Mutimodal Artificial Intelligence for Optimising Renal Tumour Management: Diagnosis, Surgery and Prognosis

Status: Recruiting
Location: See location...
Study Type: Observational
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
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• 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;

Locations
Other Locations
China
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
RECRUITING
Nanjing
Contact Information
Primary
Shao Pengfei, Professor
spf032@hotmail.com
+8613851925825
Backup
Miao Haoqi, Postgraduate
mhq@stu.njmu.edu.cn
+8613276636957
Time Frame
Start Date: 2025-01-01
Estimated Completion Date: 2033-12-31
Participants
Target number of participants: 2100
Related Therapeutic Areas
Sponsors
Leads: Shao Pengfei

This content was sourced from clinicaltrials.gov

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