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Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China.
BMC Womens Health
January 2025
Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha, China.
Background: Persistent infection with high-risk human papillomavirus (HPV) is a significant risk factor for cervical cancer. HPV typing and cytology are conducted in women of appropriate age to assess the risk of cervical lesions and to guide the need for further diagnostic procedures such as colposcopy, cervical biopsy, or treatment. This article explores methods to predict the risks of high-grade precancerous cervical lesions based on high-risk HPV typing.
View Article and Find Full Text PDFTo assess the diagnostic accuracy of self-collected urine and vaginal samples for the identification of precancerous cervical lesions in the referral population using high-risk human papillomavirus (hrHPV) assays based on polymerase chain reaction (PCR). It was a prospective study carried out in China from June 2021 to March 2022. The vaginal and urine samples were collected and analyzed by using a newly developed specific hrHPV PCR test, and matched cervical samples were analyzed by using an approved hrHPV DNA test.
View Article and Find Full Text PDFPrevalence rate of high-grade cytological lesions of the cervix in women aged under 25 years in French Guiana.
Eur J Obstet Gynecol Reprod Biol
January 2025
Hôpitaux Universitaires de Strasbourg, département de Gynécologie et d'Obstétrique, Strasbourg, France.
Introduction: The incidence of cervical cancer in French Guiana is among the highest worldwide. It ranks 5th among all cancers and is the 2nd most common cancer in women after breast cancer. The primary objective of this study was to establish the proportion of high-grade cytological lesions of the cervix in women under 25 years of age who underwent a cervico-uterine smear (CUS) in French Guiana over a 10-year period.
View Article and Find Full Text PDFFeasibility study of hyperspectral colposcopy as a novel tool for detecting precancerous cervical lesions.
Sci Rep
January 2025
Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain.
Cervical cancer remains a major global health concern, with a specially alarming incidence in younger women. Traditional detection techniques such as the Pap smear and colposcopy often lack sensitivity and specificity and are highly dependent on the experience of the gynaecologist. In response, this study proposes the use of Hyperspectral Imaging, a pioneering technology that combines traditional imaging with spectroscopy to provide detailed spatial and spectral information.
View Article and Find Full Text PDFBMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.
Sci Data
December 2024
Department of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, RI, 02912, USA.
In the past several years, a few cervical Pap smear datasets have been published for use in clinical training. However, most publicly available datasets consist of pre-segmented single cell images, contain on-image annotations that must be manually edited out, or are prepared using the conventional Pap smear method. Multicellular liquid Pap image datasets are a more accurate reflection of current cervical screening techniques.
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