Optimising Renal Tumour Management Through Artificial Intelligence Modules
Mutimodal Artificial Intelligence for Optimising Renal Tumour Management: Diagnosis, Surgery and Prognosis
Shao Pengfei
2,100 participants
Jan 1, 2025
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria3
- 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;
Exclusion Criteria3
- 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;
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06714916