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C-11 Acetate PET/CT based Glioma analysis using Deep Learning algorithms

Not Applicable
Recruiting
Conditions
Neoplasms
Registration Number
KCT0006277
Lead Sponsor
Yonsei University Health System, Severance Hospital
Brief Summary

Not available

Detailed Description

Not available

Recruitment & Eligibility

Status
Recruiting
Sex
All
Target Recruitment
100
Inclusion Criteria

1. Adult males and females 20 years of age or older
2. Patients with primary brain tumor diagnosed for the first time

Exclusion Criteria

1. Patients who received chemotherapy or radiation therapy as a pre-treatment
2. In the case of those who cannot read the consent form (eg, illiterate, foreigner, etc.)

Study & Design

Study Type
Observational Study
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
The predictive power of a deep learning network that distinguishes between glioma grade and IDH mutation
Secondary Outcome Measures
NameTimeMethod
Association of Acetate PET/CT with Overall Survival and Progression Free Survival
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