This study aims to develop a diagnostic nomogram based on clinical factors with the prediction values of vaginal invasion in cervical cancer to optimize the treatment plan and surgical procedures.

Vaginal invasion is a crucial index participant in cervical cancer tumor staging and prognosis prediction. However, the roles of vaginal invasion are overlooked in the literature, compared with those of lymph node metastasis and parametrial invasion. As far as we know, this study is novel to construct a nomogram to predict the probability of pathologic vaginal invasion occurrence.

Inclusion Criteria:

• Pathologically confirmed cervical cancer;
• FIGO2018 stage IB-IIA according to the result of physical examination and images;
• No preoperative treatment before surgery;
• Abdominal MRI is performed within three weeks before surgery. Blood routine, biochemistry, blood tumor markers and coagulation function were examined within 1 week before surgery.
• All patients undergo radical hysterectomy (RH) with bilateral pelvic lymphadenectomy or paraaortic lymph node dissection.

Exclusion Criteria:

• Accompanied with other tumors;
• Accompanied with chronic infectious and immune diseases;
• Incomplete clinical data.

we collect the medical data of cervical cancer patients in Fujian Cancer Hospital. All patients received a standardized staging evaluation before radical hysterectomy with bilateral pelvic lymphadenectomy, preoperative laboratory tests, abdominal MRI/CT, and thoracic CT.