May the Risk of PHLF be Predicted With Preoperative Liver Gadoxetate MRI (MR-Predict)
Primary Purpose
MRI, Liver Resection, Liver Failure as A Complication of Care
Status
Unknown status
Phase
Not Applicable
Locations
International
Study Type
Interventional
Intervention
MRI
Sponsored by
About this trial
This is an interventional prevention trial for MRI focused on measuring MRI, Postoperative liver failure, Gadolinium, Liver resection
Eligibility Criteria
Inclusion Criteria:
- Patients who have had a Primovist MRI within 8 weeks before hemihepatectomy or extended hemi-hepatectomy +/- bile duct anastomosis independent of diagnosis.
- Patients with cirrhosis who have had a Primovist MRI within 8 weeks before resection of more than one liver segment
- Patients who had liver volume augmentation with a pre-operative Primovist MRI less than 2 weeks before resection
Patients who have had a Primovist MRI within 6 weeks be-fore any liver resection where PHLF or death within 90 days occurred.
-
Exclusion Criteria:
- <18 years of age
- Resection was not performed -
Sites / Locations
- RikshospitaletRecruiting
- Helsingfors UniversitetssjukhusRecruiting
- RikshospitaletRecruiting
- Per SandströmRecruiting
- Karolinska Universitetssjukhuset HuddingeRecruiting
- Sahlgrenska sjukhusetRecruiting
- Akademiska sjukhusetRecruiting
Arms of the Study
Arm 1
Arm Type
Experimental
Arm Label
experimental arm
Arm Description
Single arm study. All patient who had an MRI performed before liver resection is included
Outcomes
Primary Outcome Measures
Contrast dynamics of Gadoxetate MRI correlation with the risk of PHLF.
MRI dynamics correlation with postoperative liver failure. Measurement of gadoxetate uptake pattern in the liver and correlation of this pattern to the risk of developing post hepatectomy liver failure.
Secondary Outcome Measures
Correlation between preoprative and postoperative risk factors and PHLF
Multivariable analysis of risk factors for Postoperative liver failure including but not limited to: Charlson score, 50:50 rule, CP, MELD, ICG, renal function, thrombocyte count, signs of portal hypertension (portal vein diameter, spleen size), type of resection, bleeding, operation time, diagnosis, neoadjuvant chemo and preoperative liver volume augmentation, MRI contrast dynamics
MRI protocol description report on method used MRI protocol description
Presentation of protochol and dynamic analysis used to predict postoperative liver failure
Full Information
NCT ID
NCT04692259
First Posted
December 29, 2020
Last Updated
December 30, 2020
Sponsor
University Hospital, Linkoeping
1. Study Identification
Unique Protocol Identification Number
NCT04692259
Brief Title
May the Risk of PHLF be Predicted With Preoperative Liver Gadoxetate MRI
Acronym
MR-Predict
Official Title
Is It Possible To Predict PHLF? - Retrospective Analysis of Gadoxetate MRI Prior To Major Liver Resection
Study Type
Interventional
2. Study Status
Record Verification Date
December 2020
Overall Recruitment Status
Unknown status
Study Start Date
December 29, 2020 (Actual)
Primary Completion Date
December 31, 2021 (Anticipated)
Study Completion Date
December 31, 2022 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University Hospital, Linkoeping
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No
5. Study Description
Brief Summary
Post hepatectomy liver failure (PHLF) is one of the most severe complications after liver re-section. Preoperative evaluation of liver function is complicated and imprecise. The volume and function needed for each individual patient is unknown and the methods used for evaluation are uncertain. Preoperative MRI with Gadolinium may give dynamic information regarding liver function correlating with postoperative liver failure. A retrospective analysis will be performed regarding this topic.
Detailed Description
Post hepatectomy liver failure (PHLF) is one of the most severe complications after liver re-section. Preoperative evaluation of liver function is complicated and imprecise. The volume and function needed for each individual patient is unknown and the methods used for evaluation are uncertain. Arbitrary volume limits have been postulated but still there are patients dying of PHLF with volumes well above these limits.
On multivariate analyses, age ≥70 years, pre-operative chemotherapy, steatosis, resection of >3 segments, vascular reconstruction and intraoperative blood loss >300 mL significantly increased the risk of PHLF. Combining ISGLS grades B and C groups resulted in a high sensitivity for predicting mortality compared to the 50-50 rule and Peak bilirubin >7 mg/dL.
For patients with low volume of the future liver remnant (FLR) there are techniques to in-crease the volume prior to resection. Portal vein embolization (PVE) is an established meth-od, whereas associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) is relatively new. Augmentation of the volume of the FLR is indicated for patients with FLR less than 20%, provided no intrinsic liver disease exists, 30% after chemotherapy and 40% for patients with compromised liver function, for example liver cirrhosis.
Both methods, PVE and ALPPS, have high risks of morbidity and mortality, especially post hepatectomy liver failure (PHLF), why other alternatives are evaluated. Liver venous depri-vation (LVD), adds liver vein/s occlusion with a plug/plugs when PVE is performed or after PVE. Preliminary data indicate that the growth rate with this percutaneous method is equivalent to ALPPS with function following in parallel. Still all three methods add one extra treatment stage to increase liver volume of the FLR but still suffers the risk of PHLF. Furthermore, a large group of patients is treated with one stage hepatectomy where the volume and function also may be limited.
Liver volume estimation has been the main method to ensure safe resections, but as many studies have explored functional tests with the goal of increasing safety. The most used ones are Indocyanine green (ICG), maximum liver function capacity (LiMax) , Child Pugh (CP) score and Hepatobiliary scintigraphy (HBS). Still, none of these, alone or in combination have been able to completely ameliorate this dreadful complication. In addition, the cut-off levels for resection for each of these methods are arbitrary, mainly because PHLF is relative-ly rare as are major liver resections. Furthermore, all the tests are time consuming, costly and demanding for the patients.
The development of liver gadoxetate (=Primovist) MRI has given hope that this method may provide similar information as that of hepatobiliary scintigraphy (HBS), but with a higher resolution of liver function on a segmental level and at the same time enable liver volume estimation of the FLR as well as tumour burden and anatomy. In addition, MRI may also add quantitative information regarding steatosis, fibrosis (MRE) and iron content, factors previ-ously not included in any test used to estimate liver function.
So, with one modality most of the information gathered with all the other methods could possibly be incorporated into one.
Data regarding the increase in volume, as well as function, during the first week after PVE/ALPPS/LVD is sparse. Previous studies have shown that after PVE the increase in func-tion in the non-embolized lobe is larger than the increase in volume. The opposite has been shown for patients operated with ALPPS where the increase in volume was larger than the increase in function.
HBS has become common in several centers to estimate the liver function prior to major hepatectomy, including TSH and ALPPS. One disadvantage is the relatively poor spa-tial resolution which therefore necessitates another radiological study to assess the tumor burden in the liver. Dynamic gadoxetate MRI has been shown to be comparable with HBS to assess the liver function, with a very strong correlation between the two methods. Also, in PVE patients, it strongly indicates the risk of PHLF after resection when there is no in-creased enhancement in the FLR after 2 weeks.
Liver MRI is increasingly used prior to liver resection for analysis of liver tumour burden and anatomy. The long-term goal of this project is to find simple functional measures that can be obtained from the standard clinical MRI used today in everyday clinical practice. In this way we would ultimately have a method to both evaluate segmental function (gadoxetate), fat and iron storage, fibrosis, volume, tumour burden and anatomy.
Study aim The overall aim of this retrospective study is to evaluate if a preoperative MRI with liver specific contrast agent (gadoxetate, aka Primovist) add segmental functional information and if this information can be used to predict PHLF more accurate than with FLR calculation alone. Thus, the result of the functional analysis will be used to identify factors in the MRI examination that correlates to the risk of PHLF. Based on the gadoxetate MRI data, a pro-spective clinical trial will be designed afterwards to validate the results of this retrospective study. The final goal is to establish a pre-operative workup based on a Primovist MRI proto-col, providing a robust and predictive functional and volumetric measure in all preoperative examinations. This might contribute to a more accurate risk assessment of patients sched-uled for hepatcetomy, thus reducing both post-operative, PHLF related morbidity and mortality.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
MRI, Liver Resection, Liver Failure as A Complication of Care
Keywords
MRI, Postoperative liver failure, Gadolinium, Liver resection
7. Study Design
Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
Retrospective analysis of correlation between MRI dynamics and the risk of postoperative liver failure after liver resection.
Masking
None (Open Label)
Allocation
N/A
Enrollment
200 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
experimental arm
Arm Type
Experimental
Arm Description
Single arm study. All patient who had an MRI performed before liver resection is included
Intervention Type
Diagnostic Test
Intervention Name(s)
MRI
Intervention Description
Liver MRI before liver resection
Primary Outcome Measure Information:
Title
Contrast dynamics of Gadoxetate MRI correlation with the risk of PHLF.
Description
MRI dynamics correlation with postoperative liver failure. Measurement of gadoxetate uptake pattern in the liver and correlation of this pattern to the risk of developing post hepatectomy liver failure.
Time Frame
2 years
Secondary Outcome Measure Information:
Title
Correlation between preoprative and postoperative risk factors and PHLF
Description
Multivariable analysis of risk factors for Postoperative liver failure including but not limited to: Charlson score, 50:50 rule, CP, MELD, ICG, renal function, thrombocyte count, signs of portal hypertension (portal vein diameter, spleen size), type of resection, bleeding, operation time, diagnosis, neoadjuvant chemo and preoperative liver volume augmentation, MRI contrast dynamics
Time Frame
2 years
Title
MRI protocol description report on method used MRI protocol description
Description
Presentation of protochol and dynamic analysis used to predict postoperative liver failure
Time Frame
[Time Frame: 2 years
10. Eligibility
Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
Patients who have had a Primovist MRI within 8 weeks before hemihepatectomy or extended hemi-hepatectomy +/- bile duct anastomosis independent of diagnosis.
Patients with cirrhosis who have had a Primovist MRI within 8 weeks before resection of more than one liver segment
Patients who had liver volume augmentation with a pre-operative Primovist MRI less than 2 weeks before resection
Patients who have had a Primovist MRI within 6 weeks be-fore any liver resection where PHLF or death within 90 days occurred.
-
Exclusion Criteria:
<18 years of age
Resection was not performed -
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Per Sandström, Prof
Phone
+46734058581
Email
per.sandstrom@liu.se
First Name & Middle Initial & Last Name or Official Title & Degree
Bergthor Bjornsson, MD PhD
Phone
+46101033666
Email
bergthor.bjornsson@liu.se
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Per Sandström, Prof
Organizational Affiliation
Academic study
Official's Role
Principal Investigator
Facility Information:
Facility Name
Rikshospitalet
City
Copenhagen
Country
Denmark
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Peter Noergaard Larsen, MD PhD
Email
penola@hotmail.com
First Name & Middle Initial & Last Name & Degree
Eva Fallentin, MD
Email
eva.fallentin@regionh.dk
Facility Name
Helsingfors Universitetssjukhus
City
Helsinki
Country
Finland
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Ville Sallinen, MD PhD
Email
ville.sallinen@helsinki.fi
First Name & Middle Initial & Last Name & Degree
Ali Ovissi, MD
Email
ali.ovissi@hus.fi
Facility Name
Rikshospitalet
City
Oslo
Country
Norway
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Bård Rösok, MD PhD
Email
brosok@ous-hf.no
Facility Name
Per Sandström
City
Linköping
State/Province
Ostergotland
ZIP/Postal Code
58185
Country
Sweden
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Per Sandström, Prof
Phone
+46734058581
Email
per.sandstrom@liu.se
First Name & Middle Initial & Last Name & Degree
Bergthor Bjornsson, MD PhD
Phone
+46101033666
Email
bergthor.bjornsson@liu.se
Facility Name
Karolinska Universitetssjukhuset Huddinge
City
Stockholm
State/Province
Södermanland
Country
Sweden
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Ernesto Sparrelid, MD PhD
Phone
+47708880787
Email
ernesto.sparrelid@karolinska.se
First Name & Middle Initial & Last Name & Degree
Stefan Gilg, MD PhD
Email
stefan.gilg@karolinska.se
Facility Name
Sahlgrenska sjukhuset
City
Göteborg
Country
Sweden
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Magnus Rizell, MD PhD
Email
magnus.rizell@surgery.gu.se
First Name & Middle Initial & Last Name & Degree
Leila Faez, MD
Facility Name
Akademiska sjukhuset
City
Uppsala
Country
Sweden
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Jozef Urdzik, MD PhD
Email
jozef.urdzik@akademiska.se
First Name & Middle Initial & Last Name & Degree
Thomas Bjerner, MD
Email
thomas.bjerner@akademiska.se
12. IPD Sharing Statement
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May the Risk of PHLF be Predicted With Preoperative Liver Gadoxetate MRI
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