This is an observational data collection study: This is an observational data collection study
Study summary
The goal of this observational study is to explore the image quality of spectral CT deep learning reconstruction technology (Spectral Precise Image) of patients with confirmed brain tumors.
The main question it aims to answer is:
The Image Quality (IQ) and diagnostic confidence of Spectral Precise Image reconstructions
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
Accepted
Inclusion Criteria:
1. Patients with clinical and radiology (MRI/CT) diagnosed brain tumors.
2. Patients who underwent contrast enhanced scans using the Spectral CT 7500.
3. Study participants with age ≥ 18 years old.
4. Study participants that have signed Informed Consent Form (ICF)
Exclusion Criteria:
1. The clinical data or radiological information is considered incomplete after evaluation by the investigator.
2. Study participant that was enrolled in this study in the past
3. Data from study participants deemed unsuitable for enrollment based on the investigator's evaluation
Primary outcome measure(s)
Subjective Image quality using Likert score (1-5) — From date of image reconstruction until the date of image reading completion, anticipated 3Months. Image quality will be assessed by 2 radiologists using Likert score on a scale ranging from 1(poor) to 5(Excellent)
Objective Image Quality — From date of image reconstruction until the date of image reading completion, anticipated 3Months. The objective quality of the image is evaluated by measuring the CT value shown in the image.
Trial sites (1)
Facility
City
Region
Status
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan
Hubei
Recruiting
More Philips Clinical & Medical Affairs Global trials in China
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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