Spectral Precise Image Study for Brain Tumors

N/ARecruitingNCT07620470

Philips Clinical & Medical Affairs Global120 enrolled

Overview

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

Study Type

OBSERVATIONAL

Enrollment

120

Conditions

Brain Tumors

Interventions

This is an observational data collection studyDEVICE

This is an observational data collection study

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Wuhan, Hubei, China

RECRUITING

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)

Time frame: From date of image reconstruction until the date of image reading completion, anticipated 3Months.

Objective Image Quality

The objective quality of the image is evaluated by measuring the CT value shown in the image.

Time frame: From date of image reconstruction until the date of image reading completion, anticipated 3Months.

Central Contacts

Jing Wang

CONTACT

+8613986085216 xhwangjing@hust.edu.cn

Data from ClinicalTrials.gov

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