Automatic Segmentation Ultrasound-based Radiomics Technology in Diabetic Kidney Disease
NCT05025540 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 499
Last updated 2022-02-16
Summary
Diabetic kidney disease is a common complication of diabetes and the main cause of end-stage renal disease. In this study, the investigator plan to enroll nearly 500 participant with/without DKD and to develop an automatic segmentation ultrasound based radiomics technology to differentiating participant with a non-invasive and an available way.
Conditions
- Diabetic Kidney Disease
Interventions
- DIAGNOSTIC_TEST
-
ultrasonic imaging
Two-dimensional ultrasound images of the patient's kidneys were obtained by ultrasound imaging.
Sponsors & Collaborators
-
Second Affiliated Hospital, School of Medicine, Zhejiang University
lead OTHER
Principal Investigators
-
Pintong Huang · Department of Ultrasound, The Second Affiliated Hospital of Zhejiang University
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-06-01
- Primary Completion
- 2021-12-01
- Completion
- 2021-12-01
Countries
- China
Study Locations
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