer (CC) screening approach that has recently been adopted in low- and middle-income countries (LMIC). Innovative technologies allow the acquisition of consecutive cervical images of VIA and VILI using a smartphone application. The aim of this study was to evaluate the quality of smartphone images in order to assess the feasibility and usability of a mobile application for CC screening in LMIC. METHODS: Between May and November 2015, women aged 30–65 years were recruited in a CC screening campaign in Madagascar. Human papillomavirus-positive women were invited to undergo VIA/VILI assessment. Pictures of their cervix were taken using a Samsung Galaxy S5 with an application called “Exam”, which was designed to obtain high-quality images and to classify them in the following sequence: native, VIA, VILI and posttreatment. Experts in colposcopy were asked to evaluate if the quality of the pictures was sufficient to establish the diagnosis and to assess sharpness, focus and zoom. RESULTS: The application use was simple and intuitive, and 208 pictures were automatically classified and recorded in the patient’s file. The quality was judged as adequate for diagnosis in 93.3% of cases. The interobserver agreement was κ =0.45 (0.23–0.58), corresponding to a moderate agreement on the common scale of kappa values. CONCLUSION: This smartphone application allows the acquisition of good quality images for VIA/VILI diagnosis. The classification of images in a patient database makes them accessible to on- and off-site experts, and allows continuous clinical education. Smartphone applications may offer an alternative to colposcopy for CC screening in LMIC. |
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