Hepatic Xenetix-CT Perfusion
- Conditions
- Hepatocellular Carcinoma
- Interventions
- Drug: Xenetix-CT perfusion imaging
- Registration Number
- NCT01639703
- Lead Sponsor
- Guerbet
- Brief Summary
The purpose of this study is to prospectively determine the diagnostic value of Xenetix-CT perfusion for the discrimination between well-differentiated hepatocellular carcinomas (HCC) and poorly/moderately differentiated HCC, in histo-pathologically proven HCC, and with the aim to cover the entire liver.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 96
- Subjects diagnosed for HCC and planned for surgery (lobectomy or transplantation) within a timeframe of 30 days between first imaging procedure used for the study and surgery.
- Subjects who have undergone prior TACE (TransArterial Chemo Embolization), prior RFA (Radio Frequency Ablation) or prior SIRT (Selected Internal Radio Therapy) within one year before inclusion.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description CT perfusion Xenetix-CT perfusion imaging arm with CT perfusion
- Primary Outcome Measures
Name Time Method Permeability Surface (PS) According to Degree of Lesions Differentiation Within a week from CT perfusion to surgery The mean level of each CT perfusion parameter was compared between well differentiated and moderately/poorly differentiated lesions according to WHO classification evaluated off-site.
Blood Flow (BF) According to Degree of Lesions Differentiation Within a week from CT perfusion to surgery The mean level of each CT perfusion parameter was compared between well differentiated and moderately/poorly differentiated lesions according to WHO classification evaluated off-site.
Blood Volume (BV) According to Degree of Lesions Differentiation Within a week from CT perfusion to surgery The mean level of each CT perfusion parameter was compared between well differentiated and moderately/poorly differentiated lesions according to WHO classification evaluated off-site.
- Secondary Outcome Measures
Name Time Method Hepatic Perfusion Index (HPI) According to Degree of Lesions Differentiation Within a week from CT perfusion to surgery The mean level of each CT perfusion parameter was compared between well differentiated and moderately/poorly differentiated lesions according to WHO classification evaluated off-site.
Blood Volume According to Immunohistochemistry Parameter (Glutamine Synthetase) Within a week from CT perfusion to surgery Glutamine synthetase is an immunohistochemistry parameter of hepatocellular carcinoma phenotype.
Glutamine synthetase labelling was quantified and in case of positive quantification, classified in the following categories: 1-10%, 10-50% and \>50%. In case of absence of glutamine synthetase labelling, lesions were classified in the "glutamine synthetase 0%" category.Blood Flow According to Immunohistochemistry Parameter (Glutamine Synthetase) Within a week from CT perfusion to surgery Glutamine synthetase is an immunohistochemistry parameter of hepatocellular carcinoma phenotype.
Glutamine synthetase labelling was quantified and in case of positive quantification, classified in the following categories: 1-10%, 10-50% and \>50%. In case of absence of glutamine synthetase labelling, lesions were classified in the "glutamine synthetase 0%" category.Arterial Liver Perfusion (ALP) According to Degree of Lesions Differentiation Within a week from CT perfusion to surgery The mean level of each CT perfusion parameter was compared between well differentiated and moderately/poorly differentiated lesions according to WHO classification evaluated off-site.
Total Liver Perfusion (TLP) According to Degree of Lesions Differentiation Within a week from CT perfusion to surgery The mean level of each CT perfusion parameter was compared between well differentiated and moderately/poorly differentiated lesions according to WHO classification evaluated off-site.
TLP = ALP + PVPBlood Volume According to Immunohistochemistry Parameter (CD31) Within a week from CT perfusion to surgery CD31 is an immunohistochemistry marker of microvessel density. CD31 labelling was quantified and in case of positive quantification, classified in the following categories: 1-10%, 10-50% and \>50%. In case of absence of CD31 labelling, lesions were classified in the "CD31 0%" category.
Portal Venous Liver Perfusion (PVP) According to Degree of Lesions Differentiation Within a week from CT perfusion to surgery The mean level of each CT perfusion parameter was compared between well differentiated and moderately/poorly differentiated lesions according to WHO classification evaluated off-site.
Blood Flow According to Immunohistochemistry Parameter (CD31) Within a week from CT perfusion to surgery CD31 is an immunohistochemistry marker of microvessel density. CD31 labelling was quantified and in case of positive quantification, classified in the following categories: 1-10%, 10-50% and \>50%. In case of absence of CD31 labelling, lesions were classified in the "CD31 0%" category.
Permeability Surface According to Immunohistochemistry Parameter (Glutamine Synthetase) Within a week from CT perfusion to surgery Glutamine synthetase is an immunohistochemistry parameter of hepatocellular carcinoma phenotype.
Glutamine synthetase labelling was quantified and in case of positive quantification, classified in the following categories: 1-10%, 10-50% and \>50%. In case of absence of glutamine synthetase labelling, lesions were classified in the "glutamine synthetase 0%" category.Permeability Surface According to Immunohistochemistry Parameter (CD31) Within a week from CT perfusion to surgery CD31 is an immunohistochemistry marker of microvessel density. CD31 labelling was quantified and in case of positive quantification, classified in the following categories: 1-10%, 10-50% and \>50%. In case of absence of CD31 labelling, lesions were classified in the "CD31 0%" category.
Trial Locations
- Locations (5)
Zurich University Hospital
🇨🇭Zurich, Switzerland
SNUH
🇰🇷Seoul, Korea, Republic of
AKH
🇦🇹Vienna, Austria
Universitätsklinikum Erlangen
🇩🇪Erlangen, Germany
SMC
🇰🇷Seoul, Korea, Republic of