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A prospective cohort study of artificial intelligence-based automatic 3D reconstructive surgical navigation for partial nephrectomy in renal carcinoma

A prospective cohort study of artificial intelligence-based automatic 3D reconstructive surgical navigation for partial nephrectomy in renal carcinoma

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400084421
Enrollment
Unknown
Registered
2024-05-16
Start date
2024-07-01
Completion date
Unknown
Last updated
2024-05-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

kidney cancer

Interventions

treatment group:Using automated CT 3D reconstruction software for renal cancer
control group:NOT using automated CT 3D reconstruction software for renal cancer

Sponsors

Zhongshan Hospital, Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: ? Patients aged between 18 and 75 years old, both male and female; (2) Patients diagnosed with renal cancer by imaging, according to international diagnostic criteria (CT, MRI, ultrasound); ? The patient has the basic conditions for receiving surgical treatment, including normal or basic renal function, renal function, and cardiopulmonary function; ? Patients or their family members have signed informed consent and agreed to participate in this study.

Exclusion criteria

Exclusion criteria: ? Pregnant or lactating women; ? Patients with other severe heart, lung, kidney and other organ dysfunction; ? Patients with distant metastases indicated by imaging; ? Patients with severe infection or inflammation; ? Patients with mental illness or who are unable to cooperate with the study; ? Other conditions deemed inappropriate for participation in this study by the investigator.

Design outcomes

Primary

MeasureTime frame
warm ischemia time;

Secondary

MeasureTime frame
surgery time;peri-operative bleeding;

Countries

CHINA

Contacts

Public ContactZhu yanjun

Zhongshan Hospital, Fudan University

zhu.yanjun@zs-hospital.sh.cn+86 138 1686 8791

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026