A Computer Model to Predict Kidney Function After Kidney Cancer Surgery
Studies a computer model that predicts kidney function after partial removal of kidney cancer.
Key facts
- Who runs it
- Shao Pengfei
- Where
- Nanjing, ChinaSee the site
- Trial code
- Registry title
- The Value of a Convolutional Neural Network-Based Renal Artery Perfusion Model in Predicting Renal Function After Partial Nephrectomy: A Prospective Study
- Status
- Recruiting
- People taking part
- 300 people, planned
- Started
- 1 Jan 2025
- Expected to end
- 1 Jan 2028
- Type of study
- Observational
- Record updated
- 17 April 2025
Who can take part
AI summary
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults with a small kidney tumour (stage cT1) that has not spread and who are planned to have partial nephrectomy. It tests a computer model that predicts kidney function after surgery.
- Age
- 18 to 80 years
- Sex
- All sexes can join.
- Disease stage
- Stage cT1 kidney tumour confirmed by CT or MR scan, localized, with no spread to lymph nodes or distant sites.
- Earlier treatment
- Must not have had targeted therapy, immunotherapy or chemotherapy before surgery.
- Biomarker or test result
- Normal kidney function before surgery is needed (eGFR of 90 ml/min/1.73m2 or more).
Main reasons for not taking part
- Tumour that cannot be removed by surgery
- eGFR below 90 ml/min/1.73m2 before surgery
- Targeted therapy, immunotherapy or chemotherapy before surgery
- Any reason that makes surgery unsafe
- Serious systemic disease
The registry criteria, word for word
Show all 12 criteriaShow less
Who can take part
- people with stage cT1 renal tumors confirmed by preoperative CT or MR
- people who are proposed to undergoing partial nephrectomy
- localized renal tumors without lymph node and distant metastases as defined by NCCN guidelines
- ECOG score of 0 or 1
- Life expectancy greater than 10 years
Who cannot take part
- people who receive preoperative molecular targeted therapy, immunotherapy, chemotherapy
- people with any contraindications to surgery
- people who convert to radical nephrectomy during surgery
- people who receive molecular targeted therapy, immunotherapy or chemotherapy during the postoperative follow-up period
- people with serious systemic disease
- people with Abnormal preoperative renal function, eGFR(estimated by CKD-EPI)<90ml/min/1.73m2
- people with surgically unresectable lesions
Check if you might fit
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 80 years old?
Where in China
- The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)Nanjing, ChinaContact: Shao Pengfei, ProfessorTaking people
About the trial
What the trial wants to find out
The goal of this observational study is to develop a CNN-based machine module to predict postoperative fractional renal function in people who are proposed to undergo partial nephrectomy. The main question it aims to answer is:
Read full original descriptionShow less
• Does this machine learning model accurately predict renal function after partial nephrectomy?
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorData and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- The Value of a Renal Artery Perfusion Model Based on Convolutional Neural Network in Predicting Renal Function After Partial Nephrectomy: A Prospective, Single-Center Study
- Plain-language title
- A Computer Model to Predict Kidney Function After Kidney Cancer SurgeryGenerated from the registry record. The registry title is the official one.
- AI summary
- From the trial's eligibility criteria. Read by machine on 12 November 2026.
- Fit questions
- Built from NCT06751498, who can take part
- Record updated
- 17 April 2025