Optimising Renal Tumour Management Through Artificial Intelligence Modules

Recruiting now

Conditions studied: Renal Neoplasms, Pathology, Renal Cell Cancer

In brief

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.

Key facts

Study ID

NCT06714916

Run by

Shao Pengfei

People needed

2100

Starts

2025-01-01

Expected to finish

2033-12-31

Last updated by the study team

2025-03-19

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients with renal tumor which can be treated by surgery;
• Complete CECT within 30 days before surgery;
• Patients who fully understand this study and sign the informed consent;

You may not qualify if…

• Patients with any item missing from the baseline clinical and pathological information;
• Patients who has already metastasized by the time the tumor is discovered;
• Previous treatment in any form, including surgery, targeted therapy and immunotherapy;

Where it is running

• The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital) — Nanjing, Jiangsu, China (enrolling)

Full record on ClinicalTrials.gov

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