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Artificial Intelligence-based identification, classification and precise intervention system of insulin injection-related subcutaneous fat hyperplasia

Artificial Intelligence-based identification, classification and precise intervention system of insulin injection-related subcutaneous fat hyperplasia

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300076425
Enrollment
Unknown
Registered
2023-10-08
Start date
2023-10-31
Completion date
Unknown
Last updated
2023-10-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

diabetes

Interventions

Subcutaneous injection of insulin in diabetes mellitus:None
Non-subcutaneous injection of insulin in diabetes mellitus:None

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Select all age groups admitted in our unit and cooperative medical institutions since 2020, patients with type 1 or type 2 diabetes who have been treated with insulin injection (at least once a day) or insulin pump for at least two years, or patients who have been diagnosed with subcutaneous fat hyperplasia at the insulin injection site.

Exclusion criteria

Exclusion criteria: Patients with glucagon-like peptide-1 agonists or systemic glucocorticoids, or patients with non-adipose dystrophic dermatosis extending to the insulin injection site, were excluded

Design outcomes

Primary

MeasureTime frame
Ultrasonographic features of subcutaneous fat;—

Countries

China

Contacts

Public ContactLixin Guo

Beijing Hospital

glx1218@163.com+86 139 0131 7569

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026