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Bernhard B, Joss P, Greisser N, Stark AW, Schütze J, Shiri I, Safarkhanlo Y, Fischer K, Guensch DP, Bastiaansen JAM, Pavlicek M, Benz DC, Kwong RY, Gräni C. Prognostic value of visual and quantitative CMR regional myocardial function in patients with suspected myocarditis. Int J Cardiovasc Imaging 2024; 40:907-920. [PMID: 38427272 PMCID: PMC11052711 DOI: 10.1007/s10554-024-03059-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 01/17/2024] [Indexed: 03/02/2024]
Abstract
According to updated Lake-Louise Criteria, impaired regional myocardial function serves as a supportive criterion in diagnosing myocarditis. This study aimed to assess visual regional wall motional abnormalities (RWMA) and novel quantitative regional longitudinal peak strain (RLS) for risk stratification in the clinical setting of myocarditis. In patients undergoing CMR and meeting clinical criteria for suspected myocarditis global longitudinal strain (GLS), late gadolinium enhancement (LGE), RWMA and RLS were assessed in the anterior, septal, inferior, and lateral regions and correlated to the occurrence of major adverse cardiac events (MACE), including heart failure hospitalization, sustained ventricular tachycardia, recurrent myocarditis, and all-cause death. In 690 consecutive patients (age: 48.0 ± 16.0 years; 37.7% female) with suspected myocarditis impaired RLS was correlated with RWMA and LV-GLS but not with the presence of LGE. At median follow up of 3.8 years, MACE occurred in 116 (16.8%) patients. Both, RWMA and RLS in anterior-, septal-, inferior-, and lateral- locations were univariately associated with outcomes (all p < 0.001), but not after adjusting for clinical characteristics and LV-GLS. In the subgroup of patients with normal LV function, RWMA were not predictive of outcomes, whereas septal RLS had incremental and independent prognostic value over clinical characteristics (HRadjusted = 1.132, 95% CI 1.020-1.256; p = 0.020). RWMA and RLS can be used to assess regional impairment of myocardial function in myocarditis but are of limited prognostic value in the overall population. However, in the subgroup of patients with normal LV function, septal RLS represents a distinctive marker of regional LV dysfunction, offering potential for risk-stratification.
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Affiliation(s)
- Benedikt Bernhard
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Philippe Joss
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Noah Greisser
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anselm W Stark
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jonathan Schütze
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Isaac Shiri
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Yasaman Safarkhanlo
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anaesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Dominik P Guensch
- Department of Anaesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Jessica A M Bastiaansen
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Maryam Pavlicek
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dominik C Benz
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Department of Cardiology, University Hospital Bern, Freiburgstrasse, CH - 3010, Bern, Switzerland.
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Gräni C, Stark AW, Fischer K, Fürholz M, Wahl A, Erne SA, Huber AT, Guensch DP, Vollenbroich R, Ruberti A, Dobner S, Heg D, Windecker S, Lanz J, Pilgrim T. Diagnostic performance of cardiac magnetic resonance segmental myocardial strain for detecting microvascular obstruction and late gadolinium enhancement in patients presenting after a ST-elevation myocardial infarction. Front Cardiovasc Med 2022; 9:909204. [PMID: 35911559 PMCID: PMC9329615 DOI: 10.3389/fcvm.2022.909204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMicrovascular obstruction (MVO) and Late Gadolinium Enhancement (LGE) assessed in cardiac magnetic resonance (CMR) are associated with adverse outcome in patients with ST-elevation myocardial infarction (STEMI). Our aim was to analyze the diagnostic performance of segmental strain for the detection of MVO and LGE.MethodsPatients with anterior STEMI, who underwent additional CMR were enrolled in this sub-study of the CARE-AMI trial. Using CMR feature tracking (FT) segmental circumferential peak strain (SCS) was measured and the diagnostic performance of SCS to discriminate MVO and LGE was assessed in a derivation and validation cohort.ResultsForty-eight STEMI patients (62 ± 12 years old), 39 (81%) males, who underwent CMR (i.e., mean 3.0 ± 1.5 days) after primary percutaneous coronary intervention (PCI) were included. All patients presented with LGE and in 40 (83%) patients, MVO was additionally present. Segments in all patients were visually classified and 146 (19%) segments showed MVO (i.e., LGE+/MVO+), 308 (40%) segments showed LGE and no MVO (i.e., LGE+/MVO–), and 314 (41%) segments showed no LGE (i.e., LGE–). Diagnostic performance of SCS for detecting MVO segments (i.e., LGE+/MVO+ vs. LGE+/MVO–, and LGE–) showed an AUC = 0.764 and SCS cut-off value was –11.2%, resulting in a sensitivity of 78% and a specificity of 67% with a positive predictive value (PPV) of 30% and a negative predictive value (NPV) of 94% when tested in the validation group. For LGE segments (i.e., LGE+/MVO+ and LGE+/MVO– vs. LGE–) AUC = 0.848 and SCS with a cut-off value of –13.8% yielded to a sensitivity of 76%, specificity of 74%, PPV of 81%, and NPV of 70%.ConclusionSegmental strain in STEMI patients was associated with good diagnostic performance for detection of MVO+ segments and very good diagnostic performance of LGE+ segments. Segmental strain may be useful as a potential contrast-free surrogate marker to improve early risk stratification in patients after primary PCI.
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Affiliation(s)
- Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- *Correspondence: Christoph Gräni,
| | - Anselm W. Stark
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Monika Fürholz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Wahl
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sophie A. Erne
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian T. Huber
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dominik P. Guensch
- Department of Anesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - René Vollenbroich
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrea Ruberti
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stephan Dobner
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dik Heg
- Clinical Trials Unit, University of Bern, Bern, Switzerland
| | - Stephan Windecker
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jonas Lanz
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thomas Pilgrim
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Orkild BA, Zenger B, Iyer K, Rupp LC, Ibrahim MM, Khashani AG, Perez MD, Foote MD, Bergquist JA, Morris AK, Kim JJ, Steinberg BA, Selzman C, Ratcliffe MB, MacLeod RS, Elhabian S, Morgan AE. All Roads Lead to Rome: Diverse Etiologies of Tricuspid Regurgitation Create a Predictable Constellation of Right Ventricular Shape Changes. Front Physiol 2022; 13:908552. [PMID: 35860653 PMCID: PMC9291517 DOI: 10.3389/fphys.2022.908552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/16/2022] [Indexed: 11/17/2022] Open
Abstract
Introduction: Myriad disorders cause right ventricular (RV) dilation and lead to tricuspid regurgitation (TR). Because the thin-walled, flexible RV is mechanically coupled to the pulmonary circulation and the left ventricular septum, it distorts with any disturbance in the cardiopulmonary system. TR, therefore, can result from pulmonary hypertension, left heart failure, or intrinsic RV dysfunction; but once it occurs, TR initiates a cycle of worsening RV volume overload, potentially progressing to right heart failure. Characteristic three-dimensional RV shape-changes from this process, and changes particular to individual TR causes, have not been defined in detail. Methods: Cardiac MRI was obtained in 6 healthy volunteers, 41 patients with ≥ moderate TR, and 31 control patients with cardiac disease without TR. The mean shape of each group was constructed using a three-dimensional statistical shape model via the particle-based shape modeling approach. Changes in shape were examined across pulmonary hypertension and congestive heart failure subgroups using principal component analysis (PCA). A logistic regression approach based on these PCA modes identified patients with TR using RV shape alone. Results: Mean RV shape in patients with TR exhibited free wall bulging, narrowing of the base, and blunting of the RV apex compared to controls (p < 0.05). Using four primary PCA modes, a logistic regression algorithm identified patients with TR correctly with 82% recall and 87% precision. In patients with pulmonary hypertension without TR, RV shape was narrower and more streamlined than in healthy volunteers. However, in RVs with TR and pulmonary hypertension, overall RV shape continued to demonstrate the free wall bulging characteristic of TR. In the subgroup of patients with congestive heart failure without TR, this intermediate state of RV muscular hypertrophy was not present. Conclusion: The multiple causes of TR examined in this study changed RV shape in similar ways. Logistic regression classification based on these shape changes reliably identified patients with TR regardless of etiology. Furthermore, pulmonary hypertension without TR had unique shape features, described here as the "well compensated" RV. These results suggest shape modeling as a promising tool for defining severity of RV disease and risk of decompensation, particularly in patients with pulmonary hypertension.
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Affiliation(s)
- Benjamin A. Orkild
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Brian Zenger
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Krithika Iyer
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- School of Computing, University of Utah, Salt Lake City, UT, United States
| | - Lindsay C. Rupp
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Majd M Ibrahim
- Division of Cardiovascular Medicine, University of Utah, Salt Lake City, UT, United States
| | - Atefeh G. Khashani
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
| | - Maura D. Perez
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
| | - Markus D. Foote
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Jake A. Bergquist
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Alan K. Morris
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
| | - Jiwon J. Kim
- Weill-Cornell Medical College, Division of Cardiology, New York, NY, United States
| | - Benjamin A. Steinberg
- Division of Cardiovascular Medicine, University of Utah, Salt Lake City, UT, United States
| | - Craig Selzman
- Division of Cardiothoracic Surgery, University of Utah, Salt Lake City, UT, United States
| | - Mark B. Ratcliffe
- Department of Surgery, The San Francisco VA Medical Center, University of California, San Francisco, San Francisco, CA, United States
| | - Rob S. MacLeod
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Shireen Elhabian
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
- School of Computing, University of Utah, Salt Lake City, UT, United States
- *Correspondence: Ashley E. Morgan, ; Shireen Elhabian,
| | - Ashley E. Morgan
- St. Luke’s Medical Center Cardiothoracic and Vascular Surgery, Boise, ID, United States
- *Correspondence: Ashley E. Morgan, ; Shireen Elhabian,
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Abstract
PURPOSE OF REVIEW The review summarizes the key parameters that can aid in determining the optimal treatment of ischemic mitral regurgitation (IMR). RECENT FINDINGS Left ventricular (LV) and mitral valve (MV) parameters are important for surgical planning and risk stratification in IMR. Although LV dimensions is one of the main parameters used in the guidelines, volumes more accurately depict LV remodelling. Furthermore, wall motion abnormalities and wall motion score index can also be useful for surgical planning in treatment of IMR. Viability is best measured with cardiac magnetic resonance, but it is not feasible in certain centres. In contrast, measurement of strain with echocardiography is an emerging and feasible tool for estimating viability. MV leaflet tethering and pattern measured with echocardiography are also useful for MV surgery. Anterior leaflet excursion angle can identify patients in whom undersized ring annuloplasty is potentially unsuitable. SUMMARY Treatment of IMR relies on accurate parameters that can determine the optimal surgical approach. In some patients, lack of viable myocardium suggests inadequacy of revascularization and thus, an adjunctive left ventricular reconstruction may be necessary. Degree and pattern of MV leaflet tethering can indicate whether ring annuloplasty, which is the most common repair technique, is sufficient or an adjunctive sub-valvular intervention is beneficial.
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Finite-element based optimization of left ventricular passive stiffness in normal volunteers and patients after myocardial infarction: Utility of an inverse deformation gradient calculation of regional diastolic strain. J Mech Behav Biomed Mater 2021; 119:104431. [PMID: 33930653 DOI: 10.1016/j.jmbbm.2021.104431] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 02/23/2021] [Accepted: 02/26/2021] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Left ventricular (LV) diastolic dysfunction (DD) is common after myocardial infarction (MI). Whereas current clinical assessment of DD relies on indirect markers including LV filling, finite element (FE) -based computational modeling directly measures regional diastolic stiffness. We hypothesized that an inverse deformation gradient (DG) method calculation of diastolic strain (IDGDS) allows the FE model-based calculation of regional diastolic stiffness (material parameters; MP) in post-MI patients with DD. METHODS Cardiac magnetic resonance (CMR) with tags (CSPAMM) and late gadolinium enhancement (LGE) was performed in 10 patients with post-MI DD and 10 healthy volunteers. The 3-dimensional (3D) LV DG from end-diastole (ED) to early diastolic filling (EDF; DGED→EDF) was calculated from CSPAMM. Diastolic strain was calculated from DGEDF→ED by inverting the DGED→EDF. FE models were created with MI and non-MI (remote; RM) regions determined by LGE. Guccione MPs C, and exponential fiber, bf, and transverse, bt , terms were optimized with IDGDS strain. RESULTS 3D circumferential and longitudinal diastolic strain (Ecc;Ell) calculated using IDGDS in CSPAMM obtained in volunteers and MI patients were [Formula: see text] = 0.27 ± 0.01, [Formula: see text] = 0.24 ± 0.03 and [Formula: see text] = 0.21 ± 0.02, and [Formula: see text] = 0.15 ± 0.02, respectively. MPs in the volunteer group were CH = 0.013 [0.001, 0.235] kPa, [Formula: see text] = 20.280 ± 4.994, and [Formula: see text] = 7.460 ± 2.171 and CRM = 0.0105 [0.010, 0.011] kPa, [Formula: see text] = 50.786 ± 13.511 (p = 0.0846), and [Formula: see text] = 17.355 ± 2.743 (p = 0.0208) in the remote myocardium of post-MI patients. CONCLUSION Diastolic strain, calculated from CSPAMM with IDGDS, enables calculation of FE model-based regional diastolic material parameters. Transverse stiffness of the remote myocardium, , may be a valuable new metric for determination of DD in patients after MI.
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Zhang Y, Wang VY, Morgan AE, Kim J, Ge L, Guccione JM, Weinsaft JW, Ratcliffe MB. A Novel MRI-Based Finite Element Modeling Method for Calculation of Myocardial Ischemia Effect in Patients With Functional Mitral Regurgitation. Front Physiol 2020; 11:158. [PMID: 32231584 PMCID: PMC7082816 DOI: 10.3389/fphys.2020.00158] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 02/12/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Functional Mitral Regurgitation (FMR) associated with coronary artery disease affects nearly 3 million patients in the United States. Both myocardial infarction (MI) and ischemia contribute to FMR development but uncertainty as to which patients will respond to revascularization (REVASC) of ischemia alone prevents rational decision making about FMR therapy. The aim of this study was to create patient-specific cardiac MRI (CMR) informed finite element (FE) models of the left ventricle (LV), calculate regional LV systolic contractility and then use optimized systolic material properties to simulate the effect of revascularization (virtual REVASC). METHODS We describe a novel FE method able to predict the effect of myocardial ischemia on regional LV function. CMR was obtained in five patients with multi-vessel coronary disease and FMR before and 3 months after percutaneous REVASC and a single healthy volunteer. Patient-specific FE models were created and divided into 17 sectors where the systolic contractility parameter, T m a x of each sector was a function of regional stress perfusion (SP-CMR) and myocardial infarction (LGE-CMR) scores. Sector-specific circumferential and longitudinal end-systolic strain and LV volume from CSPAMM were used in a formal optimization to determine the sector based myocardial contractility, T m a x and ischemia effect, α. Virtual REVASC was simulated by setting α to zero. RESULTS The FE optimization successfully converged with good agreement between calculated and experimental end-systolic strain and LV volumes. Specifically, the optimized T max for the healthy myocardium for five patients and the volunteer was 495.1, 336.8, 173.5, 227.9, 401.4, and 218.9 kPa. The optimized α was found to be 1.0, 0.44, and 0.08 for Patients 1, 2, and 3, and 0 for Patients 4 and 5. The calculated average of radial strain for Patients 1, 2, and 3 at baseline and after virtual REVASC was 0.23 and 0.25, respectively. CONCLUSION We developed a novel computational method able to predict the effect of myocardial ischemia in patients with FMR. This method can be used to predict the effect of ischemia on the regional myocardium and promises to facilitate better understanding of FMR response to REVASC.
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Affiliation(s)
- Yue Zhang
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
- Department of Bioengineering, University of California, San Francisco, San Francisco, CA, United States
| | - Vicky Y. Wang
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
- Department of Bioengineering, University of California, San Francisco, San Francisco, CA, United States
| | - Ashley E. Morgan
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Jiwon Kim
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Liang Ge
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
- Department of Bioengineering, University of California, San Francisco, San Francisco, CA, United States
| | - Julius M. Guccione
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
- Department of Bioengineering, University of California, San Francisco, San Francisco, CA, United States
| | | | - Mark B. Ratcliffe
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
- Department of Bioengineering, University of California, San Francisco, San Francisco, CA, United States
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Wang Y, Zhang Y, Xuan W, Kao E, Cao P, Tian B, Ordovas K, Saloner D, Liu J. Fully automatic segmentation of 4D MRI for cardiac functional measurements. Med Phys 2018; 46:180-189. [PMID: 30352129 DOI: 10.1002/mp.13245] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 09/10/2018] [Accepted: 09/12/2018] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Segmentation of cardiac medical images, an important step in measuring cardiac function, is usually performed either manually or semiautomatically. Fully automatic segmentation of the left ventricle (LV), the right ventricle (RV) as well as the myocardium of three-dimensional (3D) magnetic resonance (MR) images throughout the entire cardiac cycle (four-dimensional, 4D), remains challenging. This study proposes a deformable-based segmentation methodology for efficiently segmenting 4D (3D + t) cardiac MR images. METHODS The proposed methodology first used the Hough transform and the local Gaussian distribution method (LGD) to segment the LV endocardial contours from cardiac MR images. Following this, a novel level set-based shape prior method was applied to generate the LV epicardial contours and the RV boundary. RESULTS This automatic image segmentation approach has been applied to studies on 17 subjects. The results demonstrated that the proposed method was efficient compared to manual segmentation, achieving a segmentation accuracy with average Dice values of 88.62 ± 5.47%, 87.35 ± 7.26%, and 82.63 ± 6.22% for the LV endocardial, LV epicardial, and RV contours, respectively. CONCLUSIONS We have presented a method for accurate LV and RV segmentation. Compared to three existing methods, the proposed method can successfully segment the LV and yield the highest Dice value. This makes it an option for clinical assessment of the volume, size, and thickness of the ventricles.
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Affiliation(s)
- Yan Wang
- Department of Radiology, University of California San Francisco, San Francisco, CA, 94121, USA
| | - Yue Zhang
- Department of Surgery, University of California San Francisco, San Francisco, CA, 94121, USA.,Veteran Affairs Medical Center, San Francisco, CA, 94121, USA
| | - Wanling Xuan
- The Ohio State University Wexner Medical Center, Columbus, Ohio, 43210, USA
| | - Evan Kao
- Department of Radiology, University of California San Francisco, San Francisco, CA, 94121, USA.,University of California Berkeley, Berkeley, CA, 94720, USA
| | - Peng Cao
- Department of Radiology, University of California San Francisco, San Francisco, CA, 94107, USA
| | - Bing Tian
- Department of Radiology, Changhai Hospital, Shanghai, 200433, China
| | - Karen Ordovas
- Department of Radiology, University of California San Francisco, San Francisco, CA, 94121, USA
| | - David Saloner
- Department of Radiology, University of California San Francisco, San Francisco, CA, 94121, USA.,Department of Surgery, University of California San Francisco, San Francisco, CA, 94121, USA
| | - Jing Liu
- Department of Radiology, University of California San Francisco, San Francisco, CA, 94108, USA
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Beaudoin J, Sénéchal M. Strain overestimates non-viable myocardium in patients with ischemic mitral regurgitation: understandable discrepancy of complementary methods? J Thorac Dis 2018; 10:S3946-S3950. [PMID: 30631523 PMCID: PMC6297517 DOI: 10.21037/jtd.2018.09.69] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Accepted: 09/12/2018] [Indexed: 09/02/2023]
Affiliation(s)
- Jonathan Beaudoin
- Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada
| | - Mario Sénéchal
- Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, QC, Canada
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Sinha S, Vohra HA. Editorial on 'Estimation of Myocardial Viability in Patients with Ischaemic Mitral Regurgitation' (Morgan et al.). J Thorac Dis 2018; 10:S4073-S4075. [PMID: 30631558 PMCID: PMC6297527 DOI: 10.21037/jtd.2018.09.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 09/19/2018] [Indexed: 04/07/2024]
Affiliation(s)
- Shubhra Sinha
- Bristol Heart Institute, University Hospitals Bristol, Bristol, UK
| | - Hunaid A Vohra
- Bristol Heart Institute, University Hospitals Bristol, Bristol, UK
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Kislitsina ON. Invited Commentary. Ann Thorac Surg 2018; 105:1761-1762. [PMID: 29501661 DOI: 10.1016/j.athoracsur.2018.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 02/01/2018] [Indexed: 10/17/2022]
Affiliation(s)
- Olga N Kislitsina
- Research Center for Heart Failure, Bluhm Cardiovascular Institute Northwestern University, Cardiac Surgery Department, Cardiology Department, 201 E Huron St, Galter 11-140, Chicago, IL 60611-2908.
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