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Research on a Multimodal Medical Imaging-Based General Foundation Model for Early Screening and Diagnosis/Treatment Decision-Making of Multiple Tumors

Research on a Multimodal Medical Imaging-Based General Foundation Model for Early Screening and Diagnosis/Treatment Decision-Making of Multiple Tumors

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600120254
Enrollment
Unknown
Registered
2026-03-11
Start date
2026-04-01
Completion date
Unknown
Last updated
2026-03-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Thyroid cancer, breast cancer, gastric cancer, liver cancer, colorectal cancer, endometrial cancer, cervical cancer, prostate cancer

Interventions

Sponsors

Zhejiang Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Confirmed Cases: Patients histopathologically or cytologically diagnosed with thyroid cancer, breast cancer, gastric cancer, liver cancer, colorectal cancer, endometrial cancer, cervical cancer, or prostate cancer. 2. Complete Imaging Data: Availability of high-quality, protocol-compliant multimodal imaging records (e.g., chest X-ray, ultrasound, CT, MRI) acquired prior to or at the time of diagnosis. 3. Comprehensive Clinical Data: Matched baseline clinical information contemporaneous with imaging acquisition, including but not limited to age, sex, key laboratory biomarkers (e.g., AFP, PSA), and treatment regimens. 4. Full Disease Course Coverage: For prognostic prediction analysis, regular post-treatment imaging follow-up data and well-documented clinical endpoints (e.g., recurrence, metastasis, survival status). 5. Healthy Control Group: Individuals concurrently enrolled in health screenings, undergoing identical imaging protocols (e.g., chest X-ray), and confirmed free of malignant tumors through comprehensive medical evaluations. 6. Ethical Compliance: The study has received Institutional Review Board (IRB) approval from all participating centers. A waiver of informed consent will be requested for retrospective data, while prospective enrollment requires written informed consent.

Exclusion criteria

Exclusion criteria: 1. Poor Image Quality: Critical imaging data with severe artifacts, missing slice thickness parameters, or failing to meet the minimum quality requirements for model analysis. 2. Critical Information Deficit: Absence of gold-standard pathological diagnosis or core clinical endpoints required for model training/validations. 3. Comorbid Confounding Diseases: Presence of systemic diseases significantly affecting image interpretation (e.g., end-stage renal disease, active tuberculosis, severe autoimmune disorders) or major trauma/surgery history within the imaging field. 4. Synchronous/Metachronous Multiple Primary Cancers: Diagnosis of any non-study malignancy (excluding non-melanoma skin cancers) at enrollment to avoid interference with cancer-specific signal recognition. 5. Age Restrictions: For retrospective cohorts, individuals under 18 years old will be excluded to minimize physiological variability that may confound model performance. Prospective enrollment will follow protocol-specific age criteria. 6. Ethical and Compliance Exclusions: All personally identifiable information (PII) will be fully anonymized. Data failing anonymization standards or violating data-sharing agreements will be excluded.

Design outcomes

Primary

MeasureTime frame
Accuracy;

Secondary

MeasureTime frame
Sensitivity;Specificity;

Countries

China

Contacts

Public ContactDong Xu

Zhejiang Cancer Hospital

xudong@zjcc.org.cn+86 135 8834 1756

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 20, 2026