key: cord-0727271-0ahyu0pa authors: Desai, Kanan T.; Ajenifuja, Kayode O.; Banjo, Adekunbiola; Adepiti, Clement A.; Novetsky, Akiva; Sebag, Cathy; Einstein, Mark H.; Oyinloye, Temitope; Litwin, Tamara R.; Horning, Matt; Olanrewaju, Fatai Olatunde; Oripelaye, Mufutau Muphy; Afolabi, Esther; Odujoko, Oluwole O.; Castle, Philip E.; Antani, Sameer; Wilson, Ben; Hu, Liming; Mehanian, Courosh; Demarco, Maria; Gage, Julia C.; Xue, Zhiyun; Long, Leonard R.; Cheung, Li; Egemen, Didem; Wentzensen, Nicolas; Schiffman, Mark title: Design and feasibility of a novel program of cervical screening in Nigeria: self-sampled HPV testing paired with visual triage date: 2020-10-14 journal: Infect Agent Cancer DOI: 10.1186/s13027-020-00324-5 sha: f3025a37b19768d205c2d2e714367c1c872c6123 doc_id: 727271 cord_uid: 0ahyu0pa BACKGROUND: Accelerated global control of cervical cancer would require primary prevention with human papillomavirus (HPV) vaccination in addition to novel screening program strategies that are simple, inexpensive, and effective. We present the feasibility and outcome of a community-based HPV self-sampled screening program. METHODS: In Ile Ife, Nigeria, 9406 women aged 30–49 years collected vaginal self-samples, which were tested for HPV in the local study laboratory using Hybrid Capture-2 (HC2) (Qiagen). HPV-positive women were referred to the colposcopy clinic. Gynecologist colposcopic impression dictated immediate management; biopsies were taken when definite acetowhitening was present to produce a histopathologic reference standard of precancer (and to determine final clinical management). Retrospective linkage to the medical records identified 442 of 9406 women living with HIV (WLWH). RESULTS: With self-sampling, it was possible to screen more than 100 women per day per clinic. Following an audio-visual presentation and in-person instructions, overall acceptability of self-sampling was very high (81.2% women preferring self-sampling over clinician collection). HPV positivity was found in 17.3% of women. Intensive follow-up contributed to 85.9% attendance at the colposcopy clinic. Of those referred, 8.2% were initially treated with thermal ablation and 5.6% with large loop excision of transformation zone (LLETZ). Full visibility of the squamocolumnar junction, necessary for optimal visual triage and ablation, declined from 68.5% at age 30 to 35.4% at age 49. CIN2+ and CIN3+ (CIN- Cervical intraepithelial neoplasia), including five cancers, were identified by histology in 5.9 and 3.2% of the HPV-positive women, respectively (0.9 and 0.5% of the total screening population), leading to additional treatment as indicated. The prevalences of HPV infection and CIN2+ were substantially higher (40.5 and 2.5%, respectively) among WLWH. Colposcopic impression led to over- and under-treatment compared to the histopathology reference standard. CONCLUSION: A cervical cancer screening program using self-sampled HPV testing, with colposcopic immediate management of women positive for HPV, proved feasible in Nigeria. Based on the collected specimens and images, we are now evaluating the use of a combination of partial HPV typing and automated visual evaluation (AVE) of cervical images to improve the accuracy of the screening program. Nearly 85% of the annual 570,000 cervical cancer cases and almost 90% of the 311,000 related deaths occur in lower-resource countries [1, 2] due to the lack of effective cervical cancer prevention programs [3] . The COVID-19 (coronavirus disease of 2019) pandemic threatens to reduce elective procedures even further, including cervical screening and related diagnostic procedures, especially in lower-resource settings, and will likely worsen cervical cancer health disparities. As a major advantage compared with cytology, the specimen for HPV (human papillomavirus) testing can be collected by the woman herself using a vaginal self-collection device, yielding sensitivity for HPV infection that is similar to clinician-collected specimens when target-amplification methods like PCR (polymerase chain reaction) are used [4, 5] . Use of HPV testing will require a second diagnostic modality for positives, because majority of HPV infections are cleared within 1-2 years of initial detection. Only HPV infections that persist can cause precancer and invasive cancer [6] . Thus, an improved screening program must include triage methods to focus treatment safely on the small fraction of HPVpositive women with precancer, the general term we use to refer to lesions at substantial risk of invasion without treatment [7] . Ideal characteristics of a triage test for HPV-positive women, for use in low-resource regions, would include excellent risk discrimination (high precancer risk in positives, low risk in negatives), low-cost, simplicity, and point-of-care use. A new candidate for triage of HPV-positive women is automated visual evaluation (AVE) of cervical images using a deep-learning algorithm. A proof-of-principle evaluation of AVE of Cervigrams (NTL Worldwide, Fenton, Missouri) for the diagnosis of cervical precancer, demonstrated higher accuracy of AVE than expert gynecologist visual assessment or cytology [8] . Although these are promising results, the Cervigram cervical images were based on film and a discontinued expensive custom camera, and the technology is obsolete. Thus, it is essential to advance the transfer of the method to modern image acquisition devices (e.g., smartphones) [9] . There is also a need to evaluate the performance of AVE specifically for the triage of HPVpositive women, as HPV-positive controls [ 75% of the ectocervix, and cervix architecture was appropriate for the ablation probe [22] . Histopathological confirmation of CIN2 or CIN3 was used as the reference standard for the presence of precancer, against which other experimental tests were evaluated and final clinical review decisions were made. Even though from the clinical management purposes, all high-grade (CIN2+) lesions were treated equivalently; for the true yield of the screening effort, we reported the prevalence of CIN2+ and CIN3+ lesions separately to avoid the ambiguity of equivocal CIN2 lesions (a mixture of HPV infections, true precancers, and an error in histopathologic diagnosis) [23] . The study pathologist (AB) at the University of Lagos performed all pathology diagnoses. All cases were reviewed for adequate clinical management by a US gynecologic oncologist (AN). The more complex cases were discussed in a case conference call. Recall was recommended for women needing further management and such cases were re-reviewed once the recall was completed until the case was determined to be adequately treated. We planned to reach all women needing recall for additional management, a minimum of seven times. However, we restricted our attempts, and recalled only those women at the highest immediate risk of invasive cancer because of the spread of the COVID-19 pandemic in March 2020. All data and images were collected with a HIPAA (Health Insurance Portability and Accountability Act) compliant smartphone application 'EVA for research' (MobileODT, Israel). The data platform was custom designed for the project (led by CS) using an advanced barcode scanning system to limit human error from manual key-in. The data and images from different sources on study assigned smartphones were held locally until internet connectivity was available, at which point all data automatically transferred and aggregated to cloud servers and portal for analysis and remote quality assurance. The preliminary data were analyzed using SPSS 20 (Statistical Package for the Social Sciences) [24] and Epi Info [25] . Descriptive results were presented as frequencies and percentages. Chi-square tests were used to compare the yield of disease between different subgroups. In future analyses to evaluate the triage tests, the area under the curve (AUC) on a ROC (Receiver Operating Characteristic) curve will be used. Additional details on study methods (i.e. study site, organization of the clinics, training of staff, and image collection protocol) are provided in the Additional file 1. A total of 9625 women came for screening, of which 9406 (97.7%) eligible women aged 30-49 years were screened; and 219 (2.3%) ineligible women (1.7% due to age restrictions) were not screened (Details on enrollment and exclusions are provided in the Additional file 1). A total of 442 (4.7%) of 9406 women living with HIV (WLWH) were noted when cross referenced with the HIV clinic of OAUTHC, whereas HIV status was unknown for the remaining 8964 (95.3%) women. With self-sampling, we were able to screen an average of 20 women per working day (with a peak of up to 100 women in a single day per clinic with two self-sample collection areas). Roughly 9065 participants provided written feedback. Of those, 80.8% women said that they were able to collect the self-sample without any help from a nurse and 81.2% women said that they would prefer self-sampling to provider's sampling in the future. Asked to score their impressions, 78.5% women were very confident in their ability to collect the selfsampling, 91% found it very easy, 88.5% found it very comfortable (not painful at all), 95.1% found the video to be very helpful in guiding how to collect the sample, and 97.8% said they are very likely to recommend selfsampling to others. The difficult components of selfsampling reported (one or more issues for 2322 respondents) were: the decision on how deep to insert the brush into the vagina for 52% of 2322, how to insert the brush into the vagina for 49.1%, identifying the vaginal opening for 39.6%, rotating the brush inside the vagina for 23.3%, and proper handling to put the brush into the tube after collection for 18.9% women. A CIN2+ and CIN3+ include a total of four cases of squamous cell carcinoma (two of them were in 49-year old women, one in a 47-year old woman, and one in a 33-year old woman; all four cases were diagnosed on biopsy). We also presumptively included five women with OncoE6 HPV 16 positivity because of the known high positive predictive value of the biomarker (Three of the five had confirmed CIN2+; in two LLETZ was recommended and is still incomplete) c Histopathology report was not completed for four participants due to COVID-19 pandemic spread and lockdown. These four participants were excluded from the denominator differences in HPV positivity between the two groups persisted in all age groups. Out of 1630 HPV-positive women, 1400 (85.9%) enrolled for the study at colposcopy, of which seven cases were excluded due to unsatisfactory colposcopy and difficulty in image collection due to various reasons outlined in the Additional file 1. Out of the 1400 who enrolled, 709 (50.6%) women came for colposcopy after only one scheduling contact. An additional 299 (21.4%), 166 (11.9%), 85 (6.1%), 77 (5.5%) and 64 (4.6%) came after two, three, four, five, and more than five contact attempts. Following the protocol of immediate management by colposcopic impression, without awaiting histopathology diagnosis of the biopsies taken, 114 (8.2%) women were treated with thermal ablation and 78 (5.6%) with LLETZ. Histopathology report was not completed for two participants due to COVID-19 pandemic spread. These two participants were excluded from the denominator Overall, CIN2+ and CIN3+ (including five cancers), were detected in 5.9% (95% CI:4.7-7.3%) and 3.2% (95% CI:2.4-4.3%) of the HPV-positive women attending colposcopy (85% attendance among the 1630), respectively. Thus, overall yield of the screening effort was 0.9% of 9406 women for CIN2+ and 0.5% for CIN3 + . The prevalences of CIN2+ and CIN3+ among the HPV-positive women with unknown HIV status attending colposcopy were 5.7 and 2.9%, respectively, whereas the overall yields of the screening effort in these groups were 0.8 and 0.4%, respectively ( Table 1 ). The agespecific prevalences of high-risk HPV positivity and precancer among women with unknown HIV status are shown in Table 1 . The prevalence of HPV decreased from 18.6% at age 30-34 years to 14.4% at age 45-49 years (P = 0.0003, chi-square for trend). No meaningful trend was observed in the prevalence of precancer by age (P = 0.87, chi-square for trend for CIN2+), except for a very high 24.1% (seven CIN2+ including three cancers) overall prevalence at selfreported age of 49 years. The prevalences of CIN2+ and CIN3+ among the HPV-positive WLWH attending colposcopy were 7.8 and 6.4%, respectively (P = 0.31 for CIN2+ and P = 0.03 for CIN3+, independent chi-square test in comparison to women with unknown HIV status) ( Table 2 ). The yield of the screening effort among women living with HIV was 2.5% for CIN2+, of which all except two were actually CIN3+ (P < 0.001 for CIN2+ and CIN3+, independent chi-square in comparison to women with unknown HIV status) ( Table 2 ). Relatively small agespecific numbers preclude any conclusions regarding a trend in the prevalence of HPV or precancer by age. The proportion of HPV-positive women increased with decrease in CD4 (cluster of differentiation 4) count (64% in CD4 < 200/mm 3 vs 31.1% in CD4 > 500/ mm3, P = 0.001, chi-square for trend) and increase in HIV viral load (36.3% in <=20 copies/ml vs 50% in > 20 copies/ml, P = 0.02, independent chisquare), however small numbers precluded trend analysis of precancer/cancer. Out of a total of 75 histopathologically confirmed cases, 59 (78.7%) were diagnosed through biopsy or LLETZ of acetowhite lesions at colposcopy visit, 35 of which (59.3% of 59) had a high-grade colposcopic impression. QA review of colposcopic images revealed . This is important in light of the fact that even amongst women as young as age 30, the SCJ was only partially visible in 8.3% and not visible in 23.1% of women (31.5% total), rising to 12.5 and 52.1% (64.6% total) by age 49 years (P < 0.001, chi-square for trend) (Fig. 1) . Interestingly, multiple vaginal deliveries were found to increase full SCJ visibility (Fig. 2) . Among 192 women treated on-site based on colposcopic impression, without awaiting histopathology results, only 48 (25%) were eventually diagnosed with CIN2+ on histopathology (Table 3 ). Viewing overtreatment from another perspective, 11% of women with histopathologic 15 years have ever been screened for cervical cancer in Nigeria [32] . In a resource-constrained setting with a shortage of expert gynecologic providers and infrastructure, avoidable referral to colposcopy and substantial overtreatment are not sustainable. On the contrary, in settings with once in a lifetime screening opportunity for a majority of women, substantial missed diagnosis and undertreatment is not acceptable either. It is therefore essential that simple yet accurate triage tests, separately or in combination, are available to stratify risk of precancer/cancer among HPVpositive women such that treatment intensity can be tailored to risk of cancer and sustained with local resources. In the future, we will be assessing the machine-learning based AVE of cervical images using three different image collection methods. We will be reporting the results of the assessment of the combination of AVE with HPV genotyping for triage of HPV-positive women in subsequent papers. However, preliminary analysis of the cervical images from three different devices (Fig. 3a) has raised an important research question regarding the device portability of deep-learning based AVE algorithms due to variation in color, brightness, reflection, glare imparted by each device camera, light source and image processing application. Training or automation to capture an in-focus, non-blurry good quality cervical image, capturing entire SCJ, for evaluation by AVE, is yet another challenge. It is important to note that AVE, like other visual assessment methods, requires that the cervical SCJ be visible. In the current study population, we found that the Fig. 3 Effect of image capture method on cervical appearance and limitation of visual triage method. a. Cervical images of the same cervix showing histopathologic