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MRI-based Clinico-radiomics Predicting Lymph Node Metastasis Status of Hilar Cholangiocarcinoma

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Sun Yat-sen University

Status

Enrolling

Conditions

Hilar Cholangiocarcinoma

Treatments

Other: No interventions

Study type

Observational

Funder types

Other

Identifiers

NCT05626127
SYSKY-2022-267-01

Details and patient eligibility

About

This is a prospective, observational diagnostic study aiming to assess multiparametric MRI-based clinico-radiomics for identifying lymph node metastasis status in hilar cholangiocarcinoma.

Full 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.

Enrollment

60 estimated patients

Sex

All

Ages

18 to 75 years old

Volunteers

No Healthy Volunteers

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.

Trial design

60 participants in 1 patient group

Sun Yat-Sen Memorial Hospital of Sun Yat-sen University
Description:
The cohort of Sun Yat-Sen Memorial Hospital of Sun Yat-sen University is the validation cohort.
Treatment:
Other: No interventions

Trial contacts and locations

1

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Central trial contact

Honghua Zhang, PhD

Data sourced from clinicaltrials.gov

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