Comparing CT scans with routine measurements for muscle and bone health in older adults
Comparison of Artificial Intelligence-based Analysis of Computed Tomography Data With Routinely Performed Measurements Concerning Bone and Muscle Health of Aged Individuals to Validate Surrogate Parameters for the Aging Population.
This study is testing if CT scans can better check muscle and bone health in older adults to help prevent falls and keep them independent.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 300 (estimated) |
| Sex | All |
| Sponsor | University Department of Geriatric Medicine FELIX PLATTER Academic / other |
| Locations | 1 site (Basel, Canton of Basel-City) |
| Trial ID | NCT06488872 on ClinicalTrials.gov |
What this trial studies
This observational study investigates the effectiveness of using computed tomography (CT) scans to assess muscle and bone health in elderly individuals, particularly focusing on conditions like sarcopenia and osteoporosis. By employing artificial intelligence algorithms, the study aims to analyze existing CT images to evaluate muscle quality and detect abnormalities without requiring additional resources. The research seeks to improve diagnostic methods for age-related muscle loss and bone density issues, which are critical for preventing falls and maintaining independence in older adults. The study includes retrospective data analysis from CT scans performed within a specific timeframe relative to inpatient stays.
Who should consider this trial
Good fit: Ideal candidates for this study are older adults who have undergone CT examinations of the thorax, abdomen, pelvis, or spine within a specified timeframe.
Not a fit: Patients with non-diagnostic image quality or those who have refused participation will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate and non-invasive diagnostic methods for sarcopenia and osteoporosis, improving patient outcomes and quality of life.
How similar studies have performed: While the use of AI in imaging is a growing field, this specific approach of comparing CT scans with routine measurements for muscle and bone health is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * CT examination (thorax, abdomen, pelvis, spine with muscle parts to be visualized) by the responsible in-house radiology department one month before or after the inpatient stay at the UAFP (sarcopenia arm). * CT thorax and CT abdomen images of patients from the responsible in-house radiology department and an in-house DEXA measurement. Both examinations may be performed no more than 18 months apart (osteoporosis arm). * Diagnostic image quality of CT scans. Exclusion Criteria: * Presence of a documented refusal. * Non-diagnostic image quality * Absence of the following functional measurements: Hand strength on both hands, timed-up \& go test, gait speed.
Where this trial is running
Basel, Canton of Basel-City
- Universitäre Altersmedizin Felix Platter — Basel, Canton of Basel-City, Switzerland (Recruiting)
Study contacts
- Principal investigator: Andreas M. Fischer, PD Dr. — Universitäre Altersmedizin Felix Platter
- Study coordinator: Andreas M. Fischer, PD Dr.
- Email: andreasmfischer.basel@gmail.com
- Phone: 061 3265102
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.