Status:
UNKNOWN
Establishment and Evaluation of Multimodal Image Recognition System of Glioma Based on Deep Learning
Lead Sponsor:
Tao Xin
Conditions:
Glioma
Eligibility:
All Genders
18-70 years
Brief Summary
Research purposes: 1. To obtain the metabolic characteristics of glioma molecular imaging through a multimodal image recognition system. 2. To determine whether molecular imaging metabolic parameters...
Detailed Description
1. Multimodal Image Recognition System of Glioma Molecular imaging is the use of imaging methods to display specific molecules at the tissue level, cellular level, and subcellular level, reflecting ch...
Eligibility Criteria
Inclusion
- glioma patients confirmed by postoperatively pathology ;
- the lesion is non-diffuse, and the tumor body, edema and surrounding normal tissue are clearly delimited;
- capacity to give informed consent and follow study procedures.
Exclusion
- patients with previous treatment of glioma;
- lack of clinical and image data or data inability to meet research needs;
- severe cardiac dysfunction: acute decompensated heart failure and/or chronic heart failure functional class III or IV (New York Heart Association classification);
- patients who gave up halfway
Key Trial Info
Start Date :
December 30 2021
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 30 2022
Estimated Enrollment :
350 Patients enrolled
Trial Details
Trial ID
NCT04407039
Start Date
December 30 2021
End Date
December 30 2022
Last Update
September 9 2021
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