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Realistic Models of Gastrointestinal Bioelectromagnetism

Realistic Models of Gastrointestinal Bioelectromagnetism

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00178997
Acronym
SQUID
Enrollment
20
Registered
2005-09-15
Start date
2004-02-29
Completion date
2010-09-01
Last updated
2017-04-07

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

Conditions

Ischemia

Keywords

Blood supply, Mesentery

Brief summary

The purpose of this study is to look at the electrical activity present in healthy and diseased smooth muscle of the intestines; and develop both mathematical and computer models.

Detailed description

The Superconducting QUantum Interference Device (SQUID)is a large cylinder machine located in a large shielded room that measures magnetic activity of the intestines. Subjects will be asked to lie underneath and get recordings of the electrical activity of their intestines. They will also be asked to have a CT scan done. From these two procedures, the mathematical and computer models will be developed to determine the difference between normal bowels and those that do not have adequate blood supply.

Interventions

None listed

Sponsors

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
CollaboratorNIH
Alan Bradshaw
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

Inclusion criteria

* Normal subjects and those with diseased bowel

Exclusion criteria

* Subjects with claustrophobia

Design outcomes

Primary

MeasureTime frame
To observe a difference in the electrical activity between normal and diseased smooth muscle of the intestines.2011

Secondary

MeasureTime frame
To create both mathematical and computer models of the electrical activity of the intestines.2011

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026