| Literature DB >> 34855928 |
Sulaiya Husaiyin1, Zhen Jiao1, Kailibinuer Yimamu1, Reyilanmu Maisaidi1, Lili Han1, Mayinuer Niyazi1.
Abstract
The timely detection of precancerous lesions and early intervention can greatly reduce cervical cancer occurrence. The current study aimed to assess the diagnostic value and accuracy of different methods of cervical lesion screening. A total of 1622 females who visited the Outpatient Department of Xinjiang Uyghur Autonomous Region People's Hospital between January and December 2018 were consecutively enrolled. All participants underwent separate high-risk human papilloma virus (HR-HPV) DNA detection, ThinPrep cytology testing (TCT) and colposcopic biopsy. Their medical records were retrospectively analyzed. While considering biopsy outcomes as the gold standard, the diagnostic values of TCT, HR-HPV testing, and TCT+HR-HPV testing for cervical cancer screening were compared. The sensitivity, specificity and Youden index of each method were calculated. Among the different methods, TCT+HR-HPV testing had the highest sensitivity (89.8%), followed by TCT (79.9%) and HR-HPV testing (49.2%). The combined method also had the highest Youden value, and its screening outcomes exhibited the highest consistency with those of biopsy. In addition, the combined method had the largest area under the receiver operating characteristic (ROC) curve, which was 0.673 (0.647, 0.699), compared with any other screening method. Compared with TCT or HR-HPV testing alone, TCT+HR-HPV testing serves as a better screening method for cervical cancer and precancerous lesions.Entities:
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Year: 2021 PMID: 34855928 PMCID: PMC8638999 DOI: 10.1371/journal.pone.0260915
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart of the recruitment for this study.
Baseline information of the subjects.
| Variable | Number of patients (%) | Variable | Number of patients (%) |
|---|---|---|---|
|
|
| ||
| Han | 864 (53.3%) | Primary school or below | 230 (14.2%) |
| Uyghur | 547 (33.7%) | Middle school | 531 (32.7%) |
| Hazakh | 124 (7.6%) | College | 362 (22.3%) |
| Other nationalities | 87 (5.4%) | University or above | 499 (30.8%) |
|
|
| ||
| 0 | 188 (11.6%) | Professional woman | 825 (50.9%) |
| 1–3 | 880 (54.3%) | Housewife | 446 (27.5%) |
| 4–6 | 501 (30.9%) | Farmer | 189 (11.7%) |
| 6 or more | 53 (3.3%) | Retired | 148 (9.1%) |
|
| Student | 14 (0.9%) | |
| 0 | 255 (13.9%) |
| |
| 1–2 | 1121 (69.1%) | Urumqi | 976 (60.2%) |
| 3–4 | 206 (12.7%) | Non-Urumqi | 646 (39.9%) |
| 5 or more | 40 (2.5%) | ||
|
| |||
| Health examination | 556 (34.3%) | ||
| Abnormal leukorrhea or vaginal bleeding | 138 (8.5%) | ||
| Cervical lesions or space-occupying lesions | 535 (33.0%) | ||
| Others | 393 (24.2%) |
Analysis of the TCT outcomes and pathological examination outcomes for 1622 patients with cervical lesions.
| TCT outcome | Case number (%) | Colposcopy and pathological examination outcomes | ||||
|---|---|---|---|---|---|---|
| Normal or inflammatory | CIN-I | CIN-II | CIN-III | Cervical cancer | ||
| NILM | 498 (100%) | 345 (69.3%) | 84 (16.9%) | 41 (8.2%) | 28 (5.6%) | 0 (0.0%) |
| ASC-US | 561 (100%) | 358 (63.8%) | 88 (15.7%) | 69 (12.3%) | 46 (8.2%) | 0 (0.0%) |
| ASC-H | 173 (100%) | 49 (28.3%) | 13 (7.5%) | 89 (51.4%) | 22 (12.7%) | 0 (0.0%) |
| LSIL | 217 (100%) | 89 (41.0%) | 44 (20.3%) | 55 (25.3%) | 29 (13.4%) | 0 (0.0%) |
| HSIL | 134 (100%) | 15 (11.2%) | 4 (3.0%) | 82 (61.2%) | 18 (13.4%) | 15 (11.2%) |
| SCC | 39 (100%) | 4 (10.3%) | 5 (12.8%) | 14 (35.9%) | 7 (17.9%) | 9 (23.1%) |
| Total | 1622 (100%) | 860 (53.0%) | 238 (14.7%) | 350 (21.6%) | 150 (9.2%) | 24 (1.5%) |
Notes: NILM, no intraepithelial or malignant lesions; ASC-US, atypical squamous cells of undetermined significance; ASC-H, atypical squamous cells that cannot exclude high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade SIL; SCC, squamous cell carcinoma.
Analysis of HPV testing outcomes and pathological examination outcomes for 1622 patients with cervical lesions.
| HPV outcome | Case number (%) | Colposcopy and pathological examination outcomes | ||||
|---|---|---|---|---|---|---|
| Normal or inflammatory | CIN-I | CIN-II | CIN-III | Cervical cancer | ||
| Negative | 942 (100%) | 555 (58.9%) | 147 (15.6%) | 174 (18.5%) | 61 (6.5%) | 5 (0.5%) |
| Positive | 680 (100%) | 305 (44.9%) | 91 (13.4%) | 176 (25.9%) | 89 (13.1%) | 19 (2.8%) |
| Total | 1622 (100%) | 860 (53.0%) | 238 (14.7%) | 350 (21.6%) | 150 (9.2%) | 24 (1.5%) |
Analysis of the TCT+HPV testing and pathological examination outcomes for 1622 patients with cervical lesions.
| TCT+HPV outcome | Case number (%) | Colposcopy and pathological examination outcomes | ||||
|---|---|---|---|---|---|---|
| Normal or inflammatory | CIN-I | CIN-II | CIN-III | Cervical cancer | ||
| Negative | 477 (100%) | 399 (83.6%) | 32 (6.7%) | 21 (4.4%) | 25 (5.2%) | 0 (0.0%) |
| Positive | 1145 (100%) | 461(40.3%) | 206 (18.0%) | 329 (28.7%) | 125 (10.9%) | 24 (2.1%) |
| Total | 1622 (100%) | 860 (53.0%) | 238 (14.7%) | 350 (21.6%) | 150 (9.2%) | 24 (1.5%) |
Analysis of the screening effectiveness of different strategies for 1622 patients with cervical lesions.
| Pathology | Total | Sensitivity | Specificity | Youden index | Consistency | |||
|---|---|---|---|---|---|---|---|---|
| - | + | |||||||
| TCT | - | 345 | 153 | 498 | 79.9% | 40.1% | 20.0% | 58.8% |
| + | 515 | 609 | 1124 | |||||
| HPV | - | 555 | 387 | 942 | 49.2% | 64.5% | 13.7% | 57.3% |
| + | 305 | 375 | 680 | |||||
| TCT+HR-HPV | - | 399 | 78 | 477 | 89.8% | 46.4% | 36.2% | 66.1% |
| + | 461 | 684 | 1145 | |||||
| Total | 860 | 762 | 1622 | |||||
Fig 2Receiver operating characteristic (ROC) curves of different screening strategies for 1622 patients with cervical lesions.
The areas under the curve (AUCs) of different screening strategies for 1622 patients with cervical lesions.
| Variable(s) | AUC (95% CI) | Std. Error | Asymptotic Sig |
|---|---|---|---|
| HPV | 0.569 (0.541,0.597) | 0.014 | 0.000 |
| TCT | 0.600 (0.573,0.628) | 0.014 | 0.000 |
| TCT+HR-HPV | 0.673 (0.647,0.699) | 0.013 | 0.000 |