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

S

Shao Pengfei

Status

Enrolling

Conditions

Renal Cell Cancer

Study type

Observational

Funder types

Other

Identifiers

NCT06751498
2024-SR-710

Details and patient eligibility

About

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?

Full 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.

Enrollment

300 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

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

Trial contacts and locations

2

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Central trial contact

Shao Pengfei, Professor; Miao Haoqi, Postgraduate

Data sourced from clinicaltrials.gov

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