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Craine A, Krishnamurthy A, Villongco CT, Vincent K, Krummen DE, Narayan SM, Kerckhoffs RCP, Omens JH, Contijoch F, McCulloch AD. Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure. PLoS Comput Biol 2024; 20:e1012150. [PMID: 39388481 DOI: 10.1371/journal.pcbi.1012150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 09/18/2024] [Indexed: 10/12/2024] Open
Abstract
In patients with dyssynchronous heart failure (DHF), cardiac conduction abnormalities cause the regional distribution of myocardial work to be non-homogeneous. Cardiac resynchronization therapy (CRT) using an implantable, programmed biventricular pacemaker/defibrillator, can improve the synchrony of contraction between the right and left ventricles in DHF, resulting in reduced morbidity and mortality and increased quality of life. Since regional work depends on wall stress, which cannot be measured in patients, we used computational methods to investigate regional work distributions and their changes after CRT. We used three-dimensional multi-scale patient-specific computational models parameterized by anatomic, functional, hemodynamic, and electrophysiological measurements in eight patients with heart failure and left bundle branch block (LBBB) who received CRT. To increase clinical translatability, we also explored whether streamlined computational methods provide accurate estimates of regional myocardial work. We found that CRT increased global myocardial work efficiency with significant improvements in non-responders. Reverse ventricular remodeling after CRT was greatest in patients with the highest heterogeneity of regional work at baseline, however the efficacy of CRT was not related to the decrease in overall work heterogeneity or to the reduction in late-activated regions of high myocardial work. Rather, decreases in early-activated regions of myocardium performing negative myocardial work following CRT best explained patient variations in reverse remodeling. These findings were also observed when regional myocardial work was estimated using ventricular pressure as a surrogate for myocardial stress and changes in endocardial surface area as a surrogate for strain. These new findings suggest that CRT promotes reverse ventricular remodeling in human dyssynchronous heart failure by increasing regional myocardial work in early-activated regions of the ventricles, where dyssynchrony is specifically associated with hypoperfusion, late systolic stretch, and altered metabolic activity and that measurement of these changes can be performed using streamlined approaches.
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Affiliation(s)
- Amanda Craine
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
| | - Adarsh Krishnamurthy
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
- Department of Mechanical Engineering, Iowa State University, Ames, Iowa, United States of America
| | - Christopher T Villongco
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
| | - Kevin Vincent
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
| | - David E Krummen
- Department of Medicine (Cardiology), University of California San Diego, La Jolla, California, United States of America
- US Department of Veterans Affairs San Diego Healthcare System, San Diego, California, United States of America
| | - Sanjiv M Narayan
- Stanford University Medical Center, Stanford, California, United States of America
| | - Roy C P Kerckhoffs
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
| | - Jeffrey H Omens
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
- Department of Medicine (Cardiology), University of California San Diego, La Jolla, California, United States of America
| | - Francisco Contijoch
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
- Department of Radiology, University of California San Diego, La Jolla, California, United States of America
| | - Andrew D McCulloch
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
- Department of Medicine (Cardiology), University of California San Diego, La Jolla, California, United States of America
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Craine A, Scott A, Desai D, Kligerman S, Adler E, Kim NH, Alshawabkeh L, Contijoch F. 3D regional evaluation of right ventricular myocardial work from cineCT. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.30.24311094. [PMID: 39132470 PMCID: PMC11312672 DOI: 10.1101/2024.07.30.24311094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Background Regional myocardial work (MW) is not measured in the right ventricle (RV) due to a lack of high spatial resolution regional strain (RS) estimates throughout the ventricle. We present a cineCT-based approach to evaluate regional RV performance and demonstrate its ability to phenotype three complex populations: end-stage LV failure (HF), chronic thromboembolic pulmonary hypertension (CTEPH), and repaired tetralogy of Fallot (rTOF). Methods 49 patients (19 HF, 11 CTEPH, 19 rTOF) underwent cineCT and right heart catheterization (RHC). RS was estimated from full-cycle ECG-gated cineCT and combined with RHC pressure waveforms to create regional pressure-strain loops; endocardial MW was measured as the loop area. Detailed, 3D mapping of RS and MW enabled spatial visualization of strain and work strength, and phenotyping of patients. Results HF patients demonstrated more overall impaired strain and work compared to the CTEPH and rTOF cohorts. For example, the HF patients had more akinetic areas (median: 9%) than CTEPH (median: <1%, p=0.02) and rTOF (median: 1%, p<0.01) and performed more low work (median: 69%) than the rTOF cohort (median: 38%, p<0.01). The CTEPH cohort had more impairment in the septal wall; <1% of the free wall and 16% of the septal wall performed negative work. The rTOF cohort demonstrated a wide distribution of strain and work, ranging from hypokinetic to hyperkinetic strain and low to medium-high work. Impaired strain (-0.15≤RS) and negative work were strongly-to-very strongly correlated with RVEF (R=-0.89, p<0.01; R=-0.70, p<0.01 respectively), while impaired work (MW≤5 mmHg) was moderately correlated with RVEF (R=-0.53, p<0.01). Conclusions Regional RV MW maps can be derived from clinical CT and RHC studies and can provide patient-specific phenotyping of RV function in complex heart disease patients. Clinical Perspective Evaluating regional variations in right ventricular (RV) performance can be challenging, particularly in patients with significant impairments due to the need for 3D spatial coverage with high spatial resolution. ECG-gated cineCT can fully visualize the RV and be used to quantify regional strain with high spatial resolution. However, strain is influenced by loading conditions. Myocardial work (MW) - measured clinically derived as the ventricular pressure-strain loop area - is considered a more comprehensive metric due to its independence of preload and afterload. In this study, we sought to develop regional RV myocardial work (MW) assessments in 3D with high spatial resolution by combining cineCT-derived regional strain with RV pressure waveforms from right heart catheterization (RHC). We developed our method using data from three clinical cohorts who routinely undergo cineCT and RHC: patients in heart failure, patients with chronic thromboembolic pulmonary hypertension, and adults with repaired tetralogy of Fallot.We demonstrate that regional strain and work provide different perspectives on RV performance. While strain can be used to evaluate apparent function, similar profiles of RV strain can lead to different MW estimates. Specifically, MW integrates apparent strain with measures of afterload, and timing information helps to account for dyssynchrony. As a result, CT-based assessment of RV MW appears to be a useful new metric for the care of patients with dysfunction.
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Affiliation(s)
- Amanda Craine
- Department of Bioengineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
| | - Anderson Scott
- Department of Bioengineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
| | - Dhruvi Desai
- Department of Bioengineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
| | - Seth Kligerman
- Department of Radiology, National Jewish Health, 1400 Jackson Street, Denver, CO USA
| | - Eric Adler
- Division of Cardiovascular Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
| | - Nick H Kim
- Division of Pulmonary, Critical Care, Sleep Medicine & Physiology, Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
| | - Laith Alshawabkeh
- Division of Cardiovascular Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
| | - Francisco Contijoch
- Department of Bioengineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
- Department of Radiology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA USA
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Craine A, Krishnamurthy A, Villongco CT, Vincent K, Krummen DE, Narayan SM, Kerckhoffs RCP, Omens JH, Contijoch F, McCulloch AD. Successful Cardiac Resynchronization Therapy Reduces Negative Septal Work in Patient-Specific Models of Dyssynchronous Heart Failure. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.13.593804. [PMID: 38798676 PMCID: PMC11118505 DOI: 10.1101/2024.05.13.593804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
In patients with dyssynchronous heart failure (DHF), cardiac conduction abnormalities cause the regional distribution of myocardial work to be non-homogeneous. Cardiac resynchronization therapy (CRT) using an implantable, programmed biventricular pacemaker/defibrillator, can improve the synchrony of contraction between the right and left ventricles in DHF, resulting in reduced morbidity and mortality and increased quality of life. Since regional work depends on wall stress, which cannot be measured in patients, we used computational methods to investigate regional work distributions and their changes after CRT. We used three-dimensional multi-scale patient-specific computational models parameterized by anatomic, functional, hemodynamic, and electrophysiological measurements in eight patients with heart failure and left bundle branch block (LBBB) who received CRT. To increase clinical translatability, we also explored whether streamlined computational methods provide accurate estimates of regional myocardial work. We found that CRT increased global myocardial work efficiency with significant improvements in non-responders. Reverse ventricular remodeling after CRT was greatest in patients with the highest heterogeneity of regional work at baseline, however the efficacy of CRT was not related to the decrease in overall work heterogeneity or to the reduction in late-activated regions of high myocardial work. Rather, decreases in early-activated regions of myocardium performing negative myocardial work following CRT best explained patient variations in reverse remodeling. These findings were also observed when regional myocardial work was estimated using ventricular pressure as a surrogate for myocardial stress and changes in endocardial surface area as a surrogate for strain. These new findings suggest that CRT promotes reverse ventricular remodeling in human dyssynchronous heart failure by increasing regional myocardial work in early-activated regions of the ventricles, where dyssynchrony is specifically associated with hypoperfusion, late systolic stretch, and altered metabolic activity and that measurement of these changes can be performed using streamlined approaches.
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Affiliation(s)
- Amanda Craine
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Adarsh Krishnamurthy
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
| | | | - Kevin Vincent
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - David E. Krummen
- Department of Medicine (Cardiology), University of California San Diego, CA 92093, USA
- US Department of Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA
| | | | - Roy C. P. Kerckhoffs
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Jeffrey H. Omens
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Department of Medicine (Cardiology), University of California San Diego, CA 92093, USA
| | - Francisco Contijoch
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Department of Radiology, University of California San Diego, CA 92093, USA
| | - Andrew D. McCulloch
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Department of Medicine (Cardiology), University of California San Diego, CA 92093, USA
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Manohar A, Yang J, Pack JD, Ho G, McVeigh ER. Motion correction of wide-detector 4DCT images for cardiac resynchronization therapy planning. J Cardiovasc Comput Tomogr 2024; 18:170-178. [PMID: 38242778 PMCID: PMC11087942 DOI: 10.1016/j.jcct.2024.01.007] [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: 10/16/2023] [Revised: 12/11/2023] [Accepted: 01/07/2024] [Indexed: 01/21/2024]
Abstract
BACKGROUND Lead placement at the latest mechanically activated left ventricle (LV) segments is strongly correlated with response to cardiac resynchronization therapy (CRT). We demonstrate the feasibility of a cardiac 4DCT motion correction algorithm (ResyncCT) in estimating LV mechanical activation for guiding lead placement in CRT. METHODS Subjects with full cardiac cycle 4DCT images acquired using a wide-detector CT scanner for CRT planning/upgrade were included. 4DCT images exhibited motion artifact-induced false-dyssynchrony, hindering LV mechanical activation time estimation. Motion-corrupted images were processed with ResyncCT to yield motion-corrected images. Time to onset of shortening (TOS) was estimated in each of 72 endocardial segments. A false-dyssynchrony index (FDI) was used to quantify the extent of motion artifacts in the uncorrected and the ResyncCT images. After motion correction, the change in classification of LV free-wall segments as optimal target sites for lead placement was investigated. RESULTS Twenty subjects (70.7 ± 13.9 years, 6 female) were analyzed. Motion artifacts in the ResyncCT-processed images were significantly reduced (FDI: 28.9 ± 9.3 % vs 47.0 ± 6.0 %, p < 0.001). In 10 (50 %) subjects, ResyncCT motion correction yielded statistically different TOS estimates (p < 0.05). Additionally, 43 % of LV free-wall segments were reclassified as optimal target sites for lead placement after motion correction. CONCLUSIONS ResyncCT significantly reduced motion artifacts in wide-detector cardiac 4DCT images, yielded statistically different time to onset of shortening estimates, and changed the location of optimal target sites for lead placement. These results highlight the potential utility of ResyncCT motion correction in CRT planning when using wide-detector 4DCT imaging.
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Affiliation(s)
- Ashish Manohar
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA; Department of Radiology, Stanford University, Stanford, CA, USA; Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - James Yang
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Jed D Pack
- Radiation Systems Lab, GE Global Research, Niskayuna, New York, USA
| | - Gordon Ho
- Department of Medicine, Division of Cardiology, University of California San Diego, La Jolla, CA, USA
| | - Elliot R McVeigh
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Department of Medicine, Division of Cardiology, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA.
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Chen Z, Contijoch F, Kahn AM, Kligerman S, Narayan HK, Manohar A, McVeigh E. Myocardial Regional Shortening from 4D Cardiac CT Angiography for the Detection of Left Ventricular Segmental Wall Motion Abnormality. Radiol Cardiothorac Imaging 2023; 5:e220134. [PMID: 37124646 PMCID: PMC10141330 DOI: 10.1148/ryct.220134] [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: 06/30/2022] [Revised: 01/22/2023] [Accepted: 01/30/2023] [Indexed: 05/02/2023]
Abstract
Purpose To investigate whether endocardial regional shortening computed from four-dimensional (4D) CT angiography (RSCT) can be used as a decision classifier to detect the presence of left ventricular (LV) wall motion abnormalities (WMAs). Materials and Methods One hundred electrocardiographically gated cardiac 4D CT studies (mean age, 59 years ± 14 [SD]; 61 male patients) conducted between April 2018 and December 2020 were retrospectively evaluated. Three experts labeled LV wall motion in each of the 16 American Heart Association (AHA) segments as normal or abnormal; they also measured peak RSCT across one heartbeat in each segment. The data set was split evenly into training and validation groups. During training, interchangeability of RSCT thresholding with experts to detect WMA was assessed using the individual equivalence index (γ), and an optimal threshold of the peak RSCT (RSCT*) that achieved maximum agreement was identified. RSCT* was then validated using the validation group, and the effect of AHA segment-specific thresholds was evaluated. Agreement was assessed using κ statistics. Results The optimal threshold, RSCT* of -0.19, when applied to all AHA segments, led to high agreement (agreement rate = 92.17%, κ = 0.82) and interchangeability with experts (γ = -2.58%). The same RSCT* also achieved high agreement in the validation group (agreement rate = 90.29%, κ = 0.76, γ = -0.38%). The use of AHA segment-specific thresholds (range: 0.16 to -0.23 across AHA segments) slightly improved agreement (1.79% increase). Conclusion RSCT thresholding was interchangeable with expert visual analysis in detecting segmental WMA from 4D CT and may be used as an objective decision classifier.Keywords: CT, Left Ventricle, Regional Endocardial Shortening, Wall Motion Abnormality Supplemental material is available for this article. © RSNA, 2023.
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Affiliation(s)
- Zhennong Chen
- From the Departments of Bioengineering (Z.C., F.C., E.M.) and
Mechanical and Aerospace Engineering (A.M.), UC San Diego School of Engineering,
La Jolla, Calif; and Departments of Radiology (F.C., S.K., E.M.), Cardiology
(A.M.K., E.M.), and Pediatrics (H.K.N.), UC San Diego School of Medicine, 9452
Medical Dr, La Jolla, CA 92037
| | - Francisco Contijoch
- From the Departments of Bioengineering (Z.C., F.C., E.M.) and
Mechanical and Aerospace Engineering (A.M.), UC San Diego School of Engineering,
La Jolla, Calif; and Departments of Radiology (F.C., S.K., E.M.), Cardiology
(A.M.K., E.M.), and Pediatrics (H.K.N.), UC San Diego School of Medicine, 9452
Medical Dr, La Jolla, CA 92037
| | - Andrew M. Kahn
- From the Departments of Bioengineering (Z.C., F.C., E.M.) and
Mechanical and Aerospace Engineering (A.M.), UC San Diego School of Engineering,
La Jolla, Calif; and Departments of Radiology (F.C., S.K., E.M.), Cardiology
(A.M.K., E.M.), and Pediatrics (H.K.N.), UC San Diego School of Medicine, 9452
Medical Dr, La Jolla, CA 92037
| | - Seth Kligerman
- From the Departments of Bioengineering (Z.C., F.C., E.M.) and
Mechanical and Aerospace Engineering (A.M.), UC San Diego School of Engineering,
La Jolla, Calif; and Departments of Radiology (F.C., S.K., E.M.), Cardiology
(A.M.K., E.M.), and Pediatrics (H.K.N.), UC San Diego School of Medicine, 9452
Medical Dr, La Jolla, CA 92037
| | - Hari K. Narayan
- From the Departments of Bioengineering (Z.C., F.C., E.M.) and
Mechanical and Aerospace Engineering (A.M.), UC San Diego School of Engineering,
La Jolla, Calif; and Departments of Radiology (F.C., S.K., E.M.), Cardiology
(A.M.K., E.M.), and Pediatrics (H.K.N.), UC San Diego School of Medicine, 9452
Medical Dr, La Jolla, CA 92037
| | - Ashish Manohar
- From the Departments of Bioengineering (Z.C., F.C., E.M.) and
Mechanical and Aerospace Engineering (A.M.), UC San Diego School of Engineering,
La Jolla, Calif; and Departments of Radiology (F.C., S.K., E.M.), Cardiology
(A.M.K., E.M.), and Pediatrics (H.K.N.), UC San Diego School of Medicine, 9452
Medical Dr, La Jolla, CA 92037
| | - Elliot McVeigh
- From the Departments of Bioengineering (Z.C., F.C., E.M.) and
Mechanical and Aerospace Engineering (A.M.), UC San Diego School of Engineering,
La Jolla, Calif; and Departments of Radiology (F.C., S.K., E.M.), Cardiology
(A.M.K., E.M.), and Pediatrics (H.K.N.), UC San Diego School of Medicine, 9452
Medical Dr, La Jolla, CA 92037
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Manohar A, Colvert GM, Ortuño JE, Chen Z, Yang J, Colvert BT, Bandettini WP, Chen MY, Ledesma-Carbayo MJ, McVeigh ER. Regional left ventricular endocardial strains estimated from low-dose 4DCT: Comparison with cardiac magnetic resonance feature tracking. Med Phys 2022; 49:5841-5854. [PMID: 35751864 PMCID: PMC9474637 DOI: 10.1002/mp.15818] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/31/2022] [Accepted: 06/10/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Estimates of regional left ventricular (LV) strains provide additional information to global function parameters such as ejection fraction (EF) and global longitudinal strain (GLS) and are more sensitive in detecting abnormal regional cardiac function. The accurate and reproducible assessment of regional cardiac function has implications in the management of various cardiac diseases such as heart failure, myocardial ischemia, and dyssynchrony. PURPOSE To develop a method that yields highly reproducible, high-resolution estimates of regional endocardial strains from 4DCT images. METHODS A method for estimating regional LV endocardial circumferential( ε c c ) $( {{\epsilon }_{cc}} )$ and longitudinal (ε l l ${\epsilon }_{ll}$ ) strains from 4DCT was developed. Point clouds representing the LV endocardial surface were extracted for each time frame of the cardiac cycle from 4DCT images. 3D deformation fields across the cardiac cycle were obtained by registering the end diastolic point cloud to each subsequent point cloud in time across the cardiac cycle using a 3D point-set registration technique. From these deformation fields,ε c c and ε l l ${\epsilon }_{cc}\ {\rm{and\ }}{\epsilon }_{ll}$ were estimated over the entire LV endocardial surface by fitting an affine transformation with maximum likelihood estimation. The 4DCT-derived strains were compared with strains estimated in the same subjects by cardiac magnetic resonance (CMR); twenty-four subjects had CMR scans followed by 4DCT scans acquired within a few hours. Regional LV circumferential and longitudinal strains were estimated from the CMR images using a commercially available feature tracking software (cvi42). Global circumferential strain (GCS) and global longitudinal strain (GLS) were calculated as the mean of the regional strains across the entire LV for both modalities. Pearson correlation coefficients and Bland-Altman analyses were used for comparisons. Intraclass correlation coefficients (ICC) were used to assess the inter- and intraobserver reproducibility of the 4DCT-derived strains. RESULTS The 4DCT-derived regional strains correlated well with the CMR-derived regional strains (ε c c ${\epsilon }_{cc}$ : r = 0.76, p < 0.001;ε l l ${\epsilon }_{ll}$ : r = 0.64, p < 0.001). A very strong correlation was found between 4DCT-derived GCS and 4DCT-derived EF (r = -0.96; p < 0.001). The 4DCT-derived strains were also highly reproducible, with very low inter- and intraobserver variability (intraclass correlation coefficients in the range of [0.92, 0.99]). CONCLUSIONS We have developed a novel method to estimate high-resolution regional LV endocardial circumferential and longitudinal strains from 4DCT images. Except for the definition of the mitral valve and LV outflow tract planes, the method is completely user independent, thus yielding highly reproducible estimates of endocardial strain. The 4DCT-derived strains correlated well with those estimated using a commercial CMR feature tracking software. The promising results reported in this study highlight the potential utility of 4DCT in the precise assessment of regional cardiac function for the management of cardiac disease.
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Affiliation(s)
- Ashish Manohar
- Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, California, USA
| | - Gabrielle M Colvert
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Juan E Ortuño
- Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain
- Biomedical Image Technologies Laboratory, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Zhennong Chen
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - James Yang
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Brendan T Colvert
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Marcus Y Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - María J Ledesma-Carbayo
- Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain
- Biomedical Image Technologies Laboratory, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Elliot R McVeigh
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
- Department of Medicine, Cardiovascular Division, University of California San Diego, La Jolla, California, USA
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Manohar A, Colvert GM, Yang J, Chen Z, Ledesma-Carbayo MJ, Kronborg MB, Sommer A, Nørgaard BL, Nielsen JC, McVeigh ER. Prediction of Cardiac Resynchronization Therapy Response Using a Lead Placement Score Derived From 4-Dimensional Computed Tomography. Circ Cardiovasc Imaging 2022; 15:e014165. [PMID: 35973012 PMCID: PMC9558060 DOI: 10.1161/circimaging.122.014165] [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: 02/28/2022] [Accepted: 07/19/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND Cardiac resynchronization therapy (CRT) is an effective treatment for patients with heart failure; however, 30% of patients do not respond to the treatment. We sought to derive patient-specific left ventricle maps of lead placement scores (LPS) that highlight target pacing lead sites for achieving a higher probability of CRT response. METHODS Eighty-two subjects recruited for the ImagingCRT trial (Empiric Versus Imaging Guided Left Ventricular Lead Placement in Cardiac Resynchronization Therapy) were retrospectively analyzed. All 82 subjects had 2 contrast-enhanced full cardiac cycle 4-dimensional computed tomography scans: a baseline and a 6-month follow-up scan. CRT response was defined as a reduction in computed tomography-derived end-systolic volume ≥15%. Eight left ventricle features derived from the baseline scans were used to train a support vector machine via a bagging approach. An LPS map over the left ventricle was created for each subject as a linear combination of the support vector machine feature weights and the subject's own feature vector. Performance for distinguishing responders was performed on the original 82 subjects. RESULTS Fifty-two (63%) subjects were responders. Subjects with an LPS≤Q1 (lower-quartile) had a posttest probability of responding of 14% (3/21), while subjects with an LPS≥ Q3 (upper-quartile) had a posttest probability of responding of 90% (19/21). Subjects with Q1 CONCLUSIONS An LPS map was defined using 4-dimensional computed tomography-derived features of left ventricular mechanics. The LPS correlated with CRT response, reclassifying 25% of the subjects into low probability of response, 25% into high probability of response, and 50% unchanged. These encouraging results highlight the potential utility of 4-dimensional computed tomography in guiding patient selection for CRT. The present findings need verification in larger independent data sets and prospective trials.
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Affiliation(s)
- Ashish Manohar
- Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, California, USA
| | - Gabrielle M. Colvert
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - James Yang
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Zhennong Chen
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Maria J. Ledesma-Carbayo
- Biomedical Image Technologies Laboratory, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain
| | | | - Anders Sommer
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Jens Cosedis Nielsen
- Department of Cardiology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Elliot R. McVeigh
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
- Department of Medicine, Cardiovascular Division, University of California San Diego, La Jolla, California, USA
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Chen Z, Contijoch F, Colvert GM, Manohar A, Kahn AM, Narayan HK, McVeigh E. Detection of left ventricular wall motion abnormalities from volume rendering of 4DCT cardiac angiograms using deep learning. Front Cardiovasc Med 2022; 9:919751. [PMID: 35966529 PMCID: PMC9366190 DOI: 10.3389/fcvm.2022.919751] [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: 04/13/2022] [Accepted: 05/27/2022] [Indexed: 12/02/2022] Open
Abstract
Background The presence of left ventricular (LV) wall motion abnormalities (WMA) is an independent indicator of adverse cardiovascular events in patients with cardiovascular diseases. We develop and evaluate the ability to detect cardiac wall motion abnormalities (WMA) from dynamic volume renderings (VR) of clinical 4D computed tomography (CT) angiograms using a deep learning (DL) framework. Methods Three hundred forty-three ECG-gated cardiac 4DCT studies (age: 61 ± 15, 60.1% male) were retrospectively evaluated. Volume-rendering videos of the LV blood pool were generated from 6 different perspectives (i.e., six views corresponding to every 60-degree rotation around the LV long axis); resulting in 2058 unique videos. Ground-truth WMA classification for each video was performed by evaluating the extent of impaired regional shortening visible (measured in the original 4DCT data). DL classification of each video for the presence of WMA was performed by first extracting image features frame-by-frame using a pre-trained Inception network and then evaluating the set of features using a long short-term memory network. Data were split into 60% for 5-fold cross-validation and 40% for testing. Results Volume rendering videos represent ~800-fold data compression of the 4DCT volumes. Per-video DL classification performance was high for both cross-validation (accuracy = 93.1%, sensitivity = 90.0% and specificity = 95.1%, κ: 0.86) and testing (90.9, 90.2, and 91.4% respectively, κ: 0.81). Per-study performance was also high (cross-validation: 93.7, 93.5, 93.8%, κ: 0.87; testing: 93.5, 91.9, 94.7%, κ: 0.87). By re-binning per-video results into the 6 regional views of the LV we showed DL was accurate (mean accuracy = 93.1 and 90.9% for cross-validation and testing cohort, respectively) for every region. DL classification strongly agreed (accuracy = 91.0%, κ: 0.81) with expert visual assessment. Conclusions Dynamic volume rendering of the LV blood pool combined with DL classification can accurately detect regional WMA from cardiac CT.
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Affiliation(s)
- Zhennong Chen
- Department of Bioengineering, UC San Diego School of Engineering, La Jolla, CA, United States
| | - Francisco Contijoch
- Department of Bioengineering, UC San Diego School of Engineering, La Jolla, CA, United States
- Department of Radiology, UC San Diego School of Medicine, La Jolla, CA, United States
| | - Gabrielle M. Colvert
- Department of Bioengineering, UC San Diego School of Engineering, La Jolla, CA, United States
| | - Ashish Manohar
- Department of Mechanical and Aerospace Engineering, UC San Diego School of Engineering, La Jolla, CA, United States
| | - Andrew M. Kahn
- Department of Cardiology, UC San Diego School of Medicine, La Jolla, CA, United States
| | - Hari K. Narayan
- Department of Pediatrics, UC San Diego School of Medicine, La Jolla, CA, United States
| | - Elliot McVeigh
- Department of Bioengineering, UC San Diego School of Engineering, La Jolla, CA, United States
- Department of Radiology, UC San Diego School of Medicine, La Jolla, CA, United States
- Department of Cardiology, UC San Diego School of Medicine, La Jolla, CA, United States
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