NCT07620470

Brief 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

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
120

participants targeted

Target at P50-P75 for all trials

Timeline
6mo left

Started Nov 2025

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress50%
Nov 2025Dec 2026

First Submitted

Initial submission to the registry

November 24, 2025

Completed
4 days until next milestone

Study Start

First participant enrolled

November 28, 2025

Completed
6 months until next milestone

First Posted

Study publicly available on registry

June 2, 2026

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 30, 2026

Expected
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

June 2, 2026

Status Verified

November 1, 2025

Enrollment Period

9 months

First QC Date

November 24, 2025

Last Update Submit

May 27, 2026

Conditions

Outcome Measures

Primary Outcomes (2)

  • 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)

    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.

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

Interventions

This is an observational data collection study

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study population from Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

You may qualify if:

  • 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)

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

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

Wuhan, Hubei, China

RECRUITING

MeSH Terms

Conditions

Brain Neoplasms

Condition Hierarchy (Ancestors)

Central Nervous System NeoplasmsNervous System NeoplasmsNeoplasms by SiteNeoplasmsBrain DiseasesCentral Nervous System DiseasesNervous System Diseases

Study Officials

  • Jing Wang

    1277 Jiefang Avenue, Wuhan, Hubei Province, P. R. China

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
OTHER
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 24, 2025

First Posted

June 2, 2026

Study Start

November 28, 2025

Primary Completion (Estimated)

August 30, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

June 2, 2026

Record last verified: 2025-11

Locations