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The Use of Ultrasound Detection of Lipohypertrophy to Improve Glycemic Control

The Use of Machine Learning Detection of Lipohypertrophy to Improve Glycemic Variability

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05377268
Enrollment
100
Registered
2022-05-17
Start date
2023-03-01
Completion date
2026-12-31
Last updated
2026-05-01

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

Conditions

Diabetes Mellitus, Lipohypertrophy

Brief summary

Lipohypertrophy is swelling of the fatty tissue located below the skin ("subcutaneous tissue") where many patients with diabetes inject their insulin. Lipohypertrophy can sometimes be felt as firm swelling, lumps or small bumps near insulin injection sites. Previous studies have shown that injecting insulin into areas of lipohypertrophy can affect how insulin is absorbed, and can increase insulin requirements in patients. New data suggest that lipohypertrophy can be detected using ultrasound technology. The ultrasonographic presence of changes to the subcutaneous tissue without swelling that can be felt ("subclinical lipohypertrophy") and the effect of injecting insulin into these sites is unknown. 100 people will participate in the Phase 1 of this study. In the second phase of the study, 40 patients identified with subclinical lipohypertrophy in Phase 1 will be asked to participate in the randomized study using crossover design by checking your glucose levels.

Detailed description

Purpose: In Phase 1: to use computer based technology to detect lipohypertrophy on portable ultrasound images. In Phase 2: to demonstrate that injecting insulin into areas to be free of lipohypertrophy will have better glucose control as compared to injecting into areas demonstrated to have lipohypertrophy. Eligibility: You can participate in this study if: * You have been diagnosed with Type 1 or Type 2 diabetes * You are currently using injection of insulin daily or insulin pump for at least 2 years * You are 19 years of age or older You should not participate in this study if: * You are taking a glucagon-like peptide medication * You are currently using a systemic steroid agent (e.g. prednisone) * You have history of a non-lipohypertrophic skin disease in the insulin injection area * You are not fluent in English (unless accompanied by a translator)

Interventions

PROCEDURELH Protocol

Patients will be randomized and data interpreters will be blinded to two, randomized, alternating 14-day protocols where the patients will be advised by the nurse educator verbally to inject insulin in sites of subclinical lipohypertrophy

Sponsors

University of British Columbia
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
DIAGNOSTIC
Masking
DOUBLE (Subject, Investigator)

Masking description

The subject and the investigators will be blinded to the order of the two crossover protocols

Intervention model description

Patients will be randomized and data interpreters will be blinded to two, randomized, alternating 14-day protocols where the patients will be advised by the nurse educator verbally and by written instruction (recorded on a standardized grid as in our lab's previous work, see Appendix)11 to inject insulin in sites of subclinical lipohypertrophy (LH protocol) or normal subcutaneous tissue (Normal protocol). During each protocol, each subject will have glycemic variability measured.

Eligibility

Sex/Gender
ALL
Age
19 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Subjects with a diagnosis of Type 1 or Type 2 diabetes mellitus * Current treatment with a minimum of one insulin injection daily or insulin pump for at least 2 years

Exclusion criteria

* Subjects taking a glucagon-like peptide-1 agonist or a systemic glucocorticoid * Past history of a non-lipohypertrophic dermatological condition in the insulin injection site area

Design outcomes

Primary

MeasureTime frameDescription
Assessment of lipohypertrophy by US machineFirst 12 months of the studyValidation of machine algorithm, such as a web-based convolutional network to detect lipohypertrophy on portable ultrasound images. Each image will be evaluated by an experience ultrasonographer (Dr.Areshnikoff0 and labelled as either having the presence or absence of lipohypertrophy.

Countries

Canada

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 2, 2026