Detection Of Cervical Intraepithelial Neoplasia Research Articles

Evaluation of a real-time optoelectronic method for the detection of cervical intraepithelial neoplasia and cervical cancer in patients with different transformation zone types

We aimed to evaluate the diagnostic value of TruScreen, a real-time diagnostic technology, for cervical lesions in patients with different transformation zone (TZ) types. A total of 1908 women aged 34.0 ± 7.3 years who have received cytology, human papillomavirus (HPV) testing, TruScreen, and colposcopy were recruited. The clinical performances of these tests were evaluated for their detection of high-grade squamous intraepithelial lesion (HSIL), adenocarcinoma in situ (AIS), or more severe lesions in patients with different TZ types. For the detection of HSIL, AIS, or more severe lesions, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of TruScreen were 65.08%, 64.76%,11.55%, and 96.33%, respectively, which were similar to cytology (all P values > 0.05). For the detection of HSIL + in patients with type 3 TZ, the sensitivity, specificity, PPV, and NPV of TruScreen were 72.29%, 67.59%, 13.86%, and 97.13%, respectively, which were significantly higher than the sensitivity (51.16%, P = 0.029), specificity (59.59%, P = 0.001), PPV (7.94%, P = 0.016), and NPV (94.71%, P = 0.049) in type 1 and type 2 TZs. TruScreen has detection accuracy comparable to cytology and performs even better in patients with type 3 TZ.

Impact of HIV infection on cervical intraepithelial neoplasia detection in pregnant and non-pregnant women in Germany: a cross-sectional study.

Women living with HIV (WLWH) are frequently affected by cervical dysplasia caused by Human Papillomavirus (HPV) and invasive cervical cancer (CxCa). CxCa screening programs can include colposcopy, cytology, and HPV testing. These methods, however, have limitations in effectively stratifying cervical dysplasia. This study aimed to evaluate the applicability of an innovative mRNA-based multiplexed expression-quantifying assay in the detection and assessment of cervical dysplasia in WLWH. The QuantiGene-Molecular-Profiling-Histology Assay (QG-MPH) was used to detect and quantify HPV oncogene and cellular biomarker mRNA expression. These results were included in the Risk Score (QG-MPH RS) calculations that inform about the presence and severity of dysplasia. QG-MPH RS results were compared to the highly sensitive Multiplexed Papillomavirus Genotyping (MPG) Assay and clinical results obtained by cytology, colposcopy and histology. For a standardized nomenclature of clinical results, the clinical ASSIST Score was used. Of 241 WLWH, including 96 pregnant women, a concordance between the QG-MPH RS and the ASSIST Score was found to 36.3% (49/135) in non-pregnant WLWH and 67.1% (57/85) in pregnant WLWH. The QG-MPH method demonstrated high specificity for detecting high-risk HPV (HR-HPV) genotypes and high-grade cervical dysplasia, achieving 89.6% and 82.4%, respectively, including pregnant and non-pregnant WLWH. The QG-MPH assay shows potential for improving the detection and management of HPV-related cervical dysplasia in WLWH, including pregnant women. Its high specificity, however, is tempered by its tendency to overestimate dysplasia severity in certain cases, indicating that further research is needed to refine its use as a reliable diagnostic tool for this high-risk population.

Analysis of the sensitivity of high-grade squamous intraepithelial lesion Pap diagnosis and interobserver variability with the Hologic Genius Digital Diagnostics System.

Artificial intelligence (AI)-based systems are transforming cytopathology practice. The aim of this study was to evaluate the sensitivity of high-grade squamous intraepithelial lesion (HSIL) Papanicolaou (Pap) diagnosis assisted by the Hologic Genius Digital Diagnostics System (GDDS). A validation study was performed with 890 ThinPrep Pap tests with the GDDS independently. From this set, a subset of 183 cases originally interpreted as HSIL confirmed histologically were included in this study. The sensitivity for detecting HSIL by three cytopathologists was calculated. Most HSIL cases were classified as atypical glandular cell/atypical squamous cell-high grade not excluded (AGC/ASC-H) and above by all cytopathologists. Of these cases, 11.5% were classified as low-grade squamous intraepithelial lesion (LSIL) by pathologist A (P-A), 6% by pathologist B (P-B), and 5.5% by pathologist C (P-C); 3.8%, 2.7%, and 1.6% of these cases were classified as atypical squamous cell of unknown significance (ASC-US) by P-A, P-B, and P-C, respectively. The sensitivity for detection of cervical intraepithelial neoplasia 2 and above (CIN2+) lesions was 100% if ASC-US and above (ASC-US+) abnormalities were counted among all three pathologists. The sensitivity for detection of CIN2+ lesions was 84.7%, 91.3%, and 92.9% by P-A, P-B, and P-C, respectively, for ASC-H and above abnormalities. The Kendall W coefficient was 0.722, which indicated strong agreement between all pathologists. New-generation AI-assisted Pap test screening systems such as the GDDS have the potential to transform cytology practice. In this study, the GDDS aided in interpreting HSIL in ThinPrep Pap tests, with good sensitivity and agreement between the pathologists who interacted with this system.

To compare liquid based cytology and HPV DNA testing in detection of cervical intraepithelial Neoplasia

To compare liquid based cytology and HPV DNA testing in detection of cervical intraepithelial Neoplasia

Distribution and diagnostic value of single and multiple high-risk HPV infections in detection of cervical intraepithelial neoplasia: A retrospective multicenter study in China.

The risk associated with single and multiple human papillomavirus(HPV) infections in cervical intraepithelial neoplasia (CIN) remains uncertain. This study aims to explore the distribution and diagnostic significance of the number of high-risk HPV (hr-HPV) infections in detecting CIN, addressing a crucial gap in our understanding. This comprehensive multicenter, retrospective study meticulously analyzed the distribution of single and multiple hr-HPV, the risk of CIN2+, the relationship with CIN, and the impact on the diagnostic performance of colposcopy using demographic information, clinical histories, and tissue samples. The composition of a single infection was predominantly HPV16, 52, 58, 18, and 51, while HPV16 and 33 were identified as the primary causes of CIN2+. The primary instances of dual infection were mainly observed in combinations such as HPV16/18, HPV16/52, and HPV16/58, while HPV16/33 was identified as the primary cause of CIN2+. The incidence of hr-HPV infections shows a dose-response relationship with the risk of CIN (p for trend <0.001). Compared to single hr-HPV, multiple hr-HPV infections were associated with increased risks of CIN1 (1.44, 95% confidence interval [CI]: 1.20-1.72), CIN2 (1.70, 95%CI: 1.38-2.09), and CIN3 (1.08, 95%CI: 0.86-1.37). The colposcopy-based specificity of single hr-HPV (93.4, 95%CI: 92.4-94.4)and multiple hr-HPV (92.9, 95% CI: 90.8-94.6) was significantly lower than negative (97.9, 95%CI: 97.0-98.5) in detecting high-grade squamous intraepithelial lesion or worse (HSIL+). However, the sensitivity of single hr-HPV (73.5, 95%CI: 70.8-76.0) and multiple hr-HPV (71.8, 95%CI: 67.0-76.2) was higher than negative (62.0, 95%CI: 51.0-71.9) in detecting HSIL+. We found that multiple hr-HPV infections increase the risk of developing CIN lesions compared to a single infection. Colposcopy for HSIL+ detection showed high sensitivity and low specificity for hr-HPV infection. Apart from HPV16, this study also found that HPV33 is a major pathogenic genotype.

Artificial Intelligence in Early Detection of Cervical Intraepithelial Neoplasia

Artificial Intelligence (AI) is a quickly evolving field of technology used to develop intelligent machines capable of performing tasks such as problem solving, decision making , perception, language processing, and learning. This paper explores the application of AI in the field of gynecological oncology, specifically in the diagnosis of cervical cancer. The paper proposes a hybrid AI model that uses a Gaussian mixture model and a deep learning model to segment and classifies colposcope images. The model performed with satisfactory segmentation metrics of sensitivity, specificity, dice index, and Jaccard index of 0.976, 0.989, 0.954, and 0.856, respectively. This model aims to accurately classify cancer and non-cancer cases from a colposcope image. The results showed that this method could effectively segment the colposcopy images and extract the cervix region. This can be a valuable tool for automated cancer diagnosis and can help improve the diagnosis's accuracy.

Colposcopic Detection of CIN in Patients with Clinically Abnormal Cervix at a Tertiary Care Center in Bangladesh

Background: Cervical cancer poses a significant public health challenge globally, especially in regions like Bangladesh where access to effective screening programs is limited. Early detection and management of cervical intraepithelial neoplasia (CIN) play crucial roles in preventing the progression to cervical cancer. This study investigates the diagnostic accuracy of colposcopy, compared with histopathological findings, in detecting various grades of CIN and cervical cancer. Methods: This retrospective observational study reviewed hospital records of 200 VIA-positive cases from January 2021 to December 2023 at the Obstetrics and Gynecology Department of Holy Family Red Crescent Medical College Hospital Dhaka, Bangladesh. Colposcopic examinations were conducted, followed by histopathological evaluations of biopsied tissues to confirm the presence and grade of CIN. Data on demographic characteristics, clinical findings, and outcomes were analyzed using descriptive statistics. Result: Of the participants, 44% had normal colposcopic findings, while the prevalence of CIN I, CIN II, CIN III, and cervical cancer was 22.5%, 17%, 11%, and 4%, respectively. Histopathological correlation confirmed 46% as normal, with discrepancies noted in higher-grade lesion diagnosis. The study highlighted the high sensitivity but variable specificity of colposcopy in detecting and grading cervical lesions. Conclusion: Colposcopy serves as a valuable diagnostic tool in the early detection of cervical abnormalities. However, discrepancies in lesion grading underscore the need for integrating colposcopy with histopathological evaluations to enhance diagnostic accuracy and optimize patient management.

PAX1 and SOX1 Gene Methylation as a Detection and Triage Method for Cervical Intraepithelial Neoplasia Diagnosis.

Methylation assays have demonstrated potential as dependable and high-precision approaches for identifying or triaging individuals with cervical cancer (CA) or cervical intraepithelial neoplasia (CIN). Our investigation aimed to assess the efficacy of the diagnosis and triage of the PAX1/SOX1 methylation panel in detecting CIN or CA. A total of 461 patients with abnormal high-risk human papillomavirus (hrHPV) or cytology test results were recruited for this study. Each patient underwent an assortment of assessments, comprising a cytology test, hrHPV test, colposcopy examination, and PAX1 and SOX1 methylation tests. The extent of methylation of both genes demonstrates a positive correlation with the severity of CIN lesions and CA. To determine the correlation for patients with CIN2 or worse (CIN2+), the area under curve was 0.821 (95% CI: 0.782-0.853) for PAX1 and 0.800 (95% CI: 0.766-0.838) for SOX1, while for CIN3 or worse (CIN3+), 0.881 (95% CI: 0.839-0.908) for PAX1 and 0.867 (95% CI: 0.830-0.901) for SOX1. The PAX1/SOX1 methylation marker panel performed sensitivity and specificity of 77.16% and 91.67% for CIN2+, 84.76% and 90.50% for CIN3+, respectively. Regarding triaging hrHPV+ patients, the PAX1/SOX1 methylation test only referred 11.83% of the patients who are unnecessary for colonoscopy examination, which is comparatively lower than cytology, thereby signifying a promising triage strategy for hrHPV-positive women. Furthermore, we observed that the positive PAX1/SOX1 methylation test result for untreated CIN1 or fewer patients would result in a higher likelihood of progression upon a 24-month follow-up visit. The present investigation demonstrates that the PAX1/SOX1 methylation marker panel exhibits favorable diagnostic performance in CIN detection and holds the potential to be employed for individual CIN tests or hrHPV-positive triage.

Cytological DNA methylation for cervical cancer screening: a validation set.

In a previous training set with a case-controlled design, cutoff values for host EPB41L3 and JAM3 gene methylation were obtained for the detection of cervical intraepithelial neoplasia (CIN) 2 or more severe lesions (CIN2+). This validation trial was conducted to evaluate the role of DNA methylation in screening for CIN2+ by cervical cytology among unselected participants. From June 1, 2019, to September 1, 2019, in our study center, we collected liquid-based samples from cervical swabs for methylation assays and hrHPV testing in eligible patients. The primary endpoint was the diagnostic accuracy of DNA methylation and hrHPV genotyping for CIN2+ according to confirmed histology results. Among 307 participants, compared with hrHPV testing, the methylation assay for CIN2+ had lower sensitivity (68.7% versus 86.1%, p=0.002) but higher specificity (96.7% versus 0.696, p<0.001). The methylation assay also had favorable sensitivity and specificity in patients with negative hrHPV testing (56.3% and 96.9%) and in patients with cervical adenocarcinoma (73.7% and 92.7%). DNA methylation had higher specificity than the hrHPV assay (100.0% versus 44.4%, p<0.001) for identifying residual CIN2+ in patients without residual lesions. Positive cervical DNA methylation was associated with a diagnostic probability of endometrial carcinoma (odds ratio 15.5 [95% confidence interval 4.1-58.6]) but not of ovarian epithelial carcinoma (1.4 [0.3-6.5]). The host EPB41L3 and JAM3 gene methylation assay in cervical cytology had favorable diagnostic accuracy for CIN2+ and was highly specific for residual CIN2+ lesions The methylation assay is a promising triage tool in hrHPV+ women, or even an independent tool for cervical cancer screening. The methylation status in cervical cytology could also serve as a prognostic biomarker. Its role in detecting endometrial carcinomas is worthy of further exploration.

Clinical impact of age‑specific distribution of combination patterns of cytology and high‑risk HPV status on cervical intraepithelial neoplasia grade 2 or more.

To the best of our knowledge, the present study is the first to elucidate the significance of cytology and high-risk human papillomavirus (hrHPV) status in different age groups for the detection of cervical intraepithelial neoplasia (CIN)2, CIN3 and squamous cell carcinoma (SCC). There were 12 combinations based on cytology and hrHPV status [cytology: Atypical squamous cells (ASC) of undetermined significance, low-grade squamous intraepithelial lesion, ASC not excluding high-grade squamous intraepithelial lesion (HSIL) and HSIL; hrHPV status: HPV16/18-positive (16/18+), hrHPV positive for subtypes other than 16/18 (others+) and hrHPV-negative (hrHPV-)]. All patients were categorized into four groups based on age (18-29, 30-39, 40-49 and ≥50 years). For patients with CIN2, CIN3 and SCC (CIN2+) (n=107), the distribution of cytology and hrHPV was investigated in each age group. In addition, for all patients (n=446), the occurrence of CIN2+ in each of the 12 combinations was investigated in each age group. In the 18-29-year age group, the most common combination was HSIL and 16/18+, followed by HSIL and others+, which accounted for 73% of CIN2+ cases. The occurrence of HSIL and 16/18+ decreased with increasing age, and no cases occurred in the 50-year age group. In the 18-29-year age group, all patients with HSIL and 16/18+ were diagnosed with CIN2+. CIN2+ was predominantly detected in patients with HSIL in the 18-29-year age group, as well as hrHPV- and others+. This definite distinction was not observed in any other age group. For CIN2+, the distribution patterns of cytology and hrHPV status combinations varied significantly among different age groups. Accordingly, the clinical impact of the combination of cytological findings and hrHPV status can vary among age groups.

Risk stratification of HPV-positive results using extended genotyping and cytology: Data from the baseline phase of the Onclarity trial

BackgroundOptimizing the balance between colposcopy referrals and the detection of high-grade cervical intraepithelial neoplasia (CIN) during cervical cancer screening requires robust triage strategies. We evaluated the performance of extended HPV genotyping (xGT), in combination with cytology triage, and compared it to previously published performance data for high-grade CIN detection by HPV16/18 primary screening in combination with p16/Ki-67 dual staining (DS). Methods and materialsThe baseline phase of the Onclarity trial enrolled 33,858 individuals, yielding 2978 HPV-positive participants. Risk values for ≥CIN3 were determined for Onclarity result groupings corresponding to HPV16, not HPV16 but HPV18 or 31, not HPV16/18/31 but HPV33/58 or 52, not HPV16/18/31/33/58/52 but HPV35/39/68 or 45 or 51 or 56/59/66 across all cytology categories. Published data from the IMPACT trial for HPV16/18 plus DS was utilized as a comparator during ROC analyses. ResultsThere were 163 ≥ CIN3 cases detected. The ≥CIN3 risk stratum hierarchy (% risk of ≥CIN3) that resulted from this analysis included: >LSIL (39.4%); HPV16, ≤LSIL (13.3%); HPV18/31, ≤LSIL (5.9%); HPV33/58/52/45, ASC-US/LSIL (2.4%); HPV33/58/52, NILM (2.1%); HPV35/39/68/51/56/59/66, ASC-US/LSIL (0.9%); and HPV45/35/39/68/51/56/59/66, NILM (0.6%). For ≥CIN3 ROC analysis, the optimal cutoff for sensitivity versus specificity was approximated between not HPV16 but HPV18 or 31, any cytology (≥CIN3 sensitivity = 85.9% and colposcopy-to- ≥ CIN3 = 7.4) and not HPV16/18/31 but HPV33/58/52, NILM (≥CIN3 sensitivity = 94.5% and colposcopy-to- ≥CIN3 = 10.8). HPV16/18 with DS triage showed a sensitivity of 94.3%, with a colposcopy-to- ≥ CIN3 ratio of 11.4. ConclusionsxGT performed similarly compared to HPV primary screening plus DS for detection of high-grade CIN. xGT provides results that stratify risk in a flexible and reliable manner for colposcopy risk thresholds set by different guidelines or organizations.

A Descriptive Study of Different Methods of Cervical Cancer Screening among Ever-Married Women in 35-Year and 45-Year Cohorts in Kalutara District, Sri Lanka.

Screening for cervical cancer in Sri Lankan females with Pap smears (conventional cytology) has shown no marked reduction in cervical cancer incidence over the past two decades. The study aims to compare the efficacy of Pap smear, with other screening tools such as Liquid Based Cytology (LBC) and Human Papilloma Virus/deoxyribonucleic acid (HPV/DNA) (using cobas 4800) in detection of underlying cervical intraepithelial neoplasia (CIN) and cervical cancer among 35 and 45 year old ever married women in Kalutara districtin Sri Lanka. Women from 35-year cohort and 45-year cohort were selected from all Public Health Midwife areas (n=413) in Kalutara district by random sampling. Pap smear, LBC, and HPV/DNA specimen were collected s from women who attended the Well Woman Clinics (WWC) . Women with positive results from any method were confirmed by colposcopy. Results: Of the, 510 and 502 women in the 35-year cohort and 45-year cohort, respectively, included in the analysis, nine women among 35-year cohort (1.8%) and 7 women among 45-year cohort (1.4%) had cytological abnormality (positive results) with Pap smears. Thirteen women among 35-year cohort (2.5%) and 10 women among 45-year cohort (2%) age groups had cytological abnormality (positive results) with Liquid Based Cytology reports. Total of 32 women among 35-year cohort (6.2%) and 24 women among 45-year cohort (4.8%) were positive for HPV/DNA test. Of the women tested positive on screening, colposcopy revealed that HPV/DNA method was superior to Pap and LBC for detecting CIN while the results of latter two were comparable. The CIN detection rate by colposcopy was high with HPV/DNA screening with cobas 4800, whereas the detection rate by LBC was insignificantly higher than Pap smears.

Cytology compared with Hybrid Capture 2 human papilloma virus cervical cancer screening in HIV positive and HIV negative South African women

ObjectivesCervical cancer is preventable and caused by persistent infection with oncogenic human papilloma virus (HPV) types. HPV screening is more sensitive and is the preferred screening test. HPV screening data...

High-risk HPV testing vs liquid-based cytology for cervical cancer screening among 25- to 30-year-old women: A historical cohort study.

High-risk human papilloma virus (hrHPV) DNA testing is more sensitive than cytology screening, achieving greater protection against cervical cancer. Controversy exists regarding the preferred screening method for women 25-30 years of age. At this age, infection with HPV is common and usually transient. Consequently, hrHPV screening in this age group is fraught with high false-positive screening results, leading to more colposcopies and unnecessary treatments with the potential for harm. In the present study, we aimed to compare the results of two screening methods in relation to high-grade cervical intraepithelial lesion detection rate in the young age group of 25-30 years. Retrospective information on cervical cytology, hrHPV testing, colposcopy referrals and histologic results, from one screening round, were retrieved from the Maccabi HealthCare Health Maintenance Organization centralized database during the study period from March 1, 2017 to April 1, 2019 for 25- to 30-year-old women. Screening with hrHPV testing for types 16, 18 and 12 other hrHPV types was compared with the conventional PAP liquid-based cytology (LBC) test. Odds ratio (OR) of detection with 95% confidence interval (CI) was calculated for cervical intraepithelial neoplasia (CIN) grade 3 or higher (CIN 3+). During the study period, 42 244 women 25-30 years old underwent cervical cancer screening; of them, 20 997 were screened with LBC between March 1, 2017 and March 1, 2018 and compared with 21 247 who were screened with hrHPV between April 1, 2018 and April 1, 2019. Testing for hrHPV resulted in a higher colposcopy referral rate compared with primary LBC screening: 9.8% vs 7.8%, respectively; (OR 1.28; 95% CI 1.2-1.37; p< 0.001). Screening with hrHPV led to significantly higher detection of CIN 3+ lesions (OR 1.4; 95% CI 1.2-1.6; p< 0.001) compared with LBC. HPV infections with non-16/18 hrHPV (other hrHPV) were the most prevalent (84.8%). In women 25-30 years old, primary hrHPV screening was associated with a higher detection rate of CIN 3+ compared with cytology screening and should be considered for primary screening in this age group.

Validation of ASCL1 and LHX8 Methylation Analysis as Primary Cervical Cancer Screening Strategy in South African Women with Human Immunodeficiency Virus.

Compared with women who are human immunodeficiency virus (HIV) negative, women with human immunodeficiency virus (WWH) have a higher human papillomavirus (HPV) prevalence and increased cervical cancer risk, emphasizing the need for effective cervical cancer screening in this population. The present study aimed to validate methylation markers ASCL1 and LHX8 for primary screening in a South African cohort of WWH. In this post hoc analysis within the DIAgnosis in Vaccine And Cervical Cancer Screen (DiaVACCS) study, a South African observational multicenter cohort study, cervical scrape samples from 411 HIV-positive women were analyzed for hypermethylation of ASCL1 and LHX8 genes, HPV DNA, and cytology. Sensitivities, specificities, and positive and negative predictive values of primary methylation-based, HPV-based and cytology-based screening were calculated for the detection of cervical intraepithelial neoplasia of grade 3 or higher. Single markers ASCL1 and LHX8 resulted in a good performance for the detection of cervical intraepithelial neoplasia of grade 3 or higher, with sensitivities of 85.9% (95% confidence interval [CI], 78.2%-93.6%) and 89.7% (83.0%-96.5%), respectively, and specificities of 72.9% (67.3%-78.5%) and 75.0% (69.5%-80.5%). Combining markers ASCL1 and LHX8 resulted in a lower sensitivity compared with HPV testing (84.6% vs 93.6%, respectively; ratio, 0.90 [95% CI, .82-.99]) and a higher specificity (86.7% vs 78.3%; ratio 1.11 [1.02-1.20]) and reduced the referral rate from 46.8% to 33.4%. ASCL1/LHX8 methylation had a significantly higher sensitivity than cytology (threshold, high-grade intraepithelial squamous lesion or worse), (84.6% vs 74.0%, respectively; ratio, 1.16 [95% CI, 1.01-1.32]) and similar specificity (86.7% vs 91.0%; ratio, 0.95 [.90-1.003]). Our results validate the accuracy of ASCL1/LHX8 methylation analysis for primary screening in WWH, which offers a full-molecular alternative to cytology- or HPV-based screening, without the need for additional triage testing.

Evaluation of Visual Inspection after Acetic Acid/Cervicography as an Alternative to Colposcopy for Detection of Cervical Intraepithelial Neoplasia

Evaluation of Visual Inspection after Acetic Acid/Cervicography as an Alternative to Colposcopy for Detection of Cervical Intraepithelial Neoplasia

Diagnosis of Cervical Intraepithelial Neoplasia and Invasive Cervical Carcinoma by Cervical Biopsy under Colposcopy and Analysis of Factors Influencing.

Objective To explore the diagnosis of cervical intraepithelial neoplasia (CIN) and invasive cervical carcinoma (ICC) by cervical biopsy under colposcopy and analyze the factors influencing the detection. Methods The clinical data of 134 CIN confirmed by colposcopy biopsy in our hospital from June 2018 to October 2019 and subsequent LEEP treatment were analyzed retrospectively. All patients were diagnosed pathologically after the operation. The diagnosis of CIN by cervical biopsy under colposcopy was observed. The influencing factors of CIN and ICC detected by colposcopy biopsy were analyzed by the pathological results of loop electrosurgical excision procedure (LEEP) as the gold standard. Results After LEEP, the number of the no intraepithelial or malignant lesions (NILM) or ICC were higher than that of colposcopy biopsy, and CIN-III was lower than that of colposcopy biopsy, the differences were all statistically significant (P < 0.05). Among the 134 patients, the coincidence rate between colposcopy biopsy and LEEP examination results was 79.10% (106/134), and postoperative pathological findings showed that there were 13 cases (9.70%) with the pathological upgrade and 19 cases (14.18%) with pathological decrease. Multivariate logistic analysis showed that the image quality of colposcopy image, atypical blood vessels, biopsy sampling method, and visible lesion area of the cervix were the independent influencing factors for the detection of CIN and ICC by colposcopy biopsy (P < 0.05). Conclusion CIN and ICC can be diagnosed by colposcopy cervical biopsy and postoperative histopathology. However, there are still some missed and misdiagnosed cervical biopsies under colposcopy, and the combined detection of the two can further ensure the diagnosis rate. The clinical registration number is E2018091.

Encoder-Weighted W-Net for Unsupervised Segmentation of Cervix Region in Colposcopy Images.

Simple SummaryThe cervix region segmentation significantly affects the accuracy of diagnosis when analyzing colposcopy. Detecting the cervix region requires manual, intensive, and time-consuming labor from a trained gynecologist. In this paper, we propose a deep learning-based automatic cervix region segmentation method that enables the extraction of the region of interest from colposcopy images in an unsupervised manner. The segmentation performance with a Dice coefficient improved from 0.612 to 0.710 by applying the proposed loss function and encoder-weighted learning scheme and showed the best performance among all the compared methods. The automatically detected cervix region can improve the performance of image-based interpretation and diagnosis by suggesting where the clinicians should focus during colposcopy analysis.Cervical cancer can be prevented and treated better if it is diagnosed early. Colposcopy, a way of clinically looking at the cervix region, is an efficient method for cervical cancer screening and its early detection. The cervix region segmentation significantly affects the performance of computer-aided diagnostics using a colposcopy, particularly cervical intraepithelial neoplasia (CIN) classification. However, there are few studies of cervix segmentation in colposcopy, and no studies of fully unsupervised cervix region detection without image pre- and post-processing. In this study, we propose a deep learning-based unsupervised method to identify cervix regions without pre- and post-processing. A new loss function and a novel scheduling scheme for the baseline W-Net are proposed for fully unsupervised cervix region segmentation in colposcopy. The experimental results showed that the proposed method achieved the best performance in the cervix segmentation with a Dice coefficient of 0.71 with less computational cost. The proposed method produced cervix segmentation masks with more reduction in outliers and can be applied before CIN detection or other diagnoses to improve diagnostic performance. Our results demonstrate that the proposed method not only assists medical specialists in diagnosis in practical situations but also shows the potential of an unsupervised segmentation approach in colposcopy.

Randomized Implementation of a Primary Human Papillomavirus Testing-based Cervical Cancer Screening Protocol for Women 34 to 69 Years in Norway.

Cervical cancer screening programs are facing a programmatic shift where screening protocol based on human papillomavirus testing (HPV-Screening protocol) is replacing the liquid-based cytology (LBC-Screening protocol). For safe technology transfer within the nationwide screening programme in Norway, HPV-Screening protocol was implemented randomized to compare the real-world effectiveness of HPV-Screening protocol and LBC-Screening protocol at the first screening round. Among 302,295 women ages 34 to 69 years scheduled to attend screening from February 2015 to June 2017, 157,447 attended. A total of 77,207 were randomly allocated to the HPV-Screening protocol and 80,240 were allocated to the LBC-Screening protocol. All women were followed up for 18 months. The HPV-Screening protocol resulted in a relative increase of 60% in the detection of cervical intraepithelial neoplasia (CIN) grade 2 or worse [risk ratio (RR) = 1.6, 95% confidence interval (CI) = 1.5-1.7], 40% in CIN grade 3 or worse (RR = 1.4, 95% CI = 1.3-1.6), 40% in cancer (RR = 1.4, 95% CI = 1.0-2.1), and 60% in colposcopy referrals (RR = 1.6, 95% CI = 1.5-1.6) compared with LBC-Screening. The performance of both protocols was age dependent, being more effective in women ages under 50 years. The HPV-Screening protocol was well accepted by women in Norway and detected more CIN2, CIN3, and cancers compared with the LBC-Screening protocol. A randomized implementation of the HPV-Screening protocol with real-world assessment enabled a gradual, quality assured, and safe technology transition. HPV-based screening protocol may further be improved by using HPV genotyping and age-specific referral algorithms.

Accuracy of Naked Eye Visual Inspection in Early Detection of Cervical Intraepithelial Neoplasia at Zagazig University Hospitals

Accuracy of Naked Eye Visual Inspection in Early Detection of Cervical Intraepithelial Neoplasia at Zagazig University Hospitals