Osteopenia or Osteoporosis
Conditions
Keywords
orthopedic surgery, screening
Brief summary
To assess the effectiveness of 16bit's Rho AI (artificial intelligence) software at identifying known cases of osteoporosis. 800 de-identified images from January 2007 to January 2024 will be accessed to test the software prospectively.
Detailed description
Osteoporosis is underrecognized and undertreated in the orthopedic surgery patient population. Osteoporosis is diagnosed by dual-energy x-ray absorptiometry which is costly and imparts radiation. Preoperative radiographs are universally obtained in orthopedic surgery patients, however up to this point radiographs have not been able to diagnose osteoporosis. This software program is a new technology that is able to leverage radiographs to opportunistically screen for osteoporosis. The study team will identify applicable patient records from medical record review, and Radius will de-identify the x-ray images. The de-identified images will be run through the Rho AI program to identify osteoporosis or osteopenia, and a report will be generated to summarize the program's findings.
Interventions
DEVICERho AI software
Rho is a AI enabled opportunistic pre-screening computer-aided detection and notification software for low bone mineral density.
Sponsors
University of Wisconsin, Madison
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
50 Years to 90 Years
Healthy volunteers
No
Inclusion criteria
* images from people who have undergone total joint arthroplasty * images from people who have undergone spine fusion
Exclusion criteria
\-
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| AI Predicted Osteoporosis Score | through study completion (data collected up to 1 month) | Osteoporosis score is a T-score where -1.0 and above: Normal bone density, -1.0 to -2.5: Osteopenia (low bone mass), -2.5 and below: Osteoporosis |
Countries
United States
Outcome results
None listed