Hilar Cholangiocarcinoma
Conditions
Keywords
Hilar Cholangiocarcinoma, Lymph Node Metastasis, Radiomics, Machine-learning, Prognosis
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.
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.
Interventions
As this is a observational study, there are no interventions.
Sponsors
Study design
Eligibility
Inclusion criteria
1. The patient must sign an informed consent form; 2. Age 18-75 years old, both male and female; 3. ECOG performance status score (PS score) 0-2; 4. Hilar cholangiocarcinoma with resectable tumor lesions; 5. Complete the upper abdomen MRI examination before treatment;
Exclusion criteria
1. Accompanied with other primary malignant tumors; 2. Patients who have neoadjuvant chemotherapy or other tumor-targeted therapies; 3. Incomplete imaging or medical history data.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Lymph node metastasis status | Baseline | The value of multiparametric MRI-based clinico-radiomics in predicting lymph node metastasis. |
Countries
China