Prospective Pathology Foundation Models
- Conditions
- Pancancer
- Registration Number
- NCT07157618
- Lead Sponsor
- Nanfang Hospital, Southern Medical University
- Brief Summary
Histopathology remains the gold standard for disease diagnosis, yet faces challenges including pathologist shortages and diagnostic model limitations. This underscores the critical need to develop deep learning-based pathology foundation models integrating prospective imaging and clinical data. Such models would enhance diagnostic accuracy and efficiency, enabling tumor grading, histo-molecular classification, and intelligent chemotherapy guidance - ultimately optimizing clinical workflows. However, a critical gap remains: the absence of prospectively validated, pan-disease pathology foundation models. Developing clinically validated models is therefore imperative.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 2000
- Aged 18-75 years old.
- Patients with complete pathological slides and clinical information.
1.Patients with missing data or specimens not meeting quality control requirements for analysis.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Area under ROC curve (AUC) Diagnostic evaluation will be performed within 1 week when the WSIs are obtained Area under the curve
- Secondary Outcome Measures
Name Time Method Sensitivity Diagnostic evaluation will be performed within 1 week when the WSIs are obtained The true positive rate (TPR) of the diagnostic platform, which is the ratio between the number of positive individuals correctly categorized by platform and the total number of actual positive individuals (%).
Specificity Diagnostic evaluation will be performed within 1 week when the WSIs are obtained The true negative rate (TNR) of the diagnostic platform, which is the ratio between the number of negative individuals correctly categorized by platform and the total number of actual negative individuals (%).
Trial Locations
- Locations (2)
Nanfang Hospital, Southern Medical University
🇨🇳Guangzhou, Guangdong, China
Qianfoshan Hospital
🇨🇳Jinan, Shandong, China
Nanfang Hospital, Southern Medical University🇨🇳Guangzhou, Guangdong, ChinaLi LiangContact+8615989146266lli@smu.edu.cnZhengyu ZhangContact+8613837365993zzyusmu@163.com