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Development of an AI-Based Multimodal Model for the Diagnosis and Treatment of Metastatic Renal Cell Carcinoma

Development of an AI-Based Multimodal Model for the Diagnosis and Treatment of Metastatic Renal Cell Carcinoma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114795
Enrollment
Unknown
Registered
2025-12-17
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Kidney Cancer

Interventions

case series:No

Sponsors

Renji Hospital, Shanghai Jiaotong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: I. Early Diagnosis Cohort for Lung Metastasis 1. Patients with a history of renal cell carcinoma diagnosed through clinical medical history, imaging (CT, PET-CT, etc.), or pathology; patients with renal cell carcinoma history concurrent with pulmonary nodules; patients with renal cell carcinoma lung metastasis; patients with benign pulmonary nodules; patients with lung cancer; patients with lung metastasis from other malignant tumors. 2. Accessible initial clinical data and imaging studies. 3. Obtain patient informed consent. II. Prognosis and Efficacy Prediction Cohort 1. Patients with definitively diagnosed unresectable tumors or advanced tumors with >=1 radiologically confirmed metastatic lesion. (Note: The advanced clear cell renal cell carcinoma efficacy assessment cohort exclusively includes advanced renal cell carcinoma patients; the advanced pan-cancer efficacy validation cohort includes, but is not limited to, patients with metastatic renal cell carcinoma, hepatocellular carcinoma, lung cancer, endometrial carcinoma, and other advanced cancers). 2. Receiving systemic combination therapy with anti-vascular endothelial growth factor (anti-VEGF) or vascular endothelial growth factor receptor (VEGFR) targeted agents, or in combination with immune checkpoint inhibitors; 3. Possessing relatively complete clinical, imaging, and pathological data, including accessible pre-treatment imaging or laboratory records, or pre-treatment/post-treatment paraffin-embedded tissue samples/hematoxylin and eosin (HE)-stained tissue sections. 4. Having complete follow-up information; 5. Obtaining patient informed consent.

Exclusion criteria

Exclusion criteria: 1. Inability to obtain a definitive diagnosis; 2. Irregular follow-up imaging data; 3. Cases deemed ineligible by the investigator due to other factors; 4. Cases meeting all inclusion criteria and none of the exclusion criteria shall be selected as subjects for this study.

Design outcomes

Primary

MeasureTime frame
Are pulmonary nodules in renal cancer patients indicative of lung metastasis?;Systemic therapy eesponse in renal cell carcinoma patients;ROC curve;AUC;

Countries

China

Contacts

Public ContactZhai Wei

Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine

jacky_zw2002@hotmail.com+86 187 0177 1959

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026