Background: High-risk human papillomavirus (hrHPV) testing has higher sensitivity but lower specificity than cytology for cervical (pre)-cancerous lesions. Therefore, triage of hrHPV-positive women is needed in cervical cancer screening.

Methods: A cohort of 1,100 hrHPV-positive women, from a population-based screening trial (POBASCAM: n = 44,938; 29–61 years), was used to evaluate 10 triage strategies, involving testing at baseline and six months with combinations of cytology, HPV16/18 genotyping, and/or repeat hrHPV testing. Clinical endpoint was cervical intraepithelial neoplasia grade 3 or worse (CIN3+) detected within four years; results were adjusted for women not attending repeat testing. A triage strategy was considered acceptable, when the probability of no CIN3+ after negative triage (negative predictive value, NPV) was at least 98%, and the CIN3+ risk after positive triage (positive predictive value, PPV) was at least 20%.

Results: Triage at baseline with cytology only yielded an NPV of 94.3% [95% confidence interval (CI), 92.0–96.0] and a PPV of 39.7% (95% CI, 34.0–45.6). An increase in NPV, against a modest decrease in PPV, was obtained by triaging women with negative baseline cytology by repeat cytology (NPV 98.5% and PPV 34.0%) or by baseline HPV16/18 genotyping (NPV 98.8% and PPV 28.5%). The inclusion of both HPV16/18 genotyping at baseline and repeat cytology testing provided a high NPV (99.6%) and a moderately high PPV (25.6%).

Conclusions: Triaging hrHPV-positive women by cytology at baseline and after 6 to 12 months, possibly in combination with baseline HPV16/18 genotyping, seems acceptable for cervical cancer screening.

Impact: Implementable triage strategies are provided for primary hrHPV screening in an organized setting. Cancer Epidemiol Biomarkers Prev; 23(1); 55–63. ©2013 AACR.

See related editorial by Harper and Groner, p. 10

This article is featured in Highlights of This Issue, p. 1

Cervical cancer develops through several intermediate steps, and cervical cancer prevention strategies exploit this knowledge by the timely identification and treatment of cervical intraepithelial neoplasia (CIN). The usual threshold for therapeutic intervention is CIN grade 2 (CIN2) or worse (CIN2+); however, the histologic diagnosis of CIN2 is imprecise (1), and CIN2 often regresses (2, 3). Therefore, many argue that the risk of having or developing CIN grade 3 or worse (CIN3+) should form the basis of cervical cancer prevention strategies (2, 4, 5).

Previously, randomized controlled trials and population-based cohort studies have shown that a negative high-risk human papillomavirus (hrHPV) DNA test carries a low risk (<2%) for CIN3+, for even up to 5 years (5–11).

In addition, several studies have shown that primary hrHPV screening is more sensitive than cytology for detecting CIN2/3 lesions (6, 7, 12–17), and cervical cancer (9, 11, 18), but is less specific (2.5%–4%), and the resulting decreased positive predictive value (PPV) for CIN3+ may lead to overreferral and overtreatment of patients (15). Thus, management of hrHPV screen–positive women remains a clinical dilemma (5).

Epidemiologic studies have indicated that detection of HPV16, HPV18, or both might be used to identify women with an increased risk for CIN3+ (6, 10, 19). The results from the ATHENA trial also support the use of HPV16/18 genotyping, as positivity for these hrHPV types was associated with an increased CIN3+ risk in women with normal cytology (20, 21). This is in line with the final results of the POBASCAM study (9), showing that the protective effect of HPV testing against CIN3+ in the subsequent screening round, was largely attributable to the timely identification and treatment of HPV16-positive lesions in the baseline round. Yet, in a recent hrHPV screening trial (22), direct triage with cytology and repeat cytology testing at 12 months emerged as a suitable implementation strategy. Thus, there is no consensus on the best way to manage hrHPV DNA–positive women.

Here, we performed an analysis of data from a recently completed population-based randomized controlled trial (POBASCAM), in which, 44,938 women between 29 and 61 years of age were enrolled. Our study's aim was to evaluate triage strategies based on hrHPV genotyping and cytology, with regard to CIN3+ detected within 4 years, to provide directives on how to manage hrHPV DNA–positive women in the setting of nationwide cervical cancer screening.

Study population

We evaluated the data from the population-based screening study Amsterdam (POBASCAM; trial registration ID NTR218). The study design and results have been published elsewhere (6, 9, 23). Briefly, women between 29 and 61 years of age were invited to participate in cervical screening and were randomized, either to a conventional cytology–based control arm, or to the intervention arm, in which women were managed on the basis of cytology plus hrHPV DNA test results (both scored blinded for each other). In total, 44,938 women were enrolled, of whom 22,420 were randomized to the intervention arm, and evaluation of this cohort forms the basis of this study (Fig. 1).

Figure 1.

Flow diagram of POBASCAM intervention arm, depicting the baseline and follow-up results after 4 years.

Figure 1.

Flow diagram of POBASCAM intervention arm, depicting the baseline and follow-up results after 4 years.

Close modal

A group of 242 family practitioners participated in POBASCAM. They collected samples for cytology using a Rovers Cervex-Brush or a cytobrush. After preparing a conventional cytology smear, the brush was placed in a vial containing collection medium for hrHPV testing.

Management

The management of combined cytology and hrHPV DNA results at baseline has been described previously (6, 9). In short, all hrHPV-positive women with moderate dyskaryosis or worse (>BMD, borderline or mild dyskaryosis) cytology, corresponding to high-grade squamous intraepithelial lesions in the Bethesda system (TBS; ref. 24), were directly referred for colposcopy. Of note, hrHPV-positive women with borderline or mild dyskaryosis (BMD) cytology at baseline were advised to repeat cytology and hrHPV testing at 6 and 18 months. These women were referred for colposcopy at 6 months, if they had >BDM cytology, or BMD cytology in combination with an hrHPV-positive test result, whereas they were referred at 18 months if they had >BMD cytology and/or an hrHPV-positive test result. Women with normal cytology at baseline were also advised to repeat cytology and hrHPV testing at 6 and 18 months. They were referred at 6 months if they had >BMD cytology, and were referred at 18 months if they had >BMD cytology and/or a positive hrHPV test result.

Colposcopy and histology

Colposcopy-guided biopsies of the cervix were taken by gynecologists according to the guideline of the Dutch Society of Obstetrics and Gynaecology (Utrecht, the Netherlands; ref. 25). Histologic biopsies were only taken when cervical abnormalities were seen. Histologic follow-up was obtained from 4 participating laboratories, and data were also tracked through the nationwide pathology database [Pathologisch Anatomisch Landelijk Geautomatiseerd Archief (PALGA); ref. 26], with a follow-up time of 78 months. Histology was examined locally and classified as normal, CIN grade 1, 2, and 3, or invasive cancer according to international criteria (27). Adenocarcinoma in situ was included in the CIN grade 3 group. To account for variations around the targeted screening interval length of 5 years, CIN or cancer cases detected during the first 48 months were labeled as cases detected at the baseline round, whereas CIN3+ cases detected at a later time were labeled as detected at the subsequent screening round (9). Treatment of abnormalities was according to protocols (25).

hrHPV testing

All hrHPV tests (GP5+/6+-PCR EIA) were carried out in duplicate in the Department of Pathology at VU University Medical Center (Amsterdam, the Netherlands), without knowledge of cytology results, as described previously (23, 28). hrHPV-positive samples were subsequently typed, using a previously published reverse line blot assay (29).

Statistical analysis

Ten triage strategies were evaluated, and analyses of our data were performed for disease endpoints of CIN3+ and CIN2+, cumulatively detected at 48 months. The primary endpoint was CIN3+. Sensitivity, specificity, negative predictive value (NPV), PPV, and colposcopy referral rates were computed together with two-tailed 95% confidence intervals (CI) using the Wilson score method (30). SPSS software version 15.0 (LEAD Technologies Inc.) and Excel (Microsoft Corporation) were used. A time window of 48 months was chosen, because it allows sufficient time for follow-up investigations within one round and does not include CIN detected after the next screening invitation.

Cytology was dichotomized, and a positive cytology result was considered as BMD or worse (BMD+), which corresponds to atypical squamous cells of undetermined significance or worse in the Bethesda 2001 nomenclature. Time to first follow-up, expressed in months, was calculated along with the mean, maximum, minimum, and SD. Women who were colposcopically verified at baseline, or who had at least one repeat visit with complete test results, were included. To correct for loss to follow-up, observed proportions in cases with follow-up were applied to cases with missing data. Of note, 95% CIs were calculated using corrected proportions, but using only directly observed cases for sample size values. To judge the performance of triage strategies, we defined acceptability thresholds for NPV and PPV for CIN3+. We considered a triage strategy as acceptable when the probability of no CIN3+ (cumulatively detected within 48 months) after negative triage (NPV) was at least 98%, and the CIN3+ risk after positive triage (PPV) was at least 20%. The threshold for NPV was based on the current CIN3+ risk of women with BMD at baseline, and normal cytology at 6 and 18 months follow-up (1.2%), which is presently accepted in the Netherlands (31). Furthermore, we considered a PPV of 20% as acceptable, as this would translate into a chance of one in five to detect high-grade CIN among referred women.

Characteristics of the POBASCAM intervention arm

In the POBASCAM intervention arm, 1,100 women were hrHPV-positive, and in Fig. 1 baseline and follow-up results are presented. Histology was available for 194 (58%) of the 336 women with abnormal cytology (BMD+) at baseline, cumulative after one screening round (4 years). Furthermore, 510 of 764 women with normal baseline cytology attended at least one repeat visit of hrHPV and cytology cotesting, with an average time after baseline of 8.75 months and a SD of 3.96. The minimum follow-up time in the screening round was 0 months (a single case), and the maximum time was 30 months. Histology was available for 110 (22%) of these women after 4 years.

The age distribution of the cohort and the numbers of detected CIN3+ and CIN2+ per age group are shown in Table 1.

Table 1.

Age distribution of hrHPV-positive women (n = 1,100) and CIN2+ and CIN3+ detected within 4 years

hrHPV-positive baseline4 Years
Age, yN%CIN2+%CIN3+%
29–33 372 34 83 37 58 39 
34–38 312 28 71 32 39 26 
39–43 136 12 29 13 23 16 
44–48 96 20 14 
49–53 77 
54–58 64 
59–61 43 
Total 1,100 100 223 100 148 100 
hrHPV-positive baseline4 Years
Age, yN%CIN2+%CIN3+%
29–33 372 34 83 37 58 39 
34–38 312 28 71 32 39 26 
39–43 136 12 29 13 23 16 
44–48 96 20 14 
49–53 77 
54–58 64 
59–61 43 
Total 1,100 100 223 100 148 100 

Strategies to triage hrHPV-positive women

The performances of three baseline triage strategies, without a follow-up test, are shown in Table 2. Triage of hrHPV-positive women at baseline, with cytology only, yielded an NPV for CIN3+ of 94.3%, clearly below our threshold of 98%, and therefore this strategy was not deemed acceptable. Baseline cytology testing combined with HPV16 genotyping met the NPV and PPV thresholds, with an NPV of 98.1% and a PPV of 30.5%. The sensitivity and specificity for detection of CIN3+ were 94.1% and 58.8%, respectively. The colposcopy referral rate was 49.7% of the hrHPV positives, translating into a referral rate of 2.49% of women in the POBASCAM intervention arm. Results for baseline cytology testing combined with HPV16 and HPV18 genotyping were similar, although the NPV was slightly higher (98.8%), the PPV was slightly lower (28.5%), sensitivity and referral rate were moderately higher, and the specificity was lower.

Table 2.

Sensitivity, specificity, NPV, PPV, and colposcopy referral rate of three baseline triage strategies; CIN2+ and CIN3+ cases detected within 4 years were included

Endpoint CIN3+Endpoint CIN2+Total screening population
Baseline triage strategySensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Sensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Colposcopy referral rate (95% CI)Colposcopy referral rate (95% CI)
I. Cytology 75.4% (67.9–81.7) 78.0% (74.6–81.1) 94.3 (92.0–96.0) 39.7% (34.0–45.6) 66.0% (59.6–71.9) 81.4% (78.0–84.4) 87.96% (84.5–90.2) 54.5% (48.5–60.4) 30.5% (27.5–33.7) 1.53% (1.38–1.69) 
II. Cytology/HPV16 94.1% (89.1–96.9) 58.8% (54.9–62.6) 98.1% (96.2–99.1) 30.5% (26.2–35.1) 86.1% (80.9–90.0) 62.6% (58.5–66.5) 93.0% (90.0–95.2) 43.8% (39.0–48.6) 49.7% (46.5–53.0) 2.49% (2.33–2.65) 
III. Cytology/HPV16/18 96.6% (92.3–98.5) 53.6% (49.7–57.5) 98.8% (97.0–99.5) 28.5% (24.4–32.8) 90.3% (85.7–93.5) 57.6% (53.3–61.7) 94.6% (91.7–96.6) 41.8% (37.3–46.6) 54.5% (51.2–57.6) 2.73% (2.56–2.88) 
Endpoint CIN3+Endpoint CIN2+Total screening population
Baseline triage strategySensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Sensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Colposcopy referral rate (95% CI)Colposcopy referral rate (95% CI)
I. Cytology 75.4% (67.9–81.7) 78.0% (74.6–81.1) 94.3 (92.0–96.0) 39.7% (34.0–45.6) 66.0% (59.6–71.9) 81.4% (78.0–84.4) 87.96% (84.5–90.2) 54.5% (48.5–60.4) 30.5% (27.5–33.7) 1.53% (1.38–1.69) 
II. Cytology/HPV16 94.1% (89.1–96.9) 58.8% (54.9–62.6) 98.1% (96.2–99.1) 30.5% (26.2–35.1) 86.1% (80.9–90.0) 62.6% (58.5–66.5) 93.0% (90.0–95.2) 43.8% (39.0–48.6) 49.7% (46.5–53.0) 2.49% (2.33–2.65) 
III. Cytology/HPV16/18 96.6% (92.3–98.5) 53.6% (49.7–57.5) 98.8% (97.0–99.5) 28.5% (24.4–32.8) 90.3% (85.7–93.5) 57.6% (53.3–61.7) 94.6% (91.7–96.6) 41.8% (37.3–46.6) 54.5% (51.2–57.6) 2.73% (2.56–2.88) 

Lowering the endpoint threshold from CIN3+ to CIN2+ yielded 5% to 10% lower sensitivities for all strategies without repeat HPV DNA testing at 6 months. The clinical relevance of those extra-detected CIN2 cases is not clear (Table 2). Within the subgroup of women with negative cytology and a positive HPV16/18 genotyping test result at baseline, the PPV was 14.3% (95% CI, 9.5%–20.4%), which is about twice as low as the PPV in women with abnormal cytology and a positive HPV16/18 result. Seven triage strategies, combining baseline testing with one round of follow-up at 6 months, were evaluated (Table 3). All of these strategies had estimated NPVs for CIN3+ risk above 98%. The PPV estimates ranged from 20.0% to 34.0%, and colposcopy referral rates varied between 44.8% and 80.3% of hrHPV positives, corresponding with referral rates between 2.24% and 4.02% in the total intervention arm.

Table 3.

Sensitivity, specificity, NPV, PPV, colposcopy referral rate, and mean number of repeat tests of seven strategies with baseline triage and repeat testing at 6 months; CIN2+ and CIN3+ cases detected within 4 years were included

Endpoint CIN3+Endpoint CIN2+Total screening population
Baseline triage testRepeat test (t = 6 months)Sensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Sensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Repeat test (95% CI)Colposcopy referral rate (95% CI)Colposcopy referral rate (95% CI)
IV. Cytology HPV 100% (97.5–100) 34.1% (30.6–38.0) 100.0% (98.2–100) 22.5% (19.3–26.2) 98.8% (96.5–97.7) 38.1% (34.1–42.2) 99.1% (96.6–99.7) 35.0% (31.2–39.0) 69.5% (66.7–72.1) 71.3% (68.1–74.2) 3.57% (3.41–3.71) 
V. Cytology Cytology 94.9% (90.1–97.5) 64.7% (60.9–68.4) 98.5% (96.8–99.3) 34.0% (29.4–39.0) 89.2% (84.5–92.6) 70.1% (62.2–78.8) 95.1% (95.5–96.8) 50.2% (45.1–55.2) 69.5% (66.7–72.1) 44.8% (41.5–48.2) 2.24% (2.08–2.41) 
VI. Cytology Cytology/HPV 100.0% (97.5–100) 32.0% (24.8–35–7) 100% (98.1–100) 22.0% (18.8–25.5) 99.5% (97.4–99.9) 35.7% (31.8–39.9) 99.5% (97.2–99.9) 34.3% (30.6–38.3) 69.5% (66.7–72.1) 73.2% (70.1–76.0) 3.66% (3.51–3.80) 
VII. Cytology/HPV16 Cytology 98.3% (94.7–99.5) 49.5% (45.6–53.3%) 99.4% (97.7–98.8) 27.2% (23.4–31.4) 95.2% (91.5–97.3) 54.3% (50.1–58.4) 97.1% (94.6–98.5) 41.3% (37.0–45.8) 50.3% (47.3–53.2) 58.2% (55.0–61.4) 2.91% (2.75–3.07) 
VIII. Cytology/HPV16 Cytology/HPV 100.0% (97.5–100) 25.0% (21.7–28.5) 100% (97.6–100) 20.4% (17.4–23.7) 99.5% (97.4–99.9) 27.9% (24.3–31.7) 99.4% (96.4–99.9) 31.8% (28.3–35.6) 50.3% (47.3–53.2) 79.1% (76.3–81.6) 3.96% (3.82–4.08) 
IX. Cytology/HPV16/18 Cytology 99.2% (96.0–98.8) 45.0% (41.2–48.9) 99.6% (98.0–99.9) 25.6% (22.0–29.6) 97.85 (95.0–99.1) 50.0% (45.8–54.1) 98.6% (96.4–99.4) 39.7% (35.5–44.1) 45.5% (42.6–48.5) 62.1% (58.9–65.1) 3.11% (2.95–3.26) 
X. Cytology/HPV16/18 Cytology/HPV 100.0% (97.5–100) 23.5% (20.3–26.9) 100% (97.4–100) 20.0% (17.0–23.3) 100.0% (98.3–100) 26.4% (22.9–30.2) 100% (97.4–100) 31.4% (27.9–35.1) 45.5% (42.6–48.5) 80.3% (77.6–82.7) 4.02% (3.88–4.14) 
Endpoint CIN3+Endpoint CIN2+Total screening population
Baseline triage testRepeat test (t = 6 months)Sensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Sensitivity (95% CI)Specificity (95% CI)NPV (95% CI)PPV (95% CI)Repeat test (95% CI)Colposcopy referral rate (95% CI)Colposcopy referral rate (95% CI)
IV. Cytology HPV 100% (97.5–100) 34.1% (30.6–38.0) 100.0% (98.2–100) 22.5% (19.3–26.2) 98.8% (96.5–97.7) 38.1% (34.1–42.2) 99.1% (96.6–99.7) 35.0% (31.2–39.0) 69.5% (66.7–72.1) 71.3% (68.1–74.2) 3.57% (3.41–3.71) 
V. Cytology Cytology 94.9% (90.1–97.5) 64.7% (60.9–68.4) 98.5% (96.8–99.3) 34.0% (29.4–39.0) 89.2% (84.5–92.6) 70.1% (62.2–78.8) 95.1% (95.5–96.8) 50.2% (45.1–55.2) 69.5% (66.7–72.1) 44.8% (41.5–48.2) 2.24% (2.08–2.41) 
VI. Cytology Cytology/HPV 100.0% (97.5–100) 32.0% (24.8–35–7) 100% (98.1–100) 22.0% (18.8–25.5) 99.5% (97.4–99.9) 35.7% (31.8–39.9) 99.5% (97.2–99.9) 34.3% (30.6–38.3) 69.5% (66.7–72.1) 73.2% (70.1–76.0) 3.66% (3.51–3.80) 
VII. Cytology/HPV16 Cytology 98.3% (94.7–99.5) 49.5% (45.6–53.3%) 99.4% (97.7–98.8) 27.2% (23.4–31.4) 95.2% (91.5–97.3) 54.3% (50.1–58.4) 97.1% (94.6–98.5) 41.3% (37.0–45.8) 50.3% (47.3–53.2) 58.2% (55.0–61.4) 2.91% (2.75–3.07) 
VIII. Cytology/HPV16 Cytology/HPV 100.0% (97.5–100) 25.0% (21.7–28.5) 100% (97.6–100) 20.4% (17.4–23.7) 99.5% (97.4–99.9) 27.9% (24.3–31.7) 99.4% (96.4–99.9) 31.8% (28.3–35.6) 50.3% (47.3–53.2) 79.1% (76.3–81.6) 3.96% (3.82–4.08) 
IX. Cytology/HPV16/18 Cytology 99.2% (96.0–98.8) 45.0% (41.2–48.9) 99.6% (98.0–99.9) 25.6% (22.0–29.6) 97.85 (95.0–99.1) 50.0% (45.8–54.1) 98.6% (96.4–99.4) 39.7% (35.5–44.1) 45.5% (42.6–48.5) 62.1% (58.9–65.1) 3.11% (2.95–3.26) 
X. Cytology/HPV16/18 Cytology/HPV 100.0% (97.5–100) 23.5% (20.3–26.9) 100% (97.4–100) 20.0% (17.0–23.3) 100.0% (98.3–100) 26.4% (22.9–30.2) 100% (97.4–100) 31.4% (27.9–35.1) 45.5% (42.6–48.5) 80.3% (77.6–82.7) 4.02% (3.88–4.14) 

Baseline cytology testing, followed by repeat cytology screening for women with negative baseline cytology, had an estimated NPV for CIN3+ of 98.5%, combined with the highest estimated PPV (34.0%) and the lowest referral rate (44.8%). The sensitivity and specificity for detection of CIN3+ were 94.4% and 64.7%, respectively, and for CIN2+, these were 89.2% and 70.1%, respectively. The inclusion of HPV16/18 genotyping at baseline, whereas retaining repeat cytology testing at follow-up resulted in high NPV for CIN3+ (99.6%) at the cost of a slightly lower PPV (25.6%). In addition, the sensitivity increased to 99.2%, whereas the specificity was lower, i.e., 45.0%. For detection of CIN2+, these were 97.8% and 50.0%, respectively. The referral rate increased to 62.1% for hrHPV-positive women.

All four strategies with repeat hrHPV testing at follow-up yielded very high sensitivities (and NPVs) for both CIN3+ and CIN2+, yet specificities were much lower, i.e., all were below 35.0%. More importantly, these strategies resulted in substantially higher colposcopy referral rates (i.e., 71.3%–80.3% of hrHPV-positive women).

The NPV and PPV of the 10 triage strategies for hrHPV-positive women are graphically shown in Fig. 2.

Figure 2.

NPV and PPV for CIN3+ of the ten triage strategies for hrHPV-positive women. , triage strategy without a repeat test; , triage strategy with one round of repeat testing; bars, 95% CIs; cyto, strategy I; cyto and HPV16, strategy II; cyto and HPV16/18, strategy III; cyto + hrHPV, strategy IV; cyto + cyto, strategy V; cyto + cyto and hrHPV, strategy VI; cyto and HPV16 + cyto, strategy VII; cyto and HPV16 + cyto and hrHPV, strategy VIII; cyto and HPV16/18 + cyto, strategy IX; cyto and HPV16/18 + cyto and hrHPV, strategy X.

Figure 2.

NPV and PPV for CIN3+ of the ten triage strategies for hrHPV-positive women. , triage strategy without a repeat test; , triage strategy with one round of repeat testing; bars, 95% CIs; cyto, strategy I; cyto and HPV16, strategy II; cyto and HPV16/18, strategy III; cyto + hrHPV, strategy IV; cyto + cyto, strategy V; cyto + cyto and hrHPV, strategy VI; cyto and HPV16 + cyto, strategy VII; cyto and HPV16 + cyto and hrHPV, strategy VIII; cyto and HPV16/18 + cyto, strategy IX; cyto and HPV16/18 + cyto and hrHPV, strategy X.

Close modal

The intervention arm of the POBASCAM trial provided us with an opportunity to assess the clinical performance of triage strategies for hrHPV-positive women, in a large screening population followed for 4 years within one screening round. Ten triage strategies were evaluated, and most of these met the thresholds for NPV and PPV of 98% and 20%, respectively. The three strategies that showed the best balance between the safety of a strategy (NPV), and the burden of screening on patients and clinicians (PPV and referral rate), were (i) cytology and HPV16/18 genotyping at baseline without repeat testing, (ii) cytology at baseline with repeat cytology testing after 6 months, and (iii) cytology and HPV16/18 genotyping at baseline followed by repeat cytology examination at 6 months.

A great benefit of direct triage at baseline with cytology and HPV16/18 genotyping is the avoidance of follow-up testing, because this results in 20% to 40% loss to follow-up, particularly after normal cytology (6, 9, 32). In our study, the attendance rate at repeat testing was 77% (6, 9).

An important disadvantage of baseline triage is that the PPV is limited, indicating a considerable risk of overtreatment. The burden of screening will be especially high for HPV16/18 positives with normal cytology, as the PPV for CIN3+ in this subgroup was only 14.3%. Stated differently, 86% of these referred women will not have underlying CIN3+. Second, physicians might find it difficult to communicate the low risk of non-16, non-18 hrHPV infections to women that are triage test negative (hrHPV16/18–negative and normal cytology). Therefore, adequate education of physicians is essential when implementing this strategy.

In contrast, triage by cytology testing at baseline followed by repeat cytology at 6 months for women with normal baseline cytology is easy to communicate: hrHPV testing is used to define the risk population, whereas cytology indicates the presence of a precursor lesion. Normal cytology at baseline and at rescreening should reassure hrHPV-positive women that a return to routine screening is acceptable. Another advantage of baseline and repeat cytology testing is the low referral rate, and, in addition, the highest PPV for CIN3+ (34.0%). It should be kept in mind that, in countries with less efficient cytology screening, and thus higher cytologic abnormality rates than in the Netherlands, or in countries with more frequent screening (yearly), the PPV advantage of cytology may not hold, and therefore direct (baseline) genotyping may be considered for triage instead (ATHENA trial; ref. 20). Adding HPV16/18 genotyping to cytology testing at baseline, while retaining follow-up cytology testing, might be considered in these countries, as is the safest strategy (highest NPV), whereas the increase in referral rate is unlikely to cause capacity problems. However, the eventual triage strategy should also take into account potential overtreatment induced by the increase in referral rate.

An even more rigorous screening approach, with baseline cytology examination followed by repeat hrHPV and cytology cotesting, may not be efficient, and the PPV will be relatively low. In our study, only six CIN3+ lesions were detected within 48 months, among 208 participants with normal cytology at baseline and at follow-up, who tested persistently hrHPV-positive.

Previously, two other prospective trials have also compared strategies with triage screen-positive women following primary hrHPV DNA–based screening (22, 33). Data from our study match well with those of the Vrije Universiteit Medical Center Saltro Laboratory population-based cervical screening (VUSA)-screen study, performed in the Netherlands, in which triage by cytology testing at baseline followed by cytology at 12 months also showed the highest PPV in combination with a high NPV (22). As a result of the similar results between these studies, we believe that in the triage strategy with baseline cytology followed by cytology retesting, the time to follow-up testing can be either 6 or 12 months. A limitation of the VUSA-screen study, however, was the duration of follow-up, which was 3 years, whereas cervical screening is usually offered every 5 years in the Dutch screening program.

Furthermore, in a nested evaluation of the Swedish SWEDESCREEN study, the efficacy of 11 screening strategies was evaluated in 6,257 women cotested with hrHPV and cytology (33). That study suggested to follow-up hrHPV-positive women with normal cytology at baseline, by one repeat hrHPV DNA test. This strategy showed comparable results in terms of sensitivity for CIN3+ (96.0%), however, with somewhat lower PPV (22.0%) than obtained with the three preferred strategies in our study. Furthermore, our study indicates that implementation of the suggested strategy leads to a substantial increase in colposcopy referral rate and thus possible overtreatment. In addition, a limitation of the Swedish study was the relatively narrow age range (32–38 years) of the study participants, which makes generalizations to whole screening populations less compelling. Other trials evaluating baseline cytology triage (17, 20) have revealed substantially lower PPVs than in both studies performed in the Netherlands [i.e., the VUSA-screen study (ref. 22) and the present study]. This might be explained by the efficiency of the Dutch screening program, with an abnormal cytology rate of only 1.8% (34), a long screening interval (5-year), a high age at which screening starts (at the age of 30), and a low percentage of excess smear use (35).

Advantages of this study include the large size, the long follow-up, and the age range of study participants (30–60 years), which is the age for which screening by hrHPV testing is most widely advocated (36). Furthermore, the study is nested within a population-based screening program, indicating that results should be scalable to whole populations.

There were also limitations to the study. First, not all of 764 hrHPV positives with normal cytology at baseline returned for follow-up. In total, 510 (66.8%) completed at least one follow-up test. We corrected for loss to follow-up by extrapolating observed rates among subjects with at least one repeat test, to subjects without repeat testing. Such a procedure corrects for participants who did not attend repeat testing, but does not distinguish between complete and incomplete repeat testing. We studied this extensively and observed that an additional adjustment for incomplete repeat testing had only a minor effect on the estimates; these were therefore not presented. Second, even with correction for loss to follow-up, there is still a possibility of negative verification bias, as only 22% of the attendants ultimately had biopsy verification after 48 months. This effect is mitigated by the fact that a further 197 (38.6%) of the 510 hrHPV-positive women with normal cytology had at least one repeat visit, which showed negative cytology and hrHPV test results. Previous studies have shown that a double-negative cotest result is associated with an extremely low risk for CIN3+ (6–9, 12). Another limitation of our study was that some of the HPV16/18-positive CIN3+ lesions that were used to calculate the PPV of baseline triage with cytology and hrHPV genotyping were actually detected at follow-up, which may positively bias the PPV. Furthermore, in our study, we have solely evaluated triage strategies based on cytology, hrHPV genotyping, and combinations thereof, though, it is likely that the role of cytology becomes more limited in future screening and validated molecular biomarkers gain attention; among these, p16INK4a/Ki-67 double staining and host genome, or viral DNA methylation markers seem to be promising (37–41). These markers could also be of value, if in a particular country cytologic reading does not meet quality criteria, and adjunct testing is required. Further validation in prospective studies is needed before these tests can be considered for screening.

In summary, triaging hrHPV-positive women by cytology at baseline and repeat cytology testing after 6 to 12 months, possibly in combination with baseline HPV16/18 genotyping, seems safe and yields an acceptable colposcopy referral rate. The weights placed on safety and screening-related burden, as well as the quality of cytology in a particular country, will likely determine the eventual management of hrHPV-positive women.

D.A.M. Heideman has ownership interest (including patents) in Self-screen B.V. P. Snijders has honoraria from speakers' bureau from Roche and has ownership interest (including patents) in Self-screen B.V. C.J. Meijer has honoraria from speakers' bureau from GSK, has ownership interest (including patents) in Self-screen B.V., and is a consultant/advisory board member of Qiagen. J. Berkhof has honoraria from speakers' bureau from Qiagen. No potential conflicts of interest were disclosed by the other authors.

Conception and design: C.J.L.M. Meijer, J. Berkhof

Development of methodology: C.J.L.M. Meijer, J. Berkhof

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): D.C. Rijkaart, F.J. van Kemenade, D.A.M. Heideman, P.J.F. Snijders

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): M.G. Dijkstra, D. van Niekerk, F.J. van Kemenade, D.A.M. Heideman, P.J.F. Snijders, C.J.L.M. Meijer, J. Berkhof

Writing, review, and/or revision of the manuscript: M.G. Dijkstra, D. van Niekerk, F.J. van Kemenade, D.A.M. Heideman, P.J.F. Snijders, C.J.L.M. Meijer, J. Berkhof

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): D.A.M. Heideman, P.J.F. Snijders

Study supervision: C.J.L.M. Meijer, J. Berkhof

The authors thank research staff and technicians of the Unit of Molecular Pathology, Department of Pathology, VU University Medical Center for HPV DNA testing and genotyping, the cytotechnologists of the Spaarne ziekenhuis (Hoofddorp), Kennemer Gasthuis (Haarlem), Leiden Cytology and Pathology Laboratory (Leiden), and VU University Medical Centre (Amsterdam, the Netherlands) for cytologic testing and logistics, and the administrative workers and the information technology team of the Department of Pathology, VU University Medical Center for their supportive work.

The POBASCAM study was funded by Zorg Onderzoek Nederland (Netherlands Organization for Health Research and Development). The analyses have been part of the FP7 project PREHDICT (no. 242 061) funded by the European Committee.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Stoler
MH
,
Schiffman
M
. 
Interobserver reproducibility of cervical cytologic and histologic interpretations: realistic estimates from the ASCUS-LSIL Triage Study
.
JAMA
2001
;
285
:
1500
5
.
2.
Castle
PE
,
Schiffman
M
,
Wheeler
CM
,
Solomon
D
. 
Evidence for frequent regression of cervical intraepithelial neoplasia-grade 2
.
Obstet Gynecol
2009
;
113
:
18
25
.
3.
Moscicki
AB
,
Ma
Y
,
Wibbelsman
C
,
Darragh
TM
,
Powers
A
,
Farhat
S
, et al
Rate of and risks for regression of cervical intraepithelial neoplasia 2 in adolescents and young women
.
Obstet Gynecol
2010
;
116
:
1373
80
.
4.
Wheeler
CM
. 
Natural history of human papillomavirus infections, cytologic and histologic abnormalities, and cancer
.
Obstet Gynecol Clin North Am
2008
;
35
:
519
36
.
5.
Castle
PE
,
Sideri
M
,
Jeronimo
J
,
Solomon
D
,
Schiffman
M
. 
Risk assessment to guide the prevention of cervical cancer
.
Am J Obstet Gynecol
2007
;
197
:
356
.
6.
Bulkmans
NW
,
Berkhof
J
,
Rozendaal
L
,
van Kemenade
FJ
,
Boeke
AJ
,
Bulk
S
, et al
Human papillomavirus DNA testing for the detection of cervical intraepithelial neoplasia grade 3 and cancer: 5-year follow-up of a randomized controlled implementation trial
.
Lancet
2007
;
370
:
1764
72
.
7.
Dillner
J
,
Rebolj
M
,
Birembaut
P
,
Petry
KU
,
Szarewski
A
,
Munk
C
, et al
Long term predictive values of cytology and human papillomavirus testing in cervical cancer screening: joint European cohort study
.
BMJ
2008
;
337
:
a1754
.
8.
Cuzick
J
,
Clavel
C
,
Petry
KU
,
Meijer
CJ
,
Hoyer
H
,
Ratnam
S
, et al
Overview of the European and North American studies on HPV testing in primary cervical cancer screening
.
Int J Cancer
2006
;
119
:
1095
101
.
9.
Rijkaart
DC
,
Berkhof
J
,
Rozendaal
L
,
van Kemenade
FJ
,
Bulkmans
NW
,
Heideman
DA
, et al
Human papillomavirus testing for the detection of high-grade cervical intraepithelial neoplasia and cancer: final results of the POBASCAM randomized controlled trial
.
Lancet Oncol
2012
;
13
:
78
88
.
10.
Katki
HA
,
Kinney
WK
,
Fetterman
B
,
Lorey
T
,
Poitras
NE
,
Cheung
L
, et al
Cervical cancer risk for women undergoing concurrent testing for human papillomavirus and cervical cytology: a population-based study in routine clinical practice
.
Lancet Oncol
2011
;
12
:
663
72
.
11.
Ronco
G
,
Giorgi-Rossi
P
,
Carozzi
F
,
Confortini
M
,
Dalla
PP
,
Del
MA
, et al
Efficacy of human papillomavirus testing for the detection of invasive cervical cancers and cervical intraepithelial neoplasia: a randomized controlled trial
.
Lancet Oncol
2010
;
11
:
249
57
.
12.
Mayrand
MH
,
Duarte-Franco
E
,
Rodrigues
I
,
Walter
SD
,
Hanley
J
,
Ferenczy
A
, et al
Human papillomavirus DNA versus Papanicolaou screening tests for cervical cancer
.
N Engl J Med
2007
;
357
:
1579
88
.
13.
Naucler
P
,
Ryd
W
,
Tornberg
S
,
Strand
A
,
Wadell
G
,
Elfgren
K
, et al
Human papillomavirus and Papanicolaou tests to screen for cervical cancer
.
N Engl J Med
2007
;
357
:
1589
97
.
14.
Kitchener
HC
,
Almonte
M
,
Thomson
C
,
Wheeler
P
,
Sargent
A
,
Stoykova
B
, et al
HPV testing in combination with liquid-based cytology in primary cervical screening (ARTISTIC): a randomized controlled trial
.
Lancet Oncol
2009
;
10
:
672
82
.
15.
Ronco
G
,
Giorgi-Rossi
P
,
Carozzi
F
,
Confortini
M
,
Dalla
PP
,
Del
MA
, et al
Results at recruitment from a randomized controlled trial comparing human papillomavirus testing alone with conventional cytology as the primary cervical cancer screening test
.
J Natl Cancer Inst
2008
;
100
:
492
501
.
16.
Ronco
G
,
Brezzi
S
,
Carozzi
F
,
Dalla
PP
,
Giorgi-Rossi
P
,
Minucci
D
, et al
The new technologies for cervical cancer screening randomized controlled trial. An overview of results during the first phase of recruitment
.
Gynecol Oncol
2007
;
107
:
S230
S232
.
17.
Kotaniemi-Talonen
L
,
Nieminen
P
,
Anttila
A
,
Hakama
M
. 
Routine cervical screening with primary HPV testing and cytology triage protocol in a randomized setting
.
Br J Cancer
2005
;
93
:
862
7
.
18.
Anttila
A
,
Kotaniemi-Talonen
L
,
Leinonen
M
,
Hakama
M
,
Laurila
P
,
Tarkkanen
J
, et al
Rate of cervical cancer, severe intraepithelial neoplasia, and adenocarcinoma in situ in primary HPV DNA screening with cytology triage: randomized study within organized screening programme
.
BMJ
2010
;
340
:
c1804
.
19.
Khan
MJ
,
Castle
PE
,
Lorincz
AT
,
Wacholder
S
,
Sherman
M
,
Scott
DR
, et al
The elevated 10-year risk of cervical precancer and cancer in women with human papillomavirus (HPV) type 16 or 18 and the possible utility of type-specific HPV testing in clinical practice
.
J Natl Cancer Inst
2005
;
97
:
1072
9
.
20.
Castle
PE
,
Stoler
MH
,
Wright
TC
 Jr
,
Sharma
A
,
Wright
TL
,
Behrens
CM
. 
Performance of carcinogenic human papillomavirus (HPV) testing and HPV16 or HPV18 genotyping for cervical cancer screening of women aged 25 years and older: a subanalysis of the ATHENA study
.
Lancet Oncol
2011
;
12
:
880
90
.
21.
Wright
TC
 Jr
,
Stoler
MH
,
Sharma
A
,
Zhang
G
,
Behrens
C
,
Wright
TL
. 
Evaluation of HPV-16 and HPV-18 genotyping for the triage of women with high-risk HPV+ cytology-negative results
.
Am J Clin Pathol
2011
;
136
:
578
86
.
22.
Rijkaart
DC
,
Berkhof
J
,
van Kemenade
FJ
,
Coupe
VM
,
Hesselink
AT
,
Rozendaal
L
, et al
Evaluation of 14 triage strategies for HPV DNA-positive women in population-based cervical screening
.
Int J Cancer
2012
;
130
:
602
10
.
23.
Bulkmans
NW
,
Rozendaal
L
,
Snijders
PJ
,
Voorhorst
FJ
,
Boeke
AJ
,
Zandwijken
GR
, et al
POBASCAM, a population-based randomized controlled trial for implementation of high-risk HPV testing in cervical screening: design, methods and baseline data of 44,102 women
.
Int J Cancer
2004
;
110
:
94
101
.
24.
Bulk
S
,
van Kemenade
FJ
,
Rozendaal
L
,
Meijer
CJ
. 
The Dutch CISOE-A framework for cytology reporting increases efficacy of screening upon standardization since 1996
.
J Clin Pathol
2004
;
57
:
388
93
.
25.
Oncoline
I
. 
International guideline cervical intraepithelial neoplasia
. 
2004
.
Available from
: http://www.oncoline.nl/cervicale-intra-epitheliale-neoplasie
26.
Casparie
M
,
Tiebosch
AT
,
Burger
G
,
Blauwgeers
H
,
van de
PA
,
van Krieken
JH
, et al
Pathology databanking and biobanking in the Netherlands, a central role for PALGA, the nationwide histopathology, and cytopathology data network and archive
.
Cell Oncol
2007
;
29
:
19
24
.
27.
Anderson
MC
. 
Premalignant and malignant squamous lesions of the cervix
. In:
Fox
H
,
Wells
M
,
Haines
Taylor
, editors. 
Obstetrical and gynaecological pathology
.
New York, New York
:
Chruchill Livingstone
; 
1995
. p.
292
7
.
28.
Jacobs
MV
,
Snijders
PJ
,
van den Brule
AJ
,
Helmerhorst
TJ
,
Meijer
CJ
,
Walboomers
JM
. 
A general primer GP5+/GP6(+)-mediated PCR-enzyme immunoassay method for rapid detection of 14 high-risk and 6 low-risk human papillomavirus genotypes in cervical scrapings
.
J Clin Microbiol
1997
;
35
:
791
5
.
29.
van den Brule
AJ
,
Pol
R
,
Fransen-Daalmeijer
N
,
Schouls
LM
,
Meijer
CJ
,
Snijders
PJ
. 
GP5+/6 +PCR followed by reverse line blot analysis enables rapid and high-throughput identification of human papillomavirus genotypes
.
J Clin Microbiol
2002
;
40
:
779
87
.
30.
Wilson
EB
. 
Statistical Inference
.
Science
1926
;
63
:
289
96
.
31.
Rijkaart
DC
,
Berkhof
J
,
van Kemenade
FJ
,
Coupe
VM
,
Rozendaal
L
,
Heideman
DA
, et al
HPV DNA testing in population-based cervical screening (VUSA-Screen study): results and implications
.
Br J Cancer
2012
.
32.
Kitchener
HC
,
Almonte
M
,
Thomson
C
,
Wheeler
P
,
Sargent
A
,
Stoykova
B
, et al
HPV testing in combination with liquid-based cytology in primary cervical screening (ARTISTIC): a randomized controlled trial
.
Lancet Oncol
2009
;
10
:
672
82
.
33.
Naucler
P
,
Ryd
W
,
Tornberg
S
,
Strand
A
,
Wadell
G
,
Elfgren
K
, et al
Efficacy of HPV DNA testing with cytology triage and/or repeat HPV DNA testing in primary cervical cancer screening
.
J Natl Cancer Inst
2009
;
101
:
88
99
.
34.
Cox
T
,
Cuzick
J
. 
HPV DNA testing in cervical cancer screening: from evidence to policies
.
Gynecol Oncol
2006
;
103
:
8
11
.
35.
van der Aa
MA
,
Pukkala
E
,
Coebergh
JW
,
Anttila
A
,
Siesling
S
. 
Mass screening programmes and trends in cervical cancer in Finland and the Netherlands
.
Int J Cancer
2008
;
122
:
1854
8
.
36.
Saslow
D
,
Solomon
D
,
Lawson
HW
,
Killackey
M
,
Kulasingam
SL
,
Cain
J
, et al
American cancer society, american society for colposcopy and cervical pathology, and american society for clinical pathology screening guidelines for the prevention and early detection of cervical cancer
.
Am J Clin Pathol
2012
;
137
:
516
42
.
37.
Carozzi
F
,
Cecchini
S
,
Confortini
M
,
Becattini
V
,
Cariaggi
MP
,
Pontenani
G
, et al
Role of P16(INK4a) expression in identifying CIN2 or more severe lesions among HPV-positive patients referred for colposcopy after abnormal cytology
.
Cancer
2006
;
108
:
119
23
.
38.
Carozzi
F
,
Confortini
M
,
Dalla
PP
,
Del
MA
,
Gillio-Tos
A
,
De
ML
, et al
Use of p16-INK4A overexpression to increase the specificity of human papillomavirus testing: a nested substudy of the NTCC randomized controlled trial
.
Lancet Oncol
2008
;
9
:
937
45
.
39.
Overmeer
RM
,
Henken
FE
,
Snijders
PJ
,
Claassen-Kramer
D
,
Berkhof
J
,
Helmerhorst
TJ
, et al
Association between dense CADM1 promoter methylation and reduced protein expression in high-grade CIN and cervical SCC
.
J Pathol
2008
;
215
:
388
97
.
40.
Klaes
R
,
Friedrich
T
,
Spitkovsky
D
,
Ridder
R
,
Rudy
W
,
Petry
U
, et al
Overexpression of p16(INK4A) as a specific marker for dysplastic and neoplastic epithelial cells of the cervix uteri
.
Int J Cancer
2001
;
92
:
276
84
.
41.
Hesselink
AT
,
Heideman
DA
,
Steenbergen
RD
,
Coupe
VM
,
Overmeer
RM
,
Rijkaart
D
, et al
Combined promoter methylation analysis of CADM1 and MAL: an objective triage tool for high-risk human papillomavirus DNA-positive women
.
Clin Cancer Res
2011
;
17
:
2459
65
.

Supplementary data