Figures & data
Figure 1 Clinical characteristics of the enrolled patients. (A) Age distribution. (B) Cytology result. (C) HPV infection status. (D) Distribution of transformation zone type.
![Figure 1 Clinical characteristics of the enrolled patients. (A) Age distribution. (B) Cytology result. (C) HPV infection status. (D) Distribution of transformation zone type.](/cms/asset/ae9e30e3-8dce-4258-bf52-ba484caae83f/djwh_a_12171434_f0001_b.jpg)
Table 1 Correlation Between Colposcopy Impression, CDB&ECC and Conization
Table 2 Diagnostic Value of Cytology Under Different Criteria in Detecting Pathologic Cervical Cancer
Table 3 Detailed Results of the “Three-Step” Screening Procedure of Occult Cervical Cancer Patients
Figure 2 Binary logistic regression results to identify risk factors for HSIL+ patients.
![Figure 2 Binary logistic regression results to identify risk factors for HSIL+ patients.](/cms/asset/030ed6db-d888-4880-b7c3-15eeaab2142b/djwh_a_12171434_f0002_b.jpg)
Figure 3 (A) Distribution of the transformation zone in patients with different grades of cervical lesions. (B) Difference in length proportion of cervical cone excision between cervical cancer patients and HSIL patients. *Significant difference between two groups (P < 0.05). (C) ROC curve of the length proportion of cervical cone excision in detecting cervical cancer.
![Figure 3 (A) Distribution of the transformation zone in patients with different grades of cervical lesions. (B) Difference in length proportion of cervical cone excision between cervical cancer patients and HSIL patients. *Significant difference between two groups (P < 0.05). (C) ROC curve of the length proportion of cervical cone excision in detecting cervical cancer.](/cms/asset/c7db4054-fa70-473d-8104-a6e2d96ef8b4/djwh_a_12171434_f0003_c.jpg)