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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

Recruitingn/aAges 18 Years - 80 YearsAllShao Pengfei
NCT06751498 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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?

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📋 Eligibility rules (as published)
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
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What it tests

  • Not listed
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Where

2 sites
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
Nanjing, China
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
Nanjing, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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