MRI-based Clinico-radiomics Predicting Lymph Node Metastasis Status of Hilar Cholangiocarcinoma
Study Details
Study Description
Brief Summary
This is a prospective, observational diagnostic study aiming to assess multiparametric MRI-based clinico-radiomics for identifying lymph node metastasis status in hilar cholangiocarcinoma.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
A preoperative tool capable of predicting lymph node metastasis status in hilar cholangiocarcinoma is lacking and urgently needed for clinical practice. This study proposes to establish and evaluate a machine-learning algorithms of multiparametric MRI-based clinico-radiomics for identifying lymph node metastasis status in hilar cholangiocarcinoma. This study will investigate the relationship between radiomic depth information and tumor biological characteristics. The study includes the construction of capable MRI-based clinico-radiomics prediction model and the validation of the prediction model.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Sun Yat-Sen Memorial Hospital of Sun Yat-sen University The cohort of Sun Yat-Sen Memorial Hospital of Sun Yat-sen University is the validation cohort. |
Other: No interventions
As this is a observational study, there are no interventions.
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Outcome Measures
Primary Outcome Measures
- Lymph node metastasis status [Baseline]
The value of multiparametric MRI-based clinico-radiomics in predicting lymph node metastasis.
Eligibility Criteria
Criteria
Inclusion Criteria:
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The patient must sign an informed consent form;
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Age 18-75 years old, both male and female;
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ECOG performance status score (PS score) 0-2;
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Hilar cholangiocarcinoma with resectable tumor lesions;
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Complete the upper abdomen MRI examination before treatment;
Exclusion Criteria:
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Accompanied with other primary malignant tumors;
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Patients who have neoadjuvant chemotherapy or other tumor-targeted therapies;
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Incomplete imaging or medical history data.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Sun Yat-sen Memorial Hospital, Sun Yat-sen University | Guangzhou | Guangdong | China | 510220 |
Sponsors and Collaborators
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Investigators
- Principal Investigator: Chao Liu, PhD, Department of Biliary and Pancreatic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- SYSKY-2022-267-01