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Vargas AI, Tarraf SA, Jennings T, Bellini C, Amini R. Vascular Remodeling During Late-Gestation Pregnancy: An In-Vitro Assessment of the Murine Ascending Thoracic Aorta. J Biomech Eng 2024; 146:071004. [PMID: 38345599 DOI: 10.1115/1.4064744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Indexed: 03/20/2024]
Abstract
Maternal mortality due to cardiovascular disease is a rising concern in the U.S. Pregnancy triggers changes in the circulatory system, potentially influencing the structure of the central vasculature. Evidence suggests a link between a woman's pregnancy history and future cardiovascular health, but our understanding remains limited. To fill this gap, we examined the passive mechanics of the murine ascending thoracic aorta during late gestation. By performing biaxial mechanical testing on the ascending aorta, we were able to characterize the mechanical properties of both control and late-gestation tissues. By examining mechanical, structural, and geometric properties, we confirmed that remodeling of the aortic wall occurred. Morphological and mechanical properties of the tissue indicated an outward expansion of the tissue, as reflected in changes in wall thickness (∼12% increase) and luminal diameter (∼6% increase) at its physiologically loaded state in the pregnant group. With these geometric adaptations and despite increased hemodynamic loads, pregnancy did not induce significant changes in the tensile wall stress at the similar physiological pressure levels of the pregnant and control tissues. The alterations also included reduced intrinsic stiffness in the circumferential direction (∼18%) and reduced structural stiffness (∼26%) in the pregnant group. The observed vascular remodeling maintained the elastic stored energy of the aortic wall under systolic loads, indicating preservation of vascular function. Data from our study of pregnancy-related vascular remodeling will provide valuable insights for future investigations of maternal cardiovascular health.
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Affiliation(s)
- Ana I Vargas
- Department of Bioengineering, Northeastern University, Boston, MA 02115
| | - Samar A Tarraf
- Department of Bioengineering, Northeastern University, Boston, MA 02115
- Northeastern University
| | - Turner Jennings
- Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, MA 02115
- Northeastern University
| | - Chiara Bellini
- Department of Bioengineering, Northeastern University, Boston, MA 02115
| | - Rouzbeh Amini
- Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, MA 02115
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Sebastian F, Vargas AI, Clarin J, Hurgoi A, Amini R. Meta Data Analysis of Sex Distribution of Study Samples Reported in Summer Biomechanics, Bioengineering, and Biotransport Annual Conference Abstracts. J Biomech Eng 2024; 146:060906. [PMID: 37943115 DOI: 10.1115/1.4064032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/05/2023] [Indexed: 11/10/2023]
Abstract
The biased use of male subjects in biomedical research has created limitations, underscoring the importance of including women to enhance the outcomes of evidence-based medicine and to promote human health. While federal policies (e.g., the 1993 Revitalization Act and the 2016 Sex as a Biological Variable Act) have aimed to improve sex balance in studies funded by the National Institutes of Health (NIH), data on sex inclusivity in non-NIH funded research remain limited. The objective of this study was to analyze the trend of sex inclusion in abstracts submitted to the Summer Biomechanics, Bioengineering, & Biotransport Conference (SB3C) over 7 years. We scored every abstract accepted to SB3C, and the findings revealed that approximately 20% of total abstracts included sex-related information, and this trend remained stable. Surprisingly, there was no significant increase in abstracts, including both sexes and those with balanced female and male samples. The proportion of abstracts with balanced sexes was notably lower than those including both sexes. Additionally, we examined whether the exclusion of one sex from the corresponding studies was justified by the research questions. Female-only studies had a 50% justification rate, while male-only studies had only 2% justification. Disparity in sex inclusion in SB3C abstracts was apparent, prompting us to encourage scientists to be more mindful of the sex of the research samples. Addressing sex inclusivity in biomechanics and mechanobiology research is essential for advancing medical knowledge and for promoting better healthcare outcomes for everyone.
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Affiliation(s)
| | - Ana I Vargas
- Department of Bioengineering, Northeastern University, Boston, MA 02120
| | - Julia Clarin
- Department of Bioengineering, Northeastern University, Boston, MA 02120
| | - Anthony Hurgoi
- Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115
- Northeastern University
| | - Rouzbeh Amini
- Department of Bioengineering, Northeastern University, Boston, MA 02115; Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115
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Bracamonte J, Truong U, Wilson J, Soares J. Correction of phase offset errors and quantification of background noise, signal-to-noise ratio, and encoded-displacement uncertainty on DENSE MRI for kinematics of the descending thoracic and abdominal aorta. Magn Reson Imaging 2024; 106:91-103. [PMID: 38092083 PMCID: PMC10842810 DOI: 10.1016/j.mri.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 12/10/2023] [Indexed: 12/19/2023]
Abstract
Displacement encoding with stimulated echoes (DENSE) MRI is a phase contrast technique that allows the encoding of tissue displacement into the phase of the magnetic resonance signal. Recent developments in this technique allow the imaging of relatively thin structures such as the aortic wall. Quantifying background noise associated to DENSE MRI is required to assess the uncertainty of derived displacement measurements and for the design and implementation of adequate noise-reduction techniques. Although noise and error management of cardiac DENSE MRI has been previously studied, developments for aortic applications are scarce. Herein, we evaluate the noise and uncertainty of DENSE MRI scans at three different locations along the descending aorta: the distal aortic arch (DAA), the descending thoracic aorta (DTA), and infrarenal abdominal aorta (IAA). Additionally, we analyze three datasets from in vitro validation experiments with polyvinyl alcohol phantoms. We implement and evaluate the effectiveness of an offset-error correction algorithm and noise filtering techniques on DENSE MRI for aortic motion applications. Our results show that the phase signal of pixels composing the static background was normally distributed, centered on average at 0.003 ± 0.02 rad and - 0.02 ± 0.024 rad for each phase directions, suggesting that background noise is random, isotropic, and DENSE MRI has little offset errors. However, background signal noise significantly increased with elapsed time of the cardiac cycle; and was spatially heterogeneous consistently increased towards the anterior space. Background noise showed no significant differences between the 3 aortic locations and the in vitro experiments. However, SNR depended on the displacement of the region of interest, in consequence it was found significantly larger at DAA (16.7 ± 8.5, p = 0.003) and DTA (15.4 ± 7.6, p = 0.008) than at the IAA (8.0 ± 4.1), but not significantly different than the SNR of in vitro experiments (8.0 ± 3.7), and had an overall average of 13 ± 7. The applied methods significantly reduced the offset error and effect of noise on the estimation of encoded displacements. Finally, this analysis suggests that the implemented DENSE MRI protocol is adequate to assess the motion of healthy human aortas. However, the relative effect of noise increased considerably on the analysis of an ageing or diseased aortas with impaired mobility, calling for further analyses on pathologically stiffened aortas.
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Affiliation(s)
- Johane Bracamonte
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Uyen Truong
- Department of Pediatrics, Division of Cardiology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - John Wilson
- Department of Biomedical Engineering and Pauley Heart Center, Virginia Commonwealth University, VA, USA
| | - Joao Soares
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA, USA.
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Holmes TW, Yu Z, Thompson R, Oshinski JN, Pourmorteza A. Cardiac-induced motion of the pancreas and its effect on image quality of ultrahigh-resolution CT. Eur Radiol Exp 2024; 8:4. [PMID: 38172486 PMCID: PMC10764702 DOI: 10.1186/s41747-023-00401-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/16/2023] [Indexed: 01/05/2024] Open
Abstract
Recent advancements in diagnostic CT detector technology have made it possible to resolve anatomical features smaller than 20 LP/cm, referred to as ultra-high-resolution (UHR) CT. Subtle biological motions that did not affect standard-resolution (SR) CT may not be neglected in UHR. This study aimed to quantify the cardiac-induced motion of the pancreas and simulate its impact on the image quality of UHR-CT. We measured the displacement of the head of the pancreas in three healthy volunteers using Displacement Encoding with Stimulated Echoes (DENSE) MRI. The results were used to simulate SR- and UHR-CT acquisitions affected by pancreatic motion.We found pancreatic displacement in the 0.24-1.59 mm range during one cardiac cycle across the subjects. The greatest displacement was observed in the anterior-posterior direction. The time to peak displacement varied across subjects. Both SR and UHR images showed reduced image quality, as measured by radial modulation transfer function, due to cardiac-induced motion, but the motion artifacts caused more severe degradation in UHR acquisitions. Our investigation of cardiac-induced pancreatic displacement reveals its potential to degrade both standard and UHR-CT scans. To fully utilize the improvement in spatial resolution offered by UHR-CT, the effects of cardiac-induced motion in the abdomen need to be understood and corrected.Relevance statement Advancements in CT detector technology have enhanced CT scanner spatial resolution to approximately 100 µm. Consequently, previously ignored biological motions such as the cardiac-induced motion of the pancreas now demand attention to fully utilize this improved resolution.
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Affiliation(s)
- Thomas Wesley Holmes
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road NE, Atlanta, GA, 30322, USA
| | - Zhou Yu
- Canon Medical Research USA, Inc, 706 N. Deerpath Drive, Vernon Hills, IL, 60061, USA
| | - Richard Thompson
- Canon Medical Research USA, Inc, 706 N. Deerpath Drive, Vernon Hills, IL, 60061, USA
| | - John N Oshinski
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road NE, Atlanta, GA, 30322, USA
- Department of Biomedical Engineering, Emory University - Georgia Institute of Technology, 201 Dowman Drive, Atlanta, GA, 30322, USA
- Winship Cancer Institute, Emory University, 1701 Uppergate Dr, Suite 5018A, Atlanta, GA, 30322, USA
| | - Amir Pourmorteza
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road NE, Atlanta, GA, 30322, USA.
- Department of Biomedical Engineering, Emory University - Georgia Institute of Technology, 201 Dowman Drive, Atlanta, GA, 30322, USA.
- Winship Cancer Institute, Emory University, 1701 Uppergate Dr, Suite 5018A, Atlanta, GA, 30322, USA.
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Fillingham P, Kurt M, Levendovszky SR, Levitt MR. Computational Fluid Dynamics of Cerebrospinal Fluid. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1462:417-434. [PMID: 39523280 DOI: 10.1007/978-3-031-64892-2_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Cerebrospinal fluid (CSF) plays a critical role in the healthy function of the brain, yet the mechanics of CSF flow remain poorly understood. Computational fluid dynamics is a powerful tool capable of resolving the spatiotemporal evolution of CSF pressures and velocities, but technical and methodological limitations have limited the clinical use of CFD to date. With improvements in medical imaging, computational power, and machine learning, however, CFD may be on the cusp of breaking through into the medical mainstream. In this chapter, we will review the applications of CFD of CSF, present our methodological recommendations for conducting CFD of CSF, present the results of a novel CFD methodology incorporating patient-specific tissue displacements, and discuss the barriers and pathways to clinically useful CFD simulation.
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Affiliation(s)
- Patrick Fillingham
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA.
| | - Mehmet Kurt
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | | | - Michael R Levitt
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Radiology, University of Washington, Seattle, WA, USA
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Karamzadeh M, Al Samman MM, Vargas AI, Bhadelia RA, Oshinski J, Barrow DL, Amini R, Loth F. The Effect of Posterior Fossa Decompression Surgery on Brainstem and Cervical Spinal Cord Dimensions in Adults with Chiari Malformation Type 1. World Neurosurg 2023; 180:149-154.e2. [PMID: 37783305 PMCID: PMC10841825 DOI: 10.1016/j.wneu.2023.09.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 09/26/2023] [Indexed: 10/04/2023]
Abstract
OBJECTIVE Posterior fossa decompression (PFD) surgery creates more space at the skull base, reduces the resistance to the cerebrospinal fluid motion, and alters craniocervical biomechanics. In this paper, we retrospectively examined the changes in neural tissue dimensions following PFD surgery on Chiari malformation type 1 adults. METHODS Measurements were performed on T2-weighted brain magnetic resonance images acquired before and 4 months after surgery. Measurements were conducted for neural tissue volume and spinal cord/brainstem width at 4 different locations; 2 width measurements were made on the brainstem and 2 on the spinal cord in the midsagittal plane. Cerebellar tonsillar position (CTP) was also measured before and after surgery. RESULTS Twenty-five adult patients, with a mean age of 38.9 ± 8.8 years, were included in the study. The cervical cord volume increased by an average of 2.3 ± 3.3% (P = 0.002). The width at the pontomedullary junction increased by 2.2 ± 3.5% (P < 0.01), while the width 10 mm caudal to this junction increased by 4.2 ± 3.9% (P < 0.0001). The spinal cord width at the base of second cervical vertebra and third cervical vertebra did not significantly change after surgery. The CTP decreased by 60 ± 37% (P < 0.0001) after surgery, but no correlation was found between CTP change and dimension change. CONCLUSIONS The brainstem width and cervical cord volume showed a modest increase after PFD surgery, although standard deviations were large. A reduction in compression after PFD surgery may allow for an increase in neural tissue dimension. However, clinical relevance is unclear and should be assessed in future studies with high-resolution imaging.
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Affiliation(s)
- Mahsa Karamzadeh
- Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA.
| | | | - Ana I Vargas
- Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA
| | - Rafeeque A Bhadelia
- Department of Radiology, Beth Israel Deaconess Medical Center & Harvard University School of Medicine, Boston, Massachusetts, USA
| | - John Oshinski
- Departments of Radiology & Imaging Sciences and Biomedical Engineering, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Daniel L Barrow
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Rouzbeh Amini
- Departments of Mechanical and Industrial Engineering and Bioengineering, Northeastern University, Boston, Massachusetts, USA
| | - Francis Loth
- Departments of Mechanical and Industrial Engineering and Bioengineering, Northeastern University, Boston, Massachusetts, USA
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Mohsenian S, Ibrahimy A, Al Samman MMF, Oshinski JN, Bhadelia RA, Barrow DL, Allen PA, Amini R, Loth F. Association between resistance to cerebrospinal fluid flow and cardiac-induced brain tissue motion for Chiari malformation type I. Neuroradiology 2023; 65:1535-1543. [PMID: 37644163 PMCID: PMC10497658 DOI: 10.1007/s00234-023-03207-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/28/2023] [Indexed: 08/31/2023]
Abstract
PURPOSE Chiari malformation type I (CMI) patients have been independently shown to have both increased resistance to cerebrospinal fluid (CSF) flow in the cervical spinal canal and greater cardiac-induced neural tissue motion compared to healthy controls. The goal of this paper is to determine if a relationship exists between CSF flow resistance and brain tissue motion in CMI subjects. METHODS Computational fluid dynamics (CFD) techniques were employed to compute integrated longitudinal impedance (ILI) as a measure of unsteady resistance to CSF flow in the cervical spinal canal in thirty-two CMI subjects and eighteen healthy controls. Neural tissue motion during the cardiac cycle was assessed using displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) technique. RESULTS The results demonstrate a positive correlation between resistance to CSF flow and the maximum displacement of the cerebellum for CMI subjects (r = 0.75, p = 6.77 × 10-10) but not for healthy controls. No correlation was found between CSF flow resistance and maximum displacement in the brainstem for CMI or healthy subjects. The magnitude of resistance to CSF flow and maximum cardiac-induced brain tissue motion were not statistically different for CMI subjects with and without the presence of five CMI symptoms: imbalance, vertigo, swallowing difficulties, nausea or vomiting, and hoarseness. CONCLUSION This study establishes a relationship between CSF flow resistance in the cervical spinal canal and cardiac-induced brain tissue motion in the cerebellum for CMI subjects. Further research is necessary to understand the importance of resistance and brain tissue motion in the symptomatology of CMI.
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Affiliation(s)
- Saeed Mohsenian
- Department of Bioengineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115 USA
| | - Alaaddin Ibrahimy
- Department of Biomedical Engineering, Yale University, 17 Hillhouse Ave, New Haven, CT 06520 USA
| | | | - John N. Oshinski
- Departments of Radiology & Imaging Sciences and Biomedical Engineering, Emory University School of Medicine, 1364 Clifton Road NE, Atlanta, GA 30322 USA
| | - Rafeeque A. Bhadelia
- Department of Radiology, Beth Israel Deaconess Medical Center & Harvard University School of Medicine, 330 Brookline Ave, Boston, MA 02215 USA
| | - Daniel L. Barrow
- Department of Neurosurgery, Emory University School of Medicine, 1364 Clifton Road NE, Atlanta, GA 30322 USA
| | - Philip A. Allen
- Department of Psychology, The University of Akron, 302 E Buchtel Ave, Akron, OH 44325 USA
| | - Rouzbeh Amini
- Departments of Mechanical and Industrial Engineering, and Bioengineering, Northeastern University, 805 Columbus Ave, ISEC 508, Boston, MA 02120 USA
| | - Francis Loth
- Departments of Mechanical and Industrial Engineering, and Bioengineering, Northeastern University, 360 Huntington Ave, SN 257, Boston, MA 02115 USA
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Al Samman MMF, Ibrahimy A, Nwotchouang BST, Oshinski JN, Barrow DL, Allen PA, Amini R, Bhadelia RA, Loth F. The Relationship Between Imbalance Symptom and Cardiac Pulsation Induced Mechanical Strain in the Brainstem and Cerebellum for Chiari Malformation Type I. J Biomech Eng 2023; 145:081005. [PMID: 37295931 PMCID: PMC10782862 DOI: 10.1115/1.4062723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 06/12/2023]
Abstract
Chiari malformation Type I (CMI) is known to have an altered biomechanical environment for the brainstem and cerebellum; however, it is unclear whether these altered biomechanics play a role in the development of CMI symptoms. We hypothesized that CMI subjects have a higher cardiac-induced strain in specific neurological tracts pertaining to balance, and postural control. We measured displacement over the cardiac cycle using displacement encoding with stimulated echoes magnetic resonance imaging in the cerebellum, brainstem, and spinal cord in 37 CMI subjects and 25 controls. Based on these measurements, we computed strain, translation, and rotation in tracts related to balance. The global strain on all tracts was small (<1%) for CMI subject and controls. Strain was found to be nearly doubled in three tracts for CMI subjects compared to controls (p < 0.03). The maximum translation and rotation were ∼150 μm and ∼1 deg, respectively and 1.5-2 times greater in CMI compared to controls in four tracts (p < 0.005). There was no significant difference between strain, translation, and rotation on the analyzed tracts in CMI subjects with imbalance compared to those without imbalance. A moderate correlation was found between cerebellar tonsillar position and strain on three tracts. The lack of statistically significant difference between strain in CMI subjects with and without imbalance could imply that the magnitude of the observed cardiac-induced strain was too small to cause substantial damage to the tissue (<1%). Activities such as coughing, or Valsalva may produce a greater strain.
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Affiliation(s)
| | - Alaaddin Ibrahimy
- Department of Biomedical Engineering, Yale University, 17 Hillhouse Ave, New Haven, CT 06520
| | | | - John N. Oshinski
- Departments of Radiology & Imaging Sciences and Biomedical Engineering, Emory University School of Medicine, 1364 Clifton Road NE, Atlanta, GA 30322
| | - Daniel L. Barrow
- Department of Neurosurgery, Emory University School of Medicine, 1364 Clifton Road NE, Atlanta, GA 30322
| | - Philip A. Allen
- Department of Psychology, The University of Akron, 302 E Buchtel Ave, Akron, OH 44325
| | - Rouzbeh Amini
- Departments of Mechanical and Industrial Engineering, and Bioengineering, Northeastern University, 805 Columbus Ave, ISEC 508, Boston, MA 02120
| | - Rafeeque A. Bhadelia
- Department of Radiology, Beth Israel Deaconess Medical Center & Harvard University School of Medicine, 330 Brookline Ave, Boston, MA 02215
| | - Francis Loth
- Departments of Mechanical and Industrial Engineering, and Bioengineering, Northeastern University, 360 Huntington Ave, SN 257, Boston, MA 02115
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Vargas AI, Tarraf SA, Fitzgibbons TP, Bellini C, Amini R. Biomechanical remodeling of the murine descending thoracic aorta during late-gestation pregnancy. Curr Res Physiol 2023; 6:100102. [PMID: 37575979 PMCID: PMC10415834 DOI: 10.1016/j.crphys.2023.100102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/29/2023] [Accepted: 07/04/2023] [Indexed: 08/15/2023] Open
Abstract
With the rise in maternal mortality rates and the growing body of epidemiological evidence linking pregnancy history to maternal cardiovascular health, it is essential to comprehend the vascular remodeling that occurs during gestation. The maternal body undergoes significant hemodynamic alterations which are believed to induce structural remodeling of the cardiovascular system. Yet, the effects of pregnancy on vascular structure and function have not been fully elucidated. Such a knowledge gap has limited our understanding of the etiology of pregnancy-induced cardiovascular disease. Towards bridging this gap, we measured the biaxial mechanical response of the murine descending thoracic aorta during a normotensive late-gestation pregnancy. Non-invasive hemodynamic measurements confirmed a 50% increase in cardiac output in the pregnant group, with no changes in peripheral blood pressure. Pregnancy was associated with significant wall thickening ( ∼14%), an increase in luminal diameter ( ∼6%), and material softening in both circumferential and axial directions. This expansive remodeling of the tissue resulted in a reduction in tensile wall stress and intrinsic tissue stiffness. Collectively, our data indicate that an increase in the geometry of the vessel may occur to accommodate for the increase in cardiac output and blood flow that occurs in pregnancy. Similarly, wall thickening accompanied by increased luminal diameter, without a change in blood pressure may be a necessary mechanism to decrease the tensile wall stress, and avoid pathophysiological events following late gestation.
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Affiliation(s)
- Ana I. Vargas
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, United States
| | - Samar A. Tarraf
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, United States
| | - Timothy P. Fitzgibbons
- Department of Medicine, Division of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, United States
| | - Chiara Bellini
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, United States
| | - Rouzbeh Amini
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, United States
- Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, 02115, United States
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10
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Auger DA, Ghadimi S, Cai X, Reagan CE, Sun C, Abdi M, Cao JJ, Cheng JY, Ngai N, Scott AD, Ferreira PF, Oshinski JN, Emamifar N, Ennis DB, Loecher M, Liu ZQ, Croisille P, Viallon M, Bilchick KC, Epstein FH. Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease. J Cardiovasc Magn Reson 2022. [PMID: 35369885 DOI: 10.1186/s12968-022-00851-7/figures/6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND While multiple cardiovascular magnetic resonance (CMR) methods provide excellent reproducibility of global circumferential and global longitudinal strain, achieving highly reproducible segmental strain is more challenging. Previous single-center studies have demonstrated excellent reproducibility of displacement encoding with stimulated echoes (DENSE) segmental circumferential strain. The present study evaluated the reproducibility of DENSE for measurement of whole-slice or global circumferential (Ecc), longitudinal (Ell) and radial (Err) strain, torsion, and segmental Ecc at multiple centers. METHODS Six centers participated and a total of 81 subjects were studied, including 60 healthy subjects and 21 patients with various types of heart disease. CMR utilized 3 T scanners, and cine DENSE images were acquired in three short-axis planes and in the four-chamber long-axis view. During one imaging session, each subject underwent two separate DENSE scans to assess inter-scan reproducibility. Each subject was taken out of the scanner and repositioned between the scans. Intra-user, inter-user-same-site, inter-user-different-site, and inter-user-Human-Deep-Learning (DL) comparisons assessed the reproducibility of different users analyzing the same data. Inter-scan comparisons assessed the reproducibility of DENSE from scan to scan. The reproducibility of whole-slice or global Ecc, Ell and Err, torsion, and segmental Ecc were quantified using Bland-Altman analysis, the coefficient of variation (CV), and the intraclass correlation coefficient (ICC). CV was considered excellent for CV ≤ 10%, good for 10% < CV ≤ 20%, fair for 20% < CV ≤ 40%, and poor for CV > 40. ICC values were considered excellent for ICC > 0.74, good for ICC 0.6 < ICC ≤ 0.74, fair for ICC 0.4 < ICC ≤ 0.59, poor for ICC < 0.4. RESULTS Based on CV and ICC, segmental Ecc provided excellent intra-user, inter-user-same-site, inter-user-different-site, inter-user-Human-DL reproducibility and good-excellent inter-scan reproducibility. Whole-slice Ecc and global Ell provided excellent intra-user, inter-user-same-site, inter-user-different-site, inter-user-Human-DL and inter-scan reproducibility. The reproducibility of torsion was good-excellent for all comparisons. For whole-slice Err, CV was in the fair-good range, and ICC was in the good-excellent range. CONCLUSIONS Multicenter data show that 3 T CMR DENSE provides highly reproducible whole-slice and segmental Ecc, global Ell, and torsion measurements in healthy subjects and heart disease patients.
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Affiliation(s)
- Daniel A Auger
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA, 22908, USA
| | - Sona Ghadimi
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA, 22908, USA
| | - Xiaoying Cai
- Siemens Healthineers, Boston, Massachusetts, USA
| | - Claire E Reagan
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA, 22908, USA
| | - Changyu Sun
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA, 22908, USA
| | - Mohamad Abdi
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA, 22908, USA
| | - Jie Jane Cao
- St. Francis Hospital, The Heart Center, Long Island, NY, USA
| | - Joshua Y Cheng
- St. Francis Hospital, The Heart Center, Long Island, NY, USA
| | - Nora Ngai
- St. Francis Hospital, The Heart Center, Long Island, NY, USA
| | - Andrew D Scott
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital and National Heart and Lung Institute, Imperial College London, London, UK
| | - Pedro F Ferreira
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital and National Heart and Lung Institute, Imperial College London, London, UK
| | - John N Oshinski
- Department of Radiology & Imaging Sciences and Biomedical Engineering, Emory University, Atlanta, Georgia
| | - Nick Emamifar
- Department of Radiology & Imaging Sciences and Biomedical Engineering, Emory University, Atlanta, Georgia
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Michael Loecher
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Zhan-Qiu Liu
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Pierre Croisille
- University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, Saint-Etienne, France
- Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France
| | - Magalie Viallon
- University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, Saint-Etienne, France
| | - Kenneth C Bilchick
- Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA, USA
| | - Frederick H Epstein
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA, 22908, USA.
- Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA, USA.
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11
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Auger DA, Ghadimi S, Cai X, Reagan CE, Sun C, Abdi M, Cao JJ, Cheng JY, Ngai N, Scott AD, Ferreira PF, Oshinski JN, Emamifar N, Ennis DB, Loecher M, Liu ZQ, Croisille P, Viallon M, Bilchick KC, Epstein FH. Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease. J Cardiovasc Magn Reson 2022; 24:23. [PMID: 35369885 PMCID: PMC8978361 DOI: 10.1186/s12968-022-00851-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 03/07/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND While multiple cardiovascular magnetic resonance (CMR) methods provide excellent reproducibility of global circumferential and global longitudinal strain, achieving highly reproducible segmental strain is more challenging. Previous single-center studies have demonstrated excellent reproducibility of displacement encoding with stimulated echoes (DENSE) segmental circumferential strain. The present study evaluated the reproducibility of DENSE for measurement of whole-slice or global circumferential (Ecc), longitudinal (Ell) and radial (Err) strain, torsion, and segmental Ecc at multiple centers. METHODS Six centers participated and a total of 81 subjects were studied, including 60 healthy subjects and 21 patients with various types of heart disease. CMR utilized 3 T scanners, and cine DENSE images were acquired in three short-axis planes and in the four-chamber long-axis view. During one imaging session, each subject underwent two separate DENSE scans to assess inter-scan reproducibility. Each subject was taken out of the scanner and repositioned between the scans. Intra-user, inter-user-same-site, inter-user-different-site, and inter-user-Human-Deep-Learning (DL) comparisons assessed the reproducibility of different users analyzing the same data. Inter-scan comparisons assessed the reproducibility of DENSE from scan to scan. The reproducibility of whole-slice or global Ecc, Ell and Err, torsion, and segmental Ecc were quantified using Bland-Altman analysis, the coefficient of variation (CV), and the intraclass correlation coefficient (ICC). CV was considered excellent for CV ≤ 10%, good for 10% < CV ≤ 20%, fair for 20% < CV ≤ 40%, and poor for CV > 40. ICC values were considered excellent for ICC > 0.74, good for ICC 0.6 < ICC ≤ 0.74, fair for ICC 0.4 < ICC ≤ 0.59, poor for ICC < 0.4. RESULTS Based on CV and ICC, segmental Ecc provided excellent intra-user, inter-user-same-site, inter-user-different-site, inter-user-Human-DL reproducibility and good-excellent inter-scan reproducibility. Whole-slice Ecc and global Ell provided excellent intra-user, inter-user-same-site, inter-user-different-site, inter-user-Human-DL and inter-scan reproducibility. The reproducibility of torsion was good-excellent for all comparisons. For whole-slice Err, CV was in the fair-good range, and ICC was in the good-excellent range. CONCLUSIONS Multicenter data show that 3 T CMR DENSE provides highly reproducible whole-slice and segmental Ecc, global Ell, and torsion measurements in healthy subjects and heart disease patients.
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Affiliation(s)
- Daniel A. Auger
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA 22908 USA
| | - Sona. Ghadimi
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA 22908 USA
| | | | - Claire E. Reagan
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA 22908 USA
| | - Changyu Sun
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA 22908 USA
| | - Mohamad Abdi
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA 22908 USA
| | - Jie Jane Cao
- St. Francis Hospital, The Heart Center, Long Island, NY USA
| | | | - Nora Ngai
- St. Francis Hospital, The Heart Center, Long Island, NY USA
| | - Andrew D. Scott
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital and National Heart and Lung Institute, Imperial College London, London, UK
| | - Pedro F. Ferreira
- Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital and National Heart and Lung Institute, Imperial College London, London, UK
| | - John N. Oshinski
- Department of Radiology & Imaging Sciences and Biomedical Engineering, Emory University, Atlanta, Georgia
| | - Nick Emamifar
- Department of Radiology & Imaging Sciences and Biomedical Engineering, Emory University, Atlanta, Georgia
| | - Daniel B. Ennis
- Department of Radiology, Stanford University, Stanford, CA USA
| | - Michael Loecher
- Department of Radiology, Stanford University, Stanford, CA USA
| | - Zhan-Qiu Liu
- Department of Radiology, Stanford University, Stanford, CA USA
| | - Pierre Croisille
- University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, Saint-Etienne, France
- Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France
| | - Magalie Viallon
- University of Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, Saint-Etienne, France
| | - Kenneth C. Bilchick
- Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA USA
| | - Frederick H. Epstein
- Department of Biomedical Engineering, University of Virginia, Box 800759, Charlottesville, VA 22908 USA
- Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA USA
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12
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Thakar S, Kanneganti V, Talla Nwotchouang BS, Salem SJ, Eppelheimer M, Loth F, Allen PA, Aryan S, Hegde AS. Are Two-Dimensional Morphometric Measures Reflective of Disease Severity in Adult Chiari I Malformation? World Neurosurg 2022; 157:e497-e505. [PMID: 34710575 PMCID: PMC8692430 DOI: 10.1016/j.wneu.2021.10.138] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Two-dimensional (2D) morphometric measures have been previously used to diagnose Chiari I malformation (CMI) and distinguish patients from healthy subjects. There is, however, a paucity of literature regarding whether morphometric differences exist across the range of CMI disease severity. We evaluated whether 2D morphometrics demonstrate significant changes across standardized grades of CMI severity in adults. METHODS This retrospective observational study comprised 76 patients with symptomatic CMI with or without syringomyelia. Patients matched for age, sex, and body mass index were selected from each of the 3 severity grades of the Chiari Severity Index (CSI). The study used 17 2D craniocervical and posterior fossa morphometric variables that were previously found to differentiate patients with CMI from healthy subjects. The measurements were performed on midsagittal T1-weighted magnetic resonance imaging sequences using 2 custom in-house software tools, MorphPro and CerePro, and compared across CSI grades. RESULTS Analysis of variance showed that none of the 17 morphometric variables were significantly different across the 3 CSI grades (P > 0.003). Bayes factor 10 scores ranged from 0.11 to 0.82. Of variables, 9 had Bayes factor 10 scores between 0.10 and 0.30, while 8 had scores between 0.30 and 1. None of the Bayes factor 10 scores provided support for the alternative hypothesis that the morphometric measures differed across the CSI grades. CONCLUSIONS Our study indicated that 2D morphometrics are not reflective of CMI disease severity as indicated by the CSI grading system. The findings of our study support the need for further investigation into whether non-2D morphometric variables can be used as markers of disease severity.
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Affiliation(s)
- Sumit Thakar
- Department of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India
| | - Vidyasagar Kanneganti
- Department of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India
| | | | - Sara J. Salem
- Conquer Chiari Research Center, Department of Mechanical Engineering, The University of Akron, Akron, Ohio, United States
| | - Maggie Eppelheimer
- Conquer Chiari Research Center, Department of Biomedical Engineering, The University of Akron, Akron, Ohio, United States
| | - Francis Loth
- Conquer Chiari Research Center, Department of Mechanical Engineering, The University of Akron, Akron, Ohio, United States,Conquer Chiari Research Center, Department of Biomedical Engineering, The University of Akron, Akron, Ohio, United States
| | - Philip A. Allen
- Conquer Chiari Research Center, Department of Psychology, The University of Akron, Akron, Ohio, United States
| | - Saritha Aryan
- Department of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India
| | - Alangar S Hegde
- Department of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India
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13
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Wilson JS, Islam M, Oshinski JN. In Vitro Validation of Regional Circumferential Strain Assessment in a Phantom Aortic Model Using Cine Displacement Encoding With Stimulated Echoes MRI. J Magn Reson Imaging 2021; 55:1773-1784. [PMID: 34704637 DOI: 10.1002/jmri.27972] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/14/2021] [Accepted: 10/14/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND A novel application of cine Displacement ENcoding with Stimulated Echoes Magnetic Resonance Imaging (DENSE MRI) has recently been described to assess regional heterogeneities in circumferential strain around the aortic wall in vivo; however, validation is first required for successful clinical translation. PURPOSE To validate the quantification of regional circumferential strain around the wall of an aortic phantom using DENSE MRI. STUDY TYPE In vitro phantom study. POPULATION Three polyvinyl alcohol aortic phantoms with eight axially oriented nitinol wires embedded evenly around the walls. FIELD STRENGTH/SEQUENCE 3 T; gradient-echo aortic DENSE MRI with spiral cine readout, gradient-echo phase-contrast MRI (PCMR) with Cartesian cine readout. ASSESSMENT Phantoms were connected to a pulsatile flow loop and peak DENSE-derived regional circumferential Green strains at 16 equally spaced sectors around the wall were assessed according to previously published algorithms. "True" regional circumferential strains were calculated by manually tracking displacements of the nitinol wires by two independent observers. Normalized circumferential strains (NCS) were calculated by dividing regional strains by the mean strain. Finally, DENSE-derived regional strain was corrected by multiplying regional DENSE NCS by the mean strain calculated from the diameter change on the PCMR. STATISTICAL TESTS One-sample t-test, Paired-sample t-test, and analysis of variance with Bonferroni correction, coefficient of variation (CoV), Bland-Altman analysis; P < 0.05 was considered statistically significant. RESULTS Aortic DENSE MRI significantly overestimated circumferential strain compared to the wire-tracking method (mean difference and SD 0.030 ± 0.014, CoV 0.31). However, NCS demonstrated good agreement between DENSE and wire-tracking data (mean difference 0.000 ± 0.172, CoV 0.15). After correcting the DENSE-derived regional strain, the mean difference in regional circumferential strain between DENSE and wire-tracking was significantly reduced to 0.006 ± 0.008, and the CoV was reduced to 0.18. DATA CONCLUSION For aortic phantoms with mild spatial heterogeneity in circumferential strain, the previously published aortic DENSE MRI technique successfully assessed the regional NCS distribution but overestimated the mean strain. This overestimation is correctable by computing a more accurate mean circumferential strain using a separate cine scan. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- John S Wilson
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, USA.,Pauley Heart Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Muhammad Islam
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
| | - John N Oshinski
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA.,Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
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14
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Eppelheimer MS, Nwotchouang BST, Pahlavian SH, Barrow JW, Barrow DL, Amini R, Allen PA, Loth F, Oshinski JN. Cerebellar and Brainstem Displacement Measured with DENSE MRI in Chiari Malformation Following Posterior Fossa Decompression Surgery. Radiology 2021; 301:187-194. [PMID: 34313469 DOI: 10.1148/radiol.2021203036] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Posterior fossa decompression (PFD) surgery is a treatment for Chiari malformation type I (CMI). The goals of surgery are to reduce cerebellar tonsillar crowding and restore posterior cerebral spinal fluid flow, but regional tissue biomechanics may also change. MRI-based displacement encoding with stimulated echoes (DENSE) can be used to assess neural tissue displacement. Purpose To assess neural tissue displacement by using DENSE MRI in participants with CMI before and after PFD surgery and examine associations between tissue displacement and symptoms. Materials and Methods In a prospective, HIPAA-compliant study of patients with CMI, midsagittal DENSE MRI was performed before and after PFD surgery between January 2017 and June 2020. Peak tissue displacement over the cardiac cycle was quantified in the cerebellum and brainstem, averaged over each structure, and compared before and after surgery. Paired t tests and nonparametric Wilcoxon signed-rank tests were used to identify surgical changes in displacement, and Spearman correlations were determined between tissue displacement and presurgery symptoms. Results Twenty-three participants were included (mean age ± standard deviation, 37 years ± 10; 19 women). Spatially averaged (mean) peak tissue displacement demonstrated reductions of 46% (79/171 µm) within the cerebellum and 22% (46/210 µm) within the brainstem after surgery (P < .001). Maximum peak displacement, calculated within a circular 30-mm2 area, decreased by 64% (274/427 µm) in the cerebellum and 33% (100/300 µm) in the brainstem (P < .001). No significant associations were identified between tissue displacement and CMI symptoms (r < .74 and P > .012 for all; Bonferroni-corrected P = .0002). Conclusion Neural tissue displacement was reduced after posterior fossa decompression surgery, indicating that surgical intervention changes brain tissue biomechanics. For participants with Chiari malformation type I, no relationship was identified between presurgery tissue displacement and presurgical symptoms. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Maggie S Eppelheimer
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - Blaise Simplice Talla Nwotchouang
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - Soroush Heidari Pahlavian
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - Jack W Barrow
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - Daniel L Barrow
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - Rouzbeh Amini
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - Philip A Allen
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - Francis Loth
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
| | - John N Oshinski
- From the Conquer Chiari Research Center, Departments of Biomedical Engineering (M.S.E., B.S.T.N., F.L.) and Psychology (P.A.A.), University of Akron, 264 Wolf Ledges Pkwy, #211B, Akron, OH 44325; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, Calif (S.H.P.); Mercer University School of Medicine, Savannah, Ga (J.W.B.); Departments of Neurosurgery (D.L.B.), Radiology (J.N.O.), and Imaging Sciences and Biomedical Engineering (J.N.O.), Emory University, Atlanta, Ga; and Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, Mass (R.A.)
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15
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Nwotchouang BST, Eppelheimer MS, Pahlavian SH, Barrow JW, Barrow DL, Qiu D, Allen PA, Oshinski JN, Amini R, Loth F. Regional Brain Tissue Displacement and Strain is Elevated in Subjects with Chiari Malformation Type I Compared to Healthy Controls: A Study Using DENSE MRI. Ann Biomed Eng 2021; 49:1462-1476. [PMID: 33398617 PMCID: PMC8482962 DOI: 10.1007/s10439-020-02695-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 11/17/2020] [Indexed: 12/26/2022]
Abstract
While the degree of cerebellar tonsillar descent is considered the primary radiologic marker of Chiari malformation type I (CMI), biomechanical forces acting on the brain tissue in CMI subjects are less studied and poorly understood. In this study, regional brain tissue displacement and principal strains in 43 CMI subjects and 25 controls were quantified using a magnetic resonance imaging (MRI) methodology known as displacement encoding with stimulated echoes (DENSE). Measurements from MRI were obtained for seven different brain regions-the brainstem, cerebellum, cingulate gyrus, corpus callosum, frontal lobe, occipital lobe, and parietal lobe. Mean displacements in the cerebellum and brainstem were found to be 106 and 64% higher, respectively, for CMI subjects than controls (p < .001). Mean compression and extension strains in the cerebellum were 52 and 50% higher, respectively, in CMI subjects (p < .001). Brainstem mean extension strain was 41% higher in CMI subjects (p < .001), but no significant difference in compression strain was observed. The other brain structures revealed no significant differences between CMI and controls. These findings demonstrate that brain tissue displacement and strain in the cerebellum and brainstem might represent two new biomarkers to distinguish between CMI subjects and controls.
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Affiliation(s)
| | - Maggie S Eppelheimer
- Conquer Chiari Research Center, Department of Biomedical Engineering, The University of Akron, Akron, OH, 44325-3903, USA
| | | | - Jack W Barrow
- Department of Radiology, University of Tennessee, Knoxville, TN, USA
| | - Daniel L Barrow
- Department of Neurosurgery, Emory University, Atlanta, GA, USA
| | - Deqiang Qiu
- Radiology & Imaging Sciences and Biomedical Engineering, Emory University School of Medicine, Atlanta, USA
| | - Philip A Allen
- Conquer Chiari Research Center, Department of Psychology, The University of Akron, Akron, OH, USA
| | - John N Oshinski
- Radiology & Imaging Sciences and Biomedical Engineering, Emory University School of Medicine, Atlanta, USA
| | - Rouzbeh Amini
- Department of Mechanical and Industrial Engineering, Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Francis Loth
- Conquer Chiari Research Center, Department of Biomedical Engineering, The University of Akron, Akron, OH, 44325-3903, USA
- Department of Mechanical Engineering, The University of Akron, Akron, OH, USA
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