Clinical efficacy of a new therapeutic option for lower genital tract lesions: 5-ALA photodynamic therapy.

The study utilized 5-ALA-PDT to treat patients with CIN or VaIN and assessed their clinical response, HPV clearance, and influencing factors after photodynamic therapy (PDT). This study involved 56 patients who received 5-ALA-PDT in a single center from May 2020 to March 2022, including 12 patients with CIN, 30 patients with VaIN, and 14 patients with both CIN and VaIN. Follow-up were conducted within 6 and 12 months after treatment to evaluate the clinical effectiveness of PDT. The assessment criteria included histological response (ER, elimination rate, RR, regression rate) and HPV clearance. Additionally, factors that could potentially influence the outcomes were analyzed. After PDT, the histological response showed an ER of 48.2% (27/56) and a RR of 80.4% (45/56) within 6 months of follow-up. The elimination rate increased to 69.6% (39/56) within 12 months, along with a regression rate of 82.1% (46/56). The rates of HPV clearance were observed to be 37.5% (21/56) and 44.6% (25/56) within 6 and 12 months, respectively. The study also revealed that HPV clearance significantly influenced histologic elimination within 6 months (p < 0.001) and histologic regression within 12 months (p < 0.01). Furthermore, premenopausal women exhibited a higher HPV clearance rate compared to postmenopausal women (61.5% vs. 30.0%, p = 0.036). 5-ALA PDT can be considered as an available option for the treatment of lower genital squamous intraepithelial lesions. The efficacy of its histologic response depends on HPV clearance. Additionally, it has been found that premenopausal women may benefit more from this treatment.

Validation of digital image slides for diagnosis in cervico-vaginal cytology.

OBJECTIVE: To test the diagnostic concordance between microscopic (MI) and digital (DG) observation of cervico-vaginal (CV) cytology in a validation study of the technique. METHODS: Five cytotechnologists (CT) reviewed 888 routine CV cytology cases from the Cervical Pathology Unit of our center over a 2-week period of time. The cases were first observed by MI and at the end of the day the cases were observed by DG. STATISTICAL ANALYSIS USED: Agreement calculated using the Kappa index. RESULTS: Most of the diagnoses corresponded to benign (64%) or inflammatory conditions (14%) and 24% corresponded to the intraepithelial lesion or malignancy (ILM) category. The overall kappa coefficient of concordance was strong (0.87). Among the different CTs it was almost perfect in two, strong in two and moderate in one. In 18 cases (10%) there were discrepancies between techniques in the category of ILM. In 10 (56%) cases there was an overdiagnosis in DG and in 8 (44%) an overdiagnosis in MI. Only in two cases, the diagnostic discrepancy exceeded one degree of difference between lesions, and they were ASCUS or AGUS for DG and CIN 2 for MI. CONCLUSIONS: In this validation test in which routine cases during a two-week period have been used, observing the cases with both techniques on the same day, we have obtained a strong degree of concordance. The discordances obtained have not been considered relevant.

Validation of immunohistochemical overexpression of p16 in the histologic diagnosis of cervical intraepithelial neoplasia grade 2.

An accurate cytohistologic diagnosis is important to avoid overtreatment of cervical intraepithelial lesions. The three-tiered Cervical Intraepithelial Neoplasia (CIN) classification, grades 1, 2 and 3, despite poor agreement among pathologists in diagnosing CIN2, is still being used. The College of American Pathologists recommended an alternative two-tiered classification that has not yet been universally accepted. We review the diagnostic results of 286 biopsies performed by three pathologists using haematoxylin and eosin (H&E) and p16 to establish the level of agreement among the readers. Agreement between pathologists in diagnosing CIN2 with H&E was around 45% and improved to 86.7% when interpreting p16 stained biopsies without H&E; agreement with pathologist 3 was lower, around 60%. Discrepant results from one pathologist when assessing p16 highlights the decisive influence of individual criteria. P16 has shown to improve agreement between pathologists with previous good agreement, but did not correct it for the third pathologist. In equivocal cases, protein p16 is a useful conjunctive tool for a histologic diagnosis.

Clinical evaluation of an artificial intelligence-assisted cytological system among screening strategies for a cervical cancer high-risk population.

BACKGROUND: Primary cervical cancer screening and treating precancerous lesions are effective ways to prevent cervical cancer. However, the coverage rates of human papillomavirus (HPV) vaccines and routine screening are low in most developing countries and even some developed countries. This study aimed to explore the benefit of an artificial intelligence-assisted cytology (AI) system in a screening program for a cervical cancer high-risk population in China. METHODS: A total of 1231 liquid-based cytology (LBC) slides from women who underwent colposcopy at the Chinese PLA General Hospital from 2018 to 2020 were collected. All women had received a histological diagnosis based on the results of colposcopy and biopsy. The sensitivity (Se), specificity (Sp), positive predictive value (PPV), negative predictive value (NPV), false-positive rate (FPR), false-negative rate (FNR), overall accuracy (OA), positive likelihood ratio (PLR), negative likelihood ratio (NLR) and Youden index (YI) of the AI, LBC, HPV, LBC + HPV, AI + LBC, AI + HPV and HPV Seq LBC screening strategies at low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion (HSIL) thresholds were calculated to assess their effectiveness. Receiver operating characteristic (ROC) curve analysis was conducted to assess the diagnostic values of the different screening strategies. RESULTS: The Se and Sp of the primary AI-alone strategy at the LSIL and HSIL thresholds were superior to those of the LBC + HPV cotesting strategy. Among the screening strategies, the YIs of the AI strategy at the LSIL + threshold and HSIL + threshold were the highest. At the HSIL + threshold, the AI strategy achieved the best result, with an AUC value of 0.621 (95% CI, 0.587-0.654), whereas HPV testing achieved the worst result, with an AUC value of 0.521 (95% CI, 0.484-0.559). Similarly, at the LSIL + threshold, the LBC-based strategy achieved the best result, with an AUC of 0.637 (95% CI, 0.606-0.668), whereas HPV testing achieved the worst result, with an AUC of 0.524 (95% CI, 0.491-0.557). Moreover, the AUCs of the AI and LBC strategies at this threshold were similar (0.631 and 0.637, respectively). CONCLUSIONS: These results confirmed that AI-only screening was the most authoritative method for diagnosing HSILs and LSILs, improving the accuracy of colposcopy diagnosis, and was more beneficial for patients than traditional LBC + HPV cotesting.

The predictive value of serum inflammatory markers for the severity of cervical lesions.

OBJECTIVE: Exploring the predictive value of NLR, PLR, MLR, and SII for the severity of cervical cancer screening abnormalities in patients. METHODS: A retrospective analysis was conducted on the data of 324 patients suspected of cervical lesions due to abnormal TCT and/or HPV in our hospital from January 2023 to December 2023, who underwent colposcopy. The pathological results of colposcopic biopsy confirmed that there were 140 cases of chronic cervicitis, which classified as the group without cervical lesions. The cervical lesion group included 184 cases, including 91 cases of LSIL, 71 cases of HSIL, and 22 cases of cervical cancer. Compared the differences in preoperative peripheral blood NLR, PLR, MLR, and SII among different groups of patients, and evaluated their predictive value for the severity of cervical lesions using Receiver Operating Characteristic (ROC) curves. RESULTS: The levels of NLR, PLR, and SII in the group without cervical lesions were lower than those in the group with cervical lesions (p < 0.05), and there was no statistically significant difference in MLR (p > 0.05). The comparison of NLR among LSIL, HSIL, and cervical cancer groups showed statistically significant differences (p < 0.05), while PLR, MLR, and SII showed no statistically significant differences (p > 0.05). The AUC of peripheral blood NLR, PLR, and SII for predicting cervical lesions were 0.569, 0.582, and 0.572, respectively. The optimal cutoff values were 2.3,176.48, and 603.56. The sensitivity and specificity were 38.6% and 73.6%, 28.8% and 85.7%, 37.5% and 76.4%, respectively. At the same time, the joint testing of the three had the highest efficiency, with sensitivity of 69% and specificity of 45%. CONCLUSION: Although the peripheral blood NLR, PLR, and SII of the cervical lesions patients were higher than those without cervical lesions in cervical cancer screening abnormal patients, the predictive ROC curve discrimination was low. Therefore, it is not recommended to use preoperative peripheral blood inflammatory markers as markers for cervical cancer screening abnormal patient diversion.

Assessment of malignant potential for HPV types 16, 52, and 58 in the uterine cervix within a Korean cohort.

High-risk human papillomavirus (HR-HPV) is the primary carcinogen in uterine cervical carcinoma. While genotype-specific carcinogenic risks have been extensively studied in Western populations, data from Korean are sparse. This study evaluates the malignant potential of the three most prevalent HR-HPVs in Korea: HPV16, HPV52, and HPV58. We analyzed 230 patients who underwent cervical conization and had been tested for HPV within a year prior to the procedure, excluding those with multiple infections. This analysis was confined to patients with single HPV infections and assessed outcomes of CIN3+, which includes carcinoma in situ (CIN3) and invasive carcinoma. The incidence of invasive cervical cancer was 6.7% for HPV16, 1.7% for HPV52, and 2.0% for HPV58; however, these differences were not statistically significant (p = 0.187). The rate of CIN3+ for HPV16, HPV52, and HPV58 were 70.6%, 51.7%, and 58.8%, respectively. Despite the small sample size, which may limit the robustness of statistical analysis, the data suggest a higher observed risk with HPV16. These findings highlight the need for vigilant clinical management tailored to specific HPV genotypes and support the implementation of a nine-valent vaccine in Korea. Physicians should be aware of these genotype-specific risks when treating patients.

Risk factors for residual lesions after total hysterectomy in patients with high-grade cervical intraepithelial neoplasia.

BACKGROUND: The purpose of this study was to predict the risk factors for residual lesions in patients with high-grade cervical intraepithelial neoplasia who underwent total hysterectomy. METHODS: This retrospective study included 212 patients with histologically confirmed high-grade cervical intraepithelial neoplasia (CIN2-3) who underwent hysterectomy within 6 months after loop electrosurgical excision procedure (LEEP). Clinical data (e.g., age, menopausal status, HPV type, and Liquid-based cytology test(LCT) type), as well as pathological data affiliated with endocervical curettage (ECC), colposcopy, LEEP and hysterectomy, were retrieved from medical records. A logistic regression model was applied to estimate the relationship between the variables and risk of residual lesions after hysterectomy. RESULTS: Overall, 75 (35.4%) patients had residual lesions after hysterectomy. Univariate analyses revealed that positive margin (p = 0.003), glandular involvement (p = 0.017), positive ECC (p < 0.01), HPV16/18 infection (p = 0.032) and vaginal intraepithelial neoplasia (VaIN) I-III (p = 0.014) were factors related to the presence of residual lesions after hysterectomy. Conversely, postmenopausal status, age ≥ 50 years, ≤ 30 days from LEEP to hysterectomy, and LCT type were not risk factors for residual lesions. A positive margin (p = 0.025) and positive ECC (HSIL) (p < 0.001) were identified as independent risk factors for residual lesions in multivariate analysis. CONCLUSIONS: Our study revealed that positive incisal margins and ECC (≥ CIN2) were risk factors for residual lesions, while glandular involvement and VaIN were protective factors. In later clinical work, colposcopic pathology revealed that glandular involvement was associated with a reduced risk of residual uterine lesions. 60% of the patients with residual uterine lesions were menopausal patients, and all patients with carcinoma in situ in this study were menopausal patients. Therefore, total hysterectomy may be a better choice for treating CIN in menopausal patients with positive margins and positive ECC.

PAX1 methylation as a robust predictor: developing and validating a nomogram for assessing endocervical curettage (ECC) necessity in human papillomavirus16/18-positive women undergoing colposcopy.

OBJECTIVE: The major challenge in routine endocervical curettage (ECC) among Human Papillomavirus (HPV) 16/18-positive patients is that only a small fraction benefit. Nevertheless, current reported models often overestimate the validity and necessity of ECC, making it difficult to improve benefits for patients. This research hypothesized that assessing paired boxed gene 1 methylation levels (PAX1m) and clinical characteristics could enhance the predictive accuracy of detecting additional high-grade squamous intraepithelial lesions or worse (HSIL +) through ECC that were not identified by colposcopy-directed biopsy (CDB). METHODS: Data from 134 women with HPV16/18 positivity undergoing CDB and ECC between April 2018 and April 2022 were collected and analyzed. Quantitative methylation-specific polymerase chain reaction (qMSP) was utilized to measure PAX1m, expressed as ΔCp. Univariate and multivariate regression analyses were conducted to screen variables and select predictive factors. A nomogram was constructed using multivariate logistic regression to predict additional HSIL + detected by ECC. The discrimination, calibration, and clinical utility of the nomogram were evaluated using receiver operating characteristic curves (ROC) and the calibration plot. RESULTS: Age (odds ratio [OR], 5.654; 95% confidence interval [CI], 1.131-37.700), cytology (OR, 24.978; 95% CI, 3.085-540.236), and PAX1 methylation levels by grade (PAX1m grade) (OR, 7.801; 95% CI, 1.548-44.828) were independent predictive factors for additional detection of HSIL + by ECC. In HPV16/18-positive women, the likelihood of additional detection of HSIL + through ECC increased with the severity of cytological abnormalities, peaking at 43.8% for high-grade cytological lesions. Moreover, when cytological findings indicated low-grade lesions, PAX1 methylation levels were positively correlated with the additional detection of HSIL + by ECC (P value < 0.001). A nomogram prediction model was developed (area under curve (AUC) = 0.946; 95% CI, 0.901-0.991), demonstrating high sensitivity (90.9%) and specificity (90.5%) at the optimal cutoff point of 107. Calibration analysis confirmed the model's strong agreement between predicted and observed probabilities. CONCLUSION: The clinical nomogram presented promising predictive performance for the additional detection of HSIL + through ECC among women with HPV16/18 infection. PAX1 methylation level could serve as a valuable tool in guiding individualized clinical decisions regarding ECC for patients with HPV 16/18 infection, particularly in cases of low-grade cytological findings.

Allelic loss of HLA class I facilitates evasion from immune surveillance in cervical intraepithelial neoplasia.

Loss of heterozygosity (LOH) has been reported to occur in HLA regions in cervical intraepithelial neoplasia (CIN) and cervical cancer. However, the details of how this is related to the progression of CIN have been unclear. In this study, we examined the human papillomavirus (HPV) antigen-presenting capacity of people with CIN and the significance of LOH of HLA class I in the progression of CIN. It was shown that differences in antigen-presenting capacity among each case depended on HLA types, not HPV genotypes. Focusing on the HLA type, there was a positive correlation between antigen-presenting capacity against HPV and the frequency of allelic loss. Furthermore, the lost HLA-B alleles had a higher HPV antigen-presenting capacity than intact alleles. In addition, frequency of LOH of HLA class I was significantly higher in advanced CIN (CIN2-3) than in cervicitis or early-stage CIN (CIN1): around half of CIN2-3 had LOH of any HLA class I. Moreover, the antigen-presenting capacity against E5, which is the HPV proteins that facilitate viral escape from this immune surveillance by suppressing HLA class I expression, had the most significant impact on the LOH in HLA-B. This study suggests that HPV evades immune surveillance mechanisms when host cells lose the capacity for antigen presentation by HLA class I molecules, resulting in long-term infection and progression to advanced lesions.

Risk of cervical high-grade squamous intraepithelial neoplasia in cytologic negative and persistently high-risk human papillomavirus positive patients according to genotypes: a retrospective single center analysis.

In January 2020, a different cervical cancer screening program started in Germany. Women above the age of 35 are recommended to have a combined HPV and cytology swab every three years. Showing persistent high-risk human papillomavirus (hrHPV), cytologic negative cervical samples at baseline and after 12 months, patients are referred to colposcopy. Entailing considerable additional workload due to the required colposcopies, we analyzed the risk of high-grade cervical intraepithelial neoplasia (CIN 3) in cytologic negative and persistent hrHPV women according to their hrHPV genotypes.Methods In this single center retrospective study, patients with persistent hrHPV, cytology negative cervical samples from our certified Colposcopy Unit in 2020 and 2021 were analyzed. Patient demographics, hrHPV types, biopsy rates and histological reports were collected.Results During the study, 69 patients were enrolled. Most frequent hrHPV genotypes were: hrHPV other 72.5%; HPV 16, 20.3% and HPV 18, 7.2%. Colposcopy showed no or minor changes in 92.7% and major changes in 7.2%. CIN 3 was found in 7 patients (10.1%). Prevalence of CIN 3 by hrHPV genotypes was 27.3% for HPV16, 20.0% for HPV18 and 7.1% for HPVO. A statistically significant dependency between hrHPV and cervical intraepithelial neoplasia was demonstrated (p = 0.048).Conclusion Within this single center study of persistent hrHPV, cytologic negative samples, patients with HPV 16 were more likely to have high-grade disease compared to other hrHPV subtypes. Larger prospective randomized trials are needed to substantiate our results and obtain adjusted cervical cancer screening time intervals according to the hrHPV genotypes.

Development of a machine learning-based model for predicting positive margins in high-grade squamous intraepithelial lesion (HSIL) treatment by Cold Knife Conization(CKC): a single-center retrospective study.

OBJECTIVES: This study aims to analyze factors associated with positive surgical margins following cold knife conization (CKC) in patients with cervical high-grade squamous intraepithelial lesion (HSIL) and to develop a machine-learning-based risk prediction model. METHOD: We conducted a retrospective analysis of 3,343 patients who underwent CKC for HSIL at our institution. Logistic regression was employed to examine the relationship between demographic and pathological characteristics and the occurrence of positive surgical margins. Various machine learning methods were then applied to construct and evaluate the performance of the risk prediction model. RESULTS: The overall rate of positive surgical margins was 12.9%. Independent risk factors identified included glandular involvement (OR = 1.716, 95% CI: 1.345-2.189), transformation zone III (OR = 2.838, 95% CI: 2.258-3.568), HPV16/18 infection (OR = 2.863, 95% CI: 2.247-3.648), multiple HR-HPV infections (OR = 1.930, 95% CI: 1.537-2.425), TCT ≥ ASC-H (OR = 3.251, 95% CI: 2.584-4.091), and lesions covering ≥ 3 quadrants (OR = 3.264, 95% CI: 2.593-4.110). Logistic regression demonstrated the best prediction performance, with an accuracy of 74.7%, sensitivity of 76.7%, specificity of 74.4%, and AUC of 0.826. CONCLUSION: Independent risk factors for positive margins after CKC include HPV16/18 infection, multiple HR-HPV infections, glandular involvement, extensive lesion coverage, high TCT grades, and involvement of transformation zone III. The logistic regression model provides a robust and clinically valuable tool for predicting the risk of positive margins, guiding clinical decisions and patient management post-CKC.

Impact of CD44 genetic variants on clinicopathological characteristics of uterine cervical cancer patients.

CD44 genetic variants have been found to be related to various cancers. However, to date, no study has demonstrated the involvement of CD44 polymorphisms in uterine cervical cancer in Taiwanese women. Therefore, we conducted a retrospective study, consecutively recruiting 113 patients with invasive cancer, 92 patients with high-grade cervical intraepithelial neoplasias, and 302 control women to assess the relationships among CD44 polymorphisms, cervical carcinogenesis, and patient survival. Real-time polymerase chain reaction was used to determine the genotypic distributions of six polymorphisms: rs1425802, rs187115, rs713330, rs11821102, rs10836347, and rs13347. The results revealed that women with the mutant homozygous genotype CC exhibited a higher risk of invasive cancer compared to those with the wild homozygous genotype TT [p=0.035; hazard ratio (HR)=10.29, 95% confidence interval (95% CI)=1.18-89.40] and TT/TC [p=0.032; HR=10.66, 95% CI=1.23-92.11] in the CD44 polymorphism rs713330. No significant association was found between CD44 genetic variants and clinicopathological parameters. Among the clinicopathological parameters, only positive pelvic lymph node metastasis (p=0.002; HR=8.57, 95% CI=2.14-34.38) and the AG/GG genotype compared to AA (p=0.014; HR=3.30, 95% CI=1.28-8.49) in CD44 polymorphism rs187115 predicted a higher risk of poor five-year survival, according to multivariate analysis. In conclusion, an important and novel finding revealed that Taiwanese women with the AG/GG genotype in CD44 polymorphism rs187115 exhibited a higher risk of poor five-year survival.

Analysis of the clinical characteristics and surgical methods of high-grade squamous intraepithelial lesions of the cervix in postmenopausal women: A retrospective case study.

The purpose of this study was to thoroughly evaluate the clinical features and surgical options for high-grade squamous intraepithelial lesions (HSIL) in postmenopausal women. A total of 308 patients diagnosed with HSIL through colposcopic cervical biopsy and endocervical curettage were included. Their clinical characteristics, surgical treatments, and postoperative pathology were analyzed. Key findings include: 1. Patients with positive preoperative thinprep cytologic test (TCT) results and postoperative pathology indicating HSIL or squamous cell carcinoma (≥HSIL) were significantly more frequent than those with negative preoperative TCT results (P < .05). 2. Univariate analysis indicated significant impacts of TCT, human papillomavirus (HPV) type, transformation zone (TZ) location, and surgical technique on postoperative pathology (P < .05). 3. Logistic regression analysis confirmed significant influences of TCT, HPV type, TZ location, and surgical method on postoperative pathology outcomes (P < .05), showing that each unit increase in TZ raised the probability of ≥HSIL in postoperative pathology by 49.7%. In surgical comparisons, cold knife conization (CKC) and extrafascial hysterectomy resulted in 8.379 and 4.427 times higher probabilities of ≥HSIL in postoperative pathology, respectively, compared to loop electrosurgical excision procedure (LEEP). 4. Surgical methods significantly influenced margin results (P < .05). After LEEP, 17.5% of cases had positive margins, compared to 9.4% after CKC, and 3.7% after extrafascial hysterectomy, indicating the highest rate of positive surgical margins occurred with LEEP. 1. Combined TCT and HPV screening is crucial for cervical cancer prevention, early detection, and management in postmenopausal women. Women with positive results for both TCT and HPV should undergo colposcopic cervical biopsy and endocervical curettage. 2. For patients with TZ3, CKC is the recommended surgical option. 3. CKC is the preferred treatment for postmenopausal women with HSIL, as it effectively diagnoses and treats the lesion, showing superior outcomes in managing postmenopausal HSIL.

[Artificial Intelligence: accuracy for the diagnosis of precancerous lesions of the cervix]. / Inteligencia Artificial: precisión diagnóstica de lesiones preneoplásicas de cérvix uterino.

INTRODUCTION: To compare the diagnostic sensitivity of artificial intelligence (AI) assisted videocolposcopy with standard videocolposcopy performed by specialist colposcopists. METHODS: A descriptive retrospective cross-sectional study, 782 anonymized medical records from the Computerized System for Screening (SITAM) of women who underwent videocolposcopy with AI and colposcopy with common videocolposcopy performed by specialists, with their corresponding biopsies (gold standard) were analyzed. The relationship between the results of IA videocolposcopy and regular videocolposcopy and the results of biopsies was evaluated. The overall accuracy of each diagnostic procedure was calculated. The sensitivity and concordance of the results of AI videocolposcopy with the gold standard (biopsy) were determined. RESULTS: A total of 395 patient records of patients with IA videocolposcopy and 387 with regular videocolposcopy were analyzed. The accuracy of results was 80% (IC 95%: 75-83%) in IA videocolposcopy and 65% (IC 95%: 60-69%) in regular videocolposcopy (p<0.001). Videocolposcopy results with IA and common colposcopy were significantly correlated with biopsy results, rs=0.75 vs. rs=0.57 respectively (p<0.001). The sensitivity of videocolposcopy with AI was 96% (95% CI: 94-98%), and 93% (95% CI: 89-95%) for regular colposcopy. The overall agreement of colposcopic impressions classified by videocolposcopy with AI and disease was higher than that of colposcopic interpretation by colposcopists (90% vs. 83%, Kappa 0.59 vs. 0.47, p<0.001). CONCLUSION: The high diagnostic accuracy of AI videocolposcopy allows obtaining highly sensitive studies that help in the early detection of precursor lesions of cervical neoplasia.

Introducción: Objetivo: comparar sensibilidad diagnóstica de videocolposcopia con inteligencia artificial (IA) auxiliar, con la videocolposcopia común realizada por colposcopistas. Métodos: Estudio descriptivo de corte transversal retrospectivo, en 782 historias clínicas anonimizadas del Sistema Informático para el Tamizaje (SITAM), de mujeres a las cuales se les efectuaron videocolposcopia con IA y colposcopías con videocolposcopio común realizadas por especialistas, con sus biopsias (gold standard). Se evaluó la relación entre los resultados de videocolposcopia con IA y videocolposcopia común con resultados de las biopsias. Se calculó precisión global de cada procedimiento diagnóstico. Se determinó sensibilidad y concordancia de los resultados de la videocolposcopia con IA, con el gold standard. Resultados: Se analizaron 395 historias clínicas de pacientes con videocolposcopia con IA y 387 con videocolposcopia común. La precisión diagnóstica de resultados fue 80% (IC 95%: 75-83%) en videocolposcopias con IA y 65% (IC 95%: 60-69%) en videocolposcopia común (p<0.001). Los resultados de videocolposcopia con IA y colposcopia común se correlacionaron significativamente con los resultados de las biopsias, rs=0.75 vs. r s=0.57 respectivamente (p<0.001). La sensibilidad de videocolposcopia con IA fue 96% (IC 95%: 94-98%), y 93% (IC 95%: 89-95%) en colposcopías comunes. La concordancia general de las impresiones colposcópicas clasificadas por videocolposcopia con IA y enfermedad fue mayor que la de la interpretación colposcópica de los colposcopistas (90% frente a 83%, Kappa 0.59 frente a 0.47, p<0.001). Conclusión: La alta precisión diagnóstica de videocolposcopia con IA permite aumentar la sensibilidad del estudio y mejorar la detección precoz de lesiones precursoras de neoplasias cervicouterinas.

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

OBJECTIVES: 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. DESIGN: Prospective study. SETTING: Eight public health facilities in Zambia. PARTICIPANTS: A total of 8204 women aged 25-55. INTERVENTIONS: 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. MAIN OUTCOME MEASURES: Area under the receiver operating curve (AUC); sensitivity; specificity. RESULTS: 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). CONCLUSIONS: 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).

Improving diagnostic of cervical dysplasia among postmenopausal women aged ≥50 years using local vaginal oestrogen treatment prior to colposcopy: study protocol for a multicentre randomised controlled trial (the IDEAL study).

INTRODUCTION: Colposcopy is the most important diagnostic tool to detect cervical precancerous lesions and thereby prevention of cervical cancer. Due to age-dependent changes of the cervix, colposcopy is challenging in postmenopausal women, as the majority will have a non-visible transformation zone, resulting in increased risk of missing disease, a diagnostic cone biopsy and prolonged follow-up with repeated colposcopies. This study will be among the first to investigate, if treatment with vaginal oestrogen prior to colposcopy will improve the colposcopy performance, to ensure accurate and timely diagnosis of precancerous cervical lesions among postmenopausal women. METHODS AND ANALYSIS: A randomised blinded controlled multicentre study. Enrolment will be performed at gynaecology departments in Central Denmark Region and Region of Southern Denmark. A total of 150 postmenopausal women aged ≥50 years referred for colposcopy due to abnormal cervical screening results will be randomised 1:1 to either pretreatment with vaginal application of Vagifem 30 µg or placebo once a day for 14 days prior to colposcopy. The primary outcome will be to compare the percentage of women in the two groups with a visible transformation zone at colposcopy, and biopsies representative of the transformation zone. Secondary outcomes will be the proportion of detected cervical intraepithelial neoplasia grade 2 or higher in the cervical biopsies; the proportion of diagnostics cone biopsies; the patients' report on possible side effects and compliance to the pretreatment. ETHICS AND DISSEMINATION: The study has been approved by the Central Denmark Region Committee on Biomedical Research Ethics (1-10-72-34-22), the Central Denmark Regions' Research Unit (1-16-02-72-22) and The Danish Health Authority (Danish Medicine Agency; 2022015030). The study's EudraCT number is (1-23-456; 2022-000269-42) and it is registered on www. CLINICALTRIALS: gov. The local Good Clinical Practice (GCP) unit will supervise and monitor the study closely before, during and after the study period. Findings will be disseminated in peer-reviewed scientific journals and presented in relevant conferences. TRIAL REGISTRATION NUMBER: NCT05283421.

Distribution and Severity of Cervical Intraepithelial Neoplasia in Women With Different Human Papillomavirus: An Analysis From Liaoning Province of Northeastern China.

OBJECTIVE: Persistent infection with high-risk human papillomavirus (HPV) is a key contributor to cervical intraepithelial neoplasia (CIN), but the relation between high-risk HPV genotypes and the location of CIN lesions remains unclear. The aims of this study were to investigate the most frequent biopsy site of CIN lesions in women with different HPV infection and to analyze the biopsy times, CIN frequency, and the clustering of CIN frequency based on 12-o'clock sites and cervical quadrant locations. MATERIALS AND METHOD: We conducted a retrospective study of HPV detection and genotyping at the virology department of our hospital. Colposcopy exams were performed by specialists according to a standardized protocol, and all visually abnormal areas were further biopsied. Pearson chi-squared tests and cluster analyses were implemented to analyze the data. RESULTS: Among 1,381 women enrolled in this study, 933 cases infected with HPV. HPV16, HPV58, and HPV18 were the most common genotypes. The most frequent biopsy site was the 6 o'clock position. The highest frequency of high-grade CIN findings in single-genotype HPV groups was the 6 o'clock position and that for multiple-genotype HPV group was the 12 o'clock location. All CIN clusters were found in the 6 and 12 o'clock biopsy sites, except in the HPV18 group. Quadrant 2 and 4 were clustered in most groups. CONCLUSIONS: The 6 and 12 o'clock sites in cervical quadrant 2 and 4 should be targeted during cervical biopsy procedures. These findings can provide clinicians with specific recommendations on the optimal site for CIN biopsy when considering the HPV genotype.

TPP1 is associated with risk of advanced precursors and cervical cancer survival.

It is unclear how telomere-binding protein TPP1 interacts with human telomerase reverse transcriptase (hTERT) and influences cervical cancer development and progression. This study included all eligible 156 cervical cancers diagnosed during 2003-2008 and followed up through 2014, 102 cervical intraepithelial neoplasia (CIN) patients, and 16 participants with normal cervix identified at the same period. Correlation of expression of TPP1 and hTERT in these lesions was assessed using Kappa statistics. TPP1 was knocked down by siRNA in three cervical cancer cell lines. We assessed mRNA expression using quantitative real-time polymerase chain reaction and protein expression using tissue microarray-based immunohistochemical staining. We further analyzed the impact of TPP1 expression on the overall survival of cervical cancer patients by calculating the hazard ratio (HR) with 95% confidence intervals (CIs) using the multivariable-adjusted Cox regression model. Compared to the normal cervix, high TPP1expression was significantly associated with CIN 3 and cervical cancers (P<0.001 for both). Expressions of TPP1 and hTERT were highly correlated in CIN 3 (Kappa statistics = 0.50, P = 0.005), squamous cell carcinoma (Kappa statistics = 0.22, P = 0.011), and adenocarcinoma/adenosquamous carcinoma (Kappa statistics = 0.77, P = 0.001). Mechanistically, knockdown of TPP1 inhibited the expression of hTERT in both mRNA and protein levels. High expression of TPP1 (HR = 2.61, 95% CI 1.23-5.51) and co-high expression of TPP1 and hTERT (HR = 2.38, 95% CI 1.28-4.43) were independently associated with worse survival in cervical cancer patients. TPP1 and hTERT expression was correlated and high expression of TPP1 was associated with high risk of CIN 3 and cervical cancer and could predict a worse survival in cervical cancer.

Evidence of Decreased Long-term Risk of Cervical Precancer after Negative Primary HPV Screens Compared with Negative Cytology Screens in a Longitudinal Cohort Study.

BACKGROUND: The growing use of primary human papillomavirus (HPV) cervical cancer screening requires determining appropriate screening intervals to avoid overtreatment of transient disease. This study examined the long-term risk of cervical precancer after HPV screening to inform screening interval recommendations. METHODS: This longitudinal cohort study (British Columbia, Canada, 2008 to 2022) recruited women and individuals with a cervix who received 1 to 2 negative HPV screens (HPV1 cohort, N = 5,546; HPV2 cohort, N = 6,624) during a randomized trial and women and individuals with a cervix with 1 to 2 normal cytology results (BCS1 cohort, N = 782,297; BCS2 cohort, N = 673,778) extracted from the provincial screening registry. All participants were followed through the registry for 14 years. Long-term risk of cervical precancer or worse [cervical intraepithelial neoplasia grade 2 or worse (CIN2+)] was compared between HPV and cytology cohorts. RESULTS: Cumulative risks of CIN2+ were 3.2/1,000 [95% confidence interval (CI), 1.6-4.7] in HPV1 and 2.7/1,000 (95% CI, 1.2-4.2) in HPV2 after 8 years. This was comparable with the risk in the cytology cohorts after 3 years [BCS1: 3.3/1,000 (95% CI, 3.1-3.4); BCS2: 2.5/1,000 (95% CI, 2.4-2.6)]. The cumulative risk of CIN2+ after 10 years was low in the HPV cohorts [HPV1: 4.7/1,000 (95% CI, 2.6-6.7); HPV2: 3.9 (95% CI, 1.1-6.6)]. CONCLUSIONS: Risk of CIN2+ 8 years after a negative screen in the HPV cohorts was comparable with risk after 3 years in the cytology cohorts (the benchmark for acceptable risk). IMPACT: These findings suggest that primary HPV screening intervals could be extended beyond the current 5-year recommendation, potentially reducing barriers to screening.