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Yu J, Taskén AA, Berg EAR, Tannvik TD, Slagsvold KH, Kirkeby-Garstad I, Grenne B, Kiss G, Aakhus S. Continuous monitoring of left ventricular function in postoperative intensive care patients using artificial intelligence and transesophageal echocardiography. Intensive Care Med Exp 2024; 12:54. [PMID: 38856861 PMCID: PMC11164841 DOI: 10.1186/s40635-024-00640-9] [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: 04/09/2024] [Accepted: 06/04/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Continuous monitoring of mitral annular plane systolic excursion (MAPSE) using transesophageal echocardiography (TEE) may improve the evaluation of left ventricular (LV) function in postoperative intensive care patients. We aimed to assess the utility of continuous monitoring of LV function using TEE and artificial intelligence (autoMAPSE) in postoperative intensive care patients. METHODS In this prospective observational study, we monitored 50 postoperative intensive care patients for 120 min immediately after cardiac surgery. We recorded a set of two-chamber and four-chamber TEE images every five minutes. We defined monitoring feasibility as how often the same wall from the same patient could be reassessed, and categorized monitoring feasibility as excellent if the same LV wall could be reassessed in ≥ 90% of the total recordings. To compare autoMAPSE with manual measurements, we rapidly recorded three sets of repeated images to assess precision (least significant change), bias, and limits of agreement (LOA). To assess the ability to identify changes (trending ability), we compared changes in autoMAPSE with the changes in manual measurements in images obtained during the initiation of cardiopulmonary bypass as well as before and after surgery. RESULTS Monitoring feasibility was excellent in most patients (88%). Compared with manual measurements, autoMAPSE was more precise (least significant change 2.2 vs 3.1 mm, P < 0.001), had low bias (0.4 mm), and acceptable agreement (LOA - 2.7 to 3.5 mm). AutoMAPSE had excellent trending ability, as its measurements changed in the same direction as manual measurements (concordance rate 96%). CONCLUSION Continuous monitoring of LV function was feasible using autoMAPSE. Compared with manual measurements, autoMAPSE had excellent trending ability, low bias, acceptable agreement, and was more precise.
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Affiliation(s)
- Jinyang Yu
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway.
- Clinic of Cardiology St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
| | - Anders Austlid Taskén
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Erik Andreas Rye Berg
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
- Clinic of Cardiology St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Tomas Dybos Tannvik
- Department of Anesthesia and Intensive Care, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Katrine Hordnes Slagsvold
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
- Clinic of Cardiothoracic Surgery, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Idar Kirkeby-Garstad
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
| | - Bjørnar Grenne
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
- Clinic of Cardiology St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
- Centre of Innovative Ultrasound Solutions, Trondheim, Norway
| | - Gabriel Kiss
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Svend Aakhus
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
- Clinic of Cardiology St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
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Yu J, Taskén AA, Flade HM, Skogvoll E, Berg EAR, Grenne B, Rimehaug A, Kirkeby-Garstad I, Kiss G, Aakhus S. Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography. J Clin Monit Comput 2024; 38:281-291. [PMID: 38280975 DOI: 10.1007/s10877-023-01118-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 12/03/2023] [Indexed: 01/29/2024]
Abstract
We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to evaluate autoMAPSE as an automatic tool for rapid and quantitative assessment of LV function in critical care patients. In this retrospective study, we studied 40 critical care patients immediately after cardiac surgery. First, we recorded a set of echocardiographic data, consisting of three consecutive beats of midesophageal two- and four-chamber views. We then altered the patient's hemodynamics by positioning them in anti-Trendelenburg and repeated the recordings. We measured MAPSE manually and used autoMAPSE in all available heartbeats and in four LV walls. To assess the agreement with manual measurements, we used a modified Bland-Altman analysis. To assess the precision of each method, we calculated the least significant change (LSC). Finally, to assess trending ability, we calculated the concordance rates using a four-quadrant plot. We found that autoMAPSE measured MAPSE in almost every set of two- and four-chamber views (feasibility 95%). It took less than a second to measure and average MAPSE over three heartbeats. AutoMAPSE had a low bias (0.4 mm) and acceptable limits of agreement (- 3.7 to 4.5 mm). AutoMAPSE was more precise than manual measurements if it averaged more heartbeats. AutoMAPSE had acceptable trending ability (concordance rate 81%) during hemodynamic alterations. In conclusion, autoMAPSE is feasible as an automatic tool for rapid and quantitative assessment of LV function, indicating its potential for hemodynamic monitoring.
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Affiliation(s)
- Jinyang Yu
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
- Clinic of Cardiology St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
| | - Anders Austlid Taskén
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Hans Martin Flade
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Anesthesia and Intensive Care, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Eirik Skogvoll
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Anesthesia and Intensive Care, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Erik Andreas Rye Berg
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Cardiology St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bjørnar Grenne
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Cardiology St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Audun Rimehaug
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Anesthesia and Intensive Care, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Idar Kirkeby-Garstad
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gabriel Kiss
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Svend Aakhus
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Cardiology St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Hegeman RRMJJ, McManus S, Tóth A, Ladeiras-Lopes R, Kitslaar P, Bui V, Dukker K, Harb SC, Swaans MJ, Ben-Yehuda O, Klein P, Puri R. Reference Values for Inward Displacement in the Normal Left Ventricle: A Novel Method of Regional Left Ventricular Function Assessment. J Cardiovasc Dev Dis 2023; 10:474. [PMID: 38132642 PMCID: PMC10744219 DOI: 10.3390/jcdd10120474] [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: 10/19/2023] [Revised: 11/11/2023] [Accepted: 11/16/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Regional functional left ventricular (LV) assessment using current imaging techniques remains limited. Inward displacement (InD) has been developed as a novel technique to assess regional LV function via measurement of the regional displacement of the LV endocardial border across each of the 17 LV segments. Currently, normal ranges for InD are not available for clinical use. The aim of this study was to validate the normal reference limits of InD in healthy adults across all LV segments. METHODS InD was analyzed in 120 healthy subjects with a normal LV ejection fraction, using the three standard long-axis views obtained during cardiac MRI that quantified the degree of inward endocardial wall motion towards the true LV center of contraction. For all LV segments, InD was measured in mm and expressed as a percentage of the theoretical degree of maximal segment contraction towards the true LV centerline. The arithmetic average InD was obtained for each of the 17 segments. The LV was divided into three regions, obtaining average InD at the LV base (segments 1-6), mid-cavity (segments 7-12) and apex (segments 13-17). RESULTS Average InD was 33.4 ± 4.3%. InD was higher in basal and mid-cavity LV segments (32.8 ± 4.1% and 38.1 ± 5.8%) compared to apical LV segments (28.6 ± 7.7%). Interobserver variability correlations for InD were strong (R = 0.80, p < 0.0001). CONCLUSIONS We provide clinically meaningful reference ranges for InD in subjects with normal LV function, which will emerge as an important screening and assessment imaging tool for a range of HFrEF therapies.
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Affiliation(s)
- Romy R. M. J. J. Hegeman
- Department of Cardiothoracic Surgery, Sint Antonius Hospital, 3435 CM Nieuwegein, The Netherlands
- Department of Cardiothoracic Surgery, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands
| | | | - Attila Tóth
- Department of Radiology, Gottsegen György Hungarian Institute of Cardiology & Semmelweis University, 1096 Budapest, Hungary
| | - Ricardo Ladeiras-Lopes
- Department of Cardiology, Gaia/Espinho Hospital Centre, Rua Conceicao Fernandes, 4434-502 Vila Nova de Gaia, Portugal
| | - Pieter Kitslaar
- Medis Medical Imaging Systems, 2316 XG Leiden, The Netherlands
| | - Viet Bui
- Medis Medical Imaging Systems, 2316 XG Leiden, The Netherlands
| | - Kayleigh Dukker
- Medis Medical Imaging Systems, 2316 XG Leiden, The Netherlands
| | - Serge C. Harb
- Department of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH 44195, USA (R.P.)
| | - Martin J. Swaans
- Department of Cardiology, Sint Antonius Hospital, 3435 CM Nieuwegein, The Netherlands
| | - Ori Ben-Yehuda
- Bioventrix Inc., Mansfield, MA 02048, USA
- Sulpizio Cardiovascular Center, University of California San Diego, La Jolla, CA 92037, USA
| | - Patrick Klein
- Department of Cardiothoracic Surgery, Sint Antonius Hospital, 3435 CM Nieuwegein, The Netherlands
- Department of Cardiothoracic Surgery, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands
| | - Rishi Puri
- Department of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH 44195, USA (R.P.)
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Berg EAR, Taskén AA, Nordal T, Grenne B, Espeland T, Kirkeby-Garstad I, Dalen H, Holte E, Stølen S, Aakhus S, Kiss G. Fully automatic estimation of global left ventricular systolic function using deep learning in transoesophageal echocardiography. EUROPEAN HEART JOURNAL. IMAGING METHODS AND PRACTICE 2023; 1:qyad007. [PMID: 39044786 PMCID: PMC11195714 DOI: 10.1093/ehjimp/qyad007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/19/2023] [Indexed: 07/25/2024]
Abstract
Aims To improve monitoring of cardiac function during major surgery and intensive care, we have developed a method for fully automatic estimation of mitral annular plane systolic excursion (auto-MAPSE) using deep learning in transoesophageal echocardiography (TOE). The aim of this study was a clinical validation of auto-MAPSE in patients with heart disease. Methods and results TOE recordings were collected from 185 consecutive patients without selection on image quality. Deep-learning-based auto-MAPSE was trained and optimized from 105 patient recordings. We assessed auto-MAPSE feasibility, and agreement and inter-rater reliability with manual reference in 80 patients with and without electrocardiogram (ECG) tracings. Mean processing time for auto-MAPSE was 0.3 s per cardiac cycle/view. Overall feasibility was >90% for manual MAPSE and ECG-enabled auto-MAPSE and 82% for ECG-disabled auto-MAPSE. Feasibility in at least two walls was ≥95% for all methods. Compared with manual reference, bias [95% limits of agreement (LoA)] was -0.5 [-4.0, 3.1] mm for ECG-enabled auto-MAPSE and -0.2 [-4.2, 3.6] mm for ECG-disabled auto-MAPSE. Intra-class correlation coefficient (ICC) for consistency was 0.90 and 0.88, respectively. Manual inter-observer bias [95% LoA] was -0.9 [-4.7, 3.0] mm, and ICC was 0.86. Conclusion Auto-MAPSE was fast and highly feasible. Inter-rater reliability between auto-MAPSE and manual reference was good. Agreement between auto-MAPSE and manual reference did not differ from manual inter-observer agreement. As the principal advantages of deep-learning-based assessment are speed and reproducibility, auto-MAPSE has the potential to improve real-time monitoring of left ventricular function. This should be investigated in relevant clinical settings.
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Affiliation(s)
- Erik Andreas Rye Berg
- Centre for Innovative Ultrasound Solutions, Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
- Clinic of Cardiology, St Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
| | - Anders Austlid Taskén
- Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim 7034, Norway
| | - Trym Nordal
- Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim 7034, Norway
| | - Bjørnar Grenne
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
- Clinic of Cardiology, St Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
| | - Torvald Espeland
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
- Clinic of Cardiology, St Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
| | - Idar Kirkeby-Garstad
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
- Department of Anaesthesiology and Intensive Care Medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim 7030, Norway
| | - Håvard Dalen
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
- Clinic of Cardiology, St Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
| | - Espen Holte
- Clinic of Cardiology, St Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
| | - Stian Stølen
- Clinic of Cardiology, St Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
| | - Svend Aakhus
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
- Clinic of Cardiology, St Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, Trondheim 7030, Norway
| | - Gabriel Kiss
- Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim 7034, Norway
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Herling L, Johnson J, Ferm-Widlund K, Zamprakou A, Westgren M, Acharya G. Automated quantitative evaluation of fetal atrioventricular annular plane systolic excursion. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 58:853-863. [PMID: 34096674 DOI: 10.1002/uog.23703] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 04/06/2021] [Accepted: 05/21/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES The primary aim of this study was to evaluate the feasibility of automated measurement of fetal atrioventricular (AV) plane displacement (AVPD) over several cardiac cycles using myocardial velocity traces obtained by color tissue Doppler imaging (cTDI). The secondary objectives were to establish reference ranges for AVPD during the second half of normal pregnancy, to assess fetal AVPD in prolonged pregnancy in relation to adverse perinatal outcome and to evaluate AVPD in fetuses with a suspicion of intrauterine growth restriction (IUGR). METHODS The population used to develop the reference ranges consisted of women with an uncomplicated singleton pregnancy at 18-42 weeks of gestation (n = 201). The prolonged-pregnancy group comprised women with an uncomplicated singleton pregnancy at ≥ 41 + 0 weeks of gestation (n = 107). The third study cohort comprised women with a singleton pregnancy and suspicion of IUGR, defined as an estimated fetal weight < 2.5th centile or an estimated fetal weight < 10th centile and umbilical artery pulsatility index > 97.5th centile (n = 35). Cineloops of the four-chamber view of the fetal heart were recorded using cTDI. Regions of interest were placed at the AV plane in the left and right ventricular walls and the interventricular septum, and myocardial velocity traces were integrated and analyzed using an automated algorithm developed in-house to obtain mitral (MAPSE), tricuspid (TAPSE) and septal (SAPSE) annular plane systolic excursion. Gestational-age specific reference ranges were constructed and normalized for cardiac size. The correlation between AVPD measurements obtained using cTDI and those obtained by anatomic M-mode were evaluated, and agreement between these two methods was assessed using Bland-Altman analysis. The mean Z-scores of fetal AVPD in the cohort of prolonged pregnancies were compared between cases with normal and those with adverse outcome using Mann-Whitney U-test. The mean Z-scores of fetal AVPD in IUGR fetuses were compared with those in the normal reference population using Mann-Whitney U-test. Inter- and intraobserver variability for acquisition of cTDI recordings and offline analysis was assessed by calculating coefficients of variation (CV) using the root mean square method. RESULTS Fetal MAPSE, SAPSE and TAPSE increased with gestational age but did not change significantly when normalized for cardiac size. The fitted mean was highest for TAPSE throughout the second half of gestation, followed by SAPSE and MAPSE. There was a significant correlation between MAPSE (r = 0.64; P < 0.001), SAPSE (r = 0.72; P < 0.001) and TAPSE (r = 0.84; P < 0.001) measurements obtained by M-mode and those obtained by cTDI. The geometric means of ratios between AVPD measured by cTDI and by M-mode were 1.38 (95% limits of agreement (LoA), 0.84-2.25) for MAPSE, 1.00 (95% LoA, 0.72-1.40) for SAPSE and 1.20 (95% LoA, 0.92-1.57) for TAPSE. In the prolonged-pregnancy group, the mean ± SD Z-scores for MAPSE (0.14 ± 0.97), SAPSE (0.09 ± 1.02) and TAPSE (0.15 ± 0.90) did not show any significant difference compared to the reference ranges. Twenty-one of the 107 (19.6%) prolonged pregnancies had adverse perinatal outcome. The AVPD Z-scores were not significantly different between pregnancies with normal and those with adverse outcome in the prolonged-pregnancy cohort. The mean ± SD Z-scores for SAPSE (-0.62 ± 1.07; P = 0.006) and TAPSE (-0.60 ± 0.89; P = 0.002) were significantly lower in the IUGR group compared to those in the normal reference population, but the differences were not significant when the values were corrected for cardiac size. The interobserver CVs for the automated measurement of MAPSE, SAPSE and TAPSE were 28.1%, 17.7% and 15.3%, respectively, and the respective intraobserver CVs were 33.5%, 15.0% and 17.9%. CONCLUSIONS This study showed that fetal AVPD can be measured automatically by integrating cTDI velocities over several cardiac cycles. Automated analysis of AVPD could potentially help gather larger datasets to facilitate use of machine-learning models to study fetal cardiac function. The gestational-age associated increase in AVPD is most likely a result of increasing cardiac size, as the AVPD normalized for cardiac size did not change significantly between 18 and 42 weeks. A decrease was seen in TAPSE and SAPSE in IUGR fetuses, but not after correction for cardiac size. © 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- L Herling
- Department of Clinical Science, Intervention and Technology - CLINTEC, Karolinska Institutet, Stockholm, Sweden
- Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden
| | - J Johnson
- Department of Clinical Science, Intervention and Technology - CLINTEC, Karolinska Institutet, Stockholm, Sweden
- Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden
| | - K Ferm-Widlund
- Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden
| | - A Zamprakou
- Department of Clinical Science, Intervention and Technology - CLINTEC, Karolinska Institutet, Stockholm, Sweden
- Pregnancy and Delivery Medical Unit, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden
| | - M Westgren
- Department of Clinical Science, Intervention and Technology - CLINTEC, Karolinska Institutet, Stockholm, Sweden
- Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden
| | - G Acharya
- Department of Clinical Science, Intervention and Technology - CLINTEC, Karolinska Institutet, Stockholm, Sweden
- Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden
- Women's Health and Perinatology Research Group, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway
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Sjögren H, Pahlm U, Engblom H, Erlinge D, Heiberg E, Arheden H, Carlsson M, Ostenfeld E. Anterior STEMI associated with decreased strain in remote cardiac myocardium. Int J Cardiovasc Imaging 2021; 38:375-387. [PMID: 34482507 PMCID: PMC8888385 DOI: 10.1007/s10554-021-02391-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/21/2021] [Indexed: 11/26/2022]
Abstract
To assess (1) global longitudinal strain (GLS) by feature tracking cardiac magnetic resonance (CMR) in the sub-acute and chronic phases after ST-elevation infarction (STEMI) and compare to GLS in healthy controls, and (2) the evolution of GLS and regional longitudinal strain (RLS) over time, and their relationship to infarct location and size. Seventy-seven patients from the CHILL-MI-trial (NCT01379261) who underwent CMR 2–6 days and 6 months after STEMI and 27 healthy controls were included for comparison. Steady state free precession (SSFP) long-axis cine images were obtained for GLS and RLS, and late gadolinium enhancement (LGE) images were obtained for infarct size quantifications. GLS was impaired in the sub-acute (− 11.8 ± 3.0%) and chronic phases (− 14.3 ± 2.9%) compared to normal GLS in controls (− 18.4 ± 2.4%; p < 0.001 for both). GLS improved from sub-acute to chronic phase (p < 0.001). GLS was to some extent determined by infarct size (sub-acute: r2 = 0.2; chronic: r2 = 0.2, p < 0.001). RLS was impaired in all 6 wall-regions in LAD infarctions in both the sub-acute and chronic phase, while LCx and RCA infarctions had preserved RLS in remote myocardium at both time points. Global longitudinal strain is impaired sub-acutely after STEMI and improvement is seen in the chronic phase, although not reaching normal levels. Global longitudinal strain is only moderately determined by infarct size. Regional longitudinal strain is most impaired in the infarcted region, and LAD infarctions have effects on the whole heart. This could explain why LAD infarcts are more serious than the other culprit vessel infarctions and more often cause heart failure.
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Affiliation(s)
- Hannah Sjögren
- Department of Clinical Sciences Lund, Clinical Physiology, and Skane University Hospital, Lund University, Lund, Sweden
| | - Ulrika Pahlm
- Department of Clinical Sciences Lund, Clinical Physiology, and Skane University Hospital, Lund University, Lund, Sweden.,Department of Clinical Sciences Lund, and Anesthesia and Invasive Care, Helsingborg Hospital, Lund University, Lund, Sweden
| | - Henrik Engblom
- Department of Clinical Sciences Lund, Clinical Physiology, and Skane University Hospital, Lund University, Lund, Sweden
| | - David Erlinge
- Department of Clinical Sciences Lund, Cardiology, and Skane University Hospital, Lund University, Lund, Sweden
| | - Einar Heiberg
- Department of Clinical Sciences Lund, Clinical Physiology, and Skane University Hospital, Lund University, Lund, Sweden
| | - Håkan Arheden
- Department of Clinical Sciences Lund, Clinical Physiology, and Skane University Hospital, Lund University, Lund, Sweden
| | - Marcus Carlsson
- Department of Clinical Sciences Lund, Clinical Physiology, and Skane University Hospital, Lund University, Lund, Sweden
| | - Ellen Ostenfeld
- Department of Clinical Sciences Lund, Clinical Physiology, and Skane University Hospital, Lund University, Lund, Sweden. .,Department of Clinical Physiology, Skåne University Hospital, 221 85, Lund, Sweden.
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Pahlm U, Ostenfeld E, Seemann F, Engblom H, Erlinge D, Heiberg E, Arheden H, Carlsson M. Evolution of left ventricular function among subjects with ST-elevation myocardial infarction after percutaneous coronary intervention. BMC Cardiovasc Disord 2020; 20:309. [PMID: 32600336 PMCID: PMC7322852 DOI: 10.1186/s12872-020-01540-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/19/2020] [Indexed: 11/10/2022] Open
Abstract
Background Atrioventricular plane displacement (AVPD) reflects longitudinal left ventricular (LV) systolic function, and wall thickening (WT) regional radial LV function. The temporal evolution of these measures after STEMI with CMR has not been evaluated. We aimed to investigate how AVPD and WT are affected globally and regionally from the sub-acute to the chronic phase after ST-elevation myocardial infarction (STEMI). Methods Healthy volunteers without cardiovascular disease and medication (controls, n = 20) and patients from the CHILL-MI study (NCT01379261) prospectively underwent magnetic resonance imaging (MRI) 2–6 days and 6 months after STEMI (n = 77). CHILL-MI randomized STEMI-patients to cooling therapy initiated before reperfusion or standard of care. AVPD was measured at six points in three long axis cine images and wall thickening in short axis cine images. Infarction was quantified using late gadolinium enhancement (LGE) and used to define infarct and remote segments. Results There were no difference in AVPD either at acute or chronic phase (p = 0.90 and p = 0.40) or WT (p = 0.85 and p = 0.99) between patients randomized to cooling therapy and standard of care. Therefore, the results are presented for the pooled cohort. Global AVPD was decreased in both the sub-acute (12 ± 2 mm, p < 0.001) and the chronic phase (13 ± 2 mm, p < 0.001) compared to controls (15 ± 2 mm) with a partial recovery of AVPD (p < 0.001) in the chronic phase. Patients with left anterior descending (LAD) and right coronary artery (RCA) infarcts had decreased AVPD in the chronic phase in both infarcted and remote segments. Mean WT was decreased in patients with LAD infarction both in the sub-acute and the chronic phase in both infarcted and remote segments. The decrease in WT in patients with RCA and left circumflex (LCx) infarcts was more affected in the infarcted segments, especially in the chronic phase. Conclusion AVPD was a global rather than regional marker of cardiac function in this STEMI study and this may explain the prognostic importance of local measurements of mitral annular plane systolic excursion (MAPSE). The decrease in WT in remote myocardium even in the chronic phase needs to be taken into consideration when combining functional measurements with infarct quantification for diagnosis of post-ischemic stunning and hibernation.
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Affiliation(s)
- Ulrika Pahlm
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden.,Department of Emergency Medicine, Skane University Hospital, Lund, Sweden
| | - Ellen Ostenfeld
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Felicia Seemann
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden.,Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden
| | - Henrik Engblom
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - David Erlinge
- Cardiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Einar Heiberg
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden.,Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Håkan Arheden
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Marcus Carlsson
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden.
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8
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Farzaneh-Far A, Romano S. Measuring longitudinal left ventricular function and strain using cardiovascular magnetic resonance imaging. Eur Heart J Cardiovasc Imaging 2020; 20:1259-1261. [PMID: 31157364 DOI: 10.1093/ehjci/jez097] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Affiliation(s)
- Afshin Farzaneh-Far
- Division of Cardiology, Department of Medicine, University of Illinois at Chicago, 840 South Wood St. M/C 715, Suite 920 S, Chicago, IL, USA.,Division of Cardiology, Department of Medicine, Duke University, Durham, NC, USA
| | - Simone Romano
- Department of Medicine, University of Verona, Verona, Italy
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9
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Berg J, Jablonowski R, Nordlund D, Kopic S, Bidhult S, Xanthis CG, Saeed M, Solem K, Arheden H, Carlsson M. Decreased atrioventricular plane displacement after acute myocardial infarction yields a concomitant decrease in stroke volume. J Appl Physiol (1985) 2019; 128:252-263. [PMID: 31854250 PMCID: PMC7052588 DOI: 10.1152/japplphysiol.00480.2019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Acute myocardial infarction (AMI) can progress to heart failure, which has a poor prognosis. Normally, 60% of stroke volume (SV) is attributed to the longitudinal ventricular shortening and lengthening evident in the atrioventricular plane displacement (AVPD) during the cardiac cycle, but there is no information on how the relationship changes between SV and AVPD before and after AMI. Therefore, the aim of this study was to determine how SV depends on AVPD before and after AMI in two swine models. Serial cardiac magnetic resonance imaging was carried out before and 1–2 h after AMI in a microembolization model (n = 12) and an ischemia-reperfusion model (n = 14). A subset of pigs (n = 7) were additionally imaged at 24 h and at 7 days. Cine and late gadolinium enhancement images were analyzed for cardiac function, AVPD measurements and infarct size estimation, respectively. AVPD decreased (P < 0.05) in all myocardial regions after AMI, with a concomitant SV decrease (P < 0.001). The ischemia-reperfusion model affected SV to a higher degree and had a larger AVPD decrease than the microembolization model (−29 ± 14% vs. −15 ± 18%; P < 0.05). Wall thickening decreased in infarcted areas (P < 0.001), and A-wave AVPD remained unchanged (P = 0.93) whereas E-wave AVPD decreased (P < 0.001) after AMI. We conclude that AVPD is coupled to SV independent of infarct type but likely to a greater degree in ischemia-reperfusion infarcts compared with microembolization infarcts. AMI reduces diastolic early filling AVPD but not AVPD from atrial contraction. These findings shed light on the physiological significance of atrioventricular plane motion when assessing acute and subacute myocardial infarction. NEW & NOTEWORTHY The link between cardiac longitudinal motion, measured as atrioventricular plane displacement (AVPD), and stroke volume (SV) is investigated in swine after acute myocardial infarction (AMI). This cardiac magnetic resonance study demonstrates a close coupling between AVPD and SV before and after AMI in an experimental setting and demonstrates that this connection is present in ischemia-reperfusion and microembolization infarcts, acutely and during the first week. Furthermore, AVPD is equally and persistently depressed in infarcted and remote myocardium after AMI.
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Affiliation(s)
- J Berg
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden
| | - R Jablonowski
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden
| | - D Nordlund
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden
| | - S Kopic
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden
| | - S Bidhult
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden
| | - C G Xanthis
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden
| | - M Saeed
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | | | - H Arheden
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden
| | - M Carlsson
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Clinical Physiology, Lund, Sweden.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
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10
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Mayr A, Pamminger M, Reindl M, Greulich S, Reinstadler SJ, Tiller C, Holzknecht M, Nalbach T, Plappert D, Kranewitter C, Klug G, Metzler B. Mitral annular plane systolic excursion by cardiac MR is an easy tool for optimized prognosis assessment in ST-elevation myocardial infarction. Eur Radiol 2019; 30:620-629. [PMID: 31392477 PMCID: PMC6890588 DOI: 10.1007/s00330-019-06393-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 07/16/2019] [Accepted: 07/24/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVES The purpose of this study was to assess the comparative prognostic value of mitral annular plane systolic excursion (MAPSE) versus left ventricular ejection fraction (LVEF), measured by cardiac magnetic resonance (CMR) imaging in patients with ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (pPCI). METHODS CMR was performed in 255 STEMI patients within 2 days (interquartile range (IQR) 2-4 days) after infarction. CMR included MAPSE measurement on CINE 4-chamber view. Patients were followed for major adverse cardiovascular events (MACE)-death, non-fatal myocardial re-infarction, stroke, and new congestive heart failure. RESULTS Patients with MACE (n = 35, 14%, median follow-up 3 years [IQR 1-4 years]) showed significantly lower MAPSE (8 mm [7-8.8] vs. 9.6 mm [8.1-11.5], p < 0.001). The association between decreased MAPSE (< 9 mm, optimal cut-off value by c-statistics) remained significant after adjustment for independent clinical and CMR predictors of MACE. The AUC of MAPSE for the prediction of MACE was 0.74 (CI 95% 0.65-0.82), significantly higher than that of LVEF (0.61 [CI 95% 0.50-0.71]; p < 0.001). CONCLUSIONS Reduced long-axis function assessed with MAPSE measurement using CINE CMR independently predicts long-term prognosis following STEMI. Moreover, MAPSE provided significantly higher prognostic implication in comparison with conventional LVEF measurement. KEY POINTS • MAPSE determined by CMR independently predicts long-term prognosis following STEMI. • MACE-free survival is significantly higher in patients with MAPSE ≥ 9 mm than < 9 mm. • MAPSE provides significantly higher prognostic implication than conventional LVEF.
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Affiliation(s)
- Agnes Mayr
- University Clinic of Radiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria.
| | - Mathias Pamminger
- University Clinic of Radiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Martin Reindl
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Simon Greulich
- Department of Cardiology and Cardiovascular Diseases, University Hospital Tübingen, Otfried Müller-Straße 10, 72076, Tübingen, Germany
| | - Sebastian J Reinstadler
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Christina Tiller
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Magdalena Holzknecht
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Timo Nalbach
- University Clinic of Radiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - David Plappert
- University Clinic of Radiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Christof Kranewitter
- University Clinic of Radiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Gert Klug
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
| | - Bernhard Metzler
- University Clinic of Internal Medicine III, Cardiology and Angiology, Medical University Innsbruck, Anichstraße 35, A-6020, Innsbruck, Austria
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