JRCT ID: jRCT1042220055
Registered date:17/08/2022
VR simulation study of robot-assisted partial nephrectomy (RAPN)
Basic Information
Recruitment status | Pending |
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Health condition(s) or Problem(s) studied | Renal tumor |
Date of first enrollment | 17/08/2022 |
Target sample size | 80 |
Countries of recruitment | |
Study type | Interventional |
Intervention(s) | [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 an STL (Stereolithography) file for each anatomical part. Patient personal information is de-anonymized at this point. 2) Create a patient-specific VR image by uploading these data to the medical VR creation site Holoeyes (https://xr.holoeyes.jp/). 3) Using immersive VR goggles, place a virtual port line from the positional relationship of the bone, renal parenchyma, renal tumor, resection margin, renal artery and vein, renal pelvis, etc. in the VR space, and place the rib and the point where this line passes through the skin. Measure the distance from the ilium in VR space. 4) Under general anesthesia, mark the position of the skin port measured by VR on the body. Using that position as a guide, construct a port. At this time, if the operator determines that the port position determined by the VR is not appropriate in the actual surgical field, the port position determined by the VR is not always adhered to. However, in this case as well, the VR group is used because the port is created by grasping the positional relationship of the tumor and the anatomical organs of each patient using VR. [Control group] 1) Perform RAPN under general anesthesia with reference only to preoperative contrast-enhanced CT image information. As for the port position, select the most suitable site based on the operator's experience. |
Outcome(s)
Primary Outcome | Trifecta achievement rate ((1) Negative margins, (2) WIT within 25 minutes, (3) No perioperative complications) |
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Secondary Outcome | 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 |
Key inclusion & exclusion criteria
Age minimum | >= 20age old |
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Age maximum | <= 80age old |
Gender | Both |
Include 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 |
Exclude 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) |
Related Information
Primary Sponsor | Okada Atsushi |
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Secondary Sponsor | |
Source(s) of Monetary Support | Japanese Society of Endourology and Robotics |
Secondary ID(s) |
Contact
Public contact | |
Name | Atsushi Okada |
Address | 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya-city, Aichi, Japan Aichi Japan 467-8601 |
Telephone | +81-52-853-8266 |
a-okada@med.nagoya-cu.ac.jp | |
Affiliation | Nagoya City University Graduate School of Medical Sciences |
Scientific contact | |
Name | Atsushi Okada |
Address | 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya-city, Aichi, Japan Aichi Japan 467-8601 |
Telephone | +81-52-853-8266 |
a-okada@med.nagoya-cu.ac.jp | |
Affiliation | Nagoya City University Graduate School of Medical Sciences |