Official Title
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
Brief Title
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
Protocol ID
NCT04695015
Lead Sponsor
Peking University
Brief Summary
The purpose of this study is to establish a standardized process for obtaining digital
pathological image information of ocular tumors; use modern pathological techniques to
obtain the co-expression information of multiple biomarkers in the pathological tissues
of ocular tumors, and finally construct standardized digital ocular tumors with
biomarkers Pathology image database.
Detailed Description
This study is a prospective study. Patients with common and representative ocular tumors
in the Department of Ophthalmology, Peking University Third Hospital, will be selected
and enrolled after informed consent to collect basic clinical information, preoperative
blood samples, and ocular tumors Obtain pathological image annotation data and
genomics-related data from ocular tumor tissue specimens, use blood samples for genomics
information analysis, provide multi-dimensional data for the development of artificial
intelligence algorithms, and establish artificial intelligence-assisted image data for
eye tumors Standardize the process and establish a multi-modal ocular tumor standardized
database of "clinical information-tissue samples-pathological images-genomics data". The
database and the diagnosis system are correlated with each other to provide optimal image
data for later machine learning and related algorithm establishment, and finally the
investigators will be completed the design of a new artificial intelligence-assisted
diagnosis system for eye tumors.
Study Period
-
Enrollment Count
100 participants
Eligibility Criteria
Inclusion Criteria:
1. Patients diagnosed with eye tumors and undergoing eye tumor surgery.
2. Patients sign informed consent for sample collection and sample transfer agreement,
and can cooperate with long-term regular follow-up requirements.
Exclusion Criteria:
1. Patients who are unable to undergo tumor surgery or retain samples due to various
reasons .
2. Patients who are positive for hepatitis B, HIV, and syphilis.
3. Patient compliance is poor.
Filters
Melanoma (Skin)
Melanoma in Situ
Nevus Eye
Sebaceous Gland Carcinoma of the Eyelid
Basal Cell Carcinoma
Squamous Cell Carcinoma in Situ
Ocular Tumor
UNKNOWN
CHILD
ADULT
OLDER_ADULT