Early Screening Of Cervical Cancer Research Articles

Electrochemical Immunosensor for the Sensitive Determination of Human Papillomavirus (HPV) 16 L1 Capsid Protein: A Leap in Cervical Cancer Diagnosis

Human Papillomavirus (HPV) is the principal cause of cervical cancer, which is still a prime universal health concern, especially in underdeveloped nations where access to advanced screening techniques is often restricted. Herein, we propose an electrochemical immunosensor for the determination of HPV 16 L1 protein, a key biomarker associated with cervical carcinogenesis. The developed immunosensor, employing glassy carbon electrode (GCE) enhanced with gold nanoparticles, provides a highly sensitive, specific, and cost-effective approach for early screening of cervical cancer. An optimized stepwise fabrication process which includes electrode surface modification and antibody immobilization, was used to enhance sensor performance. Characterization studies confirmed the effective modification of electrodes and the selectivity of immunoreactions. With an impressive limit of detection (LOD) of 0.033 fg mL−1, the immunosensor showed a linear response to L1 protein concentrations ranging from 0.1 fg mL−1 to 1 ng mL−1. Additionally, the immunosensor exhibits excellent specificity, stability, reproducibility, and regeneration capabilities. The performance of the immunosensor was compared with the enzyme-linked immunosorbent assay (ELISA) by analyzing clinical samples (positive: n = 12; healthy: n = 5) showed satisfactory results. The findings indicated that the proposed sensing platform has the potential to be utilized for the early diagnosis of cervical cancer.

Whole slide cervical cancer classification via graph attention networks and contrastive learning

Cervical cancer is one of the most common cancers among women, which seriously threatens women’s health. Early screening can reduce the incidence rate and mortality. Thinprep cytologic test (TCT) is one of the important means of cytological screening, which has high sensitivity and specificity, and has been widely used in the early screening of cervical cancer. The automatic diagnosis of whole slide images (WSIs) by computers can effectively improve the efficiency and accuracy of doctors’ diagnoses. However, current methods ignore the intrinsic relationships between cervical cells in WSIs and neglect contextual information from the surrounding suspicious areas, and therefore limit their robustness and generalizability. In this paper, we propose a novel two-stage method to implement the automatic diagnosis of WSIs, which constructs Graph Attention Networks (GAT) based on local and global fields respectively to capture their contextual information in a hierarchical manner. In the first stage, we extract representative patches from each WSI through suspicious cell detection, and then employ a Local GAT to classify cervical cells by capturing correlations between suspicious cells in image tiles. This classification process provides the confidence and feature vectors for each suspicious cell. In the second stage, we perform WSI classification using a Global GAT model. We construct graphs corresponding to top-Kg and bottom-Kg cells for each WSI based on results from Local GAT, and introduce a supervised contrastive learning strategy to enhance the discriminative power of the extracted features. Experimental results demonstrate that our proposed method outperforms conventional approaches and effectively showcases the benefits of supervised contrastive learning. Our source code and example data are available at https://github.com/feimanman/Whole-Slide-Cervical-Cancer-Classification.

Early detection for carbohydrate antigen-19-9 based on surface enhanced Raman spectroscopy aptamer sensor

BackgroundIncipient screening for cervical cancer is crucial for treatment and improving prognosis. In this work, SERS based aptamer sensor (aptasensor) has been developed and applied to high-sensitivity detection of cervical cancer tumor marker (Carbohydrate antigen19-9 (CA19-9)) with a microporous chip, which was used as surface enhanced Raman scattering (SERS) analysis platform. MethodsThe aptamer of CA19-9 was immobilized on the gold nanodumbbell as a capture probe and the gold nanobipyramid containing complementary aptamer chains of the signal molecule Cy5 was modified as a signal probe. SERS aptasensor was constructed by combining signal probes and capture probes. It caused signal molecule Cy5 were sandwiched between the signal probes and capture probes; the constructed SERS aptasensor generated a strong SERS signal of Cy5. Based on the strong specificity of the aptamer, the CA19-9 aptamer binds specifically to CA19-9 when CA19-9 exist in the detection environment. The signal probe was released, resulting in a decrease in the SERS signal of the detection environment. ResultsUnder the optimal detection conditions, the detection limit of the aptasensor was calculated to be 1.16 × 10−3 U/mL and limit of quantification is equal to 3.87 × 10−3 U/mL. In addition, a standard cervical cancer bearing mouse model was constructed and the SERS spectra of the serum of mice at different stages were measured. The CA19-9 content in the serum of mice at different stages was calculated. Compared with the results of enzyme-linked immunosorbent assay (ELISA), relative error (RE) values (2.54 %, −6.093 %, −4.922 %, and 3.04 %) of the CA19-9 concentrations detected by the two methods on the day of 0, 7, 14 and 28. ConclusionThe proposed SERS aptasensor provides a new and reliable platform for early cervical cancer screening, and its low RE value proves that it will be a promising CA19-9 detection method.

Validation and usability of SeDAR e-health video for enhancing cervical cancer screening.

The cervical cancer (CC) incidence rate is increasing among young women aged <50 years despite early screening is proven effective. Electronic health (e-health) has great potential for disseminating health education. This study validated a newly developed e-health tool "SeDAR®" and assessed its usability via evaluations by health experts (HE), media experts (ME), and women. The SeDAR® content was developed based on protection motivation theory (PMT) using the nominal group technique and in-depth interviews that involved HE and women, respectively. Content validation was performed among the HE (n = 12) and ME (n = 5) using the content validation index (CVI) to identify their agreement. Subsequently, the Video Engagement Scale (VES®) was used to validate SeDAR® among women of different ethnicities (n = 11) to achieve ecological validity. The experts and women also commented on the presentation of the video. The validation yielded a good CVI among the HE (scale-level CVI-average [SCVI/Ave] = 0.986; scale-level CVI-universal agreement [SCVI/UA] = 0.900) and ME (SCVI/Ave = 0.979, SCVI/UA = 0.897). The highest VES® score [mean (±SD) = 92.90(±3.46)] proved the ecological validity of SeDAR®. The experts' feedback established that SeDAR® conveyed a clear message about awareness of performing CC screening and was suitable for public viewing. The women considered SeDAR® easy to understand, and it advised early exposure for early CC screening. SeDAR® was valid and could constitute an important e-health tool to improve motivation and uptake of CC screening.

Distilling OCT cervical dataset with evidential uncertainty proxy

Deep learning-based OCT image classification method is of paramount importance for early screening of cervical cancer. For the sake of efficiency and privacy, the emerging data distillation technique becomes a promising way to condense the large-scale original OCT dataset into a much smaller synthetic dataset, without losing much information for network training. However, OCT cervical images often suffer from redundancy, mis-operation and noise, etc. These challenges make it hard to compress as much valuable information as possible into extremely small synthesized dataset. To this end, we design an uncertainty-aware distribution matching based dataset distillation framework (UDM). Precisely, we adopt a pre-trained plug-and-play uncertainty estimation proxy to compute classification uncertainty for each data point in the original and synthetic dataset. The estimated uncertainty allows us to adaptively calculate class-wise feature centers of the original and synthetic data, thereby increasing the importance of typical patterns and reducing the impact of redundancy, mis-operation, and noise, etc. Extensive experiments show that our UDM effectively improves distribution-matching-based dataset distillation under both homogeneous and heterogeneous training scenarios.

Disease trend analysis platform accurately predicts the occurrence of cervical cancer under mixed diseases

Cervical cancer (CC) is one of the most common gynecological malignancies. Cytological screening, while being the most common and accurate method for detecting cervical cancer, is both time-consuming and costly. Predicting CC based on bioinformatics can assist in the rapid early screening of CC in clinical practice. Most recent CC prediction methods require a large amount of detection data or sequencing data and are not ideal for CC detection in complex disease samples. We developed the Disease trend analysis platform (Dtap), which can quickly predict the occurrence of diseases using only blood routine data. Blood routine data was collected from 1,292 cervical cancer patients, 4,860 patients with complex diseases, and 4,980 healthy individuals from various sources. The results show that the Dtap-based trend model maintained good and stable performance in the prediction task of multiple datasets as well as complex disease samples. Finally, we built DTAPCC (http://bioinfor.imu.edu.cn/dtapcc), a Dtap-based CC disease prediction platform, to help users quickly predict CC and visualize trend features.

SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection.

Cervical abnormal cell detection plays a crucial role in the early screening of cervical cancer. In recent years, some deep learning-based methods have been proposed. However, these methods rely heavily on large amounts of annotated images, which are time-consuming and labor-intensive to acquire, thus limiting the detection performance. In this paper, we present a novel Semi-supervised Cervical Abnormal Cell detector (SCAC), which effectively utilizes the abundant unlabeled data. We utilize Transformer as the backbone of SCAC to capture long-range dependencies to mimic the diagnostic process of pathologists. In addition, in SCAC, we design a Unified Strong and Weak Augment strategy (USWA) that unifies two data augmentation pipelines, implementing consistent regularization in semi-supervised learning and enhancing the diversity of the training data. We also develop a Global Attention Feature Pyramid Network (GAFPN), which utilizes the attention mechanism to better extract multi-scale features from cervical cytology images. Notably, we have created an unlabeled cervical cytology image dataset, which can be leveraged by semi-supervised learning to enhance detection accuracy. To the best of our knowledge, this is the first publicly available large unlabeled cervical cytology image dataset. By combining this dataset with two publicly available annotated datasets, we demonstrate that SCAC outperforms other existing methods, achieving state-of-the-art performance. Additionally, comprehensive ablation studies are conducted to validate the effectiveness of USWA and GAFPN. These promising results highlight the capability of SCAC to achieve high diagnostic accuracy and extensive clinical applications.

Application of one-dimensional hierarchical network assisted screening for cervical cancer based on Raman spectroscopy combined with attention mechanism

Cervical cancer is one of the most common malignant tumors among women, and its pathological change is a relatively slow process. If it can be detected in time and treated properly, it can effectively reduce the incidence rate and mortality rate of cervical cancer, so the early screening of cervical cancer is particularly critical and significant. In this paper, we used Raman spectroscopy technology to collect the tissue sample data of patients with cervicitis, Low-grade Squamous Intraepithelial Lesion, High-grade Squamous Intraepithelial Lesion, Well differentiated squamous cell carcinoma, Moderately differentiated squamous cell carcinoma, Poorly differentiated squamous cell carcinoma and cervical adenocarcinoma. A one-dimensional hierarchical convolutional neural network based on attention mechanism was constructed to classify and identify seven types of tissue samples. The attention mechanism Efficient Channel Attention Networks module and Squeeze-and-Excitation Networks module were combined with the established one-dimensional convolutional hierarchical network model, and the results showed that the combined model had better diagnostic performance. The average accuracy, F1, and AUC of the Principal Component Analysis-Squeeze and Excitation-hierarchical network model after 5-fold cross validations could reach 96.49%±2.12%, 0.97±0.03, and 0.98±0.02, respectively, which were 1.58%, 0.0140, and 0.008 higher than those of hierarchical network. The recall rate of the Principal Component Analysis-Efficient Channel Attention-hierarchical network model was as high as 96.78%±2.85%, which is 1.47% higher than hierarchical network. Compared with the classification results of traditional CNN and ResNet for seven types of cervical cancer staging, the accuracy of the Principal Component Analysis-Squeeze and Excitation-hierarchical network model is 3.33% and 11.05% higher, respectively. The experimental results indicate that the model established in this study is easy to operate and has high accuracy. It has good reference value for rapid screening of cervical cancer, laying a foundation for further research on Raman spectroscopy as a clinical diagnostic method for cervical cancer.

Exploring the causal association between rheumatoid arthritis and the risk of cervical cancer: a two-sample Mendelian randomization study

ObjectiveWhether rheumatoid arthritis patients have an increased risk of cervical cancer remains controversial, and further research is needed on this clinical question. This study aims to investigate the association between rheumatoid arthritis and the susceptibility to cervical cancer by employing Mendelian randomization methodology, utilizing the extensive dataset from human genome-wide association data analysis.MethodsThe publicly accessible MR base database was utilized to obtain the complete genome, relevant research findings, and summarized data pertaining to rheumatoid arthritis and cervical cancer. Genetic tool variables, specifically single-nucleotide polymorphisms closely linked to rheumatoid arthritis, were chosen for analysis. Four methods, namely inverse variance weighted analysis, weighted median analysis, weighted mode, and MR-Egger regression, were employed. Statistical analysis was conducted to explore the potential association between rheumatoid arthritis and susceptibility to cervical cancer.ResultsThe results of the inverse variance weighted analysis (OR = 1.096, 95% CI: 1.018–1.180, P = 0.015) indicate a significant causal relationship between rheumatoid arthritis and an increased risk of cervical cancer. Furthermore, the absence of horizontal pleiotropic effects (MR-Egger intercept = 0.00025, P = 0.574) and heterogeneity (QEgger = 2.239, I2Egger = 0.225, PEgger = 0.268, QIVW = 2.734, I2IVW = 0.220, PIVW = 0.999) suggests that the observed association is not influenced by confounding factors. Sensitivity analysis and other statistical methods also support the conclusion that genetic pleiotropy does not introduce bias to the findings.ConclusionThere is a causal relationship between rheumatoid arthritis and the occurrence of cervical cancer. People with rheumatoid arthritis is one of the high-risk groups for early screening of cervical cancer. The IL-18 may play a significant role in elevating the risk of cervical cancer among rheumatoid arthritis patients.

Determinants of cervical cancer screening among women living with HIV in Zimbabwe.

In sub-Saharan Africa (SSA), cervical cancer (CC) is the second leading cause of cancer-related deaths, with human immunodeficiency virus (HIV) seropositive women being particularly vulnerable. Despite the benefits of early CC screening in reducing HIV-related CC deaths, CC screening uptake remains limited, with wide disparities in access across SSA. As part of a larger study, this paper examines the determinants of CC screening among HIV-seropositive women of reproductive age (15-49 years) in Zimbabwe. Using the 2015 Zimbabwe Demographic and Health Survey, we conducted multilevel analyses of CC screening among 1490 HIV-seropositive women, nested in 400 clusters. Our findings revealed that, even though 74% of HIV-seropositive women knew about CC, only 17.6% of them reported ever screening for it. Women who held misconceptions about HIV (OR = 0.47, p = 0.01) were less likely to screen for CC compared to those with accurate knowledge about HIV and CC. HIV-seropositive women with secondary or higher education were more likely to screen (OR = 1.39, p = 0.04) for CC compared to those with a primary or lower level of education. Age was positively associated with screening for CC. Furthermore, locational factors, including province and rural-urban residence, were associated with CC screening. Based on these findings, we call for integrated care and management of HIV and non-communicable diseases in Southern Africa, specifically, Zimbabwe due to the legacy of HIV in the region.

Knowledge and practice of cervical cancer screening and its associated factors among women attending maternal health services at public health institutions in Assosa Zone, Benishangul-Gumuz, Northwest Ethiopia, 2022: a cross-sectional study

BackgroundCervical cancer ranks as the second most frequent cancer among all women in Ethiopia and the second most frequent cancer among women between 15 and 44 years of age, resulting...

Cervical cancer screening utilization and associated factors among women attending antenatal care at Asella Referral and Teaching Hospital, Arsi zone, South Central Ethiopia

BackgroundCervical cancer is a major public health problem affecting women worldwide. It is the second cause of mortality among women in Ethiopia. Early Cervical cancer screening has a tremendous impact on reducing morbidity and mortality related to cervical cancer infection. Therefore, this study aimed to assess cervical cancer screening utilization and associated factors among women attending Antenatal Care at Asella referral and teaching hospital, Arsi Zone, south-central Ethiopia.MethodThis study employed a facility-based cross-sectional study among 457 Antenatal Care mothers from December 2020 to February 2021. Data collection was performed using interviewer-administered structured questionnaires. Data were entered into EpiInfo Version 7 and transferred to SPSS V.21 for analysis. A logistic regression model was used to determine the factors associated with cervical cancer screening utilization and an adjusted odds ratio with a 95% confidence interval at p-value < 0.05 was computed to determine the level of statistical significance.ResultThe magnitude of cervical cancer screening utilization was found to be 7.2%(95% CI: 5.2, 10.6). Educational status of secondary and above (AOR = 2.92; 95%CI = 1.078–7.94), getting screened for any reproductive healthcare services(AOR = 4.95; 95%CI = 2.24–10.94), having multiple sexual partners(AOR = 4.55; 95%CI = 1.83–11.35), and satisfactory knowledge of cervical cancer screening(AOR = 3.89; 95%CI = 1.74–8.56) were significantly associated factors with cervical cancer screening utilization.ConclusionUtilization of cervical cancer screening was low among women attending Antenatal care at Asella Referral and Teaching hospital, Southcentral Ethiopia. Educational status, history of multiple sexual partners, getting screened for any reproductive healthcare services, and knowledge of cervical cancer screening were significant factors associated with the utilization of cervical cancer screening. Hence, to improve the utilization of Cervical cancer screening, there should be the implementation of programmed health education and awareness creation on the benefits of screening as well as the promotion of reproductive healthcare services at health facilities.

Early screening of cervical cancer based on tissue Raman spectroscopy combined with deep learning algorithms

Cervical cancer is the most common reproductive malignancy in the female reproductive system. The incidence rate and mortality rate of cervical cancer among women in China are high. In this study, Raman spectroscopy was used to collect tissue sample data from patients with cervicitis, cervical precancerous low-grade lesions, cervical precancerous high-grade lesions, well differentiated squamous cell carcinoma, moderately differentiated squamous cell carcinoma, poorly differentiated squamous cell carcinoma and cervical adenocarcinoma. The collected data were preprocessed using an adaptive iterative reweighted penalized least squares (airPLS) algorithm and derivatives. Convolutional neural network (CNN) and residual neural network (ResNet) classification models were constructed to classify and identify seven types of tissue samples. The attention mechanism efficient channel attention network (ECANet) module and squeeze-and-excitation network (SENet) module were combined with the established CNN and ResNet network models, respectively, to make the models have better diagnostic performance. The results showed that efficient channel attention convolutional neural network (ECACNN) had the best discrimination, and the average accuracy, recall, F1 and AUC values after five cross-validations could reach 94.04%, 94.87%, 94.43% and 96.86%, respectively.

Early cervical cancer screening: The influence of culture and religion.

Screening for cervical cancer at an early stage is essential for providing women with a better chance of receiving effective treatment for both precancers and cancer. Delaying screening until cancer has advanced can be detrimental, resulting in late presentation of cervical cancer and, as a result, cancer metastasis. The purpose of this study was to assess the extent to which culture and religion influence early cervical cancer screening in women. The research was conducted in one of the rural districts in Manicaland Province of Zimbabwe. A qualitative exploratory and contextual design was utilised, and data were gathered by means of semistructured interviews. At 17 semistructured interviews, data saturation was reached and further data collection terminated. Data were thematically analysed. Five themes that described participants' perceptions on culture and religion as barriers to early cervical cancer screening emerged from the data. These included a lack of knowledge, stigmatisation, cultural beliefs and values, religion and a lack of resources. These all negatively affected participants' motivation to seek early screening services. According to the study findings, culture and religion constitute impediments to early cervical cancer screening for rural women. Interventions that encourage screening, such as targeted health education and health promotion materials, must consider cultural and religious views if behaviour change in diverse groups is to be accomplished.Contribution: The study has the potential to inform Zimbabwean health policy and contribute to prospective interventions or health education that encourage women to attend early cancer screening.

CONSTRAINTS RELATED TO THE CYTOPATHOLOGICAL EXAMINATION THAT FAVOR THE LATE DIAGNOSIS OF CERVICAL CANCER

Cervical cancer, also known as cervical cancer, is a malignant tumor that develops in the cervix, mainly caused by persistent infection by some types of Human Papillomavirus, present among the female population and responsible for high rates of morbidity and mortality. mortality in the world. In women, cervical cancer can be more lethal due to low adherence to health services, as well as the lack of periodic Pap smear. Therefore, knowing the relevance of this theme, this study was developed with the aim of identifying, in the literature, the obstacles related to the Pap smear that favor the late diagnosis of cervical cancer. This is an integrative review carried out in scientific data sources: Scientific Electronic Online Library (SciELO), Latin American and Caribbean Literature on Health Sciences (LILACS) and Nursing Database (BDENF). Searches for studies were carried out from June to November 2022. The descriptors selected for the data search were: cervical neoplasms, cervical intraepithelial neoplasia, late diagnosis, all registered in the Health Sciences Descriptors (DECS). As inclusion criteria for the selection of scientific articles we have: articles published from 2017 to 2022, in Portuguese; available and complete articles. Exclusion criteria were: monographs, thesis, dissertation, publications of repeated articles in the databases. From the analysis of the literature, several obstacles that influence the evasion of women from the health systems were evidenced. In this aspect, the literature has shown that female evasion of the cytological examination is directly related to the lack of information about the importance of the Pap smear. Thus, low adherence to routine consultations and cytological examination is considered a predisposing factor for the occurrence of health problems. Such resistance, which is still quite common in primary care services, is a reflection especially of sociocultural and traditional issues that are related to religious beliefs and archaic practices. In this regard, women have been developing home practices to promote self-care. The search for health services and for gynecological consultations, in most cases, is only sought by women when they develop symptoms of pain, vaginal discharge or complaints related to anomalies, bad smell and bleeding. In addition, recent research indicates that women who live in conditions of social vulnerability are more likely to develop diseases. Faced with this reality, health professionals, especially nurses working in primary care, face numerous challenges for the early screening of cervical cancer.

Knowledge of cervical cancer prevention and treatment, and willingness to receive HPV vaccination among college students in China

BackgroundCervical cancer is the fourth most common cancer in women. Up to 99% of cervical cancer cases are associated with high-risk human papillomavirus (HPV). Sexual behavior is a direct risk factor for HPV infection, and sexually active college students, therefore, receive attention for HPV vaccination. At present, most Chinese studies lack of in-depth research on influencing factors, and are limited to cervical cancer, HPV, or HPV vaccine, without comprehensive consideration. This study investigated Chinese college students’ cervical cancer prevention and treatment knowledge level, and explored the influencing factors, and understood their willingness to receive HPV vaccination. The findings of this study will lay a foundation for promoting the early screening of cervical cancer and vaccination process.MethodsA total of 800 college students from four universities in Zhengzhou, China were selected by multistage random sampling method. A self-administered questionnaire on the knowledge of cervical cancer prevention and treatment, and willingness to receive HPV vaccination was carried out. A logistic regression model was conducted to analyze factors influencing knowledge of cervical cancer prevention and treatment among college students.ResultsUp to 87.9% of college students said they had heard of cervical cancer. The proportion of college students with good knowledge of cervical cancer prevention and treatment was 46.7%. Logistic regression showed that gender, major, grade, level of education, the father's level of education, premarital sex attitude, and mother cervical cancer screening participation had a significant influence on cervical cancer prevention and treatment knowledge level (P < 0.05). In addition, 589 (74.0%) of college students had heard of HPV vaccine, and 92.8% of college students said they were willing to get vaccinated or recommended that their relatives and friends get vaccinated.ConclusionsThe knowledge level of cervical cancer prevention and treatment knowledge among college students in Zhengzhou is low. Many of them had poor knowledge about HPV vaccine, but their willingness to vaccination is high. Various health education modes should be carried out for people with different characteristics, to improve their knowledge of cervical cancer prevention and promote the vaccination process.

Value of TCT combined with HPV and CA125 in early cervical cancer screening in a medical examination population.

This research aimed to explore the clinical value of thin prep cytologic test (TCT) combined with human papillomavirus (HPV) and carbohydrate antigen 125 (CA125) in early cervical cancer screening in the physical examination population. For this purpose, a total of 3587 females who received gynecological physical examination in the outpatient department of Ganzhou people's Hospital from January 2018 to March 2022 were included and underwent TCT, HPV and carbohydrate antigen 125 upon admission. Colposcopy biopsy was performed on patients who tested positive for any of the three indicators. Then using pathological diagnosis as the gold standard, the three methods applied alone or in combination were evaluated in terms of sensitivity, specificity, diagnostic yield and Youden index. Results showed that Among the 3587 females, 476 (13.27%) were HPV positive, 364 (10.14%) CA125 positive, and 314 (8.75%) TCT positive. Furthermore, 738 tested positive for any of the three indicators and underwent cervical biopsy. Among the 738 cases, 280 (39.94%) developed chronic cervicitis, 268 (36.31%) low-level cervical intraepithelial neoplasia (CIN), 173 (23.44%) high-level CIN, and 17 (2.30%) cervical cancer. HPV+TCT+CA125 combined screening showed higher sensitivity (94.54%), specificity (83.92%), diagnostic coincidence rate (87.46%) and Youden index (0.760) than single-indicator examinations. Also, it had the largest area under the receiver operating characteristic (ROC) curve, 0.673 (0.647, 0.699), compared to any other screening method. In conclusion, The combined detection of CA125, HPV and TCT is of clinical significance due to its higher sensitivity and accuracy in early screening of cervical cancer in the physical examination population.

The Relationship between level awareness with decision maker for early screening of cervical cancer

Introduction. Early detection of cervical cancer is an effort to prevent the incidence of cervical cancer. The results of a preliminary survey in Sukoharjo district in 2019 obtained data on the number of women of childbearing age (WUS) aged 30-50 years of 141,649 people, the number of people who were examined by IVA was 4,998 people, around 3.53% of WUS. With positive examination results, there were 977 people (19.5%), while the incidence of cervical cancer in 2019 was 58 people, amounting to 5.9% of positive examinations. Meanwhile, data from the Sukoharjo Health Center from 14,294 WUS who participated in early detection were 458 people and were declared positive IVA tests 118 people (12%) of positive cases in Sukoharjo and 3 people diagnosed with cervical cancer. Purpose The aim of the study was to determine the relationship between level of awareness and decision making for women of reproduction age to early cervical cancer screening. Method The type of research is descriptive correlation with cross sectional data collection using a questionnaire, the sample consists of 41 respondents of women of childbearing age, taken by purposive sampling. Data collection tools and methods used were questionnaires and processed by Pearson correlation test using SPSS 17. Results The results showed that the level of awareness of WUS with low awareness category was 29.3%, moderate awareness category was 63.4%, and high awareness category 7.3%. The decision making WUS conduct early examination of cervical cancer in the negative category 31.7% and the positive category 68.3%. The results of the analysis showed that there was a relationship between the level of awareness and the decision making of WUS to perform early cervical cancer examination (r: 0.293 p=0.000). Conclusion There is a relationship between the level of awareness and decision making WUS perform early cervical cancer examination.

Evaluation of the Application Effect of Nursing Education in the Early Screening of Cervical Cancer

Evaluation of the Application Effect of Nursing Education in the Early Screening of Cervical Cancer

FT-IR combined with PSO-CNN algorithm for rapid screening of cervical tumors

Cervical cancer is the most common gynecological malignancy.. Early and accurate identification of the stage of cervical cancer patients can greatly improve the cure rate. In this study, serum sample data were collected from patients with cervical cancer, CIN (cervical intraepithelial neoplasia) I, CIN II, CIN III and hysteromyoma using FT-IR (Fourier-transform infrared spectroscopy) technology. PSO-CNN model for early screening of cervical cancer was designed using a particle swarm algorithm to automatically build a CNN structure with variable number of layers and variable layer class parameters. The experimental results showed that PSO-CNN was the best compared with the classical Lenet, AlexNet, VGG16 and GoogLeNet deep learning models, and the accuracy of PSO-CNN in discriminating five types of samples can reach 87.2%. This study showed that FT-IR technology combined with PSO-CNN model had great potential for non-invasive, rapid and accurate identification of patients with cervical cancer, and can provide a reference for intelligent diagnosis of other diseases.