Analysis and Optimization of Predictive and Therapeutic Models in Uterine Neoplasms

University Hospital Tuebingen

Status: Enrolling

Conditions: Uterine Neoplasms

Treatments: Diagnostic Test: uterine neoplasms

Study type: Observational

Funder types: Other

Identifiers

NCT03624712

ZGynO_DENOVA

Details and patient eligibility

About

Evaluation of clinical, therapeutic and prognostic relevance of new experimental results as well as optimization of therapeutic models and development of a new algorithm for therapeutic plan and therapy in patients with uterine neoplasm

Enrollment: 580 estimated patients

Sex: Female

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Confirmed uterine malignancy ( cervical cancer, endometrial cancer, sarcoma)
• If operable: surgical primary therapy: laparoscopic/robot-assisted or open radical gyneco-oncological surgery
• Written consent
• Willingness and ability to participate in all study-specific procedures
• Age ≥ 18 years

Exclusion criteria

• Severe and acute general disease in the last 4 weeks
• Acute or chronic psychiatric disorders
• Other factors questioning study participation (e.g. acute psychosocial stress, insufficient understanding of nature and consequences of the study, inadequate skills of the German language)

Trial design

580 participants in 1 patient group

uterine neoplasms

Description:

Women with operable and inoperable uterine malignomas (cervical cancer, endometrial cancer, uterine sarcoma)

Treatment:

Diagnostic Test: uterine neoplasms