- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06751498
The Value of a Convolutional Neural Network-Based Renal Artery Perfusion Model in Predicting Renal Function After Partial Nephrectomy: A Prospective Study
April 14, 2025 updated by: Shao Pengfei
The Value of a Renal Artery Perfusion Model Based on Convolutional Neural Network in Predicting Renal Function After Partial Nephrectomy: A Prospective, Single-Center Study
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?
Study Overview
Status
Recruiting
Conditions
Detailed 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.
Study Type
Observational
Enrollment (Estimated)
300
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Shao Pengfei, Professor
- Phone Number: +8613851925825
- Email: spf032@hotmail.com
Study Contact Backup
- Name: Miao Haoqi, Postgraduate
- Phone Number: +8613276636957
- Email: mhq@stu.njmu.edu.cn
Study Locations
-
-
Jiangsu
-
Nanjing, Jiangsu, China, 210000
- Recruiting
- The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
-
Nanjing, Jiangsu, China, 210036
- Not yet recruiting
- The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
-
Contact:
- Shao Pengfei, Professor
- Phone Number: +8613851925825
- Email: spf032@hotmail.com
-
Contact:
- Miao Haoqi, Postgraduate
- Phone Number: mhq@stu.njmu.e +8613276636957
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
people with localized renal tumors scheduled for partial nephrectomy
Description
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
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
GFR of ipsilateral and contralateral kidneys
Time Frame: 3 months after surgery
|
3 months after surgery
|
|
volume of ipsilateral kidney
Time Frame: 3 months after surgery
|
3 months after surgery
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Postoperative total renal function(eGFR)
Time Frame: 24 hours, 1 month, 3 months, 6 months, 1 year after surgery
|
24 hours, 1 month, 3 months, 6 months, 1 year after surgery
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2025
Primary Completion (Estimated)
April 1, 2027
Study Completion (Estimated)
January 1, 2028
Study Registration Dates
First Submitted
December 25, 2024
First Submitted That Met QC Criteria
December 25, 2024
First Posted (Actual)
December 30, 2024
Study Record Updates
Last Update Posted (Actual)
April 17, 2025
Last Update Submitted That Met QC Criteria
April 14, 2025
Last Verified
April 1, 2025
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Urogenital Diseases
- Urogenital Neoplasms
- Neoplasms by Site
- Neoplasms
- Male Urogenital Diseases
- Kidney Diseases
- Urologic Diseases
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Neoplasms by Histologic Type
- Neoplasms, Glandular and Epithelial
- Adenocarcinoma
- Urologic Neoplasms
- Carcinoma
- Kidney Neoplasms
- Carcinoma, Renal Cell
Other Study ID Numbers
- 2024-SR-710
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.