Cervical cancer is the fourth most common cancer worldwide, accounting for 6.8% of new cancer cases and 8.1% of cancer-related deaths. About 85% of these deaths occurred in low- and middle-income countries. The aim of...Cervical cancer is the fourth most common cancer worldwide, accounting for 6.8% of new cancer cases and 8.1% of cancer-related deaths. About 85% of these deaths occurred in low- and middle-income countries. The aim of this study was to assess the frequency and distribution of the human papillomavirus (HPV) genotypes in women showing cytological abnormalities of the cervix at the Sourô SANOU University Hospital (CHUSS) in Bobo-Dioulasso, Burkina Faso. This is a descriptive study of women recruited at the CHUSS. The cervico-uterine smear examination was carried out at the CHUSS Anatomy and Pathology Department for cervical cancer screening. The data were collected from women with atypical cells on their cervico-uterine smear. Cervicovaginal samples were taken from consenting women and HPV genotyping was performed using the HPV Direct FLOW CHIP kit at CERBA. We obtained approval from the ethics committee. The data were analyzed using the SPSS 26 software. The results of the study showed that 67.79% of the participants were aged between 50 and 65, a group that is particularly vulnerable to persistent infection with high-risk oncogenic HPV genotypes. Of the women screened, 40.7% were HPV positive and 29.2% had multiple infections. The most common genotypes were HPV 35, followed by HPV 18, 52, 58 and 66. These data highlight the need for increased surveillance and targeted prevention strategies among this female population.展开更多
Detecting abnormal cervical cells is crucial for early identification and timely treatment of cervical cancer.However,this task is challenging due to the morphological similarities between abnormal and normal cells an...Detecting abnormal cervical cells is crucial for early identification and timely treatment of cervical cancer.However,this task is challenging due to the morphological similarities between abnormal and normal cells and the significant variations in cell size.Pathologists often refer to surrounding cells to identify abnormalities.To emulate this slide examination behavior,this study proposes a Multi-Scale Feature Fusion Network(MSFF-Net)for detecting cervical abnormal cells.MSFF-Net employs a Cross-Scale Pooling Model(CSPM)to effectively capture diverse features and contextual information,ranging from local details to the overall structure.Additionally,a Multi-Scale Fusion Attention(MSFA)module is introduced to mitigate the impact of cell size variations by adaptively fusing local and global information at different scales.To handle the complex environment of cervical cell images,such as cell adhesion and overlapping,the Inner-CIoU loss function is utilized to more precisely measure the overlap between bounding boxes,thereby improving detection accuracy in such scenarios.Experimental results on the Comparison detector dataset demonstrate that MSFF-Net achieves a mean average precision(mAP)of 63.2%,outperforming state-of-the-art methods while maintaining a relatively small number of parameters(26.8 M).This study highlights the effectiveness of multi-scale feature fusion in enhancing the detection of cervical abnormal cells,contributing to more accurate and efficient cervical cancer screening.展开更多
Introduction: Cervical cancer is the most common cause of preventable cancer<span style="font-family:;" "=""><span style="font-family:Verdana;"> related deaths;cervical c...Introduction: Cervical cancer is the most common cause of preventable cancer<span style="font-family:;" "=""><span style="font-family:Verdana;"> related deaths;cervical cancer has a long pervasive phase (cervical dysplasia);the prevalence of cervical dysplasia varies according to the socioeconomic </span><span style="font-family:Verdana;">characteristics and geographic areas of the population studied. Low-grade</span><span style="font-family:Verdana;"> lesions regress spontaneously in a significant number of patients, while high grade lesions will progress to an invasive cancer if left untreated. Cervical cancer screening is an important component of the World Health Organization (WHO) strategy for combating cervical cancer. The incidence and prevalence of cervical cancer has reduced remarkably over the last three decades in developed countries where there are effective, well-coordinated screening programs, and treatment of cervical dysplasia, while in developing countries it has been increasing and has constituted major health problems among </span><span style="font-family:Verdana;">women where there are no well-coordinated and effective screening pro</span><span style="font-family:Verdana;">grams, also resources are very low and no insurance can cover this programs. Aim of the work: The aim is to assess the prevalence of abnormal cervical cytology in Al Shatby Maternity University Hospital patients using Pap smear. Materials and methods: Inclusion criteria: 1) Married woman from 3 years or more;2) Women age from 21 to age 65 years. Exclusion criteria: 1) Previously known cervical cancer patient;2) Virgin females;3) Woman with active vaginal bleeding. Results: 83% of patients were -</span></span><span style="font-family:;" "=""><span><span style="font-family:Verdana;">ve intraepithelial neoplasia {37.7% was normal cytology and 45.3% was inflammatory}. 17% was +ve intraepithelial neoplasia (abnormal cytology), {11.1% ASCUS, 2.9% LSIL, 1.3% HSIL, 1.1% ASC-H, 0.3% AGS-NO, 0.3% AGS-Favour Neoplastic}. Prevalence of abnormal cervical cytology in age group less than30 years was 8.4% which is lower than prevalence in the middle age group which was 19.9%. Prevalence of abnormal cervical cytology in women with normal vaginal delivery was higher than those with caesarean delivery. 39.8% of our patients were passive and active smokers 61.2% of their Pap smear was abnormal cytology. 78.9% </span><span style="font-family:Verdana;">of abnormal cytology was among patients from low socioeconomic class (rural</span> <span style="font-family:Verdana;">areas). Abnormal cervical cytology in patients with high parity was 69% which</span><span style="font-family:Verdana;"> is higher than abnormality found in lower parity. 60.2% of abnormal cervical cytology was in patients who became sexually active before age of 20 years. Prevalence of abnormal cervical cytology was higher in patients with multiple sexual partners (56.5%) than patients with single sexual partner (13.3%). Conclusion: Cervical cytology remains the gold standard for cervical cancer screening and the use of Bethesda system is a simple and accurate method for diagnosis and management of cases with abnormal cervical cytology.</span></span></span>展开更多
文摘Cervical cancer is the fourth most common cancer worldwide, accounting for 6.8% of new cancer cases and 8.1% of cancer-related deaths. About 85% of these deaths occurred in low- and middle-income countries. The aim of this study was to assess the frequency and distribution of the human papillomavirus (HPV) genotypes in women showing cytological abnormalities of the cervix at the Sourô SANOU University Hospital (CHUSS) in Bobo-Dioulasso, Burkina Faso. This is a descriptive study of women recruited at the CHUSS. The cervico-uterine smear examination was carried out at the CHUSS Anatomy and Pathology Department for cervical cancer screening. The data were collected from women with atypical cells on their cervico-uterine smear. Cervicovaginal samples were taken from consenting women and HPV genotyping was performed using the HPV Direct FLOW CHIP kit at CERBA. We obtained approval from the ethics committee. The data were analyzed using the SPSS 26 software. The results of the study showed that 67.79% of the participants were aged between 50 and 65, a group that is particularly vulnerable to persistent infection with high-risk oncogenic HPV genotypes. Of the women screened, 40.7% were HPV positive and 29.2% had multiple infections. The most common genotypes were HPV 35, followed by HPV 18, 52, 58 and 66. These data highlight the need for increased surveillance and targeted prevention strategies among this female population.
基金funded by the China Chongqing Municipal Science and Technology Bureau,grant numbers 2024TIAD-CYKJCXX0121,2024NSCQ-LZX0135Chongqing Municipal Commission of Housing and Urban-Rural Development,grant number CKZ2024-87+3 种基金the Chongqing University of Technology graduate education high-quality development project,grant number gzlsz202401the Chongqing University of Technology-Chongqing LINGLUE Technology Co.,Ltd.,Electronic Information(Artificial Intelligence)graduate joint training basethe Postgraduate Education and Teaching Reform Research Project in Chongqing,grant number yjg213116the Chongqing University of Technology-CISDI Chongqing Information Technology Co.,Ltd.,Computer Technology graduate joint training base.
文摘Detecting abnormal cervical cells is crucial for early identification and timely treatment of cervical cancer.However,this task is challenging due to the morphological similarities between abnormal and normal cells and the significant variations in cell size.Pathologists often refer to surrounding cells to identify abnormalities.To emulate this slide examination behavior,this study proposes a Multi-Scale Feature Fusion Network(MSFF-Net)for detecting cervical abnormal cells.MSFF-Net employs a Cross-Scale Pooling Model(CSPM)to effectively capture diverse features and contextual information,ranging from local details to the overall structure.Additionally,a Multi-Scale Fusion Attention(MSFA)module is introduced to mitigate the impact of cell size variations by adaptively fusing local and global information at different scales.To handle the complex environment of cervical cell images,such as cell adhesion and overlapping,the Inner-CIoU loss function is utilized to more precisely measure the overlap between bounding boxes,thereby improving detection accuracy in such scenarios.Experimental results on the Comparison detector dataset demonstrate that MSFF-Net achieves a mean average precision(mAP)of 63.2%,outperforming state-of-the-art methods while maintaining a relatively small number of parameters(26.8 M).This study highlights the effectiveness of multi-scale feature fusion in enhancing the detection of cervical abnormal cells,contributing to more accurate and efficient cervical cancer screening.
文摘Introduction: Cervical cancer is the most common cause of preventable cancer<span style="font-family:;" "=""><span style="font-family:Verdana;"> related deaths;cervical cancer has a long pervasive phase (cervical dysplasia);the prevalence of cervical dysplasia varies according to the socioeconomic </span><span style="font-family:Verdana;">characteristics and geographic areas of the population studied. Low-grade</span><span style="font-family:Verdana;"> lesions regress spontaneously in a significant number of patients, while high grade lesions will progress to an invasive cancer if left untreated. Cervical cancer screening is an important component of the World Health Organization (WHO) strategy for combating cervical cancer. The incidence and prevalence of cervical cancer has reduced remarkably over the last three decades in developed countries where there are effective, well-coordinated screening programs, and treatment of cervical dysplasia, while in developing countries it has been increasing and has constituted major health problems among </span><span style="font-family:Verdana;">women where there are no well-coordinated and effective screening pro</span><span style="font-family:Verdana;">grams, also resources are very low and no insurance can cover this programs. Aim of the work: The aim is to assess the prevalence of abnormal cervical cytology in Al Shatby Maternity University Hospital patients using Pap smear. Materials and methods: Inclusion criteria: 1) Married woman from 3 years or more;2) Women age from 21 to age 65 years. Exclusion criteria: 1) Previously known cervical cancer patient;2) Virgin females;3) Woman with active vaginal bleeding. Results: 83% of patients were -</span></span><span style="font-family:;" "=""><span><span style="font-family:Verdana;">ve intraepithelial neoplasia {37.7% was normal cytology and 45.3% was inflammatory}. 17% was +ve intraepithelial neoplasia (abnormal cytology), {11.1% ASCUS, 2.9% LSIL, 1.3% HSIL, 1.1% ASC-H, 0.3% AGS-NO, 0.3% AGS-Favour Neoplastic}. Prevalence of abnormal cervical cytology in age group less than30 years was 8.4% which is lower than prevalence in the middle age group which was 19.9%. Prevalence of abnormal cervical cytology in women with normal vaginal delivery was higher than those with caesarean delivery. 39.8% of our patients were passive and active smokers 61.2% of their Pap smear was abnormal cytology. 78.9% </span><span style="font-family:Verdana;">of abnormal cytology was among patients from low socioeconomic class (rural</span> <span style="font-family:Verdana;">areas). Abnormal cervical cytology in patients with high parity was 69% which</span><span style="font-family:Verdana;"> is higher than abnormality found in lower parity. 60.2% of abnormal cervical cytology was in patients who became sexually active before age of 20 years. Prevalence of abnormal cervical cytology was higher in patients with multiple sexual partners (56.5%) than patients with single sexual partner (13.3%). Conclusion: Cervical cytology remains the gold standard for cervical cancer screening and the use of Bethesda system is a simple and accurate method for diagnosis and management of cases with abnormal cervical cytology.</span></span></span>
