Safety assessment of magnetic resonance imaging in patients with retained cardiac leads
Safety assessment of magnetic resonance imaging in patients with retained cardiac leads
批准号:
9762904
负责人:
Laleh Golestani Rad
金额:
$7.84万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-13 至 2021-05-31
关键词:
3-DimensionalAnatomyArthritisBenefits and RisksCardiacCardiovascular systemCharacteristicsClinicalClinical ProtocolsCoiled BodiesComorbidityComputer SimulationComputing MethodologiesCouplesDataDatabasesDefibrillatorsDependenceDepositionDevelopmentDevicesDiagnosticDiseaseElectromagnetic EnergyElectromagneticsElectronicsElementsEquationFemaleFrequenciesFutureGenerationsGeometryGoalsGrowthGuidelinesHeadHeart TransplantationHeatingHuman bodyImageImaging DeviceImplantIn SituIn VitroIndividualInjuryInvestigationLabelLeadLeftLengthLocationMagnetic Resonance ImagingMalignant NeoplasmsMethodologyModelingObesityPacemakersPatient imagingPatientsPhysiologic pulsePostoperative PeriodProbabilityProceduresPropertyProtocols documentationRF coilReportingResolutionRiskSafetySomatotypeStrokeStructureSupercomputingSurfaceTemperatureThoracic RadiographyTimeTissuesUnited StatesVariantVentricular FunctionWorkX-Ray Computed Tomographyabsorptionbaseclinical imagingclinical practicecohortcomputational platformelectric fieldevidence baseexperimental studyhazardhuman modelimaging modalityin vivomagnetic fieldmalemodels and simulationnon-invasive imagingoperationpatient populationphenomenological modelsradio frequencyrepositoryrisk minimizationsafety assessmentsafety studyside effectsimulationsoft tissue
中文摘要
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英文摘要
Project Summary/Abstract
The number of patients with a cardiovascular implanted electronic device (CIED) is rapidly and constantly
growing, now comprising several million patients worldwide. It is estimated that up to 75% of all patients with
CIED will have the future need for a magnetic resonance imaging (MRI) investigation due to the high
probability of comorbidities such as stroke, lumbar disease, arthritis, or cancer in this patient population. A few
studies have assessed the safety of endocardial leads connected to working devices, but many patients
require additional procedures which lead to “lead extraction”, leaving fractions of the device left in situ, in which
case the original safety studies of the device/lead combination are not applicable. Magnetic resonance imaging
(MRI) is considered the imaging tool of choice in a wide range of diagnostic tasks, however, MRI is currently a
contraindication for patients with abandoned or retained cardiac leads. This is particularly alarming,
considering that 50% of patients undergoing heart transplantation who significantly benefit from MRI in
assessment of rejection and ventricular function have already abandoned or retained leads from a previously
implanted CIED. The major safety concern is due to the so-called “antenna effect”, where the electric field of
the MRI transmit coil couples with conductive implanted leads and amplifies energy deposition in the tissue
which leads to excessive heating and potential tissue damage. Phantom experiments have highlighted the
significant effect of lead geometry, location, and trajectory on MR-induced RF heating, yet almost nothing is
known about the actual temperature rise in the tissue in a realistic patient population. A significant challenge is
that the problem has a very large parameter space with many interacting factors that preclude the application
of a systematic experimental approach to estimate heating in the worst case scenario. This proposal aims to
develop, optimize, and validate computational methodologies that consistently and reliably predict tissue
heating in patients with retained leads during high-field MRI. As a first step, we will complete development of a
repository of 30 patient-derived realistic models of abandoned/retained leads that incorporate detailed features
of the lead structure and trajectory, co-registered in high-resolution anatomically detailed models of human
body. We will then use these patient-derived lead and body models along with experimentally validated models
of MRI transmit coils and perform full-wave electromagnetic simulations to calculate tissue heating during MRI
at both 1.5 T and 3.0 T. Dependency and sensitivity of results on parameters such as RF coil’s frequency (64
MHz, vs. 127 MHz), mode of operation (linear vs. quadrature), body model characteristics (size, number of
tissues, electric and thermal properties), and lead trajectory will be examined. Finally, we will use this
information to devise an evidence-based, patient-specific, and easy-to-use clinical guideline to help clinicians
better assess risks and benefits of performing MRI on these patients based on the particular imaging landmark
and the pulse sequence in use.
期刊论文(8)
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DOI:
10.1002/mrm.29116
发表时间:
2022-05
期刊:
Magnetic resonance in medicine
影响因子:
3.3
作者:
[Nguyen BT, Bhusal B, Rahsepar AA, Fawcett K, Lin S, Marks DS, Passman R, Nieto D, Niemzcura R, Golestanirad L]
通讯作者:
Golestanirad L
DOI:
10.1088/1361-6560/abac9f
发表时间:
2020-09-16
期刊:
Physics in medicine and biology
影响因子:
3.5
作者:
[Nguyen BT, Pilitsis J, Golestanirad L]
通讯作者:
Golestanirad L
Radiofrequency heating of retained cardiac leads during magnetic resonance imaging at 1.5 T and 3 T.
在 1.5 T 和 3 T 磁共振成像期间对保留的心脏引线进行射频加热。
DOI:
10.1109/embc46164.2021.9629867
发表时间:
2021
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
作者:
[Nguyen,BachT, Bhusal,Bhumi, Fawcett,Kate, Golestanirad,Laleh]
通讯作者:
Golestanirad,Laleh
Effect of Biophysical Model Complexity on Predictions of Volume of Tissue Activated (VTA) during Deep Brain Stimulation.
生物物理模型复杂性对深部脑刺激期间激活组织体积 (VTA) 预测的影响。
DOI:
10.1109/embc44109.2020.9175300
发表时间:
2020
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
作者:
[Jiang,Fuchang, Nguyen,BachT, Elahi,Behzad, Pilitsis,Julie, Golestanirad,Laleh]
通讯作者:
Golestanirad,Laleh
DOI:
10.1002/mrm.28818
发表时间:
2021-09
期刊:
Magnetic resonance in medicine
影响因子:
3.3
作者:
[Kazemivalipour E, Bhusal B, Vu J, Lin S, Nguyen BT, Kirsch J, Nowac E, Pilitsis J, Rosenow J, Atalar E, Golestanirad L]
通讯作者:
Golestanirad L
Novel MRI coil technology for safe imaging of children with implants
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批准号:10639661
-
项目类别:
-
资助金额:$58.2万
-
财政年份:2023
-
负责人:Laleh Golestani Rad
-
依托单位:
Assessing RF heating of active implantable medical devices in low-field MRI system
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批准号:10564463
-
项目类别:
-
资助金额:$7.28万
-
财政年份:2022
-
负责人:Laleh Golestani Rad
-
依托单位:
Assessing RF heating of active implantable medical devices in low-field MRI system
-
批准号:10709014
-
项目类别:
-
资助金额:$7.26万
-
财政年份:2022
-
负责人:Laleh Golestani Rad
-
依托单位:
Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3T
-
批准号:10445316
-
项目类别:
-
资助金额:$48.76万
-
财政年份:2021
-
负责人:Laleh Golestani Rad
-
依托单位:
Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3T
-
批准号:10217692
-
项目类别:
-
资助金额:$55.64万
-
财政年份:2021
-
负责人:Laleh Golestani Rad
-
依托单位:
Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3T
-
批准号:10654726
-
项目类别:
-
资助金额:$52.64万
-
财政年份:2021
-
负责人:Laleh Golestani Rad
-
依托单位:
Patient-adjustable MRI technology for high-resolution imaging of deep brain stimulation
-
批准号:9179807
-
项目类别:
-
资助金额:$9.46万
-
财政年份:2016
-
负责人:Laleh Golestani Rad
-
依托单位:
海外基金