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AI Based Metal Artifact Reduction-PMAR

Clinical Application of AI Based Metal Artifact Reduction and Its Comparison With Orthopedic Metal Artifact Reduction (O-MAR) and Conventional Image

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07619404
Enrollment
220
Registered
2026-06-02
Start date
2026-06-15
Completion date
2026-12-31
Last updated
2026-06-02

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

Conditions

Lmbar Spine With Screws

Brief summary

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.

Interventions

None listed

Sponsors

Philips Clinical & Medical Affairs Global
Lead SponsorINDUSTRY
Beijing Jishuitan Hospital
CollaboratorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years

Inclusion criteria

1. Images come from patients aged ≥ 18 years, 2. Images come from patients with screws in lumber spine after internal fixation surgery underwent follow up Incisive CT scan; 3. Images come from patients who comply with the requirements of informed consent at the study site.

Exclusion criteria

1. Patients with other metal objects inside or outside the body 2. There is movement during the CT scan, causing by breathing etc. artifact affecting image quality 3. Data is considered unsuitable for enrollment based on the investigator's evaluation due to incomplete clinical data or radiological information etc.

Design outcomes

Primary

MeasureTime frameDescription
Image Quality-4 Likert ScaleFrom 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)

Contacts

CONTACTZhu Xu Chen
radiology888@aliyun.com+8618612235763

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 3, 2026