MedPath

Hepatic Xenetix-CT Perfusion

Phase 4
Completed
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
Inclusion Criteria
  • 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.
Exclusion Criteria
  • 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
GroupInterventionDescription
CT perfusionXenetix-CT perfusion imagingarm with CT perfusion
Primary Outcome Measures
NameTimeMethod
Permeability Surface (PS) According to Degree of Lesions DifferentiationWithin 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 DifferentiationWithin 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 DifferentiationWithin 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
NameTimeMethod
Hepatic Perfusion Index (HPI) According to Degree of Lesions DifferentiationWithin 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 DifferentiationWithin 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 DifferentiationWithin 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 + PVP

Blood 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 DifferentiationWithin 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

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