Renal tumor renal tumor, renal cancer
Conditions
Interventions
[VR group]
1) The DICOM image created from the preoperative contrast-enhanced CT is read into the medical imaging software Ziostation, and the radiological technologist (co-researcher Ohashi) builds a
Sponsors
Okada Atsushi
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: (1) Patients diagnosed with cT1 renal tumor (tumor diameter less than 70mm) considered suitable for RAPN surgery (2) Age between 20 and 80 on the date of obtaining consent (3) ECOG Performance Status (PS) is 0, 1 or less (4) Patients who have given informed consent in writing
Exclusion criteria
Exclusion criteria: (1) Patients for whom preoperative contrast-enhanced CT is difficult due to allergies or decreased renal function (2) In addition, patients who are judged to be inappropriate as research subjects by the research director (co-investigator)
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Trifecta achievement rate ((1) Negative margins, (2) WIT within 25 minutes, (3) No perioperative complications) | — |
Secondary
| Measure | Time frame |
|---|---|
| Change in Cre, change in hemoglobin, change in CRP, change in urinary red blood cell count/white blood cell count Comparison of operation time, console time, console time, time from robot operation start to artery/tumor identification, and bleeding volume Trends in responses from surgeons using questionnaire items regarding the usefulness of VR | — |
Contacts
Public ContactAtsushi Okada
Nagoya City University Graduate School of Medical Sciences
Outcome results
None listed