Cervical Precancerous Lesions Research Articles

Cervical cancer screening efficacy using SurePath, ThinPrep and conventional cytology: A large data set analysis from the Japan Cancer Society.

Over the past decade, liquid-based cytology has replaced conventional cytology for cervical cancer screening in many countries, including Japan. We aimed to evaluate the efficacy of liquid-based cytology using a large database and compare two major liquid-based cytology platforms, SurePath and ThinPrep, to conventional cytology. Cervical cancer screening data were collected from the Japan Cancer Society between 2015 and 2019. The efficacy of liquid-based and conventional cytology in detecting cervical intraepithelial neoplasia (CIN) was evaluated. Detection rates and positive predictive values were compared using a Poisson regression model. We collected data of 3,918,149 participants, including 2,248,202 conventional cytology, 874,807 SurePath and 795,140 ThinPrep smears. The detection rate of CIN2 or more was 1.14 times higher using SurePath than that using conventional cytology (95% confidence interval [CI], 1.09-1.20; p < 0.001). Contrastingly, the detection rate of CIN2 or more was 0.91 times lower using ThinPrep (95% CI, 0.86-0.96; p < 0.001). The detection rates of CIN3 or more did not differ significantly between SurePath and conventional cytology (detection rate ratio, 1.04; 95% CI, 0.97-1.12; p = 0.224). The positive predictive value ratios of CIN2 or more were 0.80 using SurePath (95% CI, 0.76-0.84; p < 0.001) and 0.83 using ThinPrep (95% CI, 0.79-0.87; p < 0.001) compared with conventional cytology. Liquid-based cytology, particularly SurePath, was useful for detecting CIN2 or higher in population-based cervical cancer screening. Further widespread use of liquid-based cytology methods would lead to efficient detection of cervical precancerous lesions.

A health decision analytical model to evaluate the cost-effectiveness of female genital schistosomiasis screening strategies: The female genital schistosomiasis SCREEN framework.

Female genital schistosomiasis is a chronic gynaecological disease caused by the waterborne parasite Schistosoma (S.) haematobium. It affects an estimated 30-56 million girls and women globally, mostly in sub-Saharan Africa where it is endemic, and negatively impacts their sexual and reproductive life. Recent studies found evidence of an association between female genital schistosomiasis and increased prevalence of HIV and cervical precancer lesions. Despite the large population at risk, the burden and impact of female genital schistosomiasis are scarcely documented, resulting in neglect and insufficient resource allocation. There is currently no standardised method for individual or population-based female genital schistosomiasis screening and diagnosis which hinders accurate assessment of disease burden in endemic countries. To optimise financial allocations for female genital schistosomiasis screening, it is necessary to explore the cost-effectiveness of different strategies by combining cost and impact estimates. Yet, no economic evaluation has explored the value for money of alternative screening methods. This paper describes a novel application of health decision analytical modelling to evaluate the cost-effectiveness of different female genital schistosomiasis screening strategies across endemic settings. The model combines a decision tree for female genital schistosomiasis screening strategies, and a Markov model for the natural history of cervical cancer to estimate the cost per disability-adjusted life-years averted for different screening strategies, stratified by HIV status. It is a starting point for discussion and for supporting priority setting in a data-sparse environment.

Clients’ satisfaction with cervical cancer screening services and influencing factors at public health facilities in Debre Markos town, Northwest Ethiopia, 2022/23: a convergent parallel mixed method

BackgroundSatisfaction is defined as the perceived fulfillment of patient or client needs and desires through the delivery of healthcare services. In developed countries, more than 60% of women have been screened for cervical cancer. However, only 12% of women in sub-Saharan Africa have been screened for precancerous cervical lesions. There is limited evidence on client satisfaction with cervical cancer screening services (CSCCSS) in Ethiopia, particularly, there is no study conducted by mixed method in the Amhara region.ObjectiveThe study aimed to assess clients’ satisfaction with cervical cancer screening services and influencing factors among women screened in Debre Markos town public health facilities in Northwest Ethiopia, 2022/23.MethodsA convergent parallel mixed methods design was conducted in Debre Markos town’s public health facilities from October 10th, 2022 to January 10th, 2023. For the quantitative wing, a total of 401 cervical cancer screening service users were selected using a systematic random sampling technique. Data were collected using an interviewer-administered structured questionnaire. Clients were interviewed on exit in a private area far from the screening unit and the data were entered into Epi-data version 4.6.0.2, then exported to STATA version 14 for analysis. A binary logistic regression model was fitted to identify factors associated with client satisfaction with cervical cancer screening services. The qualitative data were collected through in-depth and key informant interviews using a semi-structured topic guide. The data were analyzed using a thematic analysis approach with Open code software (version 4.0.2.3).ResultThe quantitative wing revealed that overall, 65% (95% CI: 60–69) of respondents were satisfied with the cervical cancer screening services they received. Gender of the provider (AOR: 6.11, 95% CI: 3.23–11.55, p-value = 0.000), waiting time (AOR: 4.77, 95% CI: 1.32–17.31, p-value = 0.017), clients’ knowledge (AOR: 0.26, 95% CI: 0.12–0.59, p-value = 0.001), and clients’ attitude (AOR: 6.43, 95% CI: 3.43–12.03, p-value = 0.000) were significantly associated with CSCCSS.Qualitative resultThe thematic analysis revealed three themes. Theme 1: facility-related barriers (shortage of skilled manpower, shortage of infrastructure, providers’ skill gap, unavailability of full service, leadership problem, long waiting time). Theme 2: client-related barriers (poor knowledge and attitude, gender preference). Theme 3: facility-related facilitators (free service, presence of supportive partners).ConclusionAccording to the findings of this study, two-thirds of clients were satisfied with cervical cancer screening services, which was lower than the national target of 80%. Long waiting time, male gender of the service provider, unfavorable attitude, and good knowledge of clients were identified as significant factors negatively affecting client satisfaction with cervical cancer screening.

Novel Serum Protein Biomarkers for Precancerous Cervical Lesions and Cervical Cancer

Novel Serum Protein Biomarkers for Precancerous Cervical Lesions and Cervical Cancer

Expanding management strategies for cervical precancerous lesions in resource-limited settings: insights from a training center in a district hospital in Ghana

BackgroundCervical cancer continues to disproportionately burden women in low/middle-income countries like Ghana. We examined treatment patterns and histopathological outcomes among women screened using visual inspection with acetic acid (VIA) and/or mobile colposcopy who subsequently underwent thermal ablation, large loop excision of the transformation zone (LLETZ), or cold knife conization at the Cervical Cancer Prevention and Training Centre, Battor. We also assessed the prevalence of cervical intraepithelial neoplasia 2+ (CIN2+) or micro-invasive disease and their associated factors for women who underwent excisional treatments. The treatment choices for cervical precancerous lesions suitable for resource-limited settings have also been described from the perspective of a center that manages a heterogenous population.MethodsWe conducted an analysis of secondary data collected between June 2016 and June 2023 among women with positive findings on VIA or mobile colposcopy who subsequently underwent thermal ablation or large loop excision of the transformation zone (LLETZ). The prevalence of histopathology outcomes, including no dysplasia, CIN1 − 3, and micro-invasive disease, were estimated with 95% confidence intervals (CIs). Factors associated with histopathological findings were modeled using multinomial logistic regression.ResultsFor the study period, 14 (10.6%) of the total 132 participants underwent cervical lesion treatment at outreach locations, all via thermal ablation. The remaining 118 (89.4%) were treated at the Catholic Hospital, Battor using LLETZ (n = 66, 55.9%), thermal ablation (n = 51, 43.2%), and cold knife conization (n = 1, 0.9%). Among 65 women with histopathology reports, the most frequent histopathological finding was no dysplasia (47.7%; 95% CI, 35.1 − 60.5), followed by CIN2 and CIN3 (20.0%; 95% CI, 11.1 − 31.8 each), CIN1 (7.7%; 95% CI, 2.5 − 17.0) and micro-invasion (4.6%; 95% CI, 1.0 − 12.9). Those with micro-invasive disease were significantly older than those with CIN1, CIN2, and CIN3 (p = 0.036, 0.022, 0.009, respectively), but not significantly older than those who showed no dysplasia (p = 0.088). For each unit increase in age, the likelihood of CIN3 was relatively significantly reduced compared to no dysplasia (crude relative risk ratio [RRR] = 0.93; 95% CI, 0.86 − 0.99). This association was neither observed with the remaining histopathological groups nor for parity and persisted after controlling for parity (adjusted RRR = 0.92; 95% CI, 0.85 − 0.99; p = 0.025).ConclusionThis paper largely demonstrates treatment options available to women and practitioners in LMICs. The high combined prevalence of high-grade precancerous lesions and micro-invasive disease underscores the need to increase cervical cancer awareness that would enhance screening attendance and hasten efforts at moving from opportunistic to organized screening in Ghana. This will enhance early cervical lesion detection and treatment, while simultaneously re-evaluating and cutting down on unnecessary treatment.

Predictive models for personalized precision medical intervention in spontaneous regression stages of cervical precancerous lesions

BackgroundDuring the prolonged period from Human Papillomavirus (HPV) infection to cervical cancer development, Low-Grade Squamous Intraepithelial Lesion (LSIL) stage provides a critical opportunity for cervical cancer prevention, giving the high potential for reversal in this stage. However, there is few research and a lack of clear guidelines on appropriate intervention strategies at this stage, underscoring the need for real-time prognostic predictions and personalized treatments to promote lesion reversal.MethodsWe have established a prospective cohort. Since 2018, we have been collecting clinical data and pathological images of HPV-infected patients, followed by tracking the progression of their cervical lesions. In constructing our predictive models, we applied logistic regression and six machine learning models, evaluating each model’s predictive performance using metrics such as the Area Under the Curve (AUC). We also employed the SHAP method for interpretative analysis of the prediction results. Additionally, the model identifies key factors influencing the progression of the lesions.ResultsModel comparisons highlighted the superior performance of Random Forests (RF) and Support Vector Machines (SVM), both in clinical parameter and pathological image-based predictions. Notably, the RF model, which integrates pathological images and clinical multi-parameters, achieved the highest AUC of 0.866. Another significant finding was the substantial impact of sleep quality on the spontaneous clearance of HPV and regression of LSIL.ConclusionsIn contrast to current cervical cancer prediction models, our model’s prognostic capabilities extend to the spontaneous regression stage of cervical cancer. This model aids clinicians in real-time monitoring of lesions and in developing personalized treatment or follow-up plans by assessing individual risk factors, thus fostering lesion spontaneous reversal and aiding in cervical cancer prevention and reduction.Graphical

Magnitude of precancerous cervical lesions induced by human papillomavirus subtypes 16 and 18 and associated factors among affected women

Magnitude of precancerous cervical lesions induced by human papillomavirus subtypes 16 and 18 and associated factors among affected women

Penile intraepithelial neoplasia incidence, clinical classification, microenvironment and implications for imiquimod treatment.

To provide an outline of the existing data on penile intraepithelial neoplasia (PeIN), as well as a narrative review on imiquimod (IQ; a toll-like receptor 7 agonist) treatment and immune microenvironment markers that may predict response to treatment. A narrative review of the literature from 2000 to the present was conducted on PubMed, and we describe the most relevant data and cross references. The incidence of PeIN is increasing. Local therapy with IQ may offer an easy applicable treatment with complete response rates of up to 63% but can be associated with considerable side-effects. There is no conclusive data on the optimal treatment schedule for PeIN, but evaluation of treatment results for other human papillomavirus-related pre-malignancies suggest three times a week for a duration up to 16 weeks. There are no published studies concerning the PeIN immune microenvironment. However, findings from the few studies on penile cancer and pre-cancerous vulvar and cervical lesions imply that specific immune cell subpopulations can serve as future predictors for successful immunomodulation treatments such as IQ. Overall, limited data are available on IQ treatment for PeIN and no published data exists on the PeIN immune microenvironment. Further translational studies are warranted to gain more understanding on the pathophysiology of PeIN and potential predictors of progression and of response to topical treatments.

The role of cervicovaginal microbiota in the occurrence of severe cervical intraepithelial dysplasia

BACKGROUND: Despite the availability of visual examination of the cervix, cervical screening in Russia has not been widespread enough, and therefore the incidence of cervical cancer remains consistently high. In recent years, the vaginal microbiota is given special attention as a risk factor for the development of precancerous diseases of the cervix. AIM: The aim of this study was to compare the cervicovaginal microbiota in patients with high-grade squamous intraepithelial lesions (HSIL) or negative for intraepithelial lesions or malignancy (NILM). MATERIALS AND METHODS: Microorganisms isolated from the cervicovaginal microbiota were identified in 40 patients using the mass spectrometry method. 20 women had severe cervical dysplasia, and the other 20 were healthy women without precancerous cervical lesions. RESULTS: Corynebacterium spp. and Streptococcus spp. were found more often in the cervicovaginal microbiome in patients with high-grade squamous intraepithelial lesions than in women negative for intraepithelial lesions or malignancy. CONCLUSIONS: The data obtained suggest that the presence of Corynebacterium spp. and Streptococcus spp. in the cervicovaginal microbiota is associated with the presence of severe cervical intraepithelial changes.

Evaluation of Cervix by Colposcopic Directed Histopathology: A Single Center Study

Background: The most common malignancy among women worldwide is cervical cancer. With the right screening, it is a disease that can be prevented and cured. Colposcopy is a useful method for identifying and treating precancerous cervical lesions after primary screening. The most reliable method for identifying precancerous lesions is histopathology. Objectives: Purpose of This study aims to evaluate the cervix by colposcopic directed histopathology in a tertiary care hospital. Methods: This Cross-sectional study was conducted among 67 patients from North east medical college and Hospital, Sylhet. The study was done for the period of “January 2022 to June 2023 “. Patients having the following complaints: positive visual inspection of the cervix (VIA + ve) with 3-5% acetic acid, post-coital bleeding, postmenopausal bleeding, and intermenstrual bleeding were recruited for the study. Written informed consent was obtained from the participants. Results: Out of the total cases, 23 (34.33%) had squamous cell carcinoma, 14 (20.89%) had LSIL, 11 (16.42%) had adenocarcinoma, 9 (13.43%) had HSIL, and 7 (10.45%) had cervical intraepithelial neoplasia. Adenosquamous was 4.48% in 3 instances. Conclusion: The colposcopic guided histological investigation found squamous cell carcinoma to be the most common cervical neoplasia in this study. Afterwards, a large proportion of cases are attributed to LSIL, adenocarcinoma, HSIL, CIN, and adenosquamous carcinoma.

Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms

BackgroundCervical cancer (CC) is among the most prevalent cancer types among women with the highest prevalence in low- and middle-income countries (LMICs). It is a curable disease if detected early. Machine learning (ML) techniques can aid in early detection and prediction thus reducing screening and treatment costs. This study focused on women living with HIV (WLHIV) in Uganda. Its aim was to identify the best predictors of CC and the supervised ML model that best predicts CC among WLHIV.MethodsSecondary data that included 3025 women from three health facilities in central Uganda was used. A multivariate binary logistic regression and recursive feature elimination with random forest (RFERF) were used to identify the best predictors. Five models; logistic regression (LR), random forest (RF), K-Nearest neighbor (KNN), support vector machine (SVM), and multi-layer perceptron (MLP) were applied to identify the out-performer. The confusion matrix and the area under the receiver operating characteristic curve (AUC/ROC) were used to evaluate the models.ResultsThe results revealed that duration on antiretroviral therapy (ART), WHO clinical stage, TPT status, Viral load status, and family planning were commonly selected by the two techniques and thus highly significant in CC prediction. The RF from the RFERF-selected features outperformed other models with the highest scores of 90% accuracy and 0.901 AUC.ConclusionEarly identification of CC and knowledge of the risk factors could help control the disease. The RF outperformed other models applied regardless of the selection technique used. Future research can be expanded to include ART-naïve women in predicting CC.

Cataloging circulating CD3+CD56+ NKT-like cells through a series of stimulating (NKG2D and DNAM-1) and inhibitory (PD-1, TIGIT, and Tim-3) immune checkpoint receptors in women diagnosed with precancerous cervical lesions or invasive cervical carcinoma

Persistent human papillomavirus infection is associated with the development of premalignant lesions that can eventually lead to cervical cancer. In this study, we evaluated the expression of activating (NKG2D, DNAM-1) and inhibitory immune checkpoints receptors (PD-1, TIGIT, and Tim-3) in peripheral blood NKT-like (CD3+CD56+) lymphocytes from patients with cervical carcinoma (CC, n = 19), high-grade lesions (HG, n = 8), low-grade lesions (LG, n = 19) and healthy donors (HD, n = 17) using multiparametric flow cytometry. Dimensional data analysis showed four clusters within the CD3+CD56+ cells with different patterns of receptor expression. We observed upregulation of CD16 in CC and HG patients in one of the clusters. In another, TIGIT was upregulated, while DNAM-1 was downregulated. Throughout manual gating, we observed that NKT-like cells expressing activating receptors also co-express inhibitory receptors (PD-1 and TIGIT), which can affect the activation of these cells. A deeper characterization of the functional state of the cells may help to clarify their role in cervical cancer, as will the characterization of the NKT-like cells as cytotoxic CD8+ T cells or members of type I or type II NKT cells.

The Effect of Random Biopsy and Endo-Cervical Curettage in Diagnosis of Precancerous Cervical Lesions in Women With Normal Colposcopy.

This study aimed to evaluate the effect of random biopsy and endo-cervical curettage (ECC), alone and together, in the diagnosis of high-grade cervical lesions in women with normal colposcopy. This cross-sectional study was conducted on 356 women who underwent colposcopy examination in the gynecology-oncology clinic of Roointan-Arash Women's Hospital, affiliated with Tehran University of Medical Sciences. All eligible women underwent colposcopy. In colposcopy examination, up to four biopsy samples were randomly taken for each quartile of the cervix and ECC was performed. Finally, the rate of intraepithelial neoplasia (CIN) and the relation between random biopsy and ECC and CIN diagnosis was determined. In total, 27 (7.6%) low-grade squamous intraepithelial lesions (LSIL) and 19 (5.3%) high-grade squamous intraepithelial lesions (HSIL) were detected in cases that underwent random biopsy. There was a significant association between the abnormal random biopsy results and having multiple sexual partners (p=0.001), cigarette (p=0.041), and hookah (p=0.033) smoking. Furthermore, 31 (8.7%) LSIL and 42 (11.8%) HSIL were reported in women who underwent ECC. There was a significant relation between the abnormal results of ECC and hookah consumption (p=0.008) and human papillomavirus (HPV) infection (p=0.011). The concordance (p=0.001) between random biopsy and ECC result was 71.2% and only in 28.8% of the cases one of the methods was normal and the other was abnormal. The present study showed that the simultaneous use of ECC and random biopsy in women with normal colposcopy increases the detection rate of precancerous lesions by up to 28.8%.

Innovative Design Strategy and Research Progress of Anti Human Papilloma Virus Infection Agents

This review summarized the mechanism of a novel fusion protein (PHPV fusion protein) containing membrane penetrating peptide and oligopeptide-1 (EGF). The new PHPV fusion protein contains two kinds of polypeptides: membrane penetrating peptide and oligopeptide-1, so it has a good function of preventing and treating HPV virus. PHPV fusion protein not only has the multi effect function of membrane penetrating peptide and oligopeptide-1, but also the negative charge (anion) C-terminal of the cross-linked and fused new protein surface interacts with the positive charge (cation) N-terminal on HPV particles. Through the combination of the N-terminal of the positive charge on its surface with the negative charge of the hydrophobic region in the middle and the C-terminal of the recognition region site containing peptidase, the membrane translocation signal is coupled with the NLS of the nuclear localization signal, thus blocking the invasion of human papillomavirus into host cells. Through the interaction of cell membrane, it can penetrate the natural barrier of cell membrane and play a role in destroying the viral membrane shell to inactivate the virus, so as to prevent cervical precancerous lesions and treat HPV infection. PHPV fusion protein can repair damaged cells, enhance the elasticity of loose vaginal mucosa, tighten the inner wall of the vagina, improve the vaginal wetness, and reduce the vaginitis reaction.

Human papillomavirus infection among adolescents living with HIV: a focus on prevention.

To highlight recent data on HPV infection and cervical precancerous lesions in adolescents with HIV, and priorities for primary and secondary HPV prevention. Incident and persistent high-risk HPV infections and cervical abnormalities are higher among young women with perinatally acquired HIV compared to their HIV-negative peers; data on HPV among males with perinatally acquired HIV are scarce. HPV vaccination is highly effective in preventing HPV-related disease, but antibody titers may decline in people with HIV. It remains unclear if emerging recommendations to reduce vaccine schedules from three doses to two or one dose are appropriate for children and adolescents with perinatally acquired HIV. Due to higher risks of HPV-related cancers, screening guidelines for cervical cancer differ in their frequency and age at initiation for women with HIV, but there are no recommendations for women with perinatally acquired HIV; nor for anal cancer screening for men with perinatally acquired HIV. Data on the effectiveness of reduced HPV vaccine schedules in children and adolescents with HIV are needed. Implementation research to guide strategies for vaccination, screening, and treatment should include children, adolescents, and young adults with perinatally acquired HIV to ensure they are not left behind.

Using Geospatial Analysis to Identify Priority Communities for Cervical Cancer Prevention in Texas

Despite being almost entirely preventable, cervical cancer is the fourth most frequently diagnosed cancer among women worldwide. Cervical cancer incidence suggests missed opportunities for prevention. Geospatial analysis could strategically guide public health interventions. This study aimed to identify geographic clusters of cervical cancer incidence in Texas, a state with higher than national rates of cervical cancer incidence and mortality. In this population-based cross-sectional study, the authors analyzed incident cervical cancer data among Texas women aged 30-64 years, from 2014 to 2018. The authors conducted a purely spatial Poisson-based analysis function in SaTScan to examine geographic clusters of higher-than-expected proportions of cervical cancer incidence (i.e., hot spots) and adjusted for age. A total of 5,060 women aged 30-64 years with incident cervical cancer diagnosis (mean age: 45.7 years, SD=9.6), including 1,840 (36.4%) Hispanic, 591 (11.7%) non-Hispanic Black, 2,397 (47.4%) non-Hispanic White, and 232 (4.6%) other races, were analyzed. Spatial scan analysis detected 7 significant hot spots of cervical cancer incidence. Hot spots were identified in the South Texas Plains (near Mexico border), Gulf Coast (Houston), Prairies and Lakes (North Texas), Panhandle Plains (Northwest Texas), and Piney Woods (Southeast Texas) regions of Texas. Hot spots, compared with the rest of Texas, had higher proportions of Hispanic population and individuals with socioeconomic disadvantages. This study found spatial variation in cervical cancer incidence in Texas. The hot spot areas can benefit from targeted, novel, scalable, and cost-effective interventions to increase human papillomavirus vaccination and screening and early detection and treatment of precancerous cervical lesions.

Prevalence and risk factors associated with precancerous and cancerous cervical lesions among HIV-infected women in University of Gondar specialized comprehensive referral hospital, Northwest Ethiopia: cross-sectional study design

BackgroundCervical cancer is one of the leading causes of death in women worldwide. The majority of the cases are found in developing countries. The increasing risk of cervical cancer prevalence and growing danger of death from cervical cancer and the high occurrence of human papillomavirus (HPV) infection in women who are HIV positive give us the ground to study the prevalence and associated risk factors.ObjectiveThe study aims to assess the prevalence of cervical cancer screening and associated risk factors among HIV-positive women attending the Adult ART clinic at the University of Gondar Hospital.MethodsAn institution-based cross-sectional study was conducted from March to August 2021, on adult HIV-positive women attending the Adult ART clinic at Gondar University Referral Hospital by phone calling patients per week for six months to complete a total of 2744 HIV-positive patients who were not screened for cervical cancer before. The data were collected using an interviewer-administered questionnaire. Bivariate and multivariable logistic regression analyses were used to determine the presence and the degree of association between dependent and independent variables. In the multivariable logistic analysis, a P-value of < 0.05 and odds ratio with a 95% confidence interval were considered to determine independent predictors for the prevalence of premalignant or malignant cervical lesions among HIV-positive patients.ResultThis study assessed 915 HIV Positive women who were screened for cervical cancer via visual inspection with acetic acid (VIA) as the primary screening tool and found that 24.48% had positive VIA results. Those with VIA-positive cases pathology examination showed 72.4% had abnormal pathology reports (CIN 1/2/3–51.25%, 17.23% cancer & 3.9% CIS), strengthening the finding in many studies that suggest HIV-positive women have a high rate of premalignant lesions.

Choosing the Appropriate HPV Testing and Treatment Algorithm: What Works for Different Contexts?

Cervical cancer can be eliminated, and the global community intends to achieve this goal in the next century. For this to successfully occur, concerted efforts to implement and scale-up available, evidence-based strategies including human papillomavirus vaccination, screening and treatment of precancerous lesions, and early detection and treatment for invasive cancers is paramount. While the World Health Organization has offered technical guidance and recommendations on implementation, several questions remain unanswered and require urgent high-quality research to inform policy and practice. We discuss the findings from the Cervical Cancer Screening and Treatment Algorithms pilot study in the context of the evidence synthesis conducted for the second edition of the World Health Organization guidelines for screening and treatment of cervical precancer lesions for cervical cancer prevention. Policymakers at the national level must consider the weight of evidence with country-level resources to make decisions on screening, triage, and treatment approaches. See related article by Sebitloane et al., p. 779.

Provision of cervical cancer services for women living with HIV, Uganda.

To describe the scale-up of cervical cancer screening and treatment for women living with human immunodeficiency virus (HIV), aged 25-49years in Uganda, and to analyse the programme data. The health ministry targeted existing HIV clinics in a 2-year scale-up of cervical cancer screening services from October 2020. In preparation, we trained health workers to assess women attending HIV clinics for screening eligibility, provided either by human papillomavirus (HPV) testing and/or visual inspection with acetic acid. Clinic staff treated women with precancerous cervical lesions with thermocoagulation or referred women with suspected cancer to external services. We analysed data reported every 6months for the number of clinics offering screening, screening uptake, the number of positive diagnoses and the number of women who received treatment. The number of HIV clinics offering cervical cancer screening services increased from 11, before the programme launch, to 1571. During the programme, screening uptake increased from 5.0% (6506/130 293) to 107.3% (151 872/141 527) of targets. The cumulative proportion of positive diagnoses was 5.9% (23 970/407 323) overall, but was much lower for screening offering visual inspection only compared with clinics offering HPV testing. Although the proportion of women receiving treatment if positive increased from 12.8% (53/413) to 84.3% (8087/9592), the World Health Organization target of 90% was not reached. We demonstrated marked increases, potentially replicable by other countries, in screening and treatment. These increases could be improved further by expanding HPV testing and same-day treatment of precancerous lesions.

Internal validation of Automated Visual Evaluation (AVE) on smartphone images for cervical cancer screening in a prospective study in Zambia.

Visual inspection with acetic acid (VIA) is a low-cost approach for cervical cancer screening used in most low- and middle-income countries (LMICs) but, similar to other visual tests, is subjective and requires sustained training and quality assurance. We developed, trained, and validated an artificial-intelligence-based "Automated Visual Evaluation" (AVE) tool that can be adapted to run on smartphones to assess smartphone-captured images of the cervix and identify precancerous lesions, helping augment VIA performance. Prospective study. Eight public health facilities in Zambia. A total of 8204 women aged 25-55. Cervical images captured on commonly used low-cost smartphone models were matched with key clinical information including human immunodeficiency virus (HIV) and human papillomavirus (HPV) status, plus histopathology analysis (where applicable), to develop and train an AVE algorithm and evaluate its performance for use as a primary screen and triage test for women who are HPV positive. Area under the receiver operating curve (AUC); sensitivity; specificity. As a general population screening tool for cervical precancerous lesions, AVE identified cases of cervical precancerous and cancerous (CIN2+) lesions with high performance (AUC = 0.91, 95% confidence interval [CI] = 0.89-0.93), which translates to a sensitivity of 85% (95% CI = 81%-90%) and specificity of 86% (95% CI = 84%-88%) based on maximizing the Youden's index. This represents a considerable improvement over naked eye VIA, which as per a meta-analysis by the World Health Organization (WHO) has a sensitivity of 66% and specificity of 87%. For women living with HIV, the AUC of AVE was 0.91 (95% CI = 0.88-0.93), and among those testing positive for high-risk HPV types, the AUC was 0.87 (95% CI = 0.83-0.91). These results demonstrate the feasibility of utilizing AVE on images captured using a commonly available smartphone by nurses in a screening program, and support our ongoing efforts for moving to more broadly evaluate AVE for its clinical sensitivity, specificity, feasibility, and acceptability across a wider range of settings. Limitations of this study include potential inflation of performance estimates due to verification bias (as biopsies were only obtained from participants with visible aceto-white cervical lesions) and due to this being an internal validation (the test data, while independent from that used to develop the algorithm was drawn from the same study).