About this trial
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 criteria
This trial accepts healthy volunteersQualifiers
Patients with clinical and radiology (MRI/CT) diagnosed brain tumors.
Patients who underwent contrast enhanced scans using the Spectral CT 7500.
Study participants with age ≥ 18 years old.
Study participants that have signed Informed Consent Form (ICF)
Disqualifiers
The clinical data or radiological information is considered incomplete after evaluation by the investigator.
Study participant that was enrolled in this study in the past
Data from study participants deemed unsuitable for enrollment based on the investigator's evaluation
Trial population
The study population from Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Trial design
Case-only
Other
Treatments tested in this trial
This is an observational data collection study
DeviceThis is an observational data collection study
Treatment groups
Trial outcomes
Primary outcomes
Subjective Image quality using Likert score (1-5)
Image quality will be assessed by 2 radiologists using Likert score on a scale ranging from 1(poor) to 5(Excellent)
Objective Image Quality
The objective quality of the image is evaluated by measuring the CT value shown in the image.
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Philips Clinical & Medical Affairs Global
Lead sponsor
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Collaborator