Status:
UNKNOWN
Diagnostic Efficiency of Artificial Intelligence for Surgical Neuropathology
Lead Sponsor:
Jinsong Wu
Conditions:
Central Nervous System Neoplasms
Eligibility:
All Genders
18+ years
Phase:
NA
Brief Summary
This is a multi-center, prospective, self-controlled, diagnostic accuracy comparative study of Artificial Intelligence Diagnostic System for Surgical Neuropathology. The investigators will compare the...
Detailed Description
In this study, 141 patients will be recruited. After being enrolled, the patients will accept surgery and specimens for pathological analysis will be taken according to the routine treatment process. ...
Eligibility Criteria
Inclusion
- Patients or their guardians understand the research process, agree to use their data, and sign the informed consent form;
- Aged \>=18 years;
- MRI shows intracranial spaceoccupying lesions;
- The clinical diagnosis is glioma, metastasis or lymphoma thus requiring surgical treatment;
- The patient is willing to accept the surgery.
Exclusion
- The patient has serious underlying diseases thus is not suitable for surgery;
- After further clinical evaluation, surgical treatment was not the best choice;
- The patient participate in clinical research of other drugs or devices;
- The researchers believe that there are other factors that will make the patients unable to complete the study.
Key Trial Info
Start Date :
February 1 2021
Trial Type :
INTERVENTIONAL
Allocation :
ESTIMATED
End Date :
February 1 2022
Estimated Enrollment :
141 Patients enrolled
Trial Details
Trial ID
NCT04671368
Start Date
February 1 2021
End Date
February 1 2022
Last Update
December 17 2020
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