A Diagnostic Nomogram for Predicting Vaginal Invasion in Cervical Cancer
ConditionCervix Carcinoma
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age18-80
SponsorFujian Cancer Hospital
About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
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.
Disqualifiers
Accompanied with other tumors;
Accompanied with chronic infectious and immune diseases;
Incomplete clinical data.
Trial population
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.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
no intervention
Other interventionno intervention
Treatment groups
100 Participants
are divided into 1 treatment groupGroup A: cervical cancer treated with surgery1 intervention
Trial outcomes
Primary outcomes
1
vaginal invasion
100 cervical cancer patients who underwent radical hysterectomy (RH) with bilateral pelvic lymphadenectomy were pathologically assessed for vaginal invasion. The primary outcome is vaginal invasion or no-vaginal invasion. Pathological vaginal invasion is defined as cervix tumor disruption of the vaginal wall.
Time frame
7 days after surgerySponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: