Publications by authors named "Clement A Adepiti"
Article Synopsis
- HPV genotype plays a crucial role in predicting cervical cancer risk, and using genotyping can improve management strategies for HPV-positive patients during cervical screening.
- The ScreenFire HPV RS assay, combined with the Zebra BioDome technology, facilitates efficient testing by processing up to 96 samples in about an hour while minimizing contamination risks with fewer pipetting steps.
- Validation studies on the Zebra BioDome showed excellent repeatability and accuracy when compared to the standard assay, suggesting it could streamline HPV testing and improve accessibility for point-of-care diagnostics in low-resource settings.
Article Synopsis
- - The study compares the effectiveness of different devices (curette, brush, and a combination of both) in collecting samples during endocervical curettage (ECC) following inadequate colposcopy or abnormal Pap results.
- - A total of 300 women participated, with results showing that the curette and combined methods produced more adequate samples than the brush alone, but all methods were equally effective in detecting cervical precancer (CIN2+).
- - The findings suggested that while curette and combination methods are more efficient in sample collection, factors like age and parity did not significantly impact the sample quality or the ability to detect CIN2+.
Background: Cervical cancer is the fourth most common cancer in women. It is a major public health problem in developing countries. Effective cervical cancer screening requires that women adhere to the screening program.
View Article and Find Full Text PDFAccelerated cervical cancer control will require widespread human papillomavirus (HPV) vaccination and screening. For screening, sensitive HPV testing with an option of self-collection is increasingly desirable. HPV typing predicts risk of precancer/cancer, which could be useful in management, but most current typing assays are expensive and/or complicated.
View Article and Find Full Text PDFA Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.
Proc IEEE Int Symp Comput Based Med Syst
June 2021
Visual inspection of the cervix with acetic acid (VIA), though error prone, has long been used for screening women and to guide management for cervical cancer. The automated visual evaluation (AVE) technique, in which deep learning is used to predict precancer based on a digital image of the acetowhitened cervix, has demonstrated its promise as a low-cost method to improve on human performance. However, there are several challenges in moving AVE beyond proof-of-concept and deploying it as a practical adjunct tool in visual screening.
View Article and Find Full Text PDFCervical cancer is a disease of significant concern affecting women's health worldwide. Early detection of and treatment at the precancerous stage can help reduce mortality. High-grade cervical abnormalities and precancer are confirmed using microscopic analysis of cervical histopathology.
View Article and Find Full Text PDFBackground: Accelerated global control of cervical cancer would require primary prevention with human papillomavirus (HPV) vaccination in addition to novel screening program strategies that are simple, inexpensive, and effective. We present the feasibility and outcome of a community-based HPV self-sampled screening program.
Methods: In Ile Ife, Nigeria, 9406 women aged 30-49 years collected vaginal self-samples, which were tested for HPV in the local study laboratory using Hybrid Capture-2 (HC2) (Qiagen).
Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach.
Annu Int Conf IEEE Eng Med Biol Soc
July 2020
Article Synopsis
- - Cervical cancer remains a leading cause of death among women globally, making early screening for its precursors, particularly Cervical Intraepithelial Neoplasia (CIN), crucial for improving survival rates.
- - Visual Inspection with Acetic Acid (VIA) is a common method for detecting cervical lesions but relies heavily on the subjective assessment of health workers, which can vary in quality.
- - A new deep learning algorithm called Automated Visual Evaluation (AVE) can analyze cervigrams more accurately than human experts and, when combined with image quality assessment tools, has shown promising results on low-end smartphones for efficient cervical cancer screening.
Aim: This study was undertaken to determine the prevalence of post-partum urinary retention after vaginal delivery and to examine the associated risk factors.
Material And Methods: This was a prospective observational study carried out over a 2-month period at the major university teaching hospital in southwestern Nigeria.
Results: Prevalence of post-partum urinary retention was 29.
How does increasing access to treatment affect the demand for preventive testing? In this paper we present results from a field experiment in Nigeria in which we offered cervical cancer screening to women at randomly chosen prices. To test our hypothesis, we also offered women a lottery where the payoff was a subsidy towards the cost of cervical cancer treatment (conditional upon a diagnosis of cervical cancer). We find that women randomly selected to receive the conditional cancer treatment subsidy were about 4 percentage points more likely to take up screening than those in the control group.
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