Search Results (143)

(1) Background: After receiving an abnormal Papanicolaou smear result, very often women fail to adhere to further procedures due to depression. Using a neural network approach, this research aimed to predict pre- and post-diagnostic depressive symptoms in women with abnormal Pap screening tests. (2) Methods: The study was conducted at the Clinical Center of Kragujevac, Serbia, among 172 women with a positive Pap screening result before and after diagnostic procedures (colposcopy/biopsy/endocervical curettage). Just before and 2 to 4 weeks after the diagnostic procedures, women filled out a socio-demographic questionnaire and the Hospital Anxiety and Depression Scale (HADS). Multilayer perceptron neural networks were modeled. (3) Results: Depression was present in 37.2% of women before diagnostic procedures and in 48.3% after. Feature selection showed four variables that correlated with depression before diagnostic procedures—anxiety (according to the HADS), depression according to the CESD scale, worry score on the POSM scale and use of sedatives. Model for predicting pre-diagnostic depression yielded an accuracy of 79.41%, with a value of 0.842 for area under the receiver operating characteristic curve (AUROC). The HADS anxiety score, place of residence and CESD score were the most important attributes for predicting post-diagnostic depression, with an ANN model accuracy of 88.24% and AUROC 0.939. (4) Conclusions: This research revealed a possible way of predicting depression occurrence in those women who received a positive Pap screening test and who are undergoing follow-up diagnostics, aiding medical doctors in the provision of successful and on-time psychological assistance. Full article

Cervical cancer (CC) remains a critical global health issue which disproportionately affects low- and middle-income countries. In Chile, the Arica and Parinacota region experiences high CC mortality and low Papanicolaou (Pap) test coverage, with indigenous Aymara women facing significant screening barriers. Understanding health beliefs surrounding CC prevention is essential for improving adherence, particularly in under-represented populations. This study assesses the psychometric properties of the CPC-28, an instrument measuring beliefs about CC and Pap testing, among Aymara women in Chile. A cross-sectional survey of 299 Aymara women (25–64) was conducted using stratified probabilistic sampling. Confirmatory factor analysis (CFA) confirmed the CPC-28’s six-factor latent structure, demonstrating strong model fit (CFI = 0.969, TLI = 0.965, RMSEA = 0.058). Reliability indices ranged from acceptable to excellent (α = 0.585–0.921; ω = 0.660–0.923). Moderate correlations emerged between severity, susceptibility, and perceived benefits of Pap testing, although CPC-28 results did not predict adherence. These findings support CPC-28’s validity evidence for Aymara women but highlight cultural influences on screening behaviors. Structural barriers, including language and healthcare inaccessibility, are likely to affect perceived susceptibility. Future research should explore indigenous perspectives and socio-cultural determinants of Pap testing, incorporating mixed-method approaches to identify culturally relevant interventions and improve screening adherence. Full article

Background/Objectives: Cervical cancer, the fourth most common malignancy in women worldwide, continues to pose a significant threat to global health. Manual examination of the Pap smear image is time-consuming, labor-intensive, and prone to human error due to the large number of slides and subjective judgment. This study proposes a novel SegNet-based spatial pyramid pooling (SPP-SegNet) deep learning model for segmentation and a Squeeze-and-Excitation-based (SE-DenseNet201) model for classification, aimed at improving the accuracy of cervical cancer detection. Methods: The model incorporates the SPP bottleneck and atrous convolution in the SegNet framework, allowing for the extraction of multiscale spatial features and improving segmentation performance. The segmentation output is used as input for the classification task. The proposed method is evaluated on the Pomeranian and SIPaKMeD datasets. Results: Segmentation results show that SPP-SegNet achieves 98.53% accuracy on the Pomeranian data set, exceeding standard SegNet, 97.86%. It also achieves 94.15% accuracy on the SIPaKMeD dataset, outperforming the standard SegNet, which is 90.95%. For classification, SE-DenseNet201 achieves 93% and 99% accuracy for the Pomeranian and SIPaKMeD binary classification, respectively, using the bounding box input. Conclusions: These results show that SPP-SegNet and SE-DenseNet201 can potentially automate cervical cell segmentation and classification, facilitating the early detection and diagnosis of cervical cancer. Full article

Precision prevention strategies for cervical cancer that integrate genetic biomarkers provide opportunities for personalized risk assessment and optimized preventive measures. An HPV infection–Precancerous–Cancer risk assessment model incorporating genetic polymorphisms and DNA methylation was developed to better understand the regression and progression of cervical lesions by HPV infection status. Utilizing a virtual cohort of 300,000 Taiwanese women aged 30 years and older, our model simulated the natural history of cervical cancer, capturing transitions from a healthy state through precancerous lesions (LSILs and HSILs) to invasive carcinoma and incorporating the possibility of regression between states. Genetic and epigenetic markers significantly influenced disease transitions, demonstrating heterogeneous risks among women with distinct molecular biomarker profiles. Guided by these individual risk profiles, tailored preventive strategies including varying intervals for Pap smear screening, HPV DNA testing, and HPV vaccination showed improved efficiency and effectiveness in reducing cervical cancer incidence compared to uniform approaches. The proposed dynamic transition model of cervical neoplasms incorporating genetic biomarkers can facilitate the development of an individualized risk-based approach for guiding precision prevention towards the goal of cervical cancer elimination. Full article

Background/Objectives: Since 2020, Germany has replaced its annual cytological screening for cervical cancer in women aged 35 and older with a combination screening program. This updated protocol, conducted every three years, includes both a cervical Pap smear and an HPV (human papillomavirus) test. In addition, the 2020 update of the German Cervical Cancer Screening Program mandates a more timely follow-up for certain abnormal findings compared to the previous approach. Methods: Results of cytologic, colposcopic, and histologic examinations between 2018 and 2021 were retrospectively retrieved from the electronic patient records of the Institute of Pathology Saarbrücken Rastpfuhl in order to present relevant findings within the years 2018–2019 and 2020–2021. The present study included all women who received appropriate follow-up based on the corresponding underlying screening modality. Results: Our reporting considered data from 30,715 women in 2018/19 (prior screening modality group) and 25,924 women in 2020/21 (updated screening modality group). In 2018/19, a total of 93 histological examinations were performed, compared to 237 in 2020/21. In 2018/19, 52 cases of CIN III and 12 cases of CIN II were identified, while in 2020/21, 78 cases of CIN III and 31 cases of CIN II were detected. In contrast, while women with negative cytological findings in 2018/19 were typically not referred for further colposcopic or histological evaluation, the updated program enabled earlier detection and treatment of cases with diagnosed high-grade dysplasia based solely on a positive HPV test. Notably, 31 women who were diagnosed at an earlier stage based solely on a positive HPV test initially presented with a cytological Pap I result (negative for intraepithelial lesion or malignancy; NILM). Conclusions: Additional HPV co-testing within the updated German cervical cancer screening program resulted not only in high rates of high-grade dysplasia detection but also a rise in the number of colposcopic procedures. While negative follow-up HPV findings regularly showed remission of the original finding, incidence of high-grade dysplasia was usually linked to a positive HPV test. Full article

Background: Cervical dysplasia is a pre-malignant condition of the uterine cervix and is highly prevalent in Sub-Saharan Africa; especially affecting HIV-infected Black women. The anti-dysplastic effect of vitamin D hormones in cervical dysplasia is poorly understood. Therefore, we conducted a cross-sectional case–control observational study to assess the relationship between serum 25-hydroxycholecalciferol (25(OH)D) and cervical dysplasia, amongst Black women with and without HIV infection. Methods: The study participants attended a gynaecologic oncology clinic at an academic hospital in Pretoria, South Africa (n = 109). Patient clinical data were obtained during consultation. Cervical dysplasia was identified by cytology (PAP smear) which classified the case group as high-grade squamous epithelial lesions (HSILs), and the control group as <HSIL. Serum biochemistry measured 25(OH)D and its covariate biochemical variables. The data were statistically modelled to adjust for clinical and biochemical covariates, identify a significant relationship (p ≤ 0.05) between 25(OH)D and cervical dysplasia, and analyse subgroup interaction between HIV status and cervical dysplasia. Results: The data showed high levels of vitamin D insufficiency and deficiency in Black women with and without HIV infection. After covariate adjustment, 25(OH)D demonstrated an inverse relationship with HSIL in HIV-uninfected Black women. Furthermore, an interaction effect between women with and without HIV infection was observed. Conclusions: The role of 25(OH)D in the primary prevention of cervical dysplasia in Black women without HIV infection is promising, and dosing strategies require investigation. Also, future studies exploring the immunomodulatory role of 25(OH)D in cervical dysplasia in HIV-infected women is warranted. Full article

Background: About 14,000 women develop cervical cancer each year in the United States. Human Papillomavirus (HPV) vaccination is an effective primary prevention measure for HPV infections and cervical cancer among adolescents and young adults. For middle-aged and older women, they rely on secondary prevention (i.e., cancer screening) for early detection of cervical cancer. The average age at which women receive a cervical cancer diagnosis is around 50, when most women are in the middle of perimenopause. In this study, we use data from a longitudinal survey to examine whether going through menopause is associated with cervical cancer screening behavior four or eight years later. Methods: Data were taken from 2012, 2016, and 2020 waves of the Health and Retirement Study (HRS), a longitudinal survey of middle-aged and older adults in America. Using the 2012 and 2016 waves as baselines, two four-year (n = 1011 and n = 1263) and one eight-year (n = 823) longitudinal analyses were conducted. The lost follow-ups and those who have had a hysterectomy were excluded. Hierarchical logistic regression models were used to compare women who had gone through menopause to those who were premenopausal or perimenopausal at each of the baselines in terms of their likelihood of having a pap smear test four or eight years later. Results: Results show that the women who had gone through menopause were less likely to have a pap smear test four or eight years later when compared to those who were still premenopausal or perimenopausal at baseline. Women who had gone through menopause at the baseline of 2016 were less likely to have a pap smear test by 2020 (Odds Ratio = 0.76, p < 0.05). A similar association was found among women who had gone through menopause at the baseline of 2012 after controlling for their previous pap smear behavior and other covariates. Conclusions: The American Cancer Society and other professional organizations recommend that women have cervical cancer screenings regularly until age 65. Our findings suggest that women seem less likely to have a pap smear test after menopause. More research is needed to have a comprehensive understanding of cervical screening behavior in this age group of women. Full article

Advancements in image processing have advanced medical diagnostics, especially in image classification, impacting healthcare by offering faster and more accurate analyses of magnetic resonance imaging (MRI) and X-rays. The manual examination of these images is slow, error-prone, and costly. Therefore, we propose a new method focusing on the Pap smear exam for early cervical cancer detection. Using a convolutional neural network (CNN) and the SIPaKMeD dataset, cervical cells are classified into normal, precancerous, and benign cells after segmentation. The CNN’s architecture is simple yet efficient, achieving a 91.29% accuracy. Full article

Background and Aim: This study evaluated Turkish women’s health beliefs and motivations for participating in cervical cancer screening using the Health Belief Model Scale for Cervical Cancer and Pap Smear Test (HBMS-CCPST). Although the HPV vaccine has proven effective, Turkey has not integrated it into the national health program, but it provides free HPV-DNA screenings for women at family health centers (FHCs). This study evaluated Turkish women’s health beliefs and motivations for participating in cervical cancer screening using the Health Belief Model Scale for Cervical Cancer and Pap Smear Test (HBMS-CCPST) with the aim of understanding and enhancing screening uptake. Methods: This cross-sectional study was conducted at the family health centers in the Kartal and Pendik districts of Istanbul and involved women aged 30–65 years. The participants were randomly selected from the FHCs’ 2023 lists. Data were collected through face-to-face interviews, using a structured questionnaire based on the HBMS-CCPST. Results: A randomly selected sample of 422 women from 8003 registered FHCs was approached to participate; 354 agreed, 25 declined, and 43 were excluded because they did not meet the inclusion criteria. The mean age was 44.58 years (range: 30–64), and 51% had previously undergone a smear test. Correlations were found between age and the total HBMS-CCPST score (r = −0.207, p = 0.001), perceived benefits (r = −0.106, p = 0.046), health motivation (r = −0.195, p = 0.001), and perceived barriers (r = 0.132, p = 0.013). Social security status influenced the HBMS-CCPST scores (p = 0.019), health motivation (p = 0.011), and perceived barriers (p = 0.002). Employment status affected the total score (p = 0.001), health motivation (p = 0.001), and perceived barriers (p = 0.001), with employed women showing higher health motivation and lower perceived barriers. Alcohol use and physical activity levels affected the total score (p = 0.001 and p = 0.007, respectively) and health motivation (p = 0.011 and p = 0.001, respectively). STD risk perception affected the HBMS-CCPST scores (p = 0.001, p = 0.001) and perceived barriers (p = 0.001 and p = 0.001, respectively). Conclusions: Sociodemographic factors and daily habits significantly influenced the participants’ health beliefs and motivations for cervical cancer screening. Full article

Background: The United States (US) continues to face a substantial burden of cervical cancer, which has been the focus of many policies and public health prevention agendas. Of the numerous risk factors associated with cervical cancer, human papillomavirus (HPV) infection remains the leading and most preventable cause of this chronic disease. Therefore, one major public health prevention strategy to decrease cervical cancer cases is HPV vaccination. Another screening tool that enables cervical cancer prevention and early intervention is the Pap smear, the primary method of screening for abnormal cervical cells. However, barriers such as social determinants of health and ineffective patient–provider communication hinder access to such critical preventive measures. The purpose of this study was to provide a comprehensive overview of the knowledge level of US female adults, aged 21–65 years, concerning HPV infection and cervical cancer prevention using the Health Information National Trends Survey (HINTS) database. Additionally, it assessed associations between patient–provider communication and the completion of Pap smear tests. Methods: Descriptive statistics were computed to explore the sociodemographic characteristics of female survey participants as well as to gather frequency and percentages of responses related to knowledge of HPV, awareness of the HPV vaccine, and history of Pap smear. Chi-squared tests were carried out to examine the associations between awareness of a cervical cancer vaccine or HPV shot and whether the participant has had a Pap smear, heard of the HPV vaccine, and knowledge of HPV’s association with cervical cancer. Next, binary logistic regression models were built to determine the size and direction of the association between patient–provider communication metrics and measures of (1) having had a Pap smear, (2) participant knowledge of HPV, (3) participant awareness of causality between HPV and cervical cancer, and (4) participant knowledge of HPV vaccine and cervical cancer prevention measures. Results: A substantial majority of participants (81.8%) reported having heard of HPV. Among them, 72.1% recognized that HPV could cause cervical cancer. Awareness of the HPV vaccine was reported by 88.1%, suggesting a relatively high reach of effective public health messaging. Regarding Pap tests, 43.3% of participants had undergone testing within the past year, but 12.6% had not been tested in over five years, and 3.6% have never been tested. Bivariate analysis using chi-squared tests revealed significant associations between participants’ history of Pap smears and their knowledge of HPV infection, its role in cervical cancer, and HPV vaccination as a prevention tool. Participants who had undergone a Pap test were more likely to have heard of HPV (p < 0.001), were knowledgeable of the HPV vaccine (p < 0.001), and were more aware of the HPV vaccine (p < 0.001). Participants reporting “never” for certain communication criteria significantly had an increased risk of having lower knowledge levels about the HPV vaccine and other cervical cancer prevention measures. They also had almost twice the risk of having lower knowledge levels about HPV prevention measures when reporting “never” (RR = 1.997, 95% CI (1.018–3.916) for “spending enough time with patients” compared to those selecting “always”. Additionally, participants responding “sometimes” (RR = 1.889, 95% CI (1.187–3.005) rather than “always” to feeling involved in healthcare decisions had a significantly higher risk of being unaware of the vaccine or other cervical cancer prevention measures. Conclusions: Strengthening provider communication and education skills not only encourages greater patient knowledge and adherence to preventative measures, such as HPV and cervical cancer screening, but also reduces disparities in healthcare stemming from limited health literacy. Full article

Background and clinical significance: Large-cell neuroendocrine carcinoma (LCNEC) of the cervix is considered a rare type of cancer: it represents <1% of invasive cervical cancers. The optimal treatment protocol is not fully established because of its rarity and diagnostic challenges. Case Presentation: A 72-year-old Asian female presented to our outpatient clinic with postmenopausal vaginal spotting for 1 month. Vaginal sonography revealed a cervical tumor of 2.7 cm in diameter with hypervascularity. Tumor markers such as CA 125, CA 19-9, carcinoembryonic antigen, and squamous cell carcinoma antigen all showed no abnormality. Due to high suspicion of cervical cancer, a pap smear and endocervical curettage were performed and confirmed the diagnosis of LCNEC. A positron emission tomography–computed tomography scan demonstrated a glucose hypermetabolic lesion in the mid-pelvic region, localized to the uterus, consistent with LCNEC. Surgery with radical hysterectomy, bilateral salpingo-oophorectomy, and bilateral pelvic lymph node dissection was performed. The patient was finally diagnosed with pT1b2N1mi, FIGO IIIC1. Immunohistochemical stain shows that the neoplastic cells were CK (+), p63 (−), p16 (−), CEA (−), vimentin (−), ER (−), WT-1 (−), p53 (−), and CD56 (+), with a high Ki67 index (75%). Concurrent chemotherapy with cisplatin and radiotherapy was performed. Four cycles of etoposide and cisplatin were planned. A 3-month follow-up of this patient revealed stable tumor marker levels. Conclusions: This case highlights the diagnostic challenges and aggressive nature of LCNEC of the cervix, emphasizing the need for a standardized treatment approach to improve patient outcomes. Full article

Background/Objectives: Low-grade squamous intraepithelial lesions (LSILs) of the cervix are known to have the ability to regress spontaneously. However, in cases where the patient is human immunodeficiency virus (HIV)-positive and has a weakened immune system, the ability to eliminate abnormal cells from the cervix may be impaired. The aim of this study was to determine whether there is an association between the spontaneous regression of histological LSIL and the HIV status of the patient by evaluating baseline characteristics and CD4 count. Methods: Women with a diagnosis of cervical histological LSIL were included. We analyzed the correlation between a group of women with LSIL who experienced complete spontaneous regression and those who did not regress based on factors such as HIV status, basic characteristics, and baseline Pap smear. As part of the surveillance program, all the women underwent a Papanicolaou (Pap) smear test every 6 months. Results: A total of 127 women were evaluated. The results showed that a higher percentage of women with HIV belonged to the non-regression group compared to the complete regression group ((51.35% vs. 26.67%) p = 0.007). After controlling for other factors, the multivariable analysis revealed that HIV-negative women were more likely to experience spontaneous regression of cervical LSIL than women with HIV [HR = 2.54, 95% confidence interval 1.31–4.49, p = 0.006)]. Conclusions: Cervical histological LSIL had a lower capacity for spontaneous regression in women with HIV. For women who wish to lower their risk of persistent or worsening disease associated with their HIV status, it may be beneficial to undergo active surveillance coupled with additional active treatment or surgery. A CD4 count of over 500 cells per μL is associated with the spontaneous regression of LSIL in women with HIV. Full article

Understanding the interactions between the cervico-vaginal microbiome, immune responses, and sexually transmitted infections (STIs) is crucial for developing targeted diagnostic and therapeutic strategies. Although microbiome analyses are not yet standard practice, integrating them into routine diagnostics could enhance personalized medicine and therapies. We investigated the extent to which partial 16S short-read amplicon microbiome analyses could inform on the presence of six commonly encountered STI-causing pathogens in a patient cohort referred for colposcopy, and whether relevant taxonomic or diagnostic discrepancies occur when using vaginal rather than cervical swabs. The study cohort included cervical and vaginal samples collected from women referred for colposcopy at the University Hospital Bonn between November 2021 and February 2022, due to an abnormal PAP smear or positive hrHPV results. 16S rRNA gene sequencing libraries were prepared targeting the V1–V2 and V4 regions of the 16S RNA gene and sequenced on the Illumina MiSeq. PCR diagnostics for common STI-causing pathogens were conducted using the Allplex STI Essential Assay Kit (Seegene, Seoul, Republic of Korea). Concerning the bacterial microbiome, no significant differences were found between vaginal and cervical samples in terms of prevalence of taxa present or diversity. A total of 95 patients and 171 samples tested positive for at least one among Ureaplasma parvum, Ureaplasma urealyticum, Mycoplasma hominis, Mycoplasma genitalium, Chlamydophila trachomatis or Neisseria gonorrhoeae. Sequencing the V1–V2 region enabled detection of one-third to half of the PCR-positive samples, with the detection likelihood increasing at lower cycle threshold (Ct) values. In contrast, sequencing the V4 region was less effective overall, yielding fewer species-level identifications and a higher proportion of undetermined taxa. We demonstrate that the vaginal microbiome closely mirrors the cervical microbiome, a relationship that has not been explored previously, but which broadens the possibilities for microbiome analysis and pathogen detection and establishes vaginal swabs as a reliable method for detecting the investigated pathogens, with sensitivities comparable with or superior to endocervical swabs. On the other hand, the sensitivity of partial 16S amplicon sequencing appears insufficient for effective STI diagnostics, as it fails to reliably identify or even detect pathogens at higher Ct values. Full article

Background/Objectives: The 2020 American Cancer Society guidelines endorse human papillomavirus (HPV) testing as the preferred method for cervical cancer screening. This study aims to evaluate the concordance of HPV and cytology findings for cervical intraepithelial neoplasia (CIN) at a population level. Methods: A retrospective cohort review of cervical cytology, HPV testing, and biopsies for all patients at a single Oregon-based medical center was performed over 21 months. The performance of HPV and cytology in detecting high-grade CIN lesions was compared. Results: A total of 22,488 tests were evaluated, showing 7.5% abnormal cytology and 7.4% positive HPV. Among 574 patients who underwent co-testing and a subsequent biopsy, 345 had abnormal cytology, with 212 having abnormal biopsy results. HPV was positive in 455 cases, with 266 having abnormal biopsy results. Among 455 HPV-positive cases, there were 283, 104 and 33 cases of non-16/18, 16, and 18 types, respectively. Additionally, 35 cases had co-infection with multiple HPV types. Among the cases diagnosed as CIN3 on biopsy, 90.6% had positive HPV testing (N = 96), and 82.9% had abnormal cytology (N = 94). HPV testing demonstrated a slightly higher sensitivity (88.8% vs. 78.3%, p = 0.128) and lower specificity (27.1% vs. 48.9%, p < 0.01) compared to cytology for CIN2 and CIN3 diagnosis. Conclusions: HPV testing showed a similar sensitivity but lower specificity compared to cytology for detecting high-grade lesions. Full article

Background: Reinforcement learning (RL) represents a significant advancement in artificial intelligence (AI), particularly for complex sequential decision-making challenges. Its capability to iteratively refine decisions makes it ideal for applications in medicine, such as the detection of cervical cancer; a major cause of mortality among women globally. The Pap smear test, a crucial diagnostic tool for cervical cancer, benefits from enhancements in AI, facilitating the development of automated diagnostic systems that improve screening effectiveness. This research introduces RL-Cervix.Net, a hybrid model integrating RL with convolutional neural network (CNN) technologies, aimed at elevating the precision and efficiency of cervical cancer screenings. Methods: RL-Cervix.Net combines the robust ResNet-50 architecture with a reinforcement learning module tailored for the unique challenges of cytological image analysis. The model was trained and validated using three extensive public datasets to ensure its effectiveness under realistic conditions. A novel application of RL for dynamic feature refinement and adjustment based on reward functions was employed to optimize the detection capabilities of the model. Results: The innovative integration of RL into the CNN framework allowed RL-Cervix.Net to achieve an unprecedented classification accuracy of 99.98% in identifying atypical cells indicative of cervical lesions. The model demonstrated superior accuracy and interpretability compared to existing methods, addressing variability and complexities inherent in cytological images. Conclusions: The RL-Cervix.Net model marks a significant breakthrough in the application of AI for medical diagnostics, particularly in the early detection of cervical cancer. By significantly improving diagnostic accuracy and efficiency, RL-Cervix.Net has the potential to enhance patient outcomes through earlier and more precise identification of the disease, ultimately contributing to reduced mortality rates and improved healthcare delivery. Full article