Value of multi-quadrants biopsy: Pooled analysis of 11 population-based cervical cancer screening studies

Evaluation of colposcopy after the addition of human papillomavirus testing to the Turkish cervical cancer screening program

OBJECTIVE

To evaluate colposcopy performance following the human papillomavirus (HPV) DNA screening program in Turkey.

METHODS

Women aged 30-65 years are screened for cervical cancer every 5 years, with individuals positive for HPV 16 and/or 18 or other high-risk HPV types with abnormal cytology referred for colposcopy. Both HPV test and cytology are obtained at the same visit. If HPV is negative, cytology will not be assessed. However, if HPV is positive, both cytology and HPV genotyping will be performed. Colposcopy-require was defined as HPV 16/18 positivity or abnormal smear results with any hrHPV positivity, and the remaining patients (normal smear with hrHPV positivity other than HPV 16/18) were grouped as colposcopy non-required. National data on colposcopy outcomes and unnecessary performance rates in February 2018-2019 were evaluated via a questionnaire.

RESULTS

A total of 9808 patients were included, divided based on colposcopy requirement: 5751 (58.6%) patients required colposcopy and 4057 (41.4%) did not. Unnecessary colposcopy was performed on 90.1% of the non-required group (3657 of 4057 patients). In the colposcopy-required group, 4455 patients (79.9%) underwent punch biopsy; 3194 (57.1%), endocervical curettage (ECC); and 421 (7.5%), "see and treat" in the non-required group, the results were 2790 (76.3%), 1957 (53.2%), and 211 (5.7%), respectively. A total of 746 cervical intraepithelial neoplasia (CIN)-3 isolates were detected, including 702 using existing screening and triage with 94.1% sensitivity (702/746). Multiple biopsies were taken in 69.8% (n = 3110) of patients from the colposcopy-required group and 63.7% (n = 1777) from the non-required group. The ECC samples included 19 cervical cancers and 212 ≥CIN-3 lesions in the colposcopy-required group, and four cancers and 41 ≥CIN-3 lesions in the non-required group. The proportion of ≥CIN-3 lesions detected by ECC only was 4.7% (35 of 746 ≥CIN-3 lesions).

CONCLUSION

Our results showed high rates of unnecessary colposcopies, and a high percentage of multiple and random punch biopsies and ECC.

Improving colposcopic accuracy for cervical precancer detection: a retrospective multicenter study in China

Background

Colposcopy alone can result in misidentification of high-grade squamous intraepithelial or worse lesions (HSIL +), especially for women with Type 3 transformation zone (TZ) lesions, where colposcopic assessment is particularly imprecise. This study aimed to improve HSIL + case identification by supplementing referral screening results to colposcopic findings.

Methods

This is an observational multicenter study of 2,417 women, referred to colposcopy after receiving cervical cancer screening results. Logistic regression analysis was conducted under uni- and multivariate models to identify factors which could be used to improve HSIL + case identification. Histological diagnosis was established as the gold standard and is used to assess accuracy, sensitivity, and specificity, as well as to incrementally improve colposcopy.

Results

Multivariate analysis highlighted age, TZ types, referral screening, and colposcopists’ skills as independent factors. Across this sample population, diagnostic accuracies for detecting HSIL + increased from 72.9% (95%CI 71.1–74.7%) for colposcopy alone to 82.1% (95%CI 80.6–83.6%) after supplementing colposcopy with screening results. A significant increase in colposcopic accuracy was observed across all subgroups. Although, the highest increase was observed in women with a TZ3 lesion, and for those diagnosed by junior colposcopists.

Conclusion

It appears possible to supplement colposcopic examinations with screening results to improve HSIL + detection, especially for women with TZ3 lesions. It may also be possible to improve junior colposcopists’ diagnoses although, further psychological research is necessary. We need to understand how levels of uncertainty influence diagnostic decisions and what the concept of “experience” actually is and what it means for colposcopic practice.

The Performance of Artificial Intelligence in Cervical Colposcopy: A Retrospective Data Analysis

Objective

We aimed to evaluate the performance of artificial intelligence (AI) system in detecting high-grade precancerous lesions.

Methods

A retrospective and diagnostic study was conducted in Chongqing Cancer Hospital. Anonymized medical records with cytology, HPV testing, colposcopy findings with images, and the histopathological results were selected. The sensitivity, specificity, and areas under the curve (AUC) in detecting CIN2+ and CIN3+ were evaluated for the AI system, the AI-assisted colposcopy, and the human colposcopists, respectively.

Results

Anonymized medical records from 346 women were obtained. The images captured under colposcopy of 194 women were found positive by the AI system; 245 women were found positive either by human colposcopists or the AI system. In detecting CIN2+, the AI-assisted colposcopy significantly increased the sensitivity (96.6% vs. 88.8%, p=0.016). The specificity was significantly lower for AI-assisted colposcopy (38.1%), compared with human colposcopists (59.5%, p < 0.001) or the AI system (57.6%, p < 0.001). The AUCs for the human colposcopists, AI system, and AI-assisted colposcopy were 0.741, 0.765, and 0.674, respectively. In detecting CIN3+, the sensitivities of the AI system and AI-assisted colposcopy were not significantly higher than human colposcopists (97.5% vs. 92.6%, p=0.13). The specificity was significantly lower for AI-assisted colposcopy (37.4%) compared with human colposcopists (59.2%, p < 0.001) or compared with the AI system (56.6%, p < 0.001). The AUCs for the human colposcopists, AI system, and AI-assisted colposcopy were 0.759, 0.674, and 0.771, respectively.

Conclusions

The AI system provided equally matched sensitivity to human colposcopists in detecting CIN2+ and CIN3+. The AI-assisted colposcopy significantly improved the sensitivity in detecting CIN2+.

Outcomes of women with positive oncogenic HPV and reflex cytology showing possible high-grade squamous intraepithelial lesion

AIM

To examine outcomes in women following cervical screening detection of oncogenic human papillomavirus (HPV), with reflex cytology showing possible high-grade squamous intraepithelial lesion (pHSIL).

MATERIALS AND METHODS

A retrospective observational study of 523 women seen in the Royal Women's Hospital Colposcopy Clinic from 1 January 2018 to 31 July 2020.

RESULTS

Two hundred eighty-two (53.9%) women had histology-confirmed HSIL, encompassing CIN2 or worse (CIN2+), including seven cancers (1.3%) and two adenocarcinoma in situ (AIS) (0.4%). In 81.2% (229/282) of women with CIN2+, this was detected on cervical biopsy at initial colposcopy, with another 8.9% (25/282) of CIN2+ detected at cervical excision following initial colposcopy and the remaining 9.9% (28/282) at follow-up colposcopy thereafter. When discordant cervical biopsy results were discussed at multidisciplinary meeting (MDM), 66.7% of women with pHSIL cytology upgraded to definite HSIL were found to have CIN2+, but only 20.8% when pHSIL cytology was retained and none when downgraded to low-grade (LSIL) or normal. No significant difference was found in the proportion of CIN2+ based on patient age above or below 40, HPV16 and/or 18 versus non 16/18, or whether discordant findings were reviewed at MDM.

CONCLUSIONS

We propose a pathway for management of women with positive oncogenic HPV and reflex pHSIL cytology. MDM review is recommended when CIN2+ is not identified on cervical biopsy at initial colposcopy. Conservative management is safe with low risk of CIN2+ when LBC prediction of pHSIL is confirmed or downgraded at MDM with no high-grade change on colposcopy or repeat cytology.