Automatic Segmentation Ultrasound-based Radiomics Technology in Diabetic Kidney Disease

NCT05025540 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 499

Last updated 2022-02-16

No results posted yet for this study

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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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05025540 on ClinicalTrials.gov