Ignite Creation Date:
2024-05-06 @ 1:54 PM
Last Modification Date:
2024-10-26 @ 1:21 PM
Study NCT ID:
NCT04150653
Status:
RECRUITING
Last Update Posted:
2023-03-10
First Post:
2019-11-01
Brief Title:
Non-invasive Aortic Aneurysm Tissue Characterization Using Wall Viscoelasticity
Sponsor:
Centre hospitalier de lUniversité de Montréal CHUM
Organization:
Centre hospitalier de lUniversité de Montréal CHUM
Study Overview
Official Title:
Non-invasive Aortic Aneurysm Tissue Characterization Using Wall Viscoelasticity
Status:
RECRUITING
Status Verified Date:
2023-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
AAA multiphase
Brief Summary:
Abdominal aortic aneurysm AAA is an abnormal dilatation of the aorta in the abdomen due to a wall weakening caused by atherosclerosis While indications for a rupture intervention are based on AAA maximal diameter MaxD 5 cm 23 of ruptured AAAs are less than 5 cm and in large AAAs rupture rate could be lower than expected We propose to expand and validate our vascular ultrasound elastography software to 3D Strain maps generated from radiofrequency RF data acquired from 30 AAA patients with a matrix-array 3D probe will be registered to conventional CT phase 1 and validated to a biomechanical for characterization of AAA wall assessing vulnerability and influence of surrounding tissues phase 2 At the end of the project we will have analyzed 3D strain maps to improve patient selection before surgery
Detailed Description:
BACKGROUND - Abdominal aortic aneurysm AAA rupture is the 13th cause of death in North America The indications for a procedure to prevent rupture are based on AAA maximal diameter However it is a dichotomic criteria leading to under or over estimation of rupture risk Biomechanics based criteria have been investigated using Finite Elements Analysis FEA The limitation of FEA is the absence of patient specific biomechanical information Our team have previously developped a technique to map in-vivo the strain of AAAs named non-invasive vascular elastography by ultrasound NIVE However it relies on 2D ultrasound series whereas new matrix- array probes allow a 3D mapping of the strain at a lower temporal resolution We propose to create a 3D mapping of AAA strain with 3D ultrasound and register the strain mapping on a single phase CT
In the project we plan to acquire multi-modal imaging from 30 AAA patients scheduled for an elective repair will be recruited A 3D NIVE examination and multiphase CT will be performed on each patient within less than one month of their surgery A portion of the AAA wall will be harvested during surgery to correlate strains with tensile tests and histology Following the implementation of NIVE processing and 3D registration the NIVE and multiphase CT strain values will be calculated and if necessary controlled for the measurement of blood pressure AAA maximal diameter calcium load gender and age A FEA model developed at U of Calgary will be personalized using the calculation of in-vivo strains Comparison of strain measurement between NIVE and multiphase CT correlation of strain measurements and personalized FEA with AAA growth will constitute secondary endpoints Following the complete validation of this personalized model we anticipate this will provide predictive biomarkers for AAA vulnerability
OBJECTIVES - Primary objectives 1 Acquire a multimodal image dataset multiphase CT 3D US from 30 AAA patients undergoing repair surgery phase 1 2 Optimize and validate in vitro the NIVE acquisition protocol and the image registration algorithm between NIVE and one phase of the multiphase CT phase 1 3 Compare the principal strain distribution assessed with 3D NIVE registered on conventional CT and those imaged with multiphase CT acquisition phase 1 4 Validate both approaches with histology and tensile test on AAA samples phase 2
Main hypothesis Strain maps with 3D NIVE registered on single phase CT provide an accurate in-vivo estimation of AAA wall strength and yield similar accuracy to strain from multiphase CT to assess AAA vulnerability
METHODOLOGY Phase 1 only will be done for the moment - Design We plan a prospective study involving 30 AAA patients scheduled for elective open repair For the phase 1 of the study we will perform in all patients a NIVE examination and multiphase CT within less than one month of their surgery For the phase 2 of the study patient undergoing open surgery will be recruited A portion of the AAA wall will be harvested during surgery outside of scope of the pilot study in order to perform biaxial tensile tests and histology examination Patients will be recruited at the Centre hospitalier de lUniversité de Montréal CHUM and Glen campus McGill University
Data analysis Spearman correlation accuracy evaluated by mean error and standard deviation intraclass correlation coefficient Bland-Altmann analysis mixed linear model to evaluate the influence of sex MaxD pulse pressure calcification score on strain NIVE multiphase CT measurements
RATIONALE AND IMPACT - Ruptured AAA rAAA is a life-threatening situation which is the 13th mortality cause in USA Endovascular aneurysm repair EVAR is often preferred for rAAA for its lower morbidity and mortality as compared with OR 16 versus 5 But these data show the maximal diameterrupture relationship to be nonlinear and inaccurate to predict rupture New imaging biomarkers to predict AAA growth and rupture are therefore needed There is also a need to personalize the tissue modeling with in vivo assessment of AAA wall strain to improve prediction of AAA rupture or growth At the end of the study we anticipate to have complete validation of this non-invasive assessment of AAA wall vulnerability using US-CT fusionthat will constitute the basis of a personalized assessment of AAA vulnerability The strain mapping can be used to improve patient selection or be incorporated in a FEA model Our personalized predictive model will also be useful for EVAR procedure simulation planning and guidance
In the project we plan to acquire multi-modal imaging from 30 AAA patients scheduled for an elective repair will be recruited A 3D NIVE examination and multiphase CT will be performed on each patient within less than one month of their surgery A portion of the AAA wall will be harvested during surgery to correlate strains with tensile tests and histology Following the implementation of NIVE processing and 3D registration the NIVE and multiphase CT strain values will be calculated and if necessary controlled for the measurement of blood pressure AAA maximal diameter calcium load gender and age A FEA model developed at U of Calgary will be personalized using the calculation of in-vivo strains Comparison of strain measurement between NIVE and multiphase CT correlation of strain measurements and personalized FEA with AAA growth will constitute secondary endpoints Following the complete validation of this personalized model we anticipate this will provide predictive biomarkers for AAA vulnerability
OBJECTIVES - Primary objectives 1 Acquire a multimodal image dataset multiphase CT 3D US from 30 AAA patients undergoing repair surgery phase 1 2 Optimize and validate in vitro the NIVE acquisition protocol and the image registration algorithm between NIVE and one phase of the multiphase CT phase 1 3 Compare the principal strain distribution assessed with 3D NIVE registered on conventional CT and those imaged with multiphase CT acquisition phase 1 4 Validate both approaches with histology and tensile test on AAA samples phase 2
Main hypothesis Strain maps with 3D NIVE registered on single phase CT provide an accurate in-vivo estimation of AAA wall strength and yield similar accuracy to strain from multiphase CT to assess AAA vulnerability
METHODOLOGY Phase 1 only will be done for the moment - Design We plan a prospective study involving 30 AAA patients scheduled for elective open repair For the phase 1 of the study we will perform in all patients a NIVE examination and multiphase CT within less than one month of their surgery For the phase 2 of the study patient undergoing open surgery will be recruited A portion of the AAA wall will be harvested during surgery outside of scope of the pilot study in order to perform biaxial tensile tests and histology examination Patients will be recruited at the Centre hospitalier de lUniversité de Montréal CHUM and Glen campus McGill University
Data analysis Spearman correlation accuracy evaluated by mean error and standard deviation intraclass correlation coefficient Bland-Altmann analysis mixed linear model to evaluate the influence of sex MaxD pulse pressure calcification score on strain NIVE multiphase CT measurements
RATIONALE AND IMPACT - Ruptured AAA rAAA is a life-threatening situation which is the 13th mortality cause in USA Endovascular aneurysm repair EVAR is often preferred for rAAA for its lower morbidity and mortality as compared with OR 16 versus 5 But these data show the maximal diameterrupture relationship to be nonlinear and inaccurate to predict rupture New imaging biomarkers to predict AAA growth and rupture are therefore needed There is also a need to personalize the tissue modeling with in vivo assessment of AAA wall strain to improve prediction of AAA rupture or growth At the end of the study we anticipate to have complete validation of this non-invasive assessment of AAA wall vulnerability using US-CT fusionthat will constitute the basis of a personalized assessment of AAA vulnerability The strain mapping can be used to improve patient selection or be incorporated in a FEA model Our personalized predictive model will also be useful for EVAR procedure simulation planning and guidance
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None