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Optimising Renal Tumour Management Through Artificial Intelligence Modules

NCT06714916 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2100

Last updated 2025-03-19

No results posted yet for this study

Summary

The goal of this observational study is to improve the management of people with renal tumour by multimodal artificial intelligence(AI). It will also measure the accuracy of the predictions from AI models. The main questions it aims to answer are:

1. whether the AI module can accurately provide tumor-related information such as Benign or malignant, subtypes, grading, stage, etc. by learning from preoperative CT images.
2. whether the AI module can help clinicians find out the most suitable surgical programme for people with renal tumor.
3. whether the AI module can integrate CT images and pathology slides, offering supplementary prognostic information to improve postoperative survival.

Participants who complete a CT(usually Contrast-enhanced CT, CECT) examination and undergo radical or partial nephrectomy will carry out active surveillance and record postoperative survival data for 5 years.

Conditions

  • Renal Neoplasms
  • Pathology
  • Renal Cell Cancer

Sponsors & Collaborators

  • Shao Pengfei

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-01
Primary Completion
2028-01-01
Completion
2033-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06714916 on ClinicalTrials.gov