Validation of AI Lumbar Spine Anatomy Measureing Function (Spinal cord)

RadiRad

Status: Completed

Conditions: Spinal Cord Compression

Study type: Observational

Funder types: Other; Industry

Identifiers

NCT06950411

Validation of Spinal Anatomy

Details and patient eligibility

About

Spinal degeneration and its associated clinical diseases are common ailments in aging societies. With the advent of a super-aging society, the importance of assistive technologies for spinal image interpretation is increasingly significant to enhance care efficiency and reduce medical personnel expenditure. Recently, due to the rapid development of artificial intelligence (AI) algorithm, AI-based computer-assisted detection (CADe) devices gradiually become a convenient method for spinal anatomy measurement. However, the accuracy of these devices has not been fully established. This study aims to validate the performance of RadiSpine (an application program) in spinal anatomy segmentation and measurement.

Enrollment: 150 patients

Sex: All

Ages: 22 to 75 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

The subjects should be aged 20 or older and younger than 75, with an equal gender distribution of 50% male and 50% female. From this group, 150 subjects with reasonable datavalues will be selected, with a requirement that at least 30% of them are male and at least 30% are female.

Exclusion criteria

1. With history of spinal surgery
2. Spinal trauma
3. Spinal osteoporosis
4. Spinal metastasis or infection