Prospective Pathology Foundation Models
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Pancancer. Basic parameters: 18 years — 75 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Development and Clinical Application of Deep Learning-Based Prospective Pathology Foundation Models
Overview
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.
Primary outcome measures
- Area under ROC curve (AUC) [Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained]
Secondary outcome measures (2)
- Specificity [Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained]
- Sensitivity [Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained]
Eligibility criteria
Inclusion criteria
- Aged 18-75 years old.
- Patients with complete pathological slides and clinical information.
Exclusion criteria
1.Patients with missing data or specimens not meeting quality control requirements for analysis.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 2 centers
- Nanfang Hospital, Southern Medical University — Guangzhou
- Qianfoshan Hospital — Jinan
Identifiers
NCT: NCT07157618 · NFEC-2025-403