Spectral Precise Image Study for Brain Tumors
Condition(s) studied
Investigational drug(s) / intervention(s)
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
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 |
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Other trials for the same condition
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.
View NCT07620470 on ClinicalTrials.gov ↗ ← All trials in China