CT Perfusion Parameters Predict Vascular Pattern in Hepatocellular Carcinoma
NCT ID: NCT04715321
Last Updated: 2021-12-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
120 participants
OBSERVATIONAL
2013-02-15
2021-12-31
Brief Summary
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Detailed Description
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Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Training cohort
HCC patients enrolled in our study underwent a perfusion CT examination before surgery . We used CT perfusion parameters to predict the vascular pattern of tumors.
CT perfusion examination
CT perfusion was performed with a 64-section multidetector CT scanner. The following CT parameters were used to acquire dynamic data: blood flow (BF), blood volume (BV), mean transit time (MTT), permeability-surface area product (PS), hepatic artery ejection fraction (HAF), hepatic artery perfusion (HAP), and hepatic portal vein perfusion (PVP). And we used these parameters to predict the vascular pattern.
Validation cohort
HCC patients who would undergo a perfusion CT examination before surgery will be enrolled in our study from January 15, 2021. We use CT perfusion parameters to predict the vascular pattern of tumors.
CT perfusion examination
CT perfusion was performed with a 64-section multidetector CT scanner. The following CT parameters were used to acquire dynamic data: blood flow (BF), blood volume (BV), mean transit time (MTT), permeability-surface area product (PS), hepatic artery ejection fraction (HAF), hepatic artery perfusion (HAP), and hepatic portal vein perfusion (PVP). And we used these parameters to predict the vascular pattern.
Interventions
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CT perfusion examination
CT perfusion was performed with a 64-section multidetector CT scanner. The following CT parameters were used to acquire dynamic data: blood flow (BF), blood volume (BV), mean transit time (MTT), permeability-surface area product (PS), hepatic artery ejection fraction (HAF), hepatic artery perfusion (HAP), and hepatic portal vein perfusion (PVP). And we used these parameters to predict the vascular pattern.
Eligibility Criteria
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Inclusion Criteria
2. tumor size of less than 5 cm
3. Child-Pugh A class liver function
4. an Eastern Cooperative Oncology Group performance status of 0
5. no previous treatment for HCC
6. pathological diagnosis of hepatocellular carcinoma
7. adequate organ function (white blood cell count ≥3.0 × 109/L, absolute neutrophil count ≥1.5 × 109/L, platelet count ≥75 × 109/L, aspartate transaminase and alanine transaminase≤5 × upper limit of the normal, creatinine clearance rate of ≤1.5 × upper limit of the normal, and left ventricular ejection ≥45%)
Exclusion Criteria
2. a known medical history of HIV infection
3. pregnancy or breastfeeding
4. portal vein tumor thrombosis or hepatic vein thrombosis detected by any routine imaging modality, including ultrasonography, dynamic contrast CT and MRI
5. any evidence of tumor metastasis or prior recurrence
6. hepatic decompensation
18 Years
75 Years
ALL
No
Sponsors
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Sun Yat-sen University
OTHER
Responsible Party
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Shi Ming
Professor
Locations
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Cancer Center Sun Yat-sen University
Guangzhou, Guangdong, China
Countries
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Facility Contacts
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Ming Shi, MD
Role: primary
Other Identifiers
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SCT-01
Identifier Type: -
Identifier Source: org_study_id