A Diagnostic Nomogram for Predicting Vaginal Invasion in Cervical Cancer

Fujian Provincial Cancer Hospital

Status: Not yet enrolling

Conditions: Cervix Carcinoma

Treatments: Other: no intervention

Study type: Observational

Funder types: Other

Identifiers

NCT06039982

Yang Sun

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 100 estimated patients

Sex: Female

Ages: 18 to 80 years old

Volunteers: No Healthy Volunteers

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.

Trial design

100 participants in 1 patient group

cervical cancer treated with surgery

Description:

The inclusion criteria were: (1) pathologically confirmed CC; (2) FIGO stage IB-IIA according to the result of physical examination and imaging; (3) abdominal MRI was performed within three weeks before surgery. Exclusion criteria were: (1) accompanied with other tumors. (2) with chronic infectious disease. (3) incomplete clinical data.

Treatment:

Other: no intervention