NCT Number: NCT07619404
AI Based Metal Artifact Reduction-PMAR
The study is going to enroll about 220 consecutive patients with screws in lumber spine after internal fixation surgery who underwent follow-up assessment using Incisive CT according to the department standard of care. Retrospective data sets will be reconstructed into conventional image, the O-MAR algorithm, and Precise-MAR. Three blinded, independent radiologists evaluate both qualitative and quantitative analysis of image quality of surrounding tissue and artifact. Statistical analysis included the Friedman test, Wilcoxon signed-rank test, and Levene test.
Trial opening soon.
Get NotifiedKey information
Conditions
Age range
18 year–80 year
Sex eligibility
All sexes
Study type
Observational
Who can participate
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
- Images come from patients aged ≥ 18 years,
- Images come from patients with screws in lumber spine after internal fixation surgery underwent follow up Incisive CT scan;
- Images come from patients who comply with the requirements of informed consent at the study site.
Exclusion criteria
- Patients with other metal objects inside or outside the body
- There is movement during the CT scan, causing by breathing etc. artifact affecting image quality
- Data is considered unsuitable for enrollment based on the investigator's evaluation due to incomplete clinical data or radiological information etc.
Treatment and study plan
Primary outcomes
-
Image Quality-4 Likert Scale
Time frame: From the date of image reconstruction completion until the date of image read completion. Anticipate 2Months.
The radiologist will evaluate the image quality using Likert scale on a scale ranging from 0(poor) to 4(good)
Study contacts
Contact information is provided by the study sponsor or research team.
Sponsors and collaborators
Lead sponsor
Philips Clinical & Medical Affairs Global
Industry
Collaborators
- Beijing Jishuitan Hospital
Registry information
Official study title
Clinical Application of AI Based Metal Artifact Reduction and Its Comparison With Orthopedic Metal Artifact Reduction (O-MAR) and Conventional Image
Important dates
- Study start
- 2026
- Primary completion
- 2026
- Study completion
- 2026
- First posted
- Jun 2, 2026
- Registry last updated
- Jun 2, 2026
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.