Laparoscopic Ultrasound Examination: Analysis of Feasibility
This is a prospective cohort study to assess the feasibility of the laparoscopic ultrasound examination, directly by surgeons, during minimally invasive gynaecological surgery.

The secondary aims are to examine the learning curve for laparoscopic ultrasound examination and the performance score in obtaining high quality ultrasound images of anatomical parameters by a team of 5 gynecological laparoscopic fellows. The patients' medical history and symptoms will also be recorded to define whether these clinical data can influence the failure rate. With advanced technology, the conventional workflow can be simplified by using laparoscopic ultrasound probes directly by surgeons, to utilize the hospital resources efficiently and to reduce operating times. In this regard, we would like to demonstrate that the application of laparoscopic examination is feasible and easy to learn by surgeons. This innovative technique could open up multiple diagnostic and therapeutic opportunities for the patient, providing potential clinical information useful to the surgeon.
- EligibilityCriteria: Inclusion Criteria:  Fellow surgeons with EFSUMB level 1 experience of ultrasound in gynecology. Women affected by gynecological pathologies undergoing elective laparoscopic surgery such as endometrial cancer, cervical cancer at early stage, or benign pathologies. All women will be required to sign written informed consent to enter the study.  Exclusion Criteria:  Patients affected by gynaecological pathologies undergoing emergency surgeries. Refusal to sign written informed consent. Patients with previous hysterectomy or salpingo-oophorectomy. Uterus and adnexa not visualised at LPS examination. - HealthyVolunteers: Accepts Healthy Volunteers - Gender: Female - StdAgeList: Child, Adult, Older Adult - StudyPopulation: Eligible population includes 5 fellow surgeons with EFSUMB level 1 experience of ultrasound in gynecology (11) and 150 women satisfying inclusion criteria - SamplingMethod: Probability Sample