The Value of a Convolutional Neural Network-Based Renal Artery Perfusion Model in Predicting Renal Function After Partial Nephrectomy: A Prospective Study
Recruiting
Observational Study
Renal Cell Cancer
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 – 80
- Sex
- Any
- Study type
- Observational
- Participants needed
- 300 (estimated)
- Sponsor
- Shao Pengfei · Other
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
Check Your Eligibility
About This Trial
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?
Trial Locations
Loading…
Loading trial locations…
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 t…
Contacts