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Huang N, Cao X, Li Z, Wang H, Zhao W, Shi J. Application of mean maximum Young's modulus value as a new parameter for differential diagnosis of prostate diseases. Sci Rep 2025; 15:3832. [PMID: 39885288 PMCID: PMC11782497 DOI: 10.1038/s41598-025-88263-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Accepted: 01/28/2025] [Indexed: 02/01/2025] Open
Abstract
Transrectal shear wave elastography (T-SWE) can be used non-invasively to diagnose prostate cancer (PCa) and benign prostatic hyperplasia (BPH). The prostate tissue can be viewed as an ellipsoidal sphere with viscoelastic characterization. Linear elastic model has been used to characterize soft tissues, and the simplification of partial characterization provides incomplete information. This retrospective study included 144 suspected prostate disease patients who had completed T-SWE from our hospital. The mean maximum Young's modulus value (m-Emax) of the maximum transverse section of prostate was obtained by calculating the mean of 12 measured maximum Young's modulus value (Emax) in the four quadrants. M-Emax was statistically correlated with and good discriminability for PCa and BPH. There was a nonlinear dose-response relationship between m-Emax and PCa risk, as well as between m-Emax and BPH risk. The relationship between m-Emax and prostate disease was consistent with the nonlinear effect showed by tissues as an elastic model in normal physiological activity areas. When stiffness increasing, the stress-strain relationship was approximates linear. M-Emax can be used as an innovative parameter of Young's modulus value, which represents the stiffness of prostate tissue in T-SWE, and has a good effect in the differential diagnosis of prostate diseases.
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Affiliation(s)
- Nailei Huang
- Nailei Huang Department of Ultrasound, The First Hospital of Hebei Medical University, Shijiazhuang , 050031, Hebei Province, China
| | - Xinge Cao
- Xinge Cao Department of Ultrasound, The First Hospital of Hebei Medical University, Shijiazhuang , 050031, Hebei Province, China
| | - Zhong Li
- Zhong Li Department of Urology, The First Hospital of Hebei Medical University, Shijiazhuang City, 050031, Hebei Province, China
| | - Haoyu Wang
- Haoyu Wang Department of Ultrasound, The First Hospital of Hebei Medical University, Shijiazhuang City, 050031, Hebei Province, China
| | - Wei Zhao
- Wei Zhao Department of Ultrasound, The First Hospital of Hebei Medical University, 89 Donggang Road, Yuhua District, Shijiazhuang City, 050031, Hebei Province, China.
| | - Jun Shi
- Jun Shi Department of Ultrasound, The First Hospital of Hebei Medical University, Shijiazhuang City, 050031, Hebei Province, China.
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Higuita ML, Jain R, Osho AA, Rabi SA, Pruett TL, Pierson RN, Iaizzo PA, Tessier SN. Novel Imaging Technologies for Accurate Assessment of Cardiac Allograft Performance. CURRENT TRANSPLANTATION REPORTS 2023; 10:100-109. [PMID: 39015560 PMCID: PMC11251714 DOI: 10.1007/s40472-023-00400-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 07/18/2024]
Abstract
Purpose of the Review The current lack of objective and quantitative assessment techniques to determine cardiac graft relative viability results in risk-averse decision-making, which negatively impact the utilization of cardiac grafts. The purpose of this review is to highlight the current deficiencies in cardiac allograft assessment before focusing on novel cardiac assessment techniques that exploit conventional and emerging imaging modalities, including ultrasound, magnetic resonance, and spectroscopy. Recent Findings Extensive work is ongoing by the scientific community to identify improved objective metrics and tools for cardiac graft assessment, with the goal to safely increasing the number and proportion of hearts accepted for transplantation. Summary This review briefly discusses the in situ and ex vivo tools currently available for clinical organ assessment, before focusing on the individual capabilities of ultrasound, magnetic resonance, and spectroscopy to provide insightful, non-invasive information regarding cardiac graft functional and metabolic status that may be used to predict outcome after transplantation.
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Affiliation(s)
- Manuela Lopera Higuita
- Center for Engineering in Medicine and Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Shriners Hospitals for Children, Boston, MA, USA
| | - Rohil Jain
- Center for Engineering in Medicine and Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Shriners Hospitals for Children, Boston, MA, USA
| | - Asishana A. Osho
- Division of Cardiac Surgery, Corrigan Minehan Heart Center, Massachusetts General Hospital, MA, Boston, USA
| | - S. Alireza Rabi
- Division of Cardiac Surgery, Corrigan Minehan Heart Center, Massachusetts General Hospital, MA, Boston, USA
| | - Timothy L. Pruett
- Division of Solid Organ Transplantation and Department of Surgery, University of Minnesota, Minneapolis, MN, USA
| | - Richard N. Pierson
- Department of Surgery and Center for Transplantation Sciences, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul A. Iaizzo
- Visible Heart Laboratories, Departments of Surgery and Biomedical EngineeringInstitute for Engineering in Medicine, University of Minnesota, MN 55455 Minneapolis, USA
| | - Shannon N. Tessier
- Center for Engineering in Medicine and Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Shriners Hospitals for Children, Boston, MA, USA
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Caenen A, Pernot M, Nightingale KR, Voigt JU, Vos HJ, Segers P, D'hooge J. Assessing cardiac stiffness using ultrasound shear wave elastography. Phys Med Biol 2021; 67. [PMID: 34874312 DOI: 10.1088/1361-6560/ac404d] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/06/2021] [Indexed: 11/11/2022]
Abstract
Shear wave elastography offers a new dimension to echocardiography: it measures myocardial stiffness. Therefore, it could provide additional insights into the pathophysiology of cardiac diseases affecting myocardial stiffness and potentially improve diagnosis or guide patient treatment. The technique detects fast mechanical waves on the heart wall with high frame rate echography, and converts their propagation velocity into a stiffness value. A proper interpretation of shear wave data is required as the shear wave interacts with the intrinsic, yet dynamically changing geometrical and material characteristics of the heart under pressure. This dramatically alters the wave physics of the propagating wave, demanding adapted processing methods compared to other shear wave elastography applications as breast tumor and liver stiffness staging. Furthermore, several advanced analysis methods have been proposed to extract supplementary material features such as viscosity and anisotropy, potentially offering additional diagnostic value. This review explains the general mechanical concepts underlying cardiac shear wave elastography and provides an overview of the preclinical and clinical studies within the field. We also identify the mechanical and technical challenges ahead to make shear wave elastography a valuable tool for clinical practice.
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Affiliation(s)
- Annette Caenen
- Institute for Biomedical Engineering and Technology, Ghent University, Ghent, BELGIUM
| | - Mathieu Pernot
- INSERM U979 "Physics for medicine", ESPCI Paris, PSL Research University, CNRS UMR 7587, Institut Langevin, Paris, FRANCE
| | - Kathryn R Nightingale
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, UNITED STATES
| | - Jens-Uwe Voigt
- Department of Cardiovascular Sciences, KU Leuven, Leuven, BELGIUM
| | - Hendrik J Vos
- Department of Biomedical Engineering, Erasmus MC, Rotterdam, Zuid-Holland, NETHERLANDS
| | - Patrick Segers
- Institute of Biomedical Engineering and Technology, Universiteit Gent, Gent, BELGIUM
| | - Jan D'hooge
- Department of Cardiovascular Sciences, KU Leuven, Leuven, BELGIUM
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Vejdani-Jahromi M, Freedman J, Trahey GE, Wolf PD. Measuring Intraventricular Pressure Using Ultrasound Elastography. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2019; 38:1167-1177. [PMID: 30218456 DOI: 10.1002/jum.14795] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 07/13/2018] [Accepted: 07/23/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVES Intraventricular pressure (IVP) is one of the most important measurements for evaluating cardiac function, but this measurement is not currently easily assessable in the clinic. The primary reason for this is the absence of a noninvasive technique for measuring IVP. In this study, we investigate the relationship between IVP and dynamic myocardial stiffness measured by shear wave elasticity imaging (SWEI) and assess the feasibility of measuring IVP using SWEI. METHODS In 8 isolated working rabbit hearts, IVP was recorded in the left ventricle using a pressure catheter. Simultaneously, myocardial stiffness was recorded by SWEI. Using the peak values for IVP and SWEI measured stiffness, SWEI measurements were calibrated and converted to IVP. RESULTS A linear relationship with zero intercept was observed between IVP and SWEI, with the average slope of 0.318 kPa/mm Hg, R2 = 0.89. Using one point on the IVP/SWEI curve, SWEI measurements were converted to IVP. Estimated pressure using SWEI and IVP were linearly correlated with the slope of 0.95, R2 = 0.88 (mean end diastolic pressure by pressure catheter = 12.716 mm Hg and by SWEI=14.726 mm Hg), indicating the near equivalence of the 2 measurements. CONCLUSION We have shown that SWEI measurements are linearly related to IVP; therefore, pressure-based indices could potentially be derived from SWEI ultrasound elastography. The feasibility of using SWEI to estimate IVP with a single point calibration was also shown in this study.
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Affiliation(s)
| | - Jenna Freedman
- Biomedical Engineering Department, Duke University, Durham, North Carolina, USA
| | - Gregg E Trahey
- Biomedical Engineering Department, Duke University, Durham, North Carolina, USA
| | - Patrick D Wolf
- Biomedical Engineering Department, Duke University, Durham, North Carolina, USA
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Kakkad V, LeFevre M, Hollender P, Kisslo J, Trahey GE. Non-invasive Measurement of Dynamic Myocardial Stiffness Using Acoustic Radiation Force Impulse Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:1112-1130. [PMID: 30890282 PMCID: PMC6462419 DOI: 10.1016/j.ultrasmedbio.2018.12.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 12/20/2018] [Accepted: 12/21/2018] [Indexed: 05/23/2023]
Abstract
Myocardial stiffness exhibits cyclic variations over the course of the cardiac cycle. These trends are closely tied to the electromechanical and hemodynamic changes in the heart. Characterization of dynamic myocardialstiffness can provide insights into the functional state of the myocardium, as well as allow for differentiation between the underlying physiologic mechanisms that lead to congestive heart failure. Previous work has revealed the potential of acoustic radiation force impulse (ARFI) imaging to capture temporal trends in myocardial stiffness in experimental preparations such as the Langendorff heart, as well as on animals in open-chest and intracardiac settings. This study was aimed at investigating the potential of ARFI to measure dynamic myocardial stiffness in human subjects, in a non-invasive manner through transthoracic imaging windows. ARFI imaging was performed on 12 healthy volunteers to track stiffness changes within the interventricular septum in parasternal long-axis and short-axis views. Myocardial stiffness dynamics over the cardiac cycle was quantified using five indices: stiffness ratio, rates of relaxation and contraction and time constants of relaxation and contraction. The yield of ARFI acquisitions was evaluated based on metrics of signal strength and tracking fidelity such as displacement signal-to-noise ratio, signal-to-clutter level, temporal coherence of speckle and spatial similarity within the region of excitation. These were quantified using the mean ARF-induced displacements over the cardiac cycle, the contrast between the myocardium and the cardiac chambers, the minimum correlation coefficients of radiofrequency signals and the correlation between displacement traces across simultaneously acquired azimuthal beams, respectively. Forty-one percent of ARFI acquisitions were determined to be "successful" using a mean ARF-induced displacement threshold of 1.5 μm. "Successful" acquisitions were found to have higher (i) signal-to-clutter levels, (ii) temporal coherence and (iii) spatial similarity compared with "unsuccessful" acquisitions. Median values of these three metrics, between the two groups, were measured to be 13.42dB versus 5.42dB, 0.988 versus 0.976 and 0.984 versus 0.849, respectively. Signal-to-clutter level, temporal coherence and spatial similarity were also found to correlate with each other. Across the cohort of healthy volunteers, the stiffness ratio measured was 2.74 ± 0.86; the rate of relaxation, 7.82 ± 4.69/s; and the rate of contraction, -7.31±3.79 /s. The time constant of relaxation was 35.90 ± 20.04ms, and that of contraction was 37.24 ± 19.85ms. ARFI-derived indices of myocardial stiffness were found to be similar in both views. These results indicate the feasibility of using ARFI to measure dynamic myocardial stiffness trends in a non-invasive manner and also highlightthe technical challenges of implementing this method in the transthoracic imaging environment.
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Affiliation(s)
- Vaibhav Kakkad
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
| | - Melissa LeFevre
- Department of Cardiology, Duke University Hospital, Durham, North Carolina, USA
| | - Peter Hollender
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Joseph Kisslo
- Department of Cardiology, Duke University Hospital, Durham, North Carolina, USA
| | - Gregg E Trahey
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA; Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
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Vejdani-Jahromi M, Freedman J, Kim YJ, Trahey GE, Wolf PD. Assessment of Diastolic Function Using Ultrasound Elastography. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:551-561. [PMID: 29331356 PMCID: PMC5873966 DOI: 10.1016/j.ultrasmedbio.2017.11.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 11/17/2017] [Accepted: 11/20/2017] [Indexed: 06/07/2023]
Abstract
Shear wave elasticity imaging (SWEI) is a novel ultrasound elastography technique for assessing tissue stiffness. In this study, we investigate the potential of SWEI for providing diastolic functional assessment. In 11 isolated rabbit hearts, pressure-volume (PV) measurements were recorded simultaneously with SWEI recordings from the left ventricle free wall before and after induction of global ischemia. PV-based end diastolic stiffness increased by 100% after ischemia (p <0.05), and SWEI stiffness showed an increase of 103% (p <0.05). The relaxation time constant (τ) before and after ischemia derived from pressure and SWEI curves showed increases of 79% and 76%, respectively (p <0.05). A linear regression between pressure-derived and SWEI-based (τ) showed a slope of 1.164 with R2 = 0.80, indicating the near equivalence of the two assessments. SWEI can be used to derive (τ) values and myocardial end diastolic stiffness. In global conditions, these measurements are consistent with PV measurements of diastolic function.
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Affiliation(s)
| | - Jenna Freedman
- Biomedical Engineering Department, Duke University, Durham, NC, USA
| | - Young-Joong Kim
- Biomedical Engineering Department, Duke University, Durham, NC, USA
| | - Gregg E Trahey
- Biomedical Engineering Department, Duke University, Durham, NC, USA
| | - Patrick D Wolf
- Biomedical Engineering Department, Duke University, Durham, NC, USA.
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Dave JK, Mc Donald ME, Mehrotra P, Kohut AR, Eisenbrey JR, Forsberg F. Recent technological advancements in cardiac ultrasound imaging. ULTRASONICS 2018; 84:329-340. [PMID: 29223692 PMCID: PMC5808891 DOI: 10.1016/j.ultras.2017.11.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 10/27/2017] [Accepted: 11/20/2017] [Indexed: 05/07/2023]
Abstract
About 92.1 million Americans suffer from at least one type of cardiovascular disease. Worldwide, cardiovascular diseases are the number one cause of death (about 31% of all global deaths). Recent technological advancements in cardiac ultrasound imaging are expected to aid in the clinical diagnosis of many cardiovascular diseases. This article provides an overview of such recent technological advancements, specifically focusing on tissue Doppler imaging, strain imaging, contrast echocardiography, 3D echocardiography, point-of-care echocardiography, 3D volumetric flow assessments, and elastography. With these advancements ultrasound imaging is rapidly changing the domain of cardiac imaging. The advantages offered by ultrasound imaging include real-time imaging, imaging at patient bed-side, cost-effectiveness and ionizing-radiation-free imaging. Along with these advantages, the steps taken towards standardization of ultrasound based quantitative markers, reviewed here, will play a major role in addressing the healthcare burden associated with cardiovascular diseases.
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Affiliation(s)
- Jaydev K Dave
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
| | - Maureen E Mc Donald
- Department of Radiologic Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Praveen Mehrotra
- Division of Cardiology, Department of Medicine, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Andrew R Kohut
- Division of Cardiology, Department of Medicine, Drexel University College of Medicine, Philadelphia, PA 19129, USA
| | - John R Eisenbrey
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Flemming Forsberg
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA
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Schmidt EJ, Halperin HR. MRI use for atrial tissue characterization in arrhythmias and for EP procedure guidance. Int J Cardiovasc Imaging 2018; 34:81-95. [PMID: 28593399 PMCID: PMC5889521 DOI: 10.1007/s10554-017-1179-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 05/24/2017] [Indexed: 12/19/2022]
Abstract
We review the utilization of magnetic resonance imaging methods for classifying atrial tissue properties that act as a substrate for common cardiac arrhythmias, such as atrial fibrillation. We then review state-of-the-art methods for mapping this substrate as a predicate for treatment, as well as methods used to ablate the electrical pathways that cause arrhythmia and restore patients to sinus rhythm.
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Affiliation(s)
- Ehud J Schmidt
- Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
| | - Henry R Halperin
- Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
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