The Value of a Convolutional Neural Network-Based Renal Artery Perfusion Model in Predicting Renal Function After Partial Nephrectomy: A Prospective Study

Launched by SHAO PENGFEI · Dec 25, 2024

Keywords

ClinConnect Summary

This clinical trial is looking at a new way to predict how well a person's kidneys will function after they have surgery to remove part of a kidney due to kidney cancer. Researchers are using a special type of computer program called a Convolutional Neural Network (CNN) to help make these predictions. The main goal is to find out if this machine learning model can accurately estimate kidney function after surgery, which can help doctors make better treatment decisions.

To participate in this study, individuals need to be between the ages of 65 and 75 and have a specific type of kidney tumor that has not spread to other parts of the body. They should also be scheduled to have partial nephrectomy, which is surgery to remove only part of the kidney. Patients will receive regular follow-ups after their surgery to monitor their kidney function. It's important to note that those with certain health issues or who are receiving other types of cancer treatment may not be eligible for this trial.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 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
• Exclusion Criteria:
• • people with surgically unresectable lesions
• • people with Abnormal preoperative renal function, eGFR(estimated by CKD-EPI)\<90ml/min/1.73m2
• • 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