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Retrospective Pathology Foundation Models

NCT ID: NCT07239297

Last Updated: 2025-11-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ENROLLING_BY_INVITATION

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-08-01

Study Completion Date

2028-07-31

Brief Summary

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By integrating retrospective multimodal data such as pathology and imaging, AI technologies offer novel solutions for disease classification, tumor grading, histological and molecular subtyping, selection of chemotherapy regimens, risk stratification, and treatment-response prediction. This research direction not only deepens our understanding of tumor biological characteristics but also provides essential support for precision medicine and individualized therapy. It holds significant theoretical and practical value and has important implications for mitigating strained medical resources and improving the accuracy of therapeutic decision-making, representing a cutting-edge application with substantial translational potential.

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Detailed Description

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Conditions

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Pancancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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NFH dataset

We conducted a validation study to compare the diagnostic performance among pathologists, our pathology foundation model, and pathologist-with-AI-assisted diagnosis. This study was initiated at Nanfang Hospital, Southern Medical University (NFHSMU), with patient enrollment from January 1, 2011 to July 31, 2024.

No interventions assigned to this group

QFSH external validation dataset

1000 slides from 1000 eligible individuals were obtained in the Qianfoshan Hospital (QFSH, Jinan, China) between January 2020 and July 2025, which was used to validate the pathology foundation models.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

1. Aged 18-75 years old.
2. Patients with complete pathological slides and clinical information.

Exclusion Criteria

1.Patients with missing data or specimens not meeting quality control requirements for analysis.
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Nanfang Hospital, Southern Medical University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Li Liang

Role: STUDY_DIRECTOR

Nanfang Hospital, Southern Medical University

Locations

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Nanfang Hospital, Southern Medical University

Guangzhou, Guangdong, China

Site Status

Qianfoshan Hospital

Jinan, Shandong, China

Site Status

Countries

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China

Other Identifiers

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NFEC-2025-419

Identifier Type: -

Identifier Source: org_study_id

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