Luca Zilberti1, Alessandro Arduino1, Riccardo Torchio2, Umberto Zanovello1, Fabio Baruffaldi3, Paolo Bettini2, Piergiorgio Alotto2, Mario Chiampi1, and Oriano Bottauscio1
1Istituto Nazionale di Ricerca Metrologica, Torino, Italy, 2Dipartimento Ingegneria Industriale, Università degli Studi di Padova, Padova, Italy, 3Istituto Ortopedico Rizzoli, Bologna, Italy
Synopsis
Peripheral nerve
stimulation is a typical source of concern in MRI, which, in principle, could
be significantly affected by the presence of a foreign object, like an
orthopaedic prosthesis, in the body. This work investigates this possibility
through a computational approach, making use of a human model where a knee
implant has been placed, realistically, through a “virtual surgery”.
Results indicate
that the presence of the prosthesis can give rise to local enhancement of the
electric field induced by the operation of the gradient coils, hence increasing
the risk.
INTRODUCTION
Peripheral nerve stimulation (PNS) is the sensation of an activation
of the nervous system induced by low-frequency magnetic fields. In MRI, PNS can
occur due to gradient fields and represents a safety concern because it may be
uncomfortable, or even intolerably painful, for the patient. A number of scientific
articles1-8 have already discussed the problem, but, so far, no
paper has addressed the investigation of PNS for patients carrying a
prosthesis, whose presence could modify the distribution of the induced
electric field. This work provides a first evaluation of the possible
enhancement of the electric field induced around a knee prosthesis (i.e. one of
the most prevalent orthopaedic implants) with respect to the field that would
take place without it. The analysis is carried out through numerical
simulations, applied to an anatomical human model including a realistic knee
implant.METHODS
The investigation is performed on the anatomical model “Glenn”9,
whose tissue properties are characterized according to10. A “virtual
surgery” has been applied to the left leg of the model, to implant the knee
prosthesis. The latter comprises the tibial and femoral components, both made
of a CoCrMo alloy (conductivity: 1.16 MS/m) and an insulating liner (Fig. 1). To
reproduce what happens in a real surgery, some pieces of the bones have been
cut away, obtaining some voids where the implant does not replace the removed
tissues perfectly. In reality, such voids would be filled by the synovial fluid
and the re-arrangement of the soft tissues. Since the adopted database of
tissue conductivities does not include the synovial fluid, the conductivity of
the cerebrospinal fluid has been used for the filler.
The body is
exposed to a homogeneous, unit, magnetic flux density, directed along the x, or
y, or z axes, which correspond to the left-right, posterior-anterior and
feet-head directions, respectively. The simulations are performed under
sinusoidal time behavior, at 100 Hz or 1000 Hz, segmenting the models into 2 mm
cubic voxels and using a homemade code based on a Volume Integral Equation
method, accelerated by the FFT transform and Algebraic Multigrid Preconditioner,
able to take into account that the metallic objects perturb the magnetic field.
The
exposure is evaluated in a region around the knee, with a z-extent of 38 cm.
When analyzing the results for the implanted model, the voxels belonging to the
prosthesis and the filler are ignored. The corresponding voxels are discarded
also from the results of the model without implant. Following the prescriptions
given in standard IEC 60601-2-3311, i.e. adopting a rheobase = 2.2
V/m, a chronaxie = 0.36 ms and the proper effective stimulus duration (which,
for sinusoidal signals, is equal to 3.2 ms at 100 Hz and 0.32 ms at 1000 Hz),
in “normal operating mode” the MRI scanner should not induce an electric field
larger than 1.96 V/m and 3.74 V/m, at 100 Hz and 1000 Hz respectively, to avoid
triggering the PNS (with a 20 % safety factor). These values are used here as a
reference.RESULTS
The electric field induced at 1000
Hz in the region of interest is reported in Fig. 2. In order to put in evidence
both the absolute and relative discrepancies, the results have been sorted in
ascending order with reference to the situation without implant and normalized
to its maximum value. The normalised results at 100 Hz are almost coincident to
those at 1000 Hz and therefore not reported (in tissues, the field is almost
proportional to frequency). Table 1 provides the spatial peak of the electric
field corresponding to an applied magnetic flux density of 1 mT; the tissue
where such a value is found is indicated as well. The same table shows the
magnetic flux density that would be needed to reach the limit of electric field
recommended by IEC 60601-2-33. To provide a visual inspection, Fig. 3 reports
the field on a sagittal section, for the case that maximizes the enhancement of
the electric field (i.e. z-directed magnetic field).DISCUSSION AND CONCLUSIONS
In the presence of the implant, a
significant number of voxels exhibit a visible change (reduction or enhancement)
of the induced electric field. In all cases, the spatial peak gets worse with
the implant, especially for the z-oriented magnetic field. A magnetic flux
density of a few millitesla (a value that would be easily found in
correspondence of the knee, when imaging the pelvis with cylindrical MRI
scanners) is enough to rescale the electric field to the allowed limit at 1000
Hz, suggesting a potential risk. At 100 Hz the risk is lower, because the
threshold is almost halved, but the induced electric field is 10 times weaker.
This analysis must be seen as
preliminary because, in its current form, it suffers some limitations. Among
them, it is worth mentioning the use of a homogeneous magnetic field and the
absence of a detailed network of nerves in the model, which forces to monitor
the electric field in all tissues, without distinctions. Despite this, based on
the discussed outcomes, the presence of a metallic implant should be considered
as an aggravating circumstance when dealing with PNS.Acknowledgements
The
results here presented have been developed in the framework of the EMPIR
Project 17IND01 MIMAS. This project 17IND01 MIMAS has received funding from the
EMPIR programme co-financed by the Participating States and from the European
Union’s Horizon 2020 research and innovation programme.
The
authors acknowledge the support of Zurich MedTech in the development of the
implanted human model.
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