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Franson D, Ahad J, Liu Y, Fyrdahl A, Truesdell W, Hamilton J, Seiberlich N. Self-calibrated through-time spiral GRAPPA for real-time, free-breathing evaluation of left ventricular function. Magn Reson Med 2023; 89:536-549. [PMID: 36198001 PMCID: PMC10092570 DOI: 10.1002/mrm.29462] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 07/15/2022] [Accepted: 08/26/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE Through-time spiral GRAPPA is a real-time imaging technique that enables ungated, free-breathing evaluation of the left ventricle. However, it requires a separate fully-sampled calibration scan to calculate GRAPPA weights. A self-calibrated through-time spiral GRAPPA method is proposed that uses a specially designed spiral trajectory with interleaved arm ordering such that consecutive undersampled frames can be merged to form calibration data, eliminating the separate fully-sampled acquisition. THEORY AND METHODS The proposed method considers the time needed to acquire data at all points in a GRAPPA calibration kernel when using interleaved arm ordering. Using this metric, simulations were performed to design a spiral trajectory for self-calibrated GRAPPA. Data were acquired in healthy volunteers using the proposed method and a comparison electrocardiogram-gated and breath-held cine scan. Left ventricular functional values and image quality are compared. RESULTS A 12-arm spiral trajectory was designed with a temporal resolution of 32.72 ms/cardiac phase with an acceleration factor of 3. Functional values calculated using the proposed method and the gold-standard method were not statistically significantly different (paired t-test, p < 0.05). Image quality ratings were lower for the proposed method, with statistically significantly different ratings (Wilcoxon signed rank test, p < 0.05) for two of five image quality aspects rated (level of artifact, blood-myocardium contrast). CONCLUSIONS A self-calibrated through-time spiral GRAPPA reconstruction can enable ungated, free-breathing evaluation of the left ventricle in 71 s. Functional values are equivalent to a gold-standard cine technique, although some aspects of image quality may be inferior due to the real-time nature of the data collection.
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Affiliation(s)
- Dominique Franson
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - James Ahad
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Yuchi Liu
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Alexander Fyrdahl
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - William Truesdell
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Jesse Hamilton
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
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Yin G, Cui C, An J, Zhao K, Yang K, Li S, Yang X, Wang J, Dong Z, Yu S, He J, Chen X, Lu M, Zhao S. Assessment of Left Ventricular Systolic Function by Cardiovascular Magnetic Resonance Compressed Sensing Real-Time Cine Imaging Combined With Area-Length Method in Normal Sinus Rhythm and Atrial Fibrillation. Front Cardiovasc Med 2022; 9:896816. [PMID: 35711346 PMCID: PMC9197321 DOI: 10.3389/fcvm.2022.896816] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/03/2022] [Indexed: 11/30/2022] Open
Abstract
Background The most-commonly used multi-slice Simpson's method employed with routine two-dimensional segmented cine images makes it difficult to evaluate left ventricular (LV) volume and function due to endocardial border blurring and beat-to-beat variation during atrial fibrillation (AF) status. Objectives To assess the feasibility of compressed sensing real-time (CSRT) cine imaging combined with an area-length method for quantification of LV systolic function in normal sinus rhythm (NSR) and AF. Methods The CSRT cine sequence and routine segmented balanced Steady-State-Free-Precession cine sequence were performed in 71 patients with NSR (n = 36) or AF (n = 35). Image quality and edge sharpness for both sequences were assessed. The LV functional measurements in patients with NSR included end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), cardiac output (CO), cardiac index (CI), and LV mass (LVM); all were assessed using segmented cine with Simpson's rule in short axis (SegSA_Simpson, as a reference standard) and area-length (AL) method in the two chamber (Seg2CH_AL) or four chamber (Seg4CH_AL) and CSRT cine with AL method in the two chamber (CSRT2CH_AL) or four chamber (CSRT4CH_AL). Finally, the mean, maximum, and minimum values of each LV functional parameter [EDV/ESV/SV/EF/CO/CI/LVM/heart rate (HR)] from 4~5 consecutive heartbeats were measured using CSRT2CH_AL in patients with AF. Results In patients with NSR, measurements of EDV (p > 0.05), ESV (p > 0.05), SV (p > 0.05), EF (p > 0.05), and LVM (p > 0.05) assessed with CSRT2CH_AL did not differ significantly from those obtained with SegSA_Simpson. In patients with AF, CSRT image quality score (p < 0.001) and edge sharpness (p < 0.001) both were significantly higher than those obtained from segmented cine. The CSRT2CH_AL provided significantly different results among mean, maximum, and minimum values of each LV parameter from 4~5 consecutive heartbeats (all p < 0.001) with strong inter- and intra-observer agreement in AF. Conclusions The CSRT cine sequence combined with two chamber area-length analysis accurately assessed LV systolic function in NSR. This approach is expected to permit the assessment of multiple parameters in consecutive heartbeats with good inter- and intra-observer reproducibility for beat-to-beat analysis of LV function in AF.
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Affiliation(s)
- Gang Yin
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Chen Cui
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Jing An
- Siemens Shenzhen Magnetic Resonance Ltd., Siemens MRI Center, Shenzhen, China
| | - Kankan Zhao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, SZ University Town, Shenzhen, China
| | - Kai Yang
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Shuang Li
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Xinling Yang
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Jiaxin Wang
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Zhixiang Dong
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Shiqin Yu
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Jian He
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Xiuyu Chen
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Minjie Lu
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
| | - Shihua Zhao
- MR Center, Stata Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, Beijing, China
- *Correspondence: Shihua Zhao
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ACR Appropriateness Criteria® Dyspnea-Suspected Cardiac Origin (Ischemia Already Excluded): 2021 Update. J Am Coll Radiol 2022; 19:S37-S52. [PMID: 35550804 DOI: 10.1016/j.jacr.2022.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 02/19/2022] [Indexed: 11/20/2022]
Abstract
Dyspnea is the symptom of perceived breathing discomfort and is commonly encountered in a variety of clinical settings. Cardiac etiologies of dyspnea are an important consideration; among these, valvular heart disease (Variant 1), arrhythmia (Variant 2), and pericardial disease (Variant 3) are reviewed in this document. Imaging plays an important role in the clinical assessment of these suspected abnormalities, with usually appropriate procedures including resting transthoracic echocardiography in all three variants, radiography for Variants 1 and 3, MRI heart function and morphology in Variants 2 and 3, and CT heart function and morphology with intravenous contrast for Variant 3. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Sci Rep 2022; 12:5611. [PMID: 35379859 PMCID: PMC8979972 DOI: 10.1038/s41598-022-09366-8] [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: 10/25/2021] [Accepted: 03/10/2022] [Indexed: 11/09/2022] Open
Abstract
Exercise cardiovascular magnetic resonance (CMR) can unmask cardiac pathology not evident at rest. Real-time CMR in free breathing can be used, but respiratory motion may compromise quantification of left ventricular (LV) function. We aimed to develop and validate a post-processing algorithm that semi-automatically sorts real-time CMR images according to breathing to facilitate quantification of LV function in free breathing exercise. A semi-automatic algorithm utilizing manifold learning (Laplacian Eigenmaps) was developed for respiratory sorting. Feasibility was tested in eight healthy volunteers and eight patients who underwent ECG-gated and real-time CMR at rest. Additionally, volunteers performed exercise CMR at 60% of maximum heart rate. The algorithm was validated for exercise by comparing LV mass during exercise to rest. Respiratory sorting to end expiration and end inspiration (processing time 20 to 40 min) succeeded in all research participants. Bias ± SD for LV mass was 0 ± 5 g when comparing real-time CMR at rest, and 0 ± 7 g when comparing real-time CMR during exercise to ECG-gated at rest. This study presents a semi-automatic algorithm to retrospectively perform respiratory sorting in free breathing real-time CMR. This can facilitate implementation of exercise CMR with non-ECG-gated free breathing real-time imaging, without any additional physiological input.
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Contijoch F, Han Y, Kamesh Iyer S, Kellman P, Gualtieri G, Elliott MA, Berisha S, Gorman JH, Gorman RC, Pilla JJ, Witschey WRT. Closed-loop control of k-space sampling via physiologic feedback for cine MRI. PLoS One 2020; 15:e0244286. [PMID: 33373391 PMCID: PMC7771662 DOI: 10.1371/journal.pone.0244286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 12/08/2020] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Segmented cine cardiac MRI combines data from multiple heartbeats to achieve high spatiotemporal resolution cardiac images, yet predefined k-space segmentation trajectories can lead to suboptimal k-space sampling. In this work, we developed and evaluated an autonomous and closed-loop control system for radial k-space sampling (ARKS) to increase sampling uniformity. METHODS The closed-loop system autonomously selects radial k-space sampling trajectory during live segmented cine MRI and attempts to optimize angular sampling uniformity by selecting views in regions of k-space that were not previously well-sampled. Sampling uniformity and the ability to detect cardiac phase in vivo was assessed using ECG data acquired from 10 normal subjects in an MRI scanner. The approach was then implemented with a fast gradient echo sequence on a whole-body clinical MRI scanner and imaging was performed in 4 healthy volunteers. The closed-loop k-space trajectory was compared to random, uniformly distributed and golden angle view trajectories via measurement of k-space uniformity and the point spread function. Lastly, an arrhythmic dataset was used to evaluate a potential application of the approach. RESULTS The autonomous trajectory increased k-space sampling uniformity by 15±7%, main lobe point spread function (PSF) signal intensity by 6±4%, and reduced ringing relative to golden angle sampling. When implemented, the autonomous pulse sequence prescribed radial view angles faster than the scan TR (0.98 ± 0.01 ms, maximum = 1.38 ms) and increased k-space sampling mean uniformity by 10±11%, decreased uniformity variability by 44±12%, and increased PSF signal ratio by 6±6% relative to golden angle sampling. CONCLUSION The closed-loop approach enables near-uniform radial sampling in a segmented acquisition approach which was higher than predetermined golden-angle radial sampling. This can be utilized to increase the sampling or decrease the temporal footprint of an acquisition and the closed-loop framework has the potential to be applied to patients with complex heart rhythms.
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Affiliation(s)
- Francisco Contijoch
- Department of Bioengineering, Jacobs School of Engineering, University of California, San Diego, CA, United States of America
- Department of Radiology, School of Medicine, University of California, San Diego, CA, United States of America
| | - Yuchi Han
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Srikant Kamesh Iyer
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Peter Kellman
- National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States of America
| | | | - Mark A. Elliott
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Sebastian Berisha
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Joseph H. Gorman
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Robert C. Gorman
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - James J. Pilla
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Walter R. T. Witschey
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
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Parivash SN, Goubran M, Mills BD, Rezaii P, Thaler C, Wolman D, Bian W, Mitchell LA, Boldt B, Douglas D, Wilson EW, Choi J, Xie L, Yushkevich PA, DiGiacomo P, Wongsripuemtet J, Parekh M, Fiehler J, Do H, Lopez J, Rosenberg J, Camarillo D, Grant G, Wintermark M, Zeineh M. Longitudinal Changes in Hippocampal Subfield Volume Associated with Collegiate Football. J Neurotrauma 2019; 36:2762-2773. [PMID: 31044639 PMCID: PMC7872005 DOI: 10.1089/neu.2018.6357] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Collegiate football athletes are subject to repeated traumatic brain injuriesthat may cause brain injury. The hippocampus is composed of several distinct subfields with possible differential susceptibility to injury. The aim of this study is to determine whether there are longitudinal changes in hippocampal subfield volume in collegiate football. A prospective cohort study was conducted over a 5-year period tracking 63 football and 34 volleyball male collegiate athletes. Athletes underwent high-resolution structural magnetic resonance imaging, and automated segmentation provided hippocampal subfield volumes. At baseline, football (n = 59) athletes demonstrated a smaller subiculum volume than volleyball (n = 32) athletes (-67.77 mm3; p = 0.012). A regression analysis performed within football athletes similarly demonstrated a smaller subiculum volume among those at increased concussion risk based on athlete position (p = 0.001). For the longitudinal analysis, a linear mixed-effects model assessed the interaction between sport and time, revealing a significant decrease in cornu ammonis area 1 (CA1) volume in football (n = 36) athletes without an in-study concussion compared to volleyball (n = 23) athletes (volume difference per year = -35.22 mm3; p = 0.005). This decrease in CA1 volume over time was significant when football athletes were examined in isolation from volleyball athletes (p = 0.011). Thus, this prospective, longitudinal study showed a decrease in CA1 volume over time in football athletes, in addition to baseline differences that were identified in the downstream subiculum. Hippocampal changes may be important to study in high-contact sports.
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Affiliation(s)
| | - Maged Goubran
- Department of Radiology, Stanford University, Stanford, California
| | - Brian D. Mills
- Department of Radiology, Stanford University, Stanford, California
| | - Paymon Rezaii
- Department of Neurosurgery, Stanford University, Stanford, California
| | - Christian Thaler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dylan Wolman
- Department of Radiology, Stanford University, Stanford, California
| | - Wei Bian
- Department of Radiology, Stanford University, Stanford, California
| | - Lex A. Mitchell
- Department of Radiology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Radiology, Tripler Army Medical Center, Honolulu, Hawaii
| | - Brian Boldt
- Department of Radiology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Radiology, Madigan Army Medical Center, Tacoma, Washington
| | - David Douglas
- Department of Radiology, Stanford University, Stanford, California
| | - Eugene W. Wilson
- Department of Radiology, Stanford University, Stanford, California
| | - Jay Choi
- Department of Radiology, Stanford University, Stanford, California
| | - Long Xie
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Paul A. Yushkevich
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Phil DiGiacomo
- Department of Radiology, Stanford University, Stanford, California
| | | | - Mansi Parekh
- Department of Radiology, Stanford University, Stanford, California
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Huy Do
- Department of Radiology, Stanford University, Stanford, California
| | - Jaime Lopez
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California
| | | | - David Camarillo
- Department of Bioengineering, Stanford University, Stanford, California
| | - Gerald Grant
- Department of Neurosurgery, Stanford University, Stanford, California
| | - Max Wintermark
- Department of Radiology, Stanford University, Stanford, California
| | - Michael Zeineh
- Department of Radiology, Stanford University, Stanford, California
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Meyer GMB, Spilimbergo FB, Altmayer S, Pacini GS, Zanon M, Watte G, Marchiori E, Hochhegger B. Multiparametric Magnetic Resonance Imaging in the Assessment of Pulmonary Hypertension: Initial Experience of a One-Stop Study. Lung 2018; 196:165-171. [PMID: 29435739 DOI: 10.1007/s00408-018-0097-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 02/05/2018] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Our goal was to assess the diagnostic performance of magnetic resonance imaging (MRI) as a single method to diagnose pulmonary hypertension (PH) compared to right heart catheterization (RHC), computed tomography (CT), and ventilation/perfusion (V/Q) scintigraphy. METHODS We identified 35 patients diagnosed with PH by RHC in our institution who have also undergone a CT, a scintigraphy, and an MRI within a month. All cases were discussed in multidisciplinary meetings. We performed correlations between the MRI-derived hemodynamic parameters and those from RHC. The sensitivity and specificity of MRI were determined to identify its diagnostic performance to identify chronic thromboembolic pulmonary hypertension (CTEPH) and interstitial lung disease PH. The gold standard reference for the diagnosis of CTEPH and ILD was based on a review of multimodality imaging (V/Q scintigraphy and CT scan) and clinical findings. RESULTS Our results showed a good correlation between the hemodynamic parameters of cardiac MRI and RHC. Pulmonary vascular resistance had the best correlation between both methods (r = 0.923). The sensitivity and specificity of MRI to diagnose CTEPH was 100 and 96.8%, respectively. For the ILD-related PH, the MRI yielded a sensitivity of 60.0% and a specificity of 100%. Additionally, cardiac MRI was able to confirm all cases of PAH due to congenital heart disease initially detected by echocardiography. CONCLUSIONS MRI represents a promising imaging modality as an initial, single-shot study, for patients with suspected PH with the advantages of being non-invasive and having no radiation exposure.
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Affiliation(s)
- Gisela M B Meyer
- Pulmonary Hypertension Group, Santa Casa de Porto Alegre, Av. Independência, 75, Porto Alegre, Rio Grande Do Sul, 90020-160, Brazil
| | - Fernanda B Spilimbergo
- Pulmonary Hypertension Group, Santa Casa de Porto Alegre, Av. Independência, 75, Porto Alegre, Rio Grande Do Sul, 90020-160, Brazil
| | - Stephan Altmayer
- Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil
- LABIMED - Medical Imaging Research Lab, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 75, Porto Alegre, 90020-160, Brazil
| | - Gabriel S Pacini
- Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil.
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil.
- LABIMED - Medical Imaging Research Lab, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 75, Porto Alegre, 90020-160, Brazil.
| | - Matheus Zanon
- Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil
- LABIMED - Medical Imaging Research Lab, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 75, Porto Alegre, 90020-160, Brazil
| | - Guilherme Watte
- Department of Respiratory Medicine and Thoracic Surgery, Irmandade da Santa Casa de Misericordia de Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, 90050-170, Brazil
- LABIMED - Medical Imaging Research Lab, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 75, Porto Alegre, 90020-160, Brazil
| | - Edson Marchiori
- Federal University of Rio de Janeiro, Av. Carlos Chagas Filho, 373, Rio De Janeiro, 21941-902, Brazil
| | - Bruno Hochhegger
- Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil
- LABIMED - Medical Imaging Research Lab, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 75, Porto Alegre, 90020-160, Brazil
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Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease. J Cardiovasc Transl Res 2018; 11:123-132. [PMID: 29294215 DOI: 10.1007/s12265-017-9778-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 12/18/2017] [Indexed: 12/18/2022]
Abstract
Approximately 1% of all babies are born with some form of congenital heart defect. Many serious forms of CHD can now be surgically corrected after birth, which has led to improved survival into adulthood. However, many patients require serial monitoring to evaluate progression of heart failure and determine timing of interventions. Accurate multidimensional quantification of regional heart shape and function is required for characterizing these patients. A computational atlas of single ventricle and biventricular heart shape and function enables quantification of remodeling in terms of z scores in relation to specific reference populations. Progression of disease can then be monitored effectively by longitudinal evaluation of z scores. A biomechanical analysis of cardiac function in relation to population variation enables investigation of the underlying mechanisms for developing pathology. Here, we summarize recent progress in this field, with examples in single ventricle and biventricular congenital pathologies.
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Manning WJ. Review of Journal of Cardiovascular Magnetic Resonance (JCMR) 2015-2016 and transition of the JCMR office to Boston. J Cardiovasc Magn Reson 2017; 19:108. [PMID: 29284487 PMCID: PMC5747150 DOI: 10.1186/s12968-017-0423-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 12/07/2017] [Indexed: 02/06/2023] Open
Abstract
The Journal of Cardiovascular Magnetic Resonance (JCMR) is the official publication of the Society for Cardiovascular Magnetic Resonance (SCMR). In 2016, the JCMR published 93 manuscripts, including 80 research papers, 6 reviews, 5 technical notes, 1 protocol, and 1 case report. The number of manuscripts published was similar to 2015 though with a 12% increase in manuscript submissions to an all-time high of 369. This reflects a decrease in the overall acceptance rate to <25% (excluding solicited reviews). The quality of submissions to JCMR continues to be high. The 2016 JCMR Impact Factor (which is published in June 2016 by Thomson Reuters) was steady at 5.601 (vs. 5.71 for 2015; as published in June 2016), which is the second highest impact factor ever recorded for JCMR. The 2016 impact factor means that the JCMR papers that were published in 2014 and 2015 were on-average cited 5.71 times in 2016.In accordance with Open-Access publishing of Biomed Central, the JCMR articles are published on-line in the order that they are accepted with no collating of the articles into sections or special thematic issues. For this reason, over the years, the Editors have felt that it is useful to annually summarize the publications into broad areas of interest or themes, so that readers can view areas of interest in a single article in relation to each other and other recent JCMR articles. The papers are presented in broad themes with previously published JCMR papers to guide continuity of thought in the journal. In addition, I have elected to open this publication with information for the readership regarding the transition of the JCMR editorial office to the Beth Israel Deaconess Medical Center, Boston and the editorial process.Though there is an author publication charge (APC) associated with open-access to cover the publisher's expenses, this format provides a much wider distribution/availability of the author's work and greater manuscript citation. For SCMR members, there is a substantial discount in the APC. I hope that you will continue to send your high quality manuscripts to JCMR for consideration. Importantly, I also ask that you consider referencing recent JCMR publications in your submissions to the JCMR and elsewhere as these contribute to our impact factor. I also thank our dedicated Associate Editors, Guest Editors, and reviewers for their many efforts to ensure that the review process occurs in a timely and responsible manner and that the JCMR continues to be recognized as the leading publication in our field.
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Affiliation(s)
- Warren J Manning
- From the Journal of Cardiovascular Magnetic Resonance Editorial Office and the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
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Campbell-Washburn AE, Tavallaei MA, Pop M, Grant EK, Chubb H, Rhode K, Wright GA. Real-time MRI guidance of cardiac interventions. J Magn Reson Imaging 2017; 46:935-950. [PMID: 28493526 PMCID: PMC5675556 DOI: 10.1002/jmri.25749] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 03/29/2017] [Indexed: 11/09/2022] Open
Abstract
Cardiac magnetic resonance imaging (MRI) is appealing to guide complex cardiac procedures because it is ionizing radiation-free and offers flexible soft-tissue contrast. Interventional cardiac MR promises to improve existing procedures and enable new ones for complex arrhythmias, as well as congenital and structural heart disease. Guiding invasive procedures demands faster image acquisition, reconstruction and analysis, as well as intuitive intraprocedural display of imaging data. Standard cardiac MR techniques such as 3D anatomical imaging, cardiac function and flow, parameter mapping, and late-gadolinium enhancement can be used to gather valuable clinical data at various procedural stages. Rapid intraprocedural image analysis can extract and highlight critical information about interventional targets and outcomes. In some cases, real-time interactive imaging is used to provide a continuous stream of images displayed to interventionalists for dynamic device navigation. Alternatively, devices are navigated relative to a roadmap of major cardiac structures generated through fast segmentation and registration. Interventional devices can be visualized and tracked throughout a procedure with specialized imaging methods. In a clinical setting, advanced imaging must be integrated with other clinical tools and patient data. In order to perform these complex procedures, interventional cardiac MR relies on customized equipment, such as interactive imaging environments, in-room image display, audio communication, hemodynamic monitoring and recording systems, and electroanatomical mapping and ablation systems. Operating in this sophisticated environment requires coordination and planning. This review provides an overview of the imaging technology used in MRI-guided cardiac interventions. Specifically, this review outlines clinical targets, standard image acquisition and analysis tools, and the integration of these tools into clinical workflow. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2017;46:935-950.
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Affiliation(s)
- Adrienne E Campbell-Washburn
- Laboratory of Imaging Technology, Biochemistry and Biophysics Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Mohammad A Tavallaei
- Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Mihaela Pop
- Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Elena K Grant
- Laboratory of Imaging Technology, Biochemistry and Biophysics Center, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
- Department of Cardiology, Children's National Medical Center, Washington, DC, USA
| | - Henry Chubb
- Division of Imaging Sciences and Biomedical Engineering, King's College London, UK
| | - Kawal Rhode
- Division of Imaging Sciences and Biomedical Engineering, King's College London, UK
| | - Graham A Wright
- Physical Sciences Platform and Schulich Heart Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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11
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Wu Y, Wan Q, Zhao J, Liu X, Zheng H, Chung YC, Chen Y. Improved workflow for quantifying left ventricular function via cardiorespiratory-resolved analysis of free-breathing MR real-time cines. J Magn Reson Imaging 2017; 46:905-914. [PMID: 28130855 DOI: 10.1002/jmri.25618] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Accepted: 12/15/2016] [Indexed: 02/05/2023] Open
Affiliation(s)
- Yin Wu
- Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology; Chinese Academy of Sciences; Shenzhen Guangdong P.R. China
| | - Qian Wan
- Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology; Chinese Academy of Sciences; Shenzhen Guangdong P.R. China
| | - Jing Zhao
- Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology; Chinese Academy of Sciences; Shenzhen Guangdong P.R. China
| | - Xin Liu
- Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology; Chinese Academy of Sciences; Shenzhen Guangdong P.R. China
| | - Hairong Zheng
- Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology; Chinese Academy of Sciences; Shenzhen Guangdong P.R. China
| | - Yiu-Cho Chung
- Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology; Chinese Academy of Sciences; Shenzhen Guangdong P.R. China
| | - Yucheng Chen
- Cardiology Division, West China Hospital; Sichuan University; Chengdu Sichuan P.R. China
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Pennell DJ, Baksi AJ, Prasad SK, Mohiaddin RH, Alpendurada F, Babu-Narayan SV, Schneider JE, Firmin DN. Review of Journal of Cardiovascular Magnetic Resonance 2015. J Cardiovasc Magn Reson 2016; 18:86. [PMID: 27846914 PMCID: PMC5111217 DOI: 10.1186/s12968-016-0305-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Accepted: 11/02/2016] [Indexed: 12/14/2022] Open
Abstract
There were 116 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2015, which is a 14 % increase on the 102 articles published in 2014. The quality of the submissions continues to increase. The 2015 JCMR Impact Factor (which is published in June 2016) rose to 5.75 from 4.72 for 2014 (as published in June 2015), which is the highest impact factor ever recorded for JCMR. The 2015 impact factor means that the JCMR papers that were published in 2013 and 2014 were cited on average 5.75 times in 2015. The impact factor undergoes natural variation according to citation rates of papers in the 2 years following publication, and is significantly influenced by highly cited papers such as official reports. However, the progress of the journal's impact over the last 5 years has been impressive. Our acceptance rate is <25 % and has been falling because the number of articles being submitted has been increasing. In accordance with Open-Access publishing, the JCMR articles go on-line as they are accepted with no collating of the articles into sections or special thematic issues. For this reason, the Editors have felt that it is useful once per calendar year to summarize the papers for the readership into broad areas of interest or theme, so that areas of interest can be reviewed in a single article in relation to each other and other recent JCMR articles. The papers are presented in broad themes and set in context with related literature and previously published JCMR papers to guide continuity of thought in the journal. We hope that you find the open-access system increases wider reading and citation of your papers, and that you will continue to send your quality papers to JCMR for publication.
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Affiliation(s)
- D. J. Pennell
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
| | - A. J. Baksi
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
| | - S. K. Prasad
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
| | - R. H. Mohiaddin
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
| | - F. Alpendurada
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
| | - S. V. Babu-Narayan
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
| | - J. E. Schneider
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
| | - D. N. Firmin
- Cardiovascular Magnetic Resonance Unit, Royal Brompton & Harefield NHS Foundation Trust, Sydney Street, London, SW 3 6NP UK
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13
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Contijoch F, Iyer SK, Pilla JJ, Yushkevich P, Gorman JH, Gorman RC, Litt H, Han Y, Witschey WRT. Self-gated MRI of multiple beat morphologies in the presence of arrhythmias. Magn Reson Med 2016; 78:678-688. [PMID: 27579717 DOI: 10.1002/mrm.26381] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 07/01/2016] [Accepted: 07/22/2016] [Indexed: 01/17/2023]
Abstract
PURPOSE Develop self-gated MRI for distinct heartbeat morphologies in subjects with arrhythmias. METHODS Golden angle radial data was obtained in seven sinus and eight arrhythmias subjects. An image-based cardiac navigator was derived from single-shot images, distinct beat types were identified, and images were reconstructed for repeated morphologies. Image sharpness, contrast, and volume variation were quantified and compared with self-gated MRI. Images were scored for image quality and artifacts. Hemodynamic parameters were computed for each distinct beat morphology in bigeminy and trigeminy subjects and for sinus beats in patients with infrequent premature ventricular contractions. RESULTS Images of distinct beat types were reconstructed except for two patients with infrequent premature ventricular contractions. Image contrast and sharpness were similar to sinus self-gated images (contrast = 0.45 ± 0.13 and 0.43 ± 0.15; sharpness = 0.21 ± 0.11 and 0.20 ± 0.05). Visual scoring was highest in self-gated images (4.1 ± 0.3) compared with real-time (3.9 ± 0.4) and ECG-gated cine (3.4 ± 1.5). ECG-gated cine had less artifacts than self-gating (2.3 ± 0.7 and 2.1 ± 0.2), but was affected by misgating in two subjects. Among arrhythmia subjects, post-extrasystole/sinus (58.1 ± 8.6 mL) and interrupted sinus (61.4 ± 5.9 mL) stroke volume was higher than extrasystole (32.0 ± 16.5 mL; P < 0.02). CONCLUSION Self-gated imaging can reconstruct images during ectopy and allowed for quantification of hemodynamic function of different beat morphologies. Magn Reson Med 78:678-688, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Francisco Contijoch
- School of Medicine, University of California - San Diego, San Diego, California, USA
| | - Srikant Kamesh Iyer
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - James J Pilla
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Paul Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Joseph H Gorman
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert C Gorman
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Harold Litt
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yuchi Han
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Walter R T Witschey
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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14
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Contijoch F, Rogers K, Rears H, Shahid M, Kellman P, Gorman J, Gorman RC, Yushkevich P, Zado ES, Supple GE, Marchlinski FE, Witschey WRT, Han Y. Quantification of Left Ventricular Function With Premature Ventricular Complexes Reveals Variable Hemodynamics. Circ Arrhythm Electrophysiol 2016; 9:e003520. [PMID: 27009416 PMCID: PMC4807630 DOI: 10.1161/circep.115.003520] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 02/19/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Premature ventricular complexes (PVCs) are prevalent in the general population and are sometimes associated with reduced ventricular function. Current echocardiographic and cardiovascular magnetic resonance imaging techniques do not adequately address the effect of PVCs on left ventricular function. METHODS AND RESULTS Fifteen subjects with a history of frequent PVCs undergoing cardiovascular magnetic resonance imaging had real-time slice volume quantification performed using a 2-dimensional (2D) real-time cardiovascular magnetic resonance imaging technique. Synchronization of 2D real-time imaging with patient ECG allowed for different beats to be categorized by the loading beat RR duration and beat RR duration. For each beat type, global volumes were quantified via summation over all slices covering the entire ventricle. Different patterns of ectopy, including isolated PVCs, bigeminy, trigeminy, and interpolated PVCs, were observed. Global functional measurement of the different beat types based on timing demonstrated differences in preload, stroke volume, and ejection fraction. An average of hemodynamic function was quantified for each subject depending on the frequency of each observed beat type. CONCLUSIONS Application of real-time cardiovascular magnetic resonance imaging in patients with PVCs revealed differential contribution of PVCs to hemodynamics.
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Affiliation(s)
- Francisco Contijoch
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.).
| | - Kelly Rogers
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Hannah Rears
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Mohammed Shahid
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Peter Kellman
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Joseph Gorman
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Robert C Gorman
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Paul Yushkevich
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Erica S Zado
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Gregory E Supple
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Francis E Marchlinski
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Walter R T Witschey
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
| | - Yuchi Han
- From the Department of Bioengineering (F.C.), Cardiovascular Division, Department of Medicine (K.R., E.S.Z., G.E.S., F.E.M., Y.H.), Department of Radiology (H.R., M.S., P.Y., W.R.T.W.), and Department of Surgery (J.G., R.C.G.), University of Pennsylvania, Philadelphia; and Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (P.K.)
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Contijoch F, Witschey WRT, Rogers K, Gorman J, Gorman RC, Ferrari V, Han Y. Impact of end-diastolic and end-systolic phase selection in the volumetric evaluation of cardiac MRI. J Magn Reson Imaging 2015; 43:585-93. [PMID: 26331591 DOI: 10.1002/jmri.25038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Revised: 08/13/2015] [Accepted: 08/17/2015] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To evaluate the impact of end-diastolic (ED) and end-systolic (ES) cardiac phase selection methods, since task force recommendations have neither provided quantitative evidence nor explored errors introduced by clinical shortcuts. MATERIALS AND METHODS Multislice, short-axis cine images were collected in 60 clinical patients on a 1.5T scanner. User-initialized active contour segmentation software quantified global left ventricular (LV) volume across all cardiac phases. Different approaches for selection of ED and ES phase were evaluated by quantification of temporal and volumetric errors. RESULTS For diastole, the mid-ventricular maximum slice volume coincided with maximum global volume in 82.1% of patients with ejection fraction (EF) ≥55% (P = 0.66) and 71.9% of patients with EF <55% (P = 0.28) and is an accurate approximation of maximum global volume while the first and last phases in a retrospectively electrocardiogram (ECG)-gated acquisition introduced differences in cardiac phase selection (P < 0.001) which led to large errors in measured volume in some patients (12.7 and 10.1 mL, respectively). For systole, post-systolic shortening occurred in a significantly higher number of patients with EF <55% (18.9%) compared to 3.6% of patients with EF ≥55% (P = 0.001), which differentially impacted end-systolic volume estimation. CONCLUSION For end-diastolic phase selection, our results indicated that the use of the mid-ventricular slice volume maximum provided accurate volume estimates, while selection of the first or last cardiac phase introduced differences in measured volume. For end-systolic phase, patients with EF <55% had a higher prevalence of post-systolic shortening, which suggests aortic valve closure should be used to estimate end-systolic volume.
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Affiliation(s)
- Francisco Contijoch
- Department of Bioengineering, University of Pennsylvania, PA, Pennsylvania, USA
| | - Walter R T Witschey
- Hospital of the University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania, USA
| | - Kelly Rogers
- Department of Bioengineering, University of Pennsylvania, PA, Pennsylvania, USA
| | - Joseph Gorman
- Hospital of the University of Pennsylvania, Department of Surgery, Philadelphia, Pennsylvania, USA
| | - Robert C Gorman
- Hospital of the University of Pennsylvania, Department of Surgery, Philadelphia, Pennsylvania, USA
| | - Victor Ferrari
- Hospital of the University of Pennsylvania, Cardiovascular Division, Philadelphia, Pennsylvania, USA
| | - Yuchi Han
- Hospital of the University of Pennsylvania, Cardiovascular Division, Philadelphia, Pennsylvania, USA
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