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Evaluation of 'RUS NE' in Robot-Assisted Partial Nephrectomy: Efficacy, Safety, and Stability (HTK_002)

H

Hutom

Status

Not yet enrolling

Conditions

Surgical Navigation Systems
Robot-assisted Urological Surgery
Renal Mass
Kidney Neoplasm
Nephrectomy

Treatments

Device: RUS NE

Study type

Interventional

Funder types

Other
Industry

Identifiers

NCT06945640
2025-0278
A20250116 (Other Grant/Funding Number)

Details and patient eligibility

About

This study is a retrospective and prospective comparative study evaluating the efficacy, safety, and stability of the surgical navigation system 'RUS NE' in robot-assisted partial nephrectomy. The study aims to compare intraoperative and postoperative clinical indicators between the experimental group and the control group to verify the clinical effectiveness and stability of RUS NE. This research is conducted as part of the 2025 Corporate Verification Support Project of the Global Innovative Medical Technology Verification Support Center at Asan Medical Center (ARIS Project Number: A20250116) and is supported by the Korea Health Industry Development Institute's healthcare technology research and development program.

Full description

  1. Study Objectives

  2. Efficacy Evaluation: Comparison of resection volume, operative time, and blood loss between the experimental group (RUS NE-assisted) and the control group (standard procedure).

    o Analysis of whether RUS NE facilitates accurate tumor localization to minimize resection margins.

  3. Stability Evaluation: Validation of CT turn-around time, accuracy of 3D image reconstruction, and system functionality.

    • Assessment of the device's reliability and stability in a real surgical environment.
  4. Study Methods

    • Study Design: Retrospective and prospective, single-center, comparative study.

    • Study Population: Patients scheduled for robot-assisted partial nephrectomy.

    • Study Period: From IRB approval to December 31, 2025.

      • Sample Size: 80 patients (20 in the experimental group, 60 in the control group).
      • Control group selection: Propensity Score Matching (1:3) applied to match previously treated patients.
  5. Study Endpoints Primary Endpoint: Resection volume: To assess renal function preservation. Secondary Endpoints: Operative time, stage-specific time, blood loss, hospital stay, and postoperative complications.

Stability Evaluation: CT turn-around time, accuracy of 3D modeling, and adequacy of vascular and tumor reconstruction.

Enrollment

80 estimated patients

Sex

All

Ages

20 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria

[Experimental Group]

  1. Patients diagnosed with renal cancer scheduled for robot-assisted partial nephrectomy using the RUS system, aged between 20 and 80 years.
  2. Patients who voluntarily consent to participate in this clinical trial and sign the written informed consent form.
  3. Patients with a renal tumor measuring ≤10 cm in maximum diameter on preoperative CT imaging.
  4. Patients with a RENAL Nephrometry Score between 4 and 12.

[Control Group]

  1. Patients diagnosed with renal cancer who underwent robot-assisted partial nephrectomy using the standard surgical method at the institution between January 1, 2020, and January 23, 2025.
  2. Patients aged between 19 and 79 years.
  3. Patients with a renal tumor measuring ≤10 cm in maximum diameter on preoperative CT imaging.
  4. Patients with a RENAL Nephrometry Score between 4 and 12.

Exclusion Criteria [Experimental Group]

  1. Patients who do not consent to participate in the clinical trial.
  2. Patients whose CT examination does not follow the required protocol for image analysis.
  3. Patients with a history of abdominal surgery likely to cause severe adhesions.
  4. Patients with a solitary kidney or horseshoe kidney as identified on preoperative CT.
  5. Patients scheduled for bilateral nephrectomy.
  6. Patients requiring simultaneous resection of other organs in addition to nephrectomy.
  7. Patients with a history of abdominal surgery where severe adhesions are expected based on the investigator's judgment.
  8. Patients with severe renal dysfunction at the time of screening (serum creatinine level ≥1.5 times the upper limit of normal for the study site) or CKD stage 3 (eGFR <60).
  9. Patients classified as ASA (American Society of Anesthesiologists Physical Status Classification) IV-VI.
  10. Patients with a history of psychiatric disorders, alcohol abuse, or other conditions that, in the investigator's judgment, make clinical trial participation inappropriate.
  11. Patients who have participated in or are scheduled to participate in another clinical trial (medical device or pharmaceutical) within four weeks prior to screening.
  12. Patients deemed unsuitable for clinical trial participation at the investigator's discretion.
  13. Patients whose CT images are not suitable for generating 3D images for use with the investigational medical device.

[Control Group]

  1. Patients whose CT data are unavailable.
  2. Patients with a history of abdominal surgery with expected or confirmed severe adhesions.
  3. Patients with a solitary kidney or horseshoe kidney.
  4. Patients who have undergone bilateral nephrectomy.
  5. Patients who have undergone simultaneous resection of other organs in addition to nephrectomy.
  6. Patients with renal dysfunction (serum creatinine level ≥1.5 times the upper limit of normal for the study site) or CKD stage 3 (eGFR <60).

Trial design

Primary purpose

Treatment

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

80 participants in 2 patient groups

RUS NE Group
Experimental group
Description:
Individuals undergo robot-assisted partial nephrectomy using RUS NE
Treatment:
Device: RUS NE
Standard Surgery Group
No Intervention group
Description:
Individuals undergo robot-assisted partial nephrectomy without using RUS NE. The individuals of this group were selected from the historical group.

Trial contacts and locations

1

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Central trial contact

Cheryn Song M.D.,Ph.D.

Data sourced from clinicaltrials.gov

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