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Establishment and Clinical Study of an AI-Driven Multi-Omics Multi-Modal Intrahepatic Cholangiocarcinoma Subtyping System

Establishment and Clinical Study of an AI-Driven Multi-Omics Multi-Modal Intrahepatic Cholangiocarcinoma Subtyping System

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600127913
Enrollment
Unknown
Registered
2026-07-09
Start date
2026-09-01
Completion date
Unknown
Last updated
2026-07-13

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

Conditions

Intrahepatic cholangiocarcinoma (ICC)

Interventions

Observation group:none

Sponsors

Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age >= 18 years old; 2.Pathologically confirmed as ICC, or highly suspected based on standard imaging evaluation and subsequently confirmed as ICC through pathology/follow-up (pathology is preferred as the gold standard); 3.Complete standardized multi-phase, multi-sequence liver MRI scanning: at least including non-contrast, arterial phase, portal venous phase, delayed phase, T2WI, DWI/ADC; MRCP or hepatobiliary-specific contrast agent hepatobiliary phase (HBP) sequences may be included as enhanced information; 4.The image quality meets the analysis requirements, with no significant motion artifacts or metal artifacts. 5.Complete clinical data: must include at least pathological results, key serological indicators, treatment plans, and follow-up outcome information (OS/DFS/recurrence/metastasis, etc.).

Exclusion criteria

Exclusion criteria: 1.Non-ICC: including hepatocellular carcinoma, metastatic liver tumors, hilar/distal cholangiocarcinoma, and mixed hepatocellular carcinoma, etc. 2.MRI lacks key sequences or has severe artifacts; 3.The differences in image acquisition parameters are extremely large and lack parameter records, making standardized correction impossible. 4.Key clinical outcome data is missing and cannot be supplemented. 5.Pregnant, critically ill, or those who are ethically unsuitable.

Design outcomes

Primary

MeasureTime frame
Diagnostic performance of AI classification model;Generalizability of AI model;

Secondary

MeasureTime frame
Overall survival (OS);Disease-free survival (DFS);

Countries

China

Contacts

Public ContactLiang Xiao

Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University

srrshlx@163.com+86 13588708506

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026