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

Last updated: April 14, 2025
Sponsor: Shao Pengfei
Overall Status: Active - Recruiting

Phase

N/A

Condition

Kidney Cancer

Renal Cell Cancer

Renal Cell Carcinoma

Treatment

N/A

Clinical Study ID

NCT06751498
2024-SR-710
  • Ages 18-80
  • All Genders

Study Summary

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:

• Does this machine learning model accurately predict renal function after partial nephrectomy?

Eligibility Criteria

Inclusion

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 NCCNguidelines

  • ECOG score of 0 or 1

  • Life expectancy greater than 10 years

Exclusion

Exclusion Criteria:

  • people with surgically unresectable lesions

  • people with Abnormal preoperative renal function, eGFR(estimated byCKD-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 duringthe postoperative follow-up period

  • people with serious systemic disease

Study Design

Total Participants: 300
Study Start date:
January 01, 2025
Estimated Completion Date:
January 01, 2028

Study Description

This prospective study is conducted to predict postoperative fractional renal function using the perfusion deficit method from a preoperatively established renal arterial perfusion model for people who are proposed to undergo partial nephrectomy. In this study, this prediction method will be compared with the true missing values of renal units on nuclear renal function, eGFR, and CTA. This study aims to evaluate the feasibility of applying the CNN-based model in predicting postoperative renal function after partial nephrectomy and provide high-level clinical evidence for the preoperative integrated diagnostic and treatment process of renal tumors, especially in terms of the functional evaluation.

Connect with a study center

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

    Nanjing, Jiangsu 210000
    China

    Active - Recruiting

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