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Liver Resection Modeling (LRM)

Primary Purpose

Benign Liver Tumor, Malignant Tumor Liver, Cirrhosis

Status
Unknown status
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
partial hepatectomy by laparotomy on healthy or pathologic parenchyma.
Sponsored by
Assistance Publique - Hôpitaux de Paris
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional other trial for Benign Liver Tumor

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Adults ≥18 years old informed and consenting.
  • Partial hepatectomy by laparotomy (open approach).
  • Access to intraoperative measurements of vascular pressures and flow rates.
  • Major patients (age≥18 years)
  • Hepatic pathology requiring minor or major hepatectomy by laparotomy
  • Affiliation to a social security scheme
  • Written consent to participate in this research

Exclusion Criteria:

  • Pregnant or breastfeeding women,
  • Patient under guardianship or curatorship
  • Refusal to participate in the study
  • Contraindication to performing MRI.
  • Patient already included in an interventional study

Sites / Locations

    Arms of the Study

    Arm 1

    Arm Type

    Other

    Arm Label

    only one arm (resected patients)

    Arm Description

    liver resection group

    Outcomes

    Primary Outcome Measures

    Estimation of the intraoperative portocaval post-hepatectomy gradient This pressure differential is performed before the parietal closure, after resection. We consider that the simulation is accurate if the difference with the measurement is ≤ 4 mmHg.

    Secondary Outcome Measures

    Prediction of changes in cardiac output, hepatic artery and portal vein after hepatectomy.
    Prediction of changes in hepatic artery flow
    Prediction of changes in portal vein flow

    Full Information

    First Posted
    July 1, 2019
    Last Updated
    July 15, 2019
    Sponsor
    Assistance Publique - Hôpitaux de Paris
    Collaborators
    Institut National de Recherche en Informatique et en Automatique
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    1. Study Identification

    Unique Protocol Identification Number
    NCT04023136
    Brief Title
    Liver Resection Modeling
    Acronym
    LRM
    Official Title
    Haemodynamic Modeling of Intrahepatic Blood Flow and Interaction With the Systemic Circulation
    Study Type
    Interventional

    2. Study Status

    Record Verification Date
    June 2019
    Overall Recruitment Status
    Unknown status
    Study Start Date
    July 15, 2019 (Anticipated)
    Primary Completion Date
    May 15, 2020 (Anticipated)
    Study Completion Date
    May 15, 2020 (Anticipated)

    3. Sponsor/Collaborators

    Responsible Party, by Official Title
    Sponsor
    Name of the Sponsor
    Assistance Publique - Hôpitaux de Paris
    Collaborators
    Institut National de Recherche en Informatique et en Automatique

    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
    Despite the medical and surgical progress of the last two decades, the selection of candidates for liver surgery remains based on old principles and insufficiently sensitive to fine-tune the gesture to patient-specific characteristics and make almost zero risks of postoperative liver failure (PLF) and death. It is therefore necessary to develop new tools that will make possible to predict the evolution of the postoperative portocaval gradient (difference of pressure between portal vein and vena cava), a well-known major risk factor for PLF. Hemodynamic modeling of the human liver during surgery will represent the purpose of this work in order to help the clinicians in their patient's selection and anticipation of postoperative risk.
    Detailed Description
    Introduction: Surgical management of liver cancers is increasingly complex, with often extensive and iterative resections on pathological liver. This attitude is made possible by good selection and perioperative management of patients, as well as the regenerative capacity of the liver. However, even if extensive resections are routinely performed, the limit remains the risk of postoperative liver failure (PLF), especially in patients with chronic liver disease. Despite many known risk factors, some of which being preventable, PLF and / or postoperative decompensation (ascites) remain common complications (incidence > 5%) and PLF is one of the leading causes of postoperative death. The difficulty lies in the choice of a treatment adapted to the oncological needs, with the balance between what is technically feasible and what will be functionally and metabolically tolerated. This balance is based on a surgical evaluation, based on objective factors (liver volumetry and biological tests for example) and on the surgeon's experience. This estimate is imperfect, the proof being the mortality at 3 months after hepatectomy which remains high, 5 to 7%. Moreover, the current criteria lead to an often-inappropriate selection. It therefore remains very difficult for a given patient (particularly cirrhotic) to accurately predict the risk of postoperative decompensation and some patients may sometimes be undertreated for fear of decompensation. In these patients, it is therefore a loss of chance. It would be obviously possible to further improve these results and numerical tools must find their place in the medico-surgical algorithm. The investigators think that hemodynamic simulation could be used as a decision-making tool. After hepatectomy, the post-resection portocaval gradient is one of the most relevant reflections for understanding the hemodynamic conditions of a liver and the risk of PLF but it is only available intraoperatively, after completion of the surgical procedure, and is therefore not used as a tool for selecting candidates for surgery. Moreover, for a given patient, it is not currently possible to anticipate the variation of portocaval gradient and therefore the risk of occurrence of PLF. The hypothesis based on experimental results in animals, consists in proposing a model of intrahepatic and systemic hemodynamics pre / postoperative scale 0D, that is to say in the form of simplified electrical circuit. The investigators can thus predict the evolution of the portocaval gradient in order to better select patients who are candidates for liver resection. Description of Acts and Proceedings Added by Research To perform 0D modeling on human data to predict evolution of post-resection hepatic/systemic flows and pressures. Intraoperative flow measurement: installation of a certified CE marked (93/42EEC) and certified ISO9001 / EN46001 sensor around the portal vein and / or the hepatic artery during the procedure in order to estimate blood flow. Acquisition time: 5 min / patient / measurement (1 pre-resection measurement, 1 post-resection measurement). No injection or vascular puncture will be necessary for this acquisition. The risk of trauma is almost zero (no reported cases). The probe will be sterilized between two patients. MRI flow: addition of a specific acquisition sequence performed during a "standard" MRI indicated in the preoperative assessment. No intravascular injection required, no irradiation (magnetic field only). Acquisition time: about 5 minutes. MRI performed in routine (unless contraindicated) to all patients operated for a hepatectomy for positive assessment (tumor characterization) and tumor extension. Potential Benefits There is no individual benefit because no clinical decision will be made during this study on the findings of the specific examinations carried out. In addition, 0D simulations will be performed after surgery, retrospectively. On the other hand, there is a collective benefit expected from a positive study because the surgeons will then have additional tools to develop their decisional algorithm and adapt their technical gesture. Benefits = avoid cases of PLF, limit the risk of postoperative death. The foreseeable risks for patients are considered minimal because: Flow measurement is a routine procedure for some teams, with no reported risk since a simple probe / vessel contact is required. No vascular puncture or possible trauma. Constraint: additional anesthesia duration = 5 min / measurement The flow MRI has no specific risk since it is simply an "extra" acquisition sequence, performed following the other sequences, without injection of contrast medium. Constraint = MRI duration extended by approximately 5 minutes. The extension of the anesthesia, due to the measurement of the flow measurement, is considered as risk-free by our team of anesthesiologists because it is about surgical operations lasting usually> 6 hours, with a cardio-vascular monitoring and systematic neurological. No specific anesthetic drugs will be administered in addition to the usual operative / anesthetic practice. Experimental plan Prognostic and prospective research (prediction of the occurrence of a potentially lethal risk for the patient). This study will be non-comparative and uncontrolled because at the actual stage of development, The investigators only want to apply and transpose to the human digital tools of decision support (pilot study). Description of the statistical methods planned. Calculation of the number of subjects needed: This study is comparable to a phase II study. In order to evaluate the predictive reliability of the portocaval gradient, it is necessary to proceed according to a Simon mini max design in two stages. The feasibility hypotheses are p0 = 70%, p1 = 90%, risk α = 5%, power = 90%. In the first stage, 18 patients will be included and analyzed. If the reliability (portocaval gradient predicted with a margin of error +/- 4 mmHg) is not objectified in at least 13 patients, the recruitment will be stopped and The investigators will rework the algorithm in depth, for example by modifying the input data (= clinical-biological parameters introduced in the model). The investigators will test the new version of the model on the same 18 first patients until validation in at least 13 patients. If ≥13 patients have a reliable prediction, then 14 additional patients will be recruited. The total number will be 32 patients. To be considered potentially interesting, at least 26 patients will have to have a reliable prediction at +/- 4 mmHg ". All statistical analyzes will be performed with STATA version 15.1 software (StataCorp LLC, TX, USA). A statistical analysis plan will be drafted and finalized before closure of the study that is to say the freezing of the base. The Statistical Analysis Plan will provide all detailed analyzes of the primary and secondary endpoints. All statistical tests will be bilateral with a risk of the first species at 5%. Raw analysis: The raw analysis will be intent-to-treat analysis including recruited patients. Methods planned for the analysis: Main analysis: Analysis of the primary endpoint will be made by intent to treat. The reliability analysis will be performed by a Chi 2 or Fisher exact test if the number is less than 5. No adjustment will be made. Secondary analysis: Secondary analyses will be performed in the intent-to-treat population. The binary criteria will be analyzed by a Chi 2 or Fisher exact test if the number is less than 5, the quantitative criteria by a paired t test. Methods of analysis of missing data: No analysis is planned for missing data Quantitative data will be expressed on average (+/- SD). A Mann-Whitney test will be used for continuous data and a Chi-2 (or Fisher if applicable) test for categorical data.

    6. Conditions and Keywords

    Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
    Benign Liver Tumor, Malignant Tumor Liver, Cirrhosis

    7. Study Design

    Primary Purpose
    Other
    Study Phase
    Not Applicable
    Interventional Study Model
    Single Group Assignment
    Masking
    None (Open Label)
    Allocation
    N/A
    Enrollment
    55 (Anticipated)

    8. Arms, Groups, and Interventions

    Arm Title
    only one arm (resected patients)
    Arm Type
    Other
    Arm Description
    liver resection group
    Intervention Type
    Procedure
    Intervention Name(s)
    partial hepatectomy by laparotomy on healthy or pathologic parenchyma.
    Intervention Description
    Preoperative flow and MRI + intraoperative measures of flow and pressures
    Primary Outcome Measure Information:
    Title
    Estimation of the intraoperative portocaval post-hepatectomy gradient This pressure differential is performed before the parietal closure, after resection. We consider that the simulation is accurate if the difference with the measurement is ≤ 4 mmHg.
    Time Frame
    prtocaval gradient (difference between portal pressure and caval pressure assessend during surgery.
    Secondary Outcome Measure Information:
    Title
    Prediction of changes in cardiac output, hepatic artery and portal vein after hepatectomy.
    Time Frame
    Measures perormed during surgery
    Title
    Prediction of changes in hepatic artery flow
    Time Frame
    Measures perormed during surgery
    Title
    Prediction of changes in portal vein flow
    Time Frame
    Measures perormed during surgery

    10. Eligibility

    Sex
    All
    Minimum Age & Unit of Time
    18 Years
    Accepts Healthy Volunteers
    No
    Eligibility Criteria
    Inclusion Criteria: Adults ≥18 years old informed and consenting. Partial hepatectomy by laparotomy (open approach). Access to intraoperative measurements of vascular pressures and flow rates. Major patients (age≥18 years) Hepatic pathology requiring minor or major hepatectomy by laparotomy Affiliation to a social security scheme Written consent to participate in this research Exclusion Criteria: Pregnant or breastfeeding women, Patient under guardianship or curatorship Refusal to participate in the study Contraindication to performing MRI. Patient already included in an interventional study
    Central Contact Person:
    First Name & Middle Initial & Last Name or Official Title & Degree
    Golse Nicolas, M.D
    Phone
    06 71 28 24 03
    Email
    nicolasgolse@me.com
    First Name & Middle Initial & Last Name or Official Title & Degree
    Vibert Eric, M.D
    Phone
    06 60 64 96 97
    Email
    eric.vebert.pbr@gmail.com

    12. IPD Sharing Statement

    Learn more about this trial

    Liver Resection Modeling

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