Faisal S Fakhouri1,2, Youjin Cho1,3, Joshua Englert4, Samir Ghadiali1,4, and Arunark Kolipaka1,2
1Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 2Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 3College of Medicine, The Ohio State University, Columbus, OH, United States, 4Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States
Synopsis
Many pulmonary
diseases alter lung mechanical properties making lung stiffness an important
biomarker. By using a Spin-Echo Echo Planar Imaging (SE-EPI) MRE sequence, a
feasibility study was performed on 6 indeterminate pulmonary nodules (IPN)
patients to determine the shear stiffness within the nodule and compare it with
stiffness in the contralateral lung. It was found that in all the patients the median
shear stiffness within the IPN was significantly higher than in the
contralateral lung (1.77kPa vs 0.86kPa,
p=0.008) Computational models based on MRE stiffness measurements also indicate
decreased strain and increased strain gradients within the IPN.
Introduction
Lung diseases alter mechanical properties of the lung parenchyma1. One of those diseases are indeterminate
pulmonary nodules (IPN). IPN is a tumor like cluster of tissue that varies in
size and shape. IPNs are mostly benign but if the IPN size increase and/or has
irregular shapes, there is an increased chance of the IPN being malignant. If
malignant, it is crucial to initiate treatment at an early stage. However, IPNs
are mostly asymptomatic and diagnosed by using chest x-ray or CT, which are
used to track the progress of IPN’s size and shape2,3. Yet, with repetitive scans of x-ray and CT,
the radiation exposure can lead to other complications in patients. Several
studies have shown the feasibility of MRE to quantify the shear stiffness of
the lungs1,4,5, which we hypothesize will enable early diagnose
of malignant IPNs. The aim of this study was to investigate the shear stiffness
of IPN by using MRE and compare it to contralateral healthy lung parenchyma within
the same patient. Additionally, to further characterize IPN, computational
finite element modeling (FEM) techniques were used to determine deformation
patterns within the IPN that have been associated with increased metastatic
capacity (i.e. strain and strain gradients).Methods
MRE
Scans:
Six IPN
patients (5 males and a female, 59.6±10.9 years old) were scanned after using
an approved IRB. Lung MRE scans covering both lungs was performed using a
single shot SE-EPI sequence (Figure 1) in a 1.5T MR scanner (MAGNETOM Aera, Siemens Healthcare,
Erlangen, Germany). Mechanical vibration (Resoundant, Rochester, MN, USA) of
50Hz was introduced into the lungs. The single shot SE-EPI sequence was used
due to its speed of acquisition in which both right and left lungs were
acquired in a breathhold of 17 seconds for each motion-encoding direction (i.e.
X, Y, Z). Depending on the size of the lung, 11 to 17 transverse slices were
acquired with a slice thickness of 10mm. All scans were acquired during a
breathhold at residual volume (RV) without the use of respiratory navigators
and without the need of noble gas. The scan parameters included FOV of 45x45cm2,
acquisition matrix of 64x64, TR of 1020ms, and TE of 15ms. As shown in figure
1, two unipolar MEGs were placed around the 180° refocusing pulse with a period
of 2.275ms (i.e. fractional encoding with a frequency of 220Hz combined) to
achieve minimum possible TE. In addition, the MEGs were used as crushers for
the 180° refocusing. To avoid motion and N/2 ghosting artifacts, a single shot
acquisition was used with GRAPPA acceleration rate factor of 2.
Lung
density (LD) estimation scans were performed by using a GRE sequence involving four
acquisitions with different TEs of 0.98, 1.62, 2.26, and 2.90ms to calculate
T2* decay from which LD was estimated as described elsewhere5–7. LD measurement was used in the
calculation of stiffness values. Since LD changes during the respiratory cycle,
and to match the MRE measurements at RV, LD scans were performed with a 16-seconds
breathhold at RV. Lung shear stiffness
was calculated by using the 2D direct inversion algorithm (MRElab
software, Mayo Clinic, Rochester, Minnesota, USA)8. To compare the shear stiffness between IPN and
healthy lung tissue within a patient, an ROI was drawn on the IPN (blue ROI - figure 2b) and
another ROI with the same dimensions was drawn on the healthy contralateral lung
parenchyma (red ROI - figure 2b).
Computational
Modeling:
FEM was performed to
determine the strain and strain gradients in lung parenchyma in IPN patients. Patient
specific lung geometry were generated by using ImageJ and MATLAB Simulink (figure
3a). The geometry outlines, MRE shear stiffness and lung density maps were
imported into COMSOL Multiphysics (figure 3b). The imported lung was modeled as
a compressible Mooney Rivalin hyperelastic material and negative breathing pressure
was simulated.Results
MRE:
Figure 2
shows example of magnitude image and stiffness maps of the right and left lungs
in a patient diagnosed with IPN. The mean shear stiffness of the IPN (figure 2b
- right lung - blue ROI) is 7.52±2.24kPa. The mean shear stiffness of the
healthy lung parenchyma ROI (figure 2b - left lung - red ROI) is 0.41±0.19kPa. The median shear stiffness of IPN in
all the patients is 1.77kPa which is significantly higher (p=0.008) than the
healthy contralateral lung parenchyma, which has a median shear stiffness of 0.86kPa.
Computational Modeling:
Figure 4 demonstrates sample young’s modulus and first
principal strain obtained from FEM of one IPN patient. The area with the
nodules have lower strain 4.77% compared to normal lung area with normal strain
value 9.98% (figure 4b). Preliminary evaluation of strain gradient further
showed that within the lung nodule strain gradient value was higher with a strain
gradient of 29.704m-1 compared to the normal lung strain gradient
value of 21.968m-1.Discussion and Conclusion
This study
has shown that IPNs have different mechanical properties compared to healthy
lung tissue. The mean shear stiffness of IPNs is significantly higher than the normal
lung parenchyma. Our preliminary finite element analysis further showed that
strain and strain gradient can further characterize the IPN. Future work involves
understanding the growth of IPN based on stiffness as well as strain gradients.Acknowledgements
We thank the Department of
Biomedical Technology, King Saud University, Riyadh, Kingdom of Saudi Arabia,
for providing scholarship to Faisal Fakhouri. Also, we thank NIH-R01HL124096
and NCAI-18-11 for funding.References
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