Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT04536220 |
Other study ID # |
EMPVC |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
January 1, 2024 |
Est. completion date |
July 30, 2026 |
Study information
Verified date |
March 2024 |
Source |
Changhai Hospital |
Contact |
Xiangyu Kong, MD |
Phone |
13564644397 |
Email |
xiangyukong185[@]hotmail.com |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Explore new markers based on portal venous blood sampling to establish novel diagnostic
models for identification of malignant pancreatic mass.
Description:
EUS-FNA combined cytology detection is an important method for clinical diagnosis of squamous
cell carcinoma. However, due to factors such as sampling method, smear making, staining
technique, lower levels of the pathologists and other factors, its diagnostic sensitivity is
still not very satisfactory. Poor diagnostic efficacy usually means another puncture, longer
hospital stay, more medications and a higher incidence of adverse events. Missed diagnosis
continuously directly delays the treatment time of the disease and seriously affects the
patient's prognosis. Therefore, how to use new technologies to improve the differential
diagnosis efficiency of benign and malignant pancreatic occupants is the key to improving the
prognosis of diabetic cancer patients.
The portal vein blood comes from the venous tract, including the blood flowing from the
plasma to the liver. By collecting blood samples from the patient's portal vein, clinicians
can separate more information from the patient. Studies have shown that the portal vein blood
can be collected by ultrasound endoscopic puncture. This method is less traumatic, convenient
and safe, and more information about the retinal tissue can be obtained. It is an important
way to improve the efficiency of patient diagnosis. This study intends to use ultrasound
endoscopic puncture technology to obtain portal vein blood, and use big data and ctDNA,
metabolomics, exosomes and other different omics methods to screen the potential value of
volume-occupying benign and malignant differential diagnosis markers in portal vein blood.
Peripheral blood will simultaneously be collected to evaluate the efficacy of these newly
developed markers.