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Tao Y, Lv Z, Liu W, Qi H, Hu P. Recurrent neural network-based simultaneous cardiac T1, T2, and T1ρ mapping. NMR IN BIOMEDICINE 2024; 37:e5133. [PMID: 38520183 DOI: 10.1002/nbm.5133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/25/2024]
Abstract
The purpose of the current study was to explore the feasibility of training a deep neural network to accelerate the process of generating T1, T2, and T1ρ maps for a recently proposed free-breathing cardiac multiparametric mapping technique, where a recurrent neural network (RNN) was utilized to exploit the temporal correlation among the multicontrast images. The RNN-based model was developed for rapid and accurate T1, T2, and T1ρ estimation. Bloch simulation was performed to simulate a dataset of more than 10 million signals and time correspondences with different noise levels for network training. The proposed RNN-based method was compared with a dictionary-matching method and a conventional mapping method to evaluate the model's effectiveness in phantom and in vivo studies at 3 T, respectively. In phantom studies, the RNN-based method and the dictionary-matching method achieved similar accuracy and precision in T1, T2, and T1ρ estimations. In in vivo studies, the estimated T1, T2, and T1ρ values obtained by the two methods achieved similar accuracy and precision for 10 healthy volunteers (T1: 1228.70 ± 53.80 vs. 1228.34 ± 52.91 ms, p > 0.1; T2: 40.70 ± 2.89 vs. 41.19 ± 2.91 ms, p > 0.1; T1ρ: 45.09 ± 4.47 vs. 45.23 ± 4.65 ms, p > 0.1). The RNN-based method can generate cardiac multiparameter quantitative maps simultaneously in just 2 s, achieving 60-fold acceleration compared with the dictionary-matching method. The RNN-accelerated method offers an almost instantaneous approach for reconstructing accurate T1, T2, and T1ρ maps, being much more efficient than the dictionary-matching method for the free-breathing multiparametric cardiac mapping technique, which may pave the way for inline mapping in clinical applications.
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Affiliation(s)
- Yiming Tao
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Zhenfeng Lv
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Wenjian Liu
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Haikun Qi
- School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
- Shanghai Clinical Research and Trial Center, ShanghaiTech University, Shanghai, China
| | - Peng Hu
- School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
- Shanghai Clinical Research and Trial Center, ShanghaiTech University, Shanghai, China
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Dhore-Patil A, Modi V, El-Moatasem G, Bersali A, Darwish A, Shah D. Cardiac magnetic resonance findings in cardiac amyloidosis. Curr Opin Cardiol 2024:00001573-990000000-00164. [PMID: 38963426 DOI: 10.1097/hco.0000000000001166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
PURPOSE OF REVIEW The purpose of this review is to highlight the increasing importance of cardiac magnetic resonance (CMR) imaging in diagnosing and managing cardiac amyloidosis, especially given the recent advancements in treatment options. RECENT FINDINGS This review emphasizes the crucial role of late gadolinium enhancement (LGE) with phase-sensitive inversion recovery (PSIR) techniques in both diagnosing and predicting patient outcomes in cardiac amyloidosis. The review also explores promising new techniques for diagnosing early-stage disease, such as native T1 mapping and ECV quantification. Additionally, it delves into experimental techniques like diffusion tensor imaging, MR elastography, and spectroscopy. SUMMARY This review underscores CMR as a powerful tool for diagnosing cardiac amyloidosis, assessing risk factors, and monitoring treatment response. While LGE imaging remains the current best practice for diagnosis, emerging techniques such as T1 mapping and ECV quantification offer promise for improved detection, particularly in early stages of the disease. This has significant implications for patient management as newer therapeutic options become available for cardiac amyloidosis.
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Affiliation(s)
- Aneesh Dhore-Patil
- Cardiovascular MRI Laboratory, Division of Cardiovascular Imaging, Houston Methodist DeBakey Heart & Vascular Center, Weill Cornell Medical College, Houston, Texas, USA
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Barison A, Gueli IA, Pizzino F, Grigoratos C, Todiere G. Cardiovascular Magnetic Resonance in the Management of Cardiac Amyloidosis: Current and Future Clinical Applications. Heart Fail Clin 2024; 20:295-305. [PMID: 38844300 DOI: 10.1016/j.hfc.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
Cardiac magnetic resonance represents the gold standard imaging technique to assess cardiac volumes, wall thickness, mass, and systolic function but also to provide noninvasive myocardial tissue characterization across almost all cardiac diseases. In patients with cardiac amyloidosis, increased wall thickness of all heart chambers, a mildly reduced ejection fraction and occasionally pleural and pericardial effusion are the characteristic morphologic anomalies. The typical pattern after contrast injection is represented by diffuse areas of late gadolinium enhancement, which can be focal and patchy in very early stages, circumferential, and subendocardial in intermediate stages or even diffuse transmural in more advanced stages.
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Affiliation(s)
- Andrea Barison
- Department of Cardiology and Cardiovascular Medicine, Fondazione "Gabriele Monasterio" CNR - Regione Toscana, Via Moruzzi, 1, Pisa 56124, Italy; Scuola Superiore Sant'Anna, Piazza Martiri della Libertà, 33, Pisa 56127, Italy.
| | - Ignazio Alessio Gueli
- Department of Cardiology and Cardiovascular Medicine, Fondazione "Gabriele Monasterio" CNR - Regione Toscana, Via Moruzzi, 1, Pisa 56124, Italy; Scuola Superiore Sant'Anna, Piazza Martiri della Libertà, 33, Pisa 56127, Italy
| | - Fausto Pizzino
- Ospedale del Cuore, Fondazione "Gabriele Monasterio" CNR - Regione Toscana, Via Aurelia Sud, Massa 54100, Italy
| | - Chrysanthos Grigoratos
- Department of Cardiology and Cardiovascular Medicine, Fondazione "Gabriele Monasterio" CNR - Regione Toscana, Via Moruzzi, 1, Pisa 56124, Italy
| | - Giancarlo Todiere
- Department of Cardiology and Cardiovascular Medicine, Fondazione "Gabriele Monasterio" CNR - Regione Toscana, Via Moruzzi, 1, Pisa 56124, Italy
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Paelinck BP, Bondue A, Robyns T, Eyskens F. Left ventricular hypertrophy: do not forget Fabry disease. Diagnostic work-up and differential diagnosis. Acta Cardiol 2024:1-8. [PMID: 38869089 DOI: 10.1080/00015385.2024.2346873] [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: 10/31/2022] [Accepted: 04/18/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Left ventricular (LV) hypertrophy is a common clinical finding. Differential diagnosis includes Fabry disease, a rare and progressive, but treatable storage disease caused by deficiency of α-galactosidase A. However, diagnosis of Fabry is often hampered by its clinical heterogeneity, LV hypertrophy phenocopies and unawareness of the clinician. METHODS This review summarises clinical data, family history, electrocardiogram (ECG) and imaging (echocardiogram and cardiovascular magnetic resonance (CMR)) characteristics to differentiate aetiologies of LV hypertrophy including clues for the diagnosis of Fabry. RESULTS LV hypertrophy is a consequence of pressure overload mostly, but differential diagnosis includes hypertrophic cardiomyopathy and infiltrative diseases. Clinical data, ECG, type and degree of LV hypertrophy, functional and tissue characteristics differ among aetiologies. LV hypertrophy in Fabry is progressive and mostly concentric but may copy any hypertrophic cardiomyopathy. Dependent on residual alfa-galactosidase A enzyme activity, degree of LV hypertrophy in Fabry may vary. Initially, low myocardial CMR T1-map values are calculated. At a later stage, midwall late gadolinium enhancement of the inferolateral LV wall may occur. Global longitudinal strain may be depressed in the inferolateral wall. Voltage criteria for LV hypertrophy and short PQ interval are common. Right ventricular (RV) hypertrophy is frequent. In addition, multisystemic symptoms including neuropathic pain, hypohidrosis, proteinuria, renal insufficiency and familial young stroke are pointing to Fabry. CONCLUSIONS LV hypertrophy should raise suspicion of Fabry disease, especially if LV hypertrophy is unexplained and/or associated with RV hypertrophy. In Fabry, LV hypertrophy may be heterogeneous and mimic any hypertrophic cardiomyopathy. ECG, multisystemic symptoms and imaging may provide clues for Fabry.
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Affiliation(s)
- Bernard P Paelinck
- Department of Cardiology, University Hospital Antwerp, Antwerp, Belgium
- Department of Cardiac Surgery, University Hospital Antwerp, Antwerp, Belgium
| | - Antoine Bondue
- Department of Cardiology, University Hospital Erasme and IRIBHM, Université Libre de Bruxelles, Brussels, Belgium
| | - Tomas Robyns
- Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium
| | - François Eyskens
- Department of Pediatrics, University Hospital Antwerp, Antwerp, Belgium
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Benz DC, Dorbala S. Multimodality imaging of cardiac amyloidosis. Heart 2024; 110:873-882. [PMID: 37586824 PMCID: PMC10869633 DOI: 10.1136/heartjnl-2022-321115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/18/2023] Open
Affiliation(s)
- Dominik C Benz
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Sharmila Dorbala
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Hamilton JI, Lima da Cruz G, Rashid I, Walker J, Rajagopalan S, Seiberlich N. Deep image prior cine MR fingerprinting with B 1 + spin history correction. Magn Reson Med 2024; 91:2010-2027. [PMID: 38098428 PMCID: PMC10950517 DOI: 10.1002/mrm.29979] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 03/07/2024]
Abstract
PURPOSE To develop a deep image prior (DIP) reconstruction for B1 + -corrected 2D cine MR fingerprinting (MRF). METHODS The proposed method combines low-rank (LR) modeling with a DIP to generate cardiac phase-resolved parameter maps without motion correction, employing self-supervised training to enforce consistency with undersampled spiral k-space data. Two implementations were tested: one approach (DIP) for cine T1 , T2 , and M0 mapping, and a second approach (DIP with effective B1 + estimation [DIP-B1]) that also generated an effective B1 + map to correct for errors due to RF transmit inhomogeneities, through-plane motion, and blood flow. Cine MRF data were acquired in 14 healthy subjects and four reconstructions were compared: LR, low-rank motion-corrected (LRMC), DIP, and DIP-B1. Results were compared to diastolic ECG-triggered MRF, MOLLI, and T2 -prep bSSFP. Additionally, bright-blood and dark-blood images calculated from cine MRF maps were used to quantify ventricular function and compared to reference cine measurements. RESULTS DIP and DIP-B1 outperformed other cine MRF reconstructions with improved noise suppression and delineation of high-resolution details. Within-segment variability in the myocardium (reported as the coefficient of variation for T1 /T2 ) was lowest for DIP-B1 (2.3/8.3%) followed by DIP (2.7/8.7%), LRMC (3.5/10.5%), and LR (15.3/39.6%). Spatial homogeneity improved with DIP-B1 having the lowest intersegment variability (2.6/4.1%). The mean bias in ejection fraction was -1.1% compared to reference cine scans. CONCLUSION A DIP reconstruction for 2D cine MRF enabled cardiac phase-resolved mapping of T1 , T2 , M0 , and the effective B1 + with improved noise suppression and precision compared to LR and LRMC.
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Affiliation(s)
- Jesse I. Hamilton
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | | | - Imran Rashid
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Harrington Heart and Vascular Institute, Cleveland, OH, USA
| | - Jonathan Walker
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Harrington Heart and Vascular Institute, Cleveland, OH, USA
| | - Sanjay Rajagopalan
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Harrington Heart and Vascular Institute, Cleveland, OH, USA
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
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Cui Q, Yu J, Ge X, Gao G, Liu Y, He Q, Shen W. Diagnostic value of LGE and T1 mapping in multiple myeloma patients'heart. BMC Cardiovasc Disord 2024; 24:230. [PMID: 38678215 PMCID: PMC11055279 DOI: 10.1186/s12872-024-03895-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 04/19/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Unidentified heart failure occurs in patients with multiple myeloma when their heart was involved. CMR with late gadolinium enhancement (LGE) and T1 mapping can identify myocardial amyloid infiltrations. PURPOSE To explore the role of CMR with late gadolinium enhancement (LGE) and T1 mapping for detection of multiple myeloma patients'heart. MATERIAL AND METHODS A total of 16 MM patients with above underwent CMR (3.0-T) with T1 mapping (pre-contrast and post-contrast) and LGE imaging. In addition, 26 patients with non-obstructive hypertrophic cardiomyopathy and 26 healthy volunteers were compared to age- and sex-matched healthy controls without a history of cardiac disease, diabetes mellitus, or normal in CMR. All statistical analyses were performed using the statistical software GraphPad Prism. The measurement data were represented by median (X) and single sample T test was adopted. Enumeration data were represented by examples and Chi-tested was adopted. All tests were two-sided, and P values < 0.05 were considered statistically significant. RESULTS In MM group, LVEF was lower than healthy controls and higher than that of non-obstructive hypertrophic cardiomyopathy group, but without statistically significant difference (%: 49.1 ± 17.5 vs. 55.6 ± 10.3, 40.4 ± 15.6, all P > 0.05). Pre-contrast T1 values of MM group were obviously higher than those of healthy controls and non-obstructive hypertrophic cardiomyopathy group (ms:1462.0 ± 71.3vs. 1269.3 ± 42.3, 1324.0 ± 45.1, all P < 0.05). 16 cases (100%) in MM group all had LGE. CONCLUSION LGE joint T1 mapping wider clinical use techniques and follow-up the patients'disease severity.
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Affiliation(s)
- Qian Cui
- The First Central Clinical School, Tianjin Medical University, Tianjin, China
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Tianjin, 300192, China
| | - Jing Yu
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Tianjin, 300192, China
| | - Xihong Ge
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Tianjin, 300192, China
| | - Guangfeng Gao
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Tianjin, 300192, China
| | - Yang Liu
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Tianjin, 300192, China
| | - Qiang He
- Department of Cardiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Wen Shen
- The First Central Clinical School, Tianjin Medical University, Tianjin, China.
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No.24 Fukang Road, Tianjin, 300192, China.
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Kamel MA, Abbas MT, Kanaan CN, Awad KA, Baba Ali N, Scalia IG, Farina JM, Pereyra M, Mahmoud AK, Steidley DE, Rosenthal JL, Ayoub C, Arsanjani R. How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges. J Cardiovasc Dev Dis 2024; 11:118. [PMID: 38667736 PMCID: PMC11050851 DOI: 10.3390/jcdd11040118] [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: 02/29/2024] [Revised: 04/09/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Cardiac amyloidosis (CA) is an underdiagnosed form of infiltrative cardiomyopathy caused by abnormal amyloid fibrils deposited extracellularly in the myocardium and cardiac structures. There can be high variability in its clinical manifestations, and diagnosing CA requires expertise and often thorough evaluation; as such, the diagnosis of CA can be challenging and is often delayed. The application of artificial intelligence (AI) to different diagnostic modalities is rapidly expanding and transforming cardiovascular medicine. Advanced AI methods such as deep-learning convolutional neural networks (CNNs) may enhance the diagnostic process for CA by identifying patients at higher risk and potentially expediting the diagnosis of CA. In this review, we summarize the current state of AI applications to different diagnostic modalities used for the evaluation of CA, including their diagnostic and prognostic potential, and current challenges and limitations.
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Affiliation(s)
- Moaz A. Kamel
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | | | | | - Kamal A. Awad
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Nima Baba Ali
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Isabel G. Scalia
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Juan M. Farina
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Milagros Pereyra
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Ahmed K. Mahmoud
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - D. Eric Steidley
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Julie L. Rosenthal
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Chadi Ayoub
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
- Division of Cardiovascular Imaging, Mayo Clinic, 5777 East Mayo Boulevard, Phoenix, AZ 85054, USA
| | - Reza Arsanjani
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
- Division of Cardiovascular Imaging, Mayo Clinic, 5777 East Mayo Boulevard, Phoenix, AZ 85054, USA
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Maggialetti N, Torrente A, Lorusso G, Villanova I, Ficco M, Gravina M, Ferrari C, Giordano L, Granata V, Rubini D, Lucarelli NM, Stabile Ianora AA, Scardapane A. Role of Cardiovascular Magnetic Resonance in Cardiac Amyloidosis: A Narrative Review. J Pers Med 2024; 14:407. [PMID: 38673034 PMCID: PMC11051560 DOI: 10.3390/jpm14040407] [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: 03/17/2024] [Revised: 03/31/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Amyloidosis is a rare infiltrative condition resulting from the extracellular accumulation of amyloid fibrils at the cardiac level. It can be an acquired condition or due to genetic mutations. With the progression of imaging technologies, a non-invasive diagnosis was proposed. In this study, we discuss the role of CMR in cardiac amyloidosis, focusing on the two most common subtypes (AL and ATTR), waiting for evidence-based guidelines to be published.
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Affiliation(s)
- Nicola Maggialetti
- Section of Radiology and Radiation Oncology, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Andrea Torrente
- Section of Radiology and Radiation Oncology, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Giovanni Lorusso
- Section of Radiology and Radiation Oncology, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Ilaria Villanova
- Section of Radiology and Radiation Oncology, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Michele Ficco
- U.O.C. Radiologia, P.O. San Paolo, ASL Bari, 70123 Bari, Italy
| | - Matteo Gravina
- Radiology Unit, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Cristina Ferrari
- Section of Nuclear Medicine, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Luca Giordano
- U.O.C. Radiodiagnostica, Ospedaliera Vito Fazzi, 73100 Lecce, Italy
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy
| | - Dino Rubini
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy
| | - Nicola Maria Lucarelli
- Section of Radiology and Radiation Oncology, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Amato Antonio Stabile Ianora
- Section of Radiology and Radiation Oncology, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Arnaldo Scardapane
- Sperimental Medicine Department, University of Salento, 73100 Lecce, Italy
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Khachatoorian Y, Fuisz A, Frishman WH, Aronow WS, Ranjan P. The Significance of Parametric Mapping in Advanced Cardiac Imaging. Cardiol Rev 2024:00045415-990000000-00243. [PMID: 38595125 DOI: 10.1097/crd.0000000000000695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Cardiac magnetic resonance imaging has witnessed a transformative shift with the integration of parametric mapping techniques, such as T1 and T2 mapping and extracellular volume fraction. These techniques play a crucial role in advancing our understanding of cardiac function and structure, providing unique insights into myocardial tissue properties. Native T1 mapping is particularly valuable, correlating with histopathological fibrosis and serving as a marker for various cardiac pathologies. Extracellular volume fraction, an early indicator of myocardial remodeling, predicts adverse outcomes in heart failure. Elevated T2 relaxation time in cardiac MRI indicates myocardial edema, enabling noninvasive and early detection in conditions like myocarditis. These techniques offer precise insights into myocardial properties, enhancing the accuracy of diagnosis and prognosis across a spectrum of cardiac conditions, including myocardial infarction, autoimmune diseases, myocarditis, and sarcoidosis. Emphasizing the significance of these techniques in myocardial tissue analysis, the review provides a comprehensive overview of their applications and contributions to our understanding of cardiac diseases.
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Affiliation(s)
- Yeraz Khachatoorian
- From the Departments of Cardiology and Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
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11
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Malmberg MA, Odéen H, Hofstetter LW, Hadley JR, Parker DL. Validation of single reference variable flip angle (SR-VFA) dynamic T 1 mapping with T 2 * correction using a novel rotating phantom. Magn Reson Med 2024; 91:1419-1433. [PMID: 38115639 PMCID: PMC10872756 DOI: 10.1002/mrm.29944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/12/2023] [Accepted: 11/09/2023] [Indexed: 12/21/2023]
Abstract
PURPOSE To validate single reference variable flip angle (SR-VFA) dynamic T1 mapping with and without T2 * correction against inversion recovery (IR) T1 measurements. METHODS A custom cylindrical phantom with three concentric compartments was filled with variably doped agar to produce a smooth spatial gradient of the T1 relaxation rate as a function of angle across each compartment. IR T1 , VFA T1 , and B1 + measurements were made on the phantom before rotation, and multi-echo stack-of-radial dynamic images were acquired during rotation via an MRI-compatible motor. B1 + -corrected SR-VFA and SR-VFA-T2 * T1 maps were computed from the sliding window reconstructed images and compared against rotationally registered IR and VFA T1 maps to determine the percentage error. RESULTS Both VFA and SR-VFA-T2 * T1 maps fell within 10% of IR T1 measurements for a low rotational speed, with a mean accuracy of 2.3% ± 2.6% and 2.8% ± 2.6%, respectively. Increasing rotational speed was found to decrease the accuracy due to increasing temporal smoothing over ranges where the T1 change had a nonconstant slope. SR-VFA T1 mapping was found to have similar accuracy as the SR-VFA-T2 * and VFA methods at low TEs (˜<2 ms), whereas accuracy degraded strongly with later TEs. T2 * correction of the SR-VFA T1 maps was found to consistently improve accuracy and precision, especially at later TEs. CONCLUSION SR-VFA-T2 * dynamic T1 mapping was found to be accurate against reference IR T1 measurements within 10% in an agar phantom. Further validation is needed in mixed fat-water phantoms and in vivo.
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Affiliation(s)
- Michael A. Malmberg
- Department of Bioengineering, University of Utah, Salt Lake City, UT, USA
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Henrik Odéen
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - J. Rock Hadley
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Dennis L. Parker
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
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12
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Petersen A, Nagel SN, Hamm B, Elgeti T, Schaafs LA. The influence of left bundle branch block on myocardial T1 mapping. Sci Rep 2024; 14:5379. [PMID: 38438510 PMCID: PMC10912434 DOI: 10.1038/s41598-024-55821-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/28/2024] [Indexed: 03/06/2024] Open
Abstract
Tissue characterisation using T1 mapping has become an established magnetic resonance imaging (MRI) technique to detect myocardial diseases. This retrospective study aimed to determine the influence of left bundle branch block (LBBB) on T1 mapping at 1.5 T. Datasets of 36 patients with LBBB and 27 healthy controls with T1 mapping (Modified Look-Locker inversion-recovery (MOLLI), 5(3)3 sampling) were included. T1 relaxation times were determined on mid-cavity short-axis images. R2 maps were generated as a pixel-wise indicator for the goodness of the fit of T1 maps. R2 values were significantly lower in patients with LBBB than in healthy controls (whole myocardium/septum, 0.997, IQR, 0.00 vs. 0.998, IQR, 0.00; p = 0.008/0.998, IQR, 0.00 vs. 0.999, IQR, 0.00; p = 0.027). Manual correction of semi-automated evaluation tended to improve R2 values but not significantly. Strain analysis was performed and the systolic dyssynchrony index (SDIglobal) was calculated as a measure for left ventricular dyssynchrony. While MRI is generally prone to artefacts, lower goodness of the fit in LBBB may be mainly attributable to asynchronous contraction. Therefore, careful checking of the source data and, if necessary, manual post-processing is important. New techniques might improve the goodness of the fit of T1 mapping by reducing sampling in the motion prone diastole of LBBB patients.
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Affiliation(s)
- Antonia Petersen
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
| | - Sebastian Niko Nagel
- Academic Department of Diagnostic and Interventional Radiology and Paediatric Radiology, Protestant Hospital of the Bethel Foundation, Bielefeld University, Medical School and University Medical Center East Westphalia-Lippe, Burgsteig 13, 33617, Bielefeld, Germany
| | - Bernd Hamm
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Thomas Elgeti
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Lars-Arne Schaafs
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
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13
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Steen H, Montenbruck M, Kallifatidis A, André F, Frey N, Kelle S, Korosoglou G. Multi-parametric non-contrast cardiac magnetic resonance for the differentiation between cardiac amyloidosis and hypertrophic cardiomyopathy. Clin Res Cardiol 2024; 113:469-480. [PMID: 38095711 DOI: 10.1007/s00392-023-02348-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 11/20/2023] [Indexed: 02/22/2024]
Abstract
AIM To evaluate the ability of fast strain-encoded (SENC) cardiac magnetic resonance (CMR) derived myocardial strain and native T1 mapping to discriminate between hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis. METHODS Ninety nine patients (57 with hypertrophic cardiomyopathy and 42 with cardiac amyloidosis) were systematically analysed. LV-ejection fraction, LV-mass index, septal wall thickness and native T1 mapping values were assessed. In addition, global circumferential and longitudinal strain and segmental circumferential and longitudinal strain in basal, mid-ventricular, and apical segments were calculated. A ratio was built by dividing native T1 values by basal segmental strain (T1-to-basal segmental strain ratio). RESULTS Myocardial strain was equally distributed in apical and basal segments in HCM patients, whereas an apical sparing with less impaired apical strain was noticed in cardiac amyloidosis (apical-to-basal-ratio of 1.01 ± 0.23 versus 1.20 ± 0.28, p < 0.001). T1 values were significantly higher in amyloidosis compared to HCM patients (1170.7 ± 66.4 ms versus 1078.3 ± 57.4ms, p < 0.001). The T1-to-basal segmental strain ratio exhibited high accuracy for the differentiation between the two clinical entities (Sensitivity = 85%, Specificity = 77%, AUC = 0.90, 95% CI = 0.81-0.95, p < 0.001). Multivariable analysis showed that age and the T1-to-basal-strain-ratio were the most robust factors for the differentiation between HCM and cardiac amyloidosis. CONCLUSION The T1-to-basal-segmental strain ratio, combining information from segmental circumferential and longitudinal strain and native T1 mapping aids the differentiation between HCM and cardiac amyloidosis with high accuracy and within a fast CMR protocol, obviating the need for contrast agent administration.
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Affiliation(s)
- Henning Steen
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | | | | | - Florian André
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Sebastian Kelle
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité Berlin, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Grigorios Korosoglou
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Hospital Weinheim, Roentgenstrasse 1, 69469, Weinheim, Germany.
- Weinheim Imaging Center, GRN Hospital Weinheim, Hector Foundation, Weinheim, Germany.
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14
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Anastasiou V, Daios S, Karamitsos T, Peteinidou E, Didagelos M, Giannakoulas G, Aggeli C, Tsioufis K, Ziakas A, Kamperidis V. Multimodality imaging for the global evaluation of aortic stenosis: The valve, the ventricle, the afterload. Trends Cardiovasc Med 2024:S1050-1738(24)00015-X. [PMID: 38387745 DOI: 10.1016/j.tcm.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/03/2024] [Accepted: 02/04/2024] [Indexed: 02/24/2024]
Abstract
Aortic stenosis (AS) is the most common valvular heart disease growing in parallel to the increment of life expectancy. Besides the valve, the degenerative process affects the aorta, impairing its elastic properties and leading to increased systemic resistance. The composite of valvular and systemic afterload mediates ventricular damage. The first step of a thorough evaluation of AS should include a detailed assessment of valvular anatomy and hemodynamics. Subsequently, the ventricle, and the global afterload should be assessed to define disease stage and prognosis. Multimodality imaging is of paramount importance for the comprehensive evaluation of these three elements. Echocardiography is the cornerstone modality whereas Multi-Detector Computed Tomography and Cardiac Magnetic Resonance provide useful complementary information. This review comprehensively examines the merits of these imaging modalities in AS for the evaluation of the valve, the ventricle, and the afterload and ultimately endeavors to integrate them in a holistic assessment of AS.
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Affiliation(s)
- Vasileios Anastasiou
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stylianos Daios
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Theodoros Karamitsos
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Emmanouela Peteinidou
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Matthaios Didagelos
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - George Giannakoulas
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Constantina Aggeli
- 1st Department of Cardiology, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Tsioufis
- 1st Department of Cardiology, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Antonios Ziakas
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vasileios Kamperidis
- 1st Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
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15
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Rashid I, Lima da Cruz G, Seiberlich N, Hamilton JI. Cardiac MR Fingerprinting: Overview, Technical Developments, and Applications. J Magn Reson Imaging 2023:10.1002/jmri.29206. [PMID: 38153855 PMCID: PMC11211246 DOI: 10.1002/jmri.29206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 12/30/2023] Open
Abstract
Cardiovascular magnetic resonance (CMR) is an established imaging modality with proven utility in assessing cardiovascular diseases. The ability of CMR to characterize myocardial tissue using T1 - and T2 -weighted imaging, parametric mapping, and late gadolinium enhancement has allowed for the non-invasive identification of specific pathologies not previously possible with modalities like echocardiography. However, CMR examinations are lengthy and technically complex, requiring multiple pulse sequences and different anatomical planes to comprehensively assess myocardial structure, function, and tissue composition. To increase the overall impact of this modality, there is a need to simplify and shorten CMR exams to improve access and efficiency, while also providing reproducible quantitative measurements. Multiparametric MRI techniques that measure multiple tissue properties offer one potential solution to this problem. This review provides an in-depth look at one such multiparametric approach, cardiac magnetic resonance fingerprinting (MRF). The article is structured as follows. First, a brief review of single-parametric and (non-Fingerprinting) multiparametric CMR mapping techniques is presented. Second, a general overview of cardiac MRF is provided covering pulse sequence implementation, dictionary generation, fast k-space sampling methods, and pattern recognition. Third, recent technical advances in cardiac MRF are covered spanning a variety of topics, including simultaneous multislice and 3D sampling, motion correction algorithms, cine MRF, synthetic multicontrast imaging, extensions to measure additional clinically important tissue properties (proton density fat fraction, T2 *, and T1ρ ), and deep learning methods for image reconstruction and parameter estimation. The last section will discuss potential clinical applications, concluding with a perspective on how multiparametric techniques like MRF may enable streamlined CMR protocols. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Imran Rashid
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Gastao Lima da Cruz
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH, USA
| | - Nicole Seiberlich
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH, USA
| | - Jesse I. Hamilton
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH, USA
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16
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Argentiero A, Carella MC, Mandunzio D, Greco G, Mushtaq S, Baggiano A, Fazzari F, Fusini L, Muscogiuri G, Basile P, Siena P, Soldato N, Napoli G, Santobuono VE, Forleo C, Garrido EC, Di Marco A, Pontone G, Guaricci AI. Cardiac Magnetic Resonance as Risk Stratification Tool in Non-Ischemic Dilated Cardiomyopathy Referred for Implantable Cardioverter Defibrillator Therapy-State of Art and Perspectives. J Clin Med 2023; 12:7752. [PMID: 38137821 PMCID: PMC10743710 DOI: 10.3390/jcm12247752] [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: 10/31/2023] [Revised: 12/12/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023] Open
Abstract
Non-ischemic dilated cardiomyopathy (DCM) is a disease characterized by left ventricular dilation and systolic dysfunction. Patients with DCM are at higher risk for ventricular arrhythmias and sudden cardiac death (SCD). According to current international guidelines, left ventricular ejection fraction (LVEF) ≤ 35% represents the main indication for prophylactic implantable cardioverter defibrillator (ICD) implantation in patients with DCM. However, LVEF lacks sensitivity and specificity as a risk marker for SCD. It has been seen that the majority of patients with DCM do not actually benefit from the ICD implantation and, on the contrary, that many patients at risk of SCD are not identified as they have preserved or mildly depressed LVEF. Therefore, the use of LVEF as unique decision parameter does not maximize the benefit of ICD therapy. Multiple risk factors used in combination could likely predict SCD risk better than any single risk parameter. Several predictors have been proposed including genetic variants, electric indexes, and volumetric parameters of LV. Cardiac magnetic resonance (CMR) can improve risk stratification thanks to tissue characterization sequences such as LGE sequence, parametric mapping, and feature tracking. This review evaluates the role of CMR as a risk stratification tool in DCM patients referred for ICD.
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Affiliation(s)
- Adriana Argentiero
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Maria Cristina Carella
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Donato Mandunzio
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Giulia Greco
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Saima Mushtaq
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (A.B.); (F.F.); (L.F.); (G.P.)
| | - Andrea Baggiano
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (A.B.); (F.F.); (L.F.); (G.P.)
| | - Fabio Fazzari
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (A.B.); (F.F.); (L.F.); (G.P.)
| | - Laura Fusini
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (A.B.); (F.F.); (L.F.); (G.P.)
| | | | - Paolo Basile
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Paola Siena
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Nicolò Soldato
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Gianluigi Napoli
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Vincenzo Ezio Santobuono
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Cinzia Forleo
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
| | - Eduard Claver Garrido
- Bio-Heart Cardiovascular Diseases Research Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, 08907 Barcelona, Spain; (E.C.G.); (A.D.M.)
- Department of Cardiology, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Andrea Di Marco
- Bio-Heart Cardiovascular Diseases Research Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, 08907 Barcelona, Spain; (E.C.G.); (A.D.M.)
- Department of Cardiology, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Gianluca Pontone
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (A.B.); (F.F.); (L.F.); (G.P.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy
| | - Andrea Igoren Guaricci
- University Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70121 Bari, Italy; (A.A.); (M.C.C.); (D.M.); (G.G.); (P.B.); (P.S.); (N.S.); (G.N.); (V.E.S.); (C.F.)
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17
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Pergola V, Cameli M, Mattesi G, Mushtaq S, D’Andrea A, Guaricci AI, Pastore MC, Amato F, Dellino CM, Motta R, Perazzolo Marra M, Dellegrottaglie S, Pedrinelli R, Iliceto S, Nodari S, Perrone Filardi P, Pontone G. Multimodality Imaging in Advanced Heart Failure for Diagnosis, Management and Follow-Up: A Comprehensive Review. J Clin Med 2023; 12:7641. [PMID: 38137711 PMCID: PMC10743799 DOI: 10.3390/jcm12247641] [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: 11/06/2023] [Revised: 12/02/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Advanced heart failure (AHF) presents a complex landscape with challenges spanning diagnosis, management, and patient outcomes. In response, the integration of multimodality imaging techniques has emerged as a pivotal approach. This comprehensive review delves into the profound significance of these imaging strategies within AHF scenarios. Multimodality imaging, encompassing echocardiography, cardiac magnetic resonance imaging (CMR), nuclear imaging and cardiac computed tomography (CCT), stands as a cornerstone in the care of patients with both short- and long-term mechanical support devices. These techniques facilitate precise device selection, placement, and vigilant monitoring, ensuring patient safety and optimal device functionality. In the context of orthotopic cardiac transplant (OTC), the role of multimodality imaging remains indispensable. Echocardiography offers invaluable insights into allograft function and potential complications. Advanced methods, like speckle tracking echocardiography (STE), empower the detection of acute cell rejection. Nuclear imaging, CMR and CCT further enhance diagnostic precision, especially concerning allograft rejection and cardiac allograft vasculopathy. This comprehensive imaging approach goes beyond diagnosis, shaping treatment strategies and risk assessment. By harmonizing diverse imaging modalities, clinicians gain a panoramic understanding of each patient's unique condition, facilitating well-informed decisions. The aim is to highlight the novelty and unique aspects of recently published papers in the field. Thus, this review underscores the irreplaceable role of multimodality imaging in elevating patient outcomes, refining treatment precision, and propelling advancements in the evolving landscape of advanced heart failure management.
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Affiliation(s)
- Valeria Pergola
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani 2, 35128 Padova, Italy; (G.M.); (F.A.); (M.P.M.); (S.I.)
| | - Matteo Cameli
- Department of Cardiovascular Diseases, University of Sienna, 53100 Siena, Italy; (M.C.); (M.C.P.)
| | - Giulia Mattesi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani 2, 35128 Padova, Italy; (G.M.); (F.A.); (M.P.M.); (S.I.)
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (C.M.D.); (G.P.)
| | | | - Andrea Igoren Guaricci
- University Cardiology Unit, Interdisciplinary Department of Medicine, Policlinic University Hospital, 70121 Bari, Italy;
| | - Maria Concetta Pastore
- Department of Cardiovascular Diseases, University of Sienna, 53100 Siena, Italy; (M.C.); (M.C.P.)
| | - Filippo Amato
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani 2, 35128 Padova, Italy; (G.M.); (F.A.); (M.P.M.); (S.I.)
| | - Carlo Maria Dellino
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (C.M.D.); (G.P.)
| | - Raffaella Motta
- Unit of Radiology, Department of Medicine, Medical School, University of Padua, 35122 Padua, Italy;
| | - Martina Perazzolo Marra
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani 2, 35128 Padova, Italy; (G.M.); (F.A.); (M.P.M.); (S.I.)
| | - Santo Dellegrottaglie
- Division of Cardiology, Ospedale Medico-Chirurgico Accreditato Villa dei Fiori, 80011 Acerra, Italy;
| | - Roberto Pedrinelli
- Cardiac, Thoracic and Vascular Department, University of Pisa, 56126 Pisa, Italy;
| | - Sabino Iliceto
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Giustiniani 2, 35128 Padova, Italy; (G.M.); (F.A.); (M.P.M.); (S.I.)
| | - Savina Nodari
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Institute of Cardiology, University of Brescia, 25123 Brescia, Italy;
| | - Pasquale Perrone Filardi
- Department of Advanced Biomedical Sciences, Federico II University of Naples, 80138 Naples, Italy;
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (S.M.); (C.M.D.); (G.P.)
- Department of Biomedical, Surgical and Sciences, University of Milan, 20122 Milan, Italy
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18
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Jaiswal V, Agrawal V, Khulbe Y, Hanif M, Huang H, Hameed M, Shrestha AB, Perone F, Parikh C, Gomez SI, Paudel K, Zacks J, Grubb KJ, De Rosa S, Gimelli A. Cardiac amyloidosis and aortic stenosis: a state-of-the-art review. EUROPEAN HEART JOURNAL OPEN 2023; 3:oead106. [PMID: 37941729 PMCID: PMC10630099 DOI: 10.1093/ehjopen/oead106] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 11/10/2023]
Abstract
Cardiac amyloidosis is caused by the extracellular deposition of amyloid fibrils in the heart, involving not only the myocardium but also any cardiovascular structure. Indeed, this progressive infiltrative disease also involves the cardiac valves and, specifically, shows a high prevalence with aortic stenosis. Misfolded protein infiltration in the aortic valve leads to tissue damage resulting in the onset or worsening of valve stenosis. Transthyretin cardiac amyloidosis and aortic stenosis coexist in patients > 65 years in about 4-16% of cases, especially in those undergoing transcatheter aortic valve replacement. Diagnostic workup for cardiac amyloidosis in patients with aortic stenosis is based on a multi-parametric approach considering clinical assessment, electrocardiogram, haematologic tests, basic and advanced echocardiography, cardiac magnetic resonance, and technetium labelled cardiac scintigraphy like technetium-99 m (99mTc)-pyrophosphate, 99mTc-3,3-diphosphono-1,2-propanodicarboxylic acid, and 99mTc-hydroxymethylene diphosphonate. However, a biopsy is the traditional gold standard for diagnosis. The prognosis of patients with coexisting cardiac amyloidosis and aortic stenosis is still under evaluation. The combination of these two pathologies worsens the prognosis. Regarding treatment, mortality is reduced in patients with cardiac amyloidosis and severe aortic stenosis after undergoing transcatheter aortic valve replacement. Further studies are needed to confirm these findings and to understand whether the diagnosis of cardiac amyloidosis could affect therapeutic strategies. The aim of this review is to critically expose the current state-of-art regarding the association of cardiac amyloidosis with aortic stenosis, from pathophysiology to treatment.
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Affiliation(s)
- Vikash Jaiswal
- Department of Cardiovascular Research, Larkin Community Hospital, South Miami, FL, USA
| | - Vibhor Agrawal
- Department of Medicine, King George’s Medical University, Lucknow, India
| | - Yashita Khulbe
- Department of Medicine, King George’s Medical University, Lucknow, India
| | - Muhammad Hanif
- Department of Internal Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Helen Huang
- University of Medicine and Health Science, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Maha Hameed
- Department of Internal Medicine, Florida State University, Sarasota Memorial Hospital, Sarasota, FL, USA
| | - Abhigan Babu Shrestha
- Department of Internal Medicine, M Abdur Rahim Medical College, Dinajpur, Bangladesh
| | - Francesco Perone
- Cardiac Rehabilitation Unit, Rehabilitation Clinic ‘Villa delle Magnolie’,81020 Castel Morrone, Caserta, Italy
| | | | - Sabas Ivan Gomez
- Department of Cardiovascular Research, Larkin Community Hospital, South Miami, FL, USA
| | - Kusum Paudel
- Department of Medicine, Kathmandu University School of Medical Science, Dhulikhel, Kathmandu 45209, Nepal
| | - Jerome Zacks
- Department of Cardiology, The Icahn Medical School at Mount Sinai, NewYork 10128, USA
| | - Kendra J Grubb
- Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Salvatore De Rosa
- Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Alessia Gimelli
- Department of Imaging, Fondazione Toscana/CNR Gabriele Monasterio, Pisa 56124, Italy
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19
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Kottam A, Hanneman K, Schenone A, Daubert MA, Sidhu GD, Gropler RJ, Garcia MJ. State-of-the-Art Imaging of Infiltrative Cardiomyopathies: A Scientific Statement From the American Heart Association. Circ Cardiovasc Imaging 2023; 16:e000081. [PMID: 37916407 DOI: 10.1161/hci.0000000000000081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Infiltrative cardiomyopathies comprise a broad spectrum of inherited or acquired conditions caused by deposition of abnormal substances within the myocardium. Increased wall thickness, inflammation, microvascular dysfunction, and fibrosis are the common pathological processes that lead to abnormal myocardial filling, chamber dilation, and disruption of conduction system. Advanced disease presents as heart failure and cardiac arrhythmias conferring poor prognosis. Infiltrative cardiomyopathies are often diagnosed late or misclassified as other more common conditions, such as hypertrophic cardiomyopathy, hypertensive heart disease, ischemic or other forms of nonischemic cardiomyopathies. Accurate diagnosis is also critical because clinical features, testing methodologies, and approach to treatment vary significantly even within the different types of infiltrative cardiomyopathies on the basis of the type of substance deposited. Substantial advances in noninvasive cardiac imaging have enabled accurate and early diagnosis. thereby eliminating the need for endomyocardial biopsy in most cases. This scientific statement discusses the role of contemporary multimodality imaging of infiltrative cardiomyopathies, including echocardiography, nuclear and cardiac magnetic resonance imaging in the diagnosis, prognostication, and assessment of response to treatment.
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Vidal-Perez R, Brandão M, Zaher W, Casado-Arroyo R, Bouzas-Mosquera A, Fontes-Carvalho R, Vazquez-Rodriguez JM. Value of cardiac magnetic resonance on the risk stratification of cardiomyopathies. World J Cardiol 2023; 15:487-499. [PMID: 37900906 PMCID: PMC10600791 DOI: 10.4330/wjc.v15.i10.487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/18/2023] [Accepted: 09/27/2023] [Indexed: 10/24/2023] Open
Abstract
Cardiomyopathies represent a diverse group of heart muscle diseases with varying etiologies, presenting a diagnostic challenge due to their heterogeneous manifestations. Regular evaluation using cardiac imaging techniques is imperative as symptoms can evolve over time. These imaging approaches are pivotal for accurate diagnosis, treatment planning, and optimizing prognostic outcomes. Among these, cardiovascular magnetic resonance (CMR) stands out for its ability to provide precise anatomical and functional assessments. This manuscript explores the significant contributions of CMR in the diagnosis and management of patients with cardiomyopathies, with special attention to risk stratification. CMR's high spatial resolution and tissue characterization capabilities enable early detection and differentiation of various cardiomyopathy subtypes. Additionally, it offers valuable insights into myocardial fibrosis, tissue viability, and left ventricular function, crucial parameters for risk stratification and predicting adverse cardiac events. By integrating CMR into clinical practice, clinicians can tailor patient-specific treatment plans, implement timely interventions, and optimize long-term prognosis. The non-invasive nature of CMR reduces the need for invasive procedures, minimizing patient discomfort. This review highlights the vital role of CMR in monitoring disease progression, guiding treatment decisions, and identifying potential complications in patients with cardiomyopathies. The utilization of CMR has significantly advanced our understanding and management of these complex cardiac conditions, leading to improved patient outcomes and a more personalized approach to care.
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Affiliation(s)
- Rafael Vidal-Perez
- Servicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), A Coruña 15006, Galicia, Spain.
| | - Mariana Brandão
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia 4434-502, Portugal
| | - Wael Zaher
- Department of Cardiology, Hôpital Erasme, Université Libre de Bruxelles, Brussels 1070, Brussels, Belgium
| | - Ruben Casado-Arroyo
- Department of Cardiology, Hôpital Erasme, Université Libre de Bruxelles, Brussels 1070, Brussels, Belgium
| | - Alberto Bouzas-Mosquera
- Servicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), A Coruña 15006, Galicia, Spain
| | - Ricardo Fontes-Carvalho
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia 4434-502, Portugal
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto 4200-319, Portugal
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21
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Brito D, Albrecht FC, de Arenaza DP, Bart N, Better N, Carvajal-Juarez I, Conceição I, Damy T, Dorbala S, Fidalgo JC, Garcia-Pavia P, Ge J, Gillmore JD, Grzybowski J, Obici L, Piñero D, Rapezzi C, Ueda M, Pinto FJ. World Heart Federation Consensus on Transthyretin Amyloidosis Cardiomyopathy (ATTR-CM). Glob Heart 2023; 18:59. [PMID: 37901600 PMCID: PMC10607607 DOI: 10.5334/gh.1262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 08/12/2023] [Indexed: 10/31/2023] Open
Abstract
Transthyretin amyloid cardiomyopathy (ATTR-CM) is a progressive and fatal condition that requires early diagnosis, management, and specific treatment. The availability of new disease-modifying therapies has made successful treatment a reality. Transthyretin amyloid cardiomyopathy can be either age-related (wild-type form) or caused by mutations in the TTR gene (genetic, hereditary forms). It is a systemic disease, and while the genetic forms may exhibit a variety of symptoms, a predominant cardiac phenotype is often present. This document aims to provide an overview of ATTR-CM amyloidosis focusing on cardiac involvement, which is the most critical factor for prognosis. It will discuss the available tools for early diagnosis and patient management, given that specific treatments are more effective in the early stages of the disease, and will highlight the importance of a multidisciplinary approach and of specialized amyloidosis centres. To accomplish these goals, the World Heart Federation assembled a panel of 18 expert clinicians specialized in TTR amyloidosis from 13 countries, along with a representative from the Amyloidosis Alliance, a patient advocacy group. This document is based on a review of published literature, expert opinions, registries data, patients' perspectives, treatment options, and ongoing developments, as well as the progress made possible via the existence of centres of excellence. From the patients' perspective, increasing disease awareness is crucial to achieving an early and accurate diagnosis. Patients also seek to receive care at specialized amyloidosis centres and be fully informed about their treatment and prognosis.
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Affiliation(s)
- Dulce Brito
- Department of Cardiology, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL@RISE, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Fabiano Castro Albrecht
- Dante Pazzanese Institute of Cardiology – Cardiac Amyloidosis Center Dante Pazzanese Institute, São Paulo, Brazil
| | | | - Nicole Bart
- St Vincent’s Hospital, Victor Chang Cardiac Research Institute, University of New South Wales, Sydney, Australia
| | - Nathan Better
- Cabrini Health, Malvern, Royal Melbourne Hospital, Parkville, Monash University and University of Melbourne, Victoria, Australia
| | | | - Isabel Conceição
- Department of Neurosciences and Mental Health, CHULN – Hospital de Santa Maria, Portugal
- Centro de Estudos Egas Moniz Faculdade de Medicina da Universidade de Lisboa Portugal, Portugal
| | - Thibaud Damy
- Department of Cardiology, DHU A-TVB, CHU Henri Mondor, AP-HP, INSERM U955 and UPEC, Créteil, France
- Referral Centre for Cardiac Amyloidosis, GRC Amyloid Research Institute, Reseau amylose, Créteil, France. Filière CARDIOGEN
| | - Sharmila Dorbala
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Cardiac Amyloidosis Program, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- CV imaging program, Cardiovascular Division and Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Pablo Garcia-Pavia
- Hospital Universitario Puerta de Hierro Majadahonda, IDIPHISA, CIBERCV, Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - Julian D. Gillmore
- National Amyloidosis Centre, University College London, Royal Free Campus, United Kingdom
| | - Jacek Grzybowski
- Department of Cardiomyopathy, National Institute of Cardiology, Warsaw, Poland
| | - Laura Obici
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Claudio Rapezzi
- Cardiovascular Institute, University of Ferrara, Ferrara, Italy
| | - Mitsuharu Ueda
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Japan
| | - Fausto J. Pinto
- Department of Cardiology, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL@RISE, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
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22
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Ioannou A, Patel RK, Martinez-Naharro A, Razvi Y, Porcari A, Rauf MU, Bolhuis RE, Fernando-Sayers J, Virsinskaite R, Bandera F, Kotecha T, Venneri L, Knight D, Manisty C, Moon J, Lachmann H, Whelan C, Kellman P, Hawkins PN, Gillmore JD, Wechalekar A, Fontana M. Tracking Treatment Response in Cardiac Light-Chain Amyloidosis With Native T1 Mapping. JAMA Cardiol 2023; 8:848-852. [PMID: 37466990 PMCID: PMC10357357 DOI: 10.1001/jamacardio.2023.2010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 04/28/2023] [Indexed: 07/20/2023]
Abstract
Importance Cardiac magnetic resonance (CMR) imaging-derived extracellular volume (ECV) mapping, generated from precontrast and postcontrast T1, accurately determines treatment response in cardiac light-chain amyloidosis. Native T1 mapping, which can be derived without the need for contrast, has demonstrated accuracy in diagnosis and prognostication, but it is unclear whether serial native T1 measurements could also track the cardiac treatment response. Objective To assess whether native T1 mapping can measure the cardiac treatment response and the association between changes in native T1 and prognosis. Design, Setting, and Participants This single-center cohort study evaluated patients diagnosed with cardiac light-chain amyloidosis (January 2016 to December 2020) who underwent CMR scans at diagnosis and a repeat scan following chemotherapy. Analysis took place between January 2016 and October 2022. Main Outcomes and Measures Comparison of biomarkers and cardiac imaging parameters between patients with a reduced, stable, or increased native T1 and association between changes in native T1 and mortality. Results The study comprised 221 patients (mean [SD] age, 64.7 [10.6] years; 130 male [59%]). At 6 months, 183 patients (mean [SD] age, 64.8 [10.5] years; 110 male [60%]) underwent repeat CMR imaging. Reduced native T1 of 50 milliseconds or more occurred in 8 patients (4%), all of whom had a good hematological response; by contrast, an increased native T1 of 50 milliseconds or more occurred in 42 patients (23%), most of whom had a poor hematological response (27 [68%]). At 12 months, 160 patients (mean [SD] age, 63.8 [11.1] years; 94 male [59%]) had a repeat CMR scan. A reduced native T1 occurred in 24 patients (15%), all of whom had a good hematological response, and was associated with a reduction in N-terminal pro-brain natriuretic peptide (median [IQR], 2638 [913-5767] vs 423 [128-1777] ng/L; P < .001), maximal wall thickness (mean [SD], 14.8 [3.6] vs 13.6 [3.9] mm; P = .009), and E/e' (mean [SD], 14.9 [6.8] vs 12.0 [4.0]; P = .007), improved longitudinal strain (mean [SD], -14.8% [4.0%] vs -16.7% [4.0%]; P = .004), and reduction in both myocardial T2 (mean [SD], 52.3 [2.9] vs 49.4 [2.0] milliseconds; P < .001) and ECV (mean [SD], 0.47 [0.07] vs 0.42 [0.08]; P < .001). At 12 months, an increased native T1 occurred in 24 patients (15%), most of whom had a poor hematological response (17 [71%]), and was associated with an increased N-terminal pro-brain natriuretic peptide (median [IQR], 1622 [554-5487] vs 3150 [1161-8745] ng/L; P = .007), reduced left ventricular ejection fraction (mean [SD], 65.8% [11.4%] vs 61.5% [12.4%]; P = .009), and an increase in both myocardial T2 (mean [SD], 52.5 [2.7] vs 55.3 [4.2] milliseconds; P < .001) and ECV (mean [SD], 0.48 [0.09] vs 0.56 [0.09]; P < .001). Change in myocardial native T1 at 6 months was independently associated with mortality (hazard ratio, 2.41 [95% CI, 1.36-4.27]; P = .003). Conclusions and Relevance Changes in native T1 in response to treatment, reflecting a composite of changes in T2 and ECV, are associated with in changes in traditional markers of cardiac response and associated with mortality. However, as a single-center study, these results require external validation in a larger cohort.
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Affiliation(s)
- Adam Ioannou
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Rishi K. Patel
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Ana Martinez-Naharro
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Yousuf Razvi
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Aldostefano Porcari
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
- Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Muhammad U. Rauf
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Roos E. Bolhuis
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Jacob Fernando-Sayers
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Ruta Virsinskaite
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Francesco Bandera
- Cardiology University Department, IRCCS Policlinico San Donato, Milan, Italy
| | - Tushar Kotecha
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Lucia Venneri
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Daniel Knight
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | | | - James Moon
- St Bartholomew’s Hospital, London, United Kingdom
| | - Helen Lachmann
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Carol Whelan
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Peter Kellman
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Philip N. Hawkins
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Julian D. Gillmore
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Ashutosh Wechalekar
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
| | - Marianna Fontana
- National Amyloidosis Centre, Royal Free Campus, University College London, London, United Kingdom
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23
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Dong T, Gilliland Y, Kramer CM, Theodore A, Desai M. Multimodality imaging of hypertrophic cardiomyopathy. Prog Cardiovasc Dis 2023; 80:14-24. [PMID: 37586654 DOI: 10.1016/j.pcad.2023.08.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 08/12/2023] [Indexed: 08/18/2023]
Abstract
The diagnosis and management of hypertrophic cardiomyopathy (HCM) requires multimodality imaging. Transthoracic echocardiogram (TTE) remains the first-line imaging modality to diagnose HCM identifying morphology and obstruction, which includes left ventricular outflow obstruction, midcavitary obstruction and systolic anterior motion. Cardiac magnetic resonance imaging (CMR) can adjudicate equivocal cases, rule out alternative diagnoses and evaluate for risk factors of sudden cardiac death. Imaging with TTE or transesophageal echocardiogram can also guide alcohol septal ablation or surgical myectomy respectively. Furthermore, TTE can guide medical management of these patients by following peak gradients. Thus, multimodality imaging in HCM is crucial throughout the course of these patients' care.
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Affiliation(s)
- Tiffany Dong
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Yvonne Gilliland
- Department of Cardiology, Ochsner Medical Center, New Orleans, LA, USA; The University of Queensland School of Medicine, Ochsner Clinical School, New Orleans, LA, USA
| | - Christopher M Kramer
- Cardiovascular Division, Department of Medicine, University of Virginia Health, Charlottesville, VA, USA
| | - Abraham Theodore
- Division of Cardiology, University of California San Francisco, San Francisco, CA, USA
| | - Milind Desai
- Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
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24
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Aquaro GD, Monastero S, Todiere G, Barison A, De Gori C, Grigoratos C, Parisella ML, Faggioni L, Cioni D, Lencioni R, Neri E. Diagnostic Role of Native T1 Mapping Compared to Conventional Magnetic Resonance Techniques in Cardiac Disease in a Real-Life Cohort. Diagnostics (Basel) 2023; 13:2461. [PMID: 37510205 PMCID: PMC10377876 DOI: 10.3390/diagnostics13142461] [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: 06/06/2023] [Revised: 07/03/2023] [Accepted: 07/23/2023] [Indexed: 07/30/2023] Open
Abstract
We sought to compare native T1 mapping to conventional late gadolinium enhancement (LGE) and T2-STIR techniques in a cohort of consecutive patients undergoing cardiac MRI (CMR). CMR was performed in 323 patients, 206 males (64%), mean age 54 ± 8 years, and in 27 age- and sex- matched healthy controls. In T2-STIR images, myocardial hyperintensity suggesting edema was found in 41 patients (27%). LGE images were positive in 206 patients (64%). T1 mapping was abnormal in 171 (49%). In 206 patients (64%), a matching between LGE and native T1 was found. T1 was abnormal in 32 out of 41 (78%) with edema in T2-STIR images. Overall, LGE and/or T2-STIR were abnormal in 209 patients, whereas native T1 was abnormal in 154 (52%). Conventional techniques and T1 mapping were concordant in 208 patients (64%). In 39 patients, T1 mapping was positive despite negative conventional techniques (12%). T1 mapping was able in conditions with diffuse myocardial damage such as cardiac amyloidosis, scleroderma, and Fabry disease (additive role in 42%). In contrast, T1 mapping was less effective in cardiac disease with regional distribution of myocardial damage such as myocardial infarction, HCM, and myocarditis. In conclusion, conventional LGE/T2-STIR and T1 mapping are complementary techniques and should be used together in every CMR examination.
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Affiliation(s)
- Giovanni Donato Aquaro
- Academic Radiology Unit, Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | | | - Giancarlo Todiere
- Academic Radiology Unit, Department of Translational Research and of New Technology in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy
| | - Andrea Barison
- Academic Radiology Unit, Department of Translational Research and of New Technology in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy
| | - Carmelo De Gori
- Academic Radiology Unit, Department of Translational Research and of New Technology in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy
| | - Crysanthos Grigoratos
- Academic Radiology Unit, Department of Translational Research and of New Technology in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy
| | | | | | - Dania Cioni
- Academic Radiology Unit, Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Riccardo Lencioni
- Academic Radiology Unit, Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Emanuele Neri
- Gabriele Monasterio CNR-Tuscany Foundation, 56127 Pisa, Italy
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25
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Yuan J, Wen Q, Wang H, Wang J, Liu K, Zhan S, Liu M, Gong Z, Tan W. The use of quantitative T1-mapping to identify cells and collagen fibers in rectal cancer. Front Oncol 2023; 13:1189334. [PMID: 37546428 PMCID: PMC10399696 DOI: 10.3389/fonc.2023.1189334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 06/30/2023] [Indexed: 08/08/2023] Open
Abstract
Aim This study aimed to explore the value of T1 mapping in assessing the grade and stage of rectal adenocarcinoma and its correlation with tumor tissue composition. Methods Informed consent was obtained from all rectal cancer patients after approval by the institutional review board. Twenty-four patients (14 women and 10 men; mean age, 64.46 years; range, 35 - 82 years) were enrolled in this prospective study. MRI examinations were performed using 3.0T MR scanner before surgery. HE, immunohistochemical, and masson trichrome-staining was performed on the surgically resected tumors to assess the degree of differentiation, stage, and invasion. Two radiologists independently analyzed native T1 and postcontrast T1 for each lesion, and calculated the extracellular volume (ECV) was calculated from T1 values. Intraclass correlation coefficient (ICC) and Bland-Altman plots were applied to analyze the interobserver agreement of native T1 values and postcontrast T1 values. Student's t-test and one-way analysis of variance (ANOVA) were used to test the differences between T1 mapping parameters and differentiation types, T and N stages, and venous and neural invasion. Pearson correlation coefficients were used to analyze the correlation of T1 mapping extraction parameters with caudal type homeobox 2 (CDX-2), Ki-67 index, and collagen expression. Results Both the native and postcontrast T1 values had an excellent interobserver agreement (ICC 0.945 and 0.942, respectively). Postcontrast T1 values indicated significant differences in venous invasion (t=2.497, p=0.021) and neural invasion (t=2.254, p=0.034). Pearson's correlation analysis showed a significant positive correlation between native T1 values and Ki-67 (r=-0.407, p=0.049). There was a significant positive correlation between ECV and collagen expression (r=0.811, p=.000) and a significant negative correlation between ECV and CDX-2 (r=-0.465, p=0.022) and Ki-67 (r=-0.549, p=0.005). Conclusion Postcontrast T1 value can be used to assess venous and neural invasion in rectal cancer. ECV measurements based on T1 mapping can be used to identify cells and collagen fibers in rectal cancer.
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Affiliation(s)
- Jie Yuan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qun Wen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hui Wang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiaoyan Wang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Kun Liu
- Department of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Songhua Zhan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Mengxiao Liu
- MR Scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd, Shanghai, China
| | - Zhigang Gong
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - WenLi Tan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
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26
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Endo Y, Kobayashi K, Shibo H, Amanuma M, Kuhara S. Using Dictionary Matching to Improve the Accuracy of MOLLI Myocardial T1 Analysis and Measurements of Heart Rate Variability. Magn Reson Med Sci 2023; 22:389-399. [PMID: 35732413 PMCID: PMC10449558 DOI: 10.2463/mrms.tn.2022-0013] [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: 01/17/2022] [Accepted: 04/29/2022] [Indexed: 11/09/2022] Open
Abstract
We analyzed modified Look-Locker inversion recovery (MOLLI) T1 measurements by applying a dictionary matching strategy and aimed to acquire T1 measurements more accurately than those acquired by the conventional three-parameter matching analysis. We particularly clarified the robustness of this method for measuring heart rate (HR) variability. A phantom experiment using a 3T MRI system was performed for various HRs. The ideal MOLLI signal corresponding to the scan parameter in the MRI experiment was simulated over a wide range of T1 values according to the dictionary. The unknown T1 values were determined by finding the simulated signals in the dictionary corresponding to the measured signals using pattern matching. The measured T1 values showed that the proposed analysis improved the accuracy of T1 measurements compared to those acquired by traditional analysis by up to 10%. In addition, the variability of measurements at several HRs was reduced by up to 100 ms.
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Affiliation(s)
- Yuta Endo
- Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka, Tokyo, Japan
| | - Kuninori Kobayashi
- Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka, Tokyo, Japan
| | - Haruna Shibo
- Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka, Tokyo, Japan
| | - Makoto Amanuma
- Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka, Tokyo, Japan
| | - Shigehide Kuhara
- Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka, Tokyo, Japan
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27
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Dong T, Faaborg-Andersen C, Garcia M, Blaha M, Klein AL, Gill E, Quintana RA. Multimodality cardiovascular imaging in hypertension. Curr Opin Cardiol 2023; 38:287-296. [PMID: 37115822 DOI: 10.1097/hco.0000000000001061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
PURPOSE OF THE REVIEW Hypertension accounts for the largest proportion of cardiovascular (CV) mortality worldwide and its prevalence continues to rise. While prominent CV societies have offered strong recommendations on the management of hypertension in adults, the role of noninvasive CV imaging in the evaluation of hypertensive patients remains incompletely defined. RECENT FINDINGS Noninvasive imaging is a rapidly expanding field with a growing number of sophisticated and readily applicable modalities to assess how cardiac structure and function changes after periods of sustained, elevated blood pressure. Echocardiography remains the initial modality to screen these patients while developments in nuclear, computed tomography and cardiac magnetic resonance complement and expand investigations for alternative diagnoses that may complement or conflict with the diagnosis of left ventricular hypertrophy. SUMMARY In this review article, we summarize the application of echocardiography, nuclear imaging, cardiac computed tomography, and cardiac magnetic resonance imaging in the evaluation and management of hypertensive heart disease.
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Affiliation(s)
- Tiffany Dong
- Center for the Diagnosis and Treatment of Pericardial Diseases, Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio
| | | | - Mariana Garcia
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
| | - Michael Blaha
- The Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore
| | - Allan L Klein
- Center for the Diagnosis and Treatment of Pericardial Diseases, Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio
| | - Edward Gill
- Cardiovascular Imaging Section, Division of Cardiology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Raymundo A Quintana
- Cardiovascular Imaging Section, Division of Cardiology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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28
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Bortolotto C, Messana G, Lo Tito A, Stella GM, Pinto A, Podrecca C, Bellazzi R, Gerbasi A, Agustoni F, Han F, Nickel MD, Zacà D, Filippi AR, Bottinelli OM, Preda L. The Role of Native T1 and T2 Mapping Times in Identifying PD-L1 Expression and the Histological Subtype of NSCLCs. Cancers (Basel) 2023; 15:3252. [PMID: 37370861 DOI: 10.3390/cancers15123252] [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: 05/06/2023] [Revised: 06/08/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
We investigated the association of T1/T2 mapping values with programmed death-ligand 1 protein (PD-L1) expression in lung cancer and their potential in distinguishing between different histological subtypes of non-small cell lung cancers (NSCLCs). Thirty-five patients diagnosed with stage III NSCLC from April 2021 to December 2022 were included. Conventional MRI sequences were acquired with a 1.5 T system. Mean T1 and T2 mapping values were computed for six manually traced ROIs on different areas of the tumor. Data were analyzed through RStudio. Correlation between T1/T2 mapping values and PD-L1 expression was studied with a Wilcoxon-Mann-Whitney test. A Kruskal-Wallis test with a post-hoc Dunn test was used to study the correlation between T1/T2 mapping values and the histological subtypes: squamocellular carcinoma (SCC), adenocarcinoma (ADK), and poorly differentiated NSCLC (PD). There was no statistically significant correlation between T1/T2 mapping values and PD-L1 expression in NSCLC. We found statistically significant differences in T1 mapping values between ADK and SCC for the periphery ROI (p-value 0.004), the core ROI (p-value 0.01), and the whole tumor ROI (p-value 0.02). No differences were found concerning the PD NSCLCs.
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Affiliation(s)
- Chandra Bortolotto
- Diagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
- Radiology Institute, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Gaia Messana
- Diagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
| | - Antonio Lo Tito
- Diagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
| | - Giulia Maria Stella
- Unit of Respiratory Diseases, Department of Medical Sciences and Infective Diseases, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
- Department of Internal Medicine and Medical Therapeutics, University of Pavia, 27100 Pavia, Italy
| | - Alessandra Pinto
- Diagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
| | - Chiara Podrecca
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy
| | - Alessia Gerbasi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy
| | - Francesco Agustoni
- Department of Medical Oncology, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Fei Han
- MR Application Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052 Erlangen, Germany
| | - Marcel Dominik Nickel
- MR Application Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052 Erlangen, Germany
| | | | - Andrea Riccardo Filippi
- Diagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
- Department of Radiation Oncology, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Olivia Maria Bottinelli
- Diagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
| | - Lorenzo Preda
- Diagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
- Radiology Institute, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
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de Oliveira Laterza Ribeiro M, Hueb W, Rezende PC, Lima EG, Nomura CH, Rochitte CE, da Silva Selistre L, Boros GAB, Ramires JAF, Filho RK. Myocardial tissue microstructure with and without stress-induced ischemia assessed by T1 mapping in patients with stable coronary artery disease. Clin Imaging 2023; 101:142-149. [PMID: 37348160 DOI: 10.1016/j.clinimag.2023.06.004] [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: 02/06/2023] [Revised: 04/28/2023] [Accepted: 06/05/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Stress-induced myocardial ischemia seems not to be associated with cardiovascular events. However, its effects on myocardial tissue characteristics remain under debate. Thus, we sought to assess whether documented stress-induced ischemia is associated with changes in myocardial microstructure evaluated by magnetic resonance native T1 map and extracellular volume fraction (ECV). METHODS This is a single-center, analysis of the previously published MASS V Trial. Multivessel patients with a formal indication for myocardial revascularization and with documented stress-induced ischemia were included in this study. Native T1 and ECV values evaluated by cardiac magnetic resonance imaging of ischemic and nonischemic myocardial segments at rest and after stress were compared. Myocardial ischemia was detected by either nuclear scintigraphy or stress magnetic cardiac resonance protocol. RESULTS Between May 2012 and March 2014, 326 prospective patients were eligible for isolated CABG or PCI and 219 were included in the MASS V trial. All patients underwent resting cardiac magnetic resonance imaging. Of a total of 840 myocardial segments, 654 were nonischemic segments and 186 were ischemic segments. Native T1 and ECV values of ischemic segments were not significantly different from nonischemic segments, both at rest and after stress induction. In addition, native T1 and ECV values of myocardial segments supplied by vessels with obstructive lesions were similar to those supplied by nonobstructive ones. CONCLUSION AND RELEVANCE In this study, cardiac magnetic resonance identified similar T1 mapping values between ischemic and nonischemic myocardial segments. This finding suggests integrity and stability of myocardial tissue in the presence of stress-induced ischemia.
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Affiliation(s)
| | - Whady Hueb
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil.
| | - Paulo Cury Rezende
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Eduardo Gomes Lima
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Cesar Higa Nomura
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Carlos Eduardo Rochitte
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | | | - Gustavo André Boeing Boros
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Jose Antonio Franchini Ramires
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Roberto Kalil Filho
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
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Ioannou A, Fontana M, Gillmore JD. Patisiran for the Treatment of Transthyretin-mediated Amyloidosis with Cardiomyopathy. Heart Int 2023; 17:27-35. [PMID: 37456349 PMCID: PMC10339464 DOI: 10.17925/hi.2023.17.1.27] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 04/24/2023] [Indexed: 07/18/2023] Open
Abstract
Transthyretin (TTR) is a tetrameric protein, synthesized primarily by the liver, that acts as a physiological transport protein for retinol and thyroxine. TTR can misfold into pathogenic amyloid fibrils that deposit in the heart and nerves, causing a life-threatening transthyretin amyloidosis cardiomyopathy (ATTR-CM), and a progressive and debilitating polyneuropathy (ATTR-PN). Recent therapeutic advances have resulted in the development of drugs that reduce TTR production. Patisiran is a small interfering RNA that disrupts the complimentary mRNA and inhibits TTR synthesis, and is the first gene-silencing medication licensed for the treatment of ATTR amyloidosis. After encouraging results following the use of patisiran for the treatment of patients with ATTR-PN, there has been increasing interest in the use of patisiran for the treatment of ATTR-CM. Various studies have demonstrated improvements across a wide range of cardiac biomarkers following treatment with patisiran, and have changed the perception of ATTR-CM from being thought of as a terminal disease process, to now being regarded as a treatable disease. These successes represent a huge milestone and have the potential to revolutionize the landscape of treatment for ATTR-CM. However, the long-term safety of patisiran and how best to monitor cardiac response to treatment remain to be determined.
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Affiliation(s)
- Adam Ioannou
- National Amyloidosis Centre, University College London, Royal Free Campus, London, UK
| | - Marianna Fontana
- National Amyloidosis Centre, University College London, Royal Free Campus, London, UK
| | - Julian D Gillmore
- National Amyloidosis Centre, University College London, Royal Free Campus, London, UK
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Satyavolu B, Deitz J, Soman P. The Rise of Cardiac Amyloidosis Imaging. J Nucl Med Technol 2023; 51:129-132. [PMID: 37268321 DOI: 10.2967/jnmt.123.265635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/10/2023] [Indexed: 06/04/2023] Open
Affiliation(s)
- Bharadwaj Satyavolu
- Division of Cardiology and Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Joseph Deitz
- Division of Cardiology and Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Prem Soman
- Division of Cardiology and Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
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Melo RJL, Assunção AN, Morais TC, Nomura CH, Scanavacca MI, Martinelli-Filho M, Ramires FJA, Fernandes F, Ianni BM, Mady C, Rochitte CE. Detection of Early Diffuse Myocardial Fibrosis and Inflammation in Chagas Cardiomyopathy with T1 Mapping and Extracellular Volume. Radiol Cardiothorac Imaging 2023; 5:e220112. [PMID: 37404789 PMCID: PMC10316290 DOI: 10.1148/ryct.220112] [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: 06/03/2022] [Revised: 02/06/2023] [Accepted: 04/17/2023] [Indexed: 07/06/2023]
Abstract
Purpose To evaluate myocardial T1 mapping and extracellular volume (ECV) parameters in different stages of Chagas cardiomyopathy and determine whether they are predictive of disease severity and prognosis. Materials and Methods Prospectively enrolled participants (July 2013 to September 2016) underwent cine and late gadolinium enhancement (LGE) cardiac MRI and T1 mapping with a precontrast (native) or postcontrast modified Look-Locker sequence. The native T1 and ECV values were measured among subgroups that were based on disease severity (indeterminate, Chagas cardiomyopathy with preserved ejection fraction [CCpEF], Chagas cardiomyopathy with midrange ejection fraction [CCmrEF], and Chagas cardiomyopathy with reduced ejection fraction [CCrEF]). Cox proportional hazards regression and the Akaike information criterion were used to determine predictors of major cardiovascular events (cardioverter defibrillator implant, heart transplant, or death). Results In 107 participants (90 participants with Chagas disease [mean age ± SD, 55 years ± 11; 49 men] and 17 age- and sex-matched control participants), the left ventricular (LV) ejection fraction and the extent of focal and diffuse or interstitial fibrosis were correlated with disease severity. Participants with CCmrEF and participants with CCrEF showed significantly higher global native T1 and ECV values than participants in the indeterminate, CCpEF, and control groups (T1: 1072 msec ± 34 and 1073 msec ± 63 vs 1010 msec ± 41, 1005 msec ± 69, and 999 msec ± 46; ECV: 35.5% ± 3.6 and 35.0% ± 5.4 vs 25.3% ± 3.5, 28.2% ± 4.9, and 25.2% ± 2.2; both P < .001). Remote (LGE-negative areas) native T1 and ECV values were also higher (T1: 1056 msec ± 32 and 1071 msec ± 55 vs 1008 msec ± 41, 989 msec ± 96, and 999 msec ± 46; ECV: 30.2% ± 4.7 and 30.8% ± 7.4 vs 25.1% ± 3.5, 25.1% ± 3.7, and 25.0% ± 2.2; both P < .001). Abnormal remote ECV values (>30%) occurred in 12% of participants in the indeterminate group, which increased with disease severity. Nineteen combined outcomes were observed (median follow-up time: 43 months), and a remote native T1 value greater than 1100 msec was independently predictive of combined outcomes (hazard ratio, 12 [95% CI: 4.1, 34.2]; P < .001). Conclusion Myocardial native T1 and ECV values were correlated with Chagas disease severity and may serve as markers of myocardial involvement in Chagas cardiomyopathy that precede LGE and LV dysfunction.Keywords: MRI, Cardiac, Heart, Imaging Sequences, Chagas Cardiomyopathy Supplemental material is available for this article. © RSNA, 2023.
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Ro SK, Sato K, Ijuin S, Sela D, Fior G, Heinsar S, Kim JY, Chan J, Nonaka H, Lin ACW, Bassi GL, Platts DG, Obonyo NG, Suen JY, Fraser JF. Assessment and diagnosis of right ventricular failure-retrospection and future directions. Front Cardiovasc Med 2023; 10:1030864. [PMID: 37324632 PMCID: PMC10268009 DOI: 10.3389/fcvm.2023.1030864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 05/17/2023] [Indexed: 06/17/2023] Open
Abstract
The right ventricle (RV) has a critical role in hemodynamics and right ventricular failure (RVF) often leads to poor clinical outcome. Despite the clinical importance of RVF, its definition and recognition currently rely on patients' symptoms and signs, rather than on objective parameters from quantifying RV dimensions and function. A key challenge is the geometrical complexity of the RV, which often makes it difficult to assess RV function accurately. There are several assessment modalities currently utilized in the clinical settings. Each diagnostic investigation has both advantages and limitations according to its characteristics. The purpose of this review is to reflect on the current diagnostic tools, consider the potential technological advancements and propose how to improve the assessment of right ventricular failure. Advanced technique such as automatic evaluation with artificial intelligence and 3-dimensional assessment for the complex RV structure has a potential to improve RV assessment by increasing accuracy and reproducibility of the measurements. Further, noninvasive assessments for RV-pulmonary artery coupling and right and left ventricular interaction are also warranted to overcome the load-related limitations for the accurate evaluation of RV contractile function. Future studies to cross-validate the advanced technologies in various populations are required.
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Affiliation(s)
- Sun Kyun Ro
- Department of Thoracic and Cardiovascular Surgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Kei Sato
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Shinichi Ijuin
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Department of Emergency and Critical Care Medicine, Hyogo Emergency Medical Center, Kobe, Japan
| | - Declan Sela
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Gabriele Fior
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Silver Heinsar
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, QLD, Australia
- Department of Intensive Care, North Estonia Medical Centre, Tallinn, Estonia
| | - Ji Young Kim
- Department of Nuclear Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Jonathan Chan
- Division of Cardiology, The Prince Charles Hospital, Brisbane, QLD, Australia
- School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Hideaki Nonaka
- Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
| | - Aaron C. W. Lin
- Division of Cardiology, The Prince Charles Hospital, Brisbane, QLD, Australia
- School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Gianluigi Li Bassi
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, QLD, Australia
| | - David G. Platts
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Division of Cardiology, The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Nchafatso G. Obonyo
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Wellcome Trust Centre for Global Health Research, Imperial College London, London, United Kingdom
- Initiative to Develop African Research Leaders (IDeAL)/KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Jacky Y. Suen
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - John F. Fraser
- Critical Care Research Group, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, QLD, Australia
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Licordari R, Trimarchi G, Teresi L, Restelli D, Lofrumento F, Perna A, Campisi M, de Gregorio C, Grimaldi P, Calabrò D, Costa F, Versace AG, Micari A, Aquaro GD, Di Bella G. Cardiac Magnetic Resonance in HCM Phenocopies: From Diagnosis to Risk Stratification and Therapeutic Management. J Clin Med 2023; 12:jcm12103481. [PMID: 37240587 DOI: 10.3390/jcm12103481] [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: 03/12/2023] [Revised: 05/06/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is a genetic heart disease characterized by the thickening of the heart muscle, which can lead to symptoms such as chest pain, shortness of breath, and an increased risk of sudden cardiac death. However, not all patients with HCM have the same underlying genetic mutations, and some have conditions that resemble HCM but have different genetic or pathophysiological mechanisms, referred to as phenocopies. Cardiac magnetic resonance (CMR) imaging has emerged as a powerful tool for the non-invasive assessment of HCM and its phenocopies. CMR can accurately quantify the extent and distribution of hypertrophy, assess the presence and severity of myocardial fibrosis, and detect associated abnormalities. In the context of phenocopies, CMR can aid in the differentiation between HCM and other diseases that present with HCM-like features, such as cardiac amyloidosis (CA), Anderson-Fabry disease (AFD), and mitochondrial cardiomyopathies. CMR can provide important diagnostic and prognostic information that can guide clinical decision-making and management strategies. This review aims to describe the available evidence of the role of CMR in the assessment of hypertrophic phenotype and its diagnostic and prognostic implications.
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Affiliation(s)
- Roberto Licordari
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | - Giancarlo Trimarchi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Lucio Teresi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Davide Restelli
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Francesca Lofrumento
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Alessia Perna
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Mariapaola Campisi
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | - Cesare de Gregorio
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Patrizia Grimaldi
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Danila Calabrò
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
| | - Francesco Costa
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | | | - Antonio Micari
- Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy
| | - Giovanni Donato Aquaro
- Academic Radiology Unit, Department of Surgical Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Gianluca Di Bella
- Department of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy
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Kidoh M, Oda S, Takashio S, Kawano Y, Hayashi H, Morita K, Emoto T, Shigematsu S, Yoshimura F, Nakaura T, Nagayama Y, Matsuoka M, Ueda M, Tsujita K, Hirai T. Cardiac MRI-derived Extracellular Volume Fraction versus Myocardium-to-Lumen R1 Ratio at Postcontrast T1 Mapping for Detecting Cardiac Amyloidosis. Radiol Cardiothorac Imaging 2023; 5:e220327. [PMID: 37124644 PMCID: PMC10141336 DOI: 10.1148/ryct.220327] [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: 12/26/2022] [Revised: 03/02/2023] [Accepted: 03/14/2023] [Indexed: 05/02/2023]
Abstract
Purpose To evaluate the diagnostic performance of myocardium-to-lumen R1 (1/T1) ratio on postcontrast T1 maps for the detection of cardiac amyloidosis in a large patient sample. Materials and Methods This retrospective study included consecutive patients who underwent MRI-derived extracellular volume fraction (MRI ECV) analysis between March 2017 and July 2021 because of known or suspected heart failure or cardiomyopathy. Pre- and postcontrast T1 maps were generated using the modified Look-Locker inversion recovery sequence. Diagnostic performances of MRI ECV and myocardium-to-lumen R1 ratio on postcontrast T1 maps (a simplified index not requiring a native T1 map and hematocrit level data) for detecting cardiac amyloidosis were evaluated using the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. Results Of 352 patients (mean age, 63 years ± 16 [SD]; 235 men), 136 had cardiac amyloidosis. MRI ECV showed 89.0% (121 of 136; 95% CI: 82%, 94%) sensitivity and 98.6% (213 of 216; 95% CI: 96%, 100%) specificity for helping detect cardiac amyloidosis (cutoff value of 40% [AUC, 0.99 {95% CI: 0.97, 1.00}; P < .001]). Postcontrast myocardium-to-lumen R1 ratio showed 92.6% (126 of 136; 95% CI: 89%, 96%) sensitivity and 93.1% (201 of 216; 95% CI: 89%, 96%) specificity (cutoff value of 0.84 [AUC, 0.98 {95% CI: 0.95, 0.99}; P < .001]). There was no evidence of a difference in AUCs for each parameter (P = .10). Conclusion Postcontrast myocardium-to-lumen R1 ratio showed excellent diagnostic performance comparable to that of MRI ECV in the detection of cardiac amyloidosis.Keywords: MR Imaging, Cardiac, Heart, Cardiomyopathies Supplemental material is available for this article. © RSNA, 2023.
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Burrage MK, Lewis AJ, Miller JJJ. Functional and Metabolic Imaging in Heart Failure with Preserved Ejection Fraction: Promises, Challenges, and Clinical Utility. Cardiovasc Drugs Ther 2023; 37:379-399. [PMID: 35881280 PMCID: PMC10014679 DOI: 10.1007/s10557-022-07355-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/08/2022] [Indexed: 11/29/2022]
Abstract
Heart failure with preserved ejection fraction (HFpEF) is recognised as an increasingly prevalent, morbid and burdensome condition with a poor outlook. Recent advances in both the understanding of HFpEF and the technological ability to image cardiac function and metabolism in humans have simultaneously shone a light on the molecular basis of this complex condition of diastolic dysfunction, and the inflammatory and metabolic changes that are associated with it, typically in the context of a complex patient. This review both makes the case for an integrated assessment of the condition, and highlights that metabolic alteration may be a measurable outcome for novel targeted forms of medical therapy. It furthermore highlights how recent technological advancements and advanced medical imaging techniques have enabled the characterisation of the metabolism and function of HFpEF within patients, at rest and during exercise.
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Affiliation(s)
- Matthew K Burrage
- Oxford Centre for Clinical Cardiovascular Magnetic Resonance Research (OCMR); Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Andrew J Lewis
- Oxford Centre for Clinical Cardiovascular Magnetic Resonance Research (OCMR); Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
- Department of Physiology, Anatomy and Genetics, University of Oxford, Parks Road, Oxford, UK
| | - Jack J J. Miller
- Oxford Centre for Clinical Cardiovascular Magnetic Resonance Research (OCMR); Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
- Department of Physiology, Anatomy and Genetics, University of Oxford, Parks Road, Oxford, UK
- The PET Research Centre and The MR Research Centre, Aarhus University, Aarhus, Denmark
- Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford, UK
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Benjamin MM, Arora P, Munir MS, Darki A, Liebo M, Yu M, Syed MA, Kinno M. Association of Left Atrial Hemodynamics by Magnetic Resonance Imaging With Long-Term Outcomes in Patients With Cardiac Amyloidosis. J Magn Reson Imaging 2023; 57:1275-1284. [PMID: 35801623 DOI: 10.1002/jmri.28320] [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: 03/18/2022] [Revised: 06/10/2022] [Accepted: 06/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Left atrial (LA) function and strain patterns by magnetic resonance imaging (MRI) have been investigated as markers of several cardiovascular pathologies, including cardiac amyloidosis (CA). However, associations with clinical outcomes have not been investigated. PURPOSE To compare LA function and strain by MRI in CA patients to a matched cohort of patients without cardiovascular disease (CVD) and evaluate the association with long-term clinical outcomes in CA patients. STUDY TYPE Retrospective case control. POPULATION A total of 51 patients with CA and 51 age-, gender-, and race-matched controls without CVD who underwent MRI in sinus rhythm. FIELD STRENGTH/SEQUENCE ECG-gated balanced steady-state free precession sequence at 1.5 T. ASSESSMENT All measurements were completed by one investigator (M.M.B.). LA function and strain parameters were measured including LA indexed minimum and maximum volumes, LA reservoir (R), contractile (CT), and conduit (CD) strain. We compared groups after adjusting for age, hypertension, New York Heart Association class, modified staging system (troponin-I, BNP, estimated GFR) and left ventricular ejection fraction (LVEF) for an endpoint of all-cause mortality and a composite endpoint of heart failure hospitalization (HFH) or death. STATISTICAL TESTS Differences between groups were evaluated with t tests for continuous variables or χ2 tests for categorical variables. A multivariable regression model was used to assess the associations of the P values-two-sided tests-<0.05 were considered statistically significant. RESULTS CA patients with median follow up of 4.9 (8.5) months had significantly lower LA strain and higher LA volumes in comparison to the matched cohort. In the multivariable analysis, only LVEF was significantly associated with death while ƐCT (OR 0.6, CI: 0.41-0.89), indexed minimum LA volume (OR 1.06, CI: 1.02-1.13) and indexed maximum LA volume (OR 1.08, CI: 1.01-1.15) were significantly associated with the composite outcome of death or HFH. CONCLUSION In this retrospective study of CA patients, ƐCT and indexed minimum and maximum LA volumes were significantly associated with the composite outcome of death or HFH. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Mina M Benjamin
- Division of Cardiovascular Medicine, Loyola University Medical Center, Maywood, Illinois
| | - Punit Arora
- Department of Internal Medicine, Loyola University Medical Center, Maywood, Illinois, USA
| | - Muhammad S Munir
- Department of Internal Medicine, Loyola University Medical Center, Maywood, Illinois, USA
| | - Amir Darki
- Division of Cardiovascular Medicine, Loyola University Medical Center, Maywood, Illinois
| | - Max Liebo
- Department of Cardiology, Loyola University Chicago, Stritch School of Medicine, Loyola University Medical Center, Maywood, Illinois, USA
| | - Mingxi Yu
- Department of Cardiology, Loyola University Chicago, Stritch School of Medicine, Loyola University Medical Center, Maywood, Illinois, USA
| | - Mushabbar A Syed
- Division of Cardiovascular Medicine, Loyola University Medical Center, Maywood, Illinois
| | - Menhel Kinno
- Division of Cardiovascular Medicine, Loyola University Medical Center, Maywood, Illinois
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Scirpa R, Cittadini E, Mazzocchi L, Tini G, Sclafani M, Russo D, Imperatrice A, Tropea A, Autore C, Musumeci B. Risk stratification in transthyretin-related cardiac amyloidosis. Front Cardiovasc Med 2023; 10:1151803. [PMID: 37025682 PMCID: PMC10070959 DOI: 10.3389/fcvm.2023.1151803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/06/2023] [Indexed: 04/08/2023] Open
Abstract
Transthyretin related cardiac amyloidosis (TTR-CA) is an infiltrative cardiomyopathy that cause heart failure with preserved ejection fraction, mainly in aging people. Due to the introduction of a non invasive diagnostic algorithm, this disease, previously considered to be rare, is increasingly recognized. The natural history of TTR-CA includes two different stages: a presymptomatic and a symptomatic stage. Due to the availability of new disease-modifying therapies, the need to reach a diagnosis in the first stage has become impelling. While in variant TTR-CA an early identification of the disease may be obtained with a genetic screening in proband's relatives, in the wild-type form it represents a challenging issue. Once the diagnosis has been made, in order to identifying patients with a higher risk of cardiovascular events and death it is necessary to focus on risk stratification. Two prognostic scores have been proposed both based on biomarkers and laboratory findings. However, a multiparametric approach combining information from electrocardiogram, echocardiogram, cardiopulmonary exercise test and cardiac magnetic resonance may be warranted for a more comprehensive risk prediction. In this review, we aim at evaluating a step by step risk stratification, providing a clinical diagnostic and prognostic approach for the management of patients with TTR-CA.
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Affiliation(s)
- Riccardo Scirpa
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Edoardo Cittadini
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Lorenzo Mazzocchi
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Giacomo Tini
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
- Department of Cardiology, IRCCS San Raffaele Pisana, Rome, Italy
| | - Matteo Sclafani
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Domitilla Russo
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Andrea Imperatrice
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Alessandro Tropea
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Beatrice Musumeci
- Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
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Machine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis. Int J Mol Sci 2023; 24:ijms24065680. [PMID: 36982754 PMCID: PMC10051237 DOI: 10.3390/ijms24065680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/12/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Cardiac amyloidosis is an uncommon restrictive cardiomyopathy featuring an unregulated amyloid protein deposition that impairs organic function. Early cardiac amyloidosis diagnosis is generally delayed by indistinguishable clinical findings of more frequent hypertrophic diseases. Furthermore, amyloidosis is divided into various groups, according to a generally accepted taxonomy, based on the proteins that make up the amyloid deposits; a careful differentiation between the various forms of amyloidosis is necessary to undertake an adequate therapeutic treatment. Thus, cardiac amyloidosis is thought to be underdiagnosed, which delays necessary therapeutic procedures, diminishing quality of life and impairing clinical prognosis. The diagnostic work-up for cardiac amyloidosis begins with the identification of clinical features, electrocardiographic and imaging findings suggestive or compatible with cardiac amyloidosis, and often requires the histological demonstration of amyloid deposition. One approach to overcome the difficulty of an early diagnosis is the use of automated diagnostic algorithms. Machine learning enables the automatic extraction of salient information from “raw data” without the need for pre-processing methods based on the a priori knowledge of the human operator. This review attempts to assess the various diagnostic approaches and artificial intelligence computational techniques in the detection of cardiac amyloidosis.
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Roller FC, Schüßler A, Kremer N, Harth S, Kriechbaum SD, Wiedenroth CB, Guth S, Breithecker A, Richter M, Tello K, Seeger W, Mayer E, Krombach GA. Value of Right and Left Ventricular T1 and T2 Blood Pool Mapping in Patients with Chronic Thromboembolic Hypertension before and after Balloon Pulmonary Angioplasty. J Clin Med 2023; 12:jcm12062092. [PMID: 36983095 PMCID: PMC10052780 DOI: 10.3390/jcm12062092] [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: 02/04/2023] [Revised: 03/02/2023] [Accepted: 03/04/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Parametric imaging has taken a steep rise in recent years and non-cardiac applications are of increasing interest. Therefore, the aim of our study was to assess right (RV) and left ventricular (LV) blood pool T1 and T2 values in patients with chronic thromboembolic pulmonary hypertension (CTEPH) compared to control subjects and their correlation to pulmonary hemodynamic. METHODS 26 patients with CTEPH (mean age 64.8 years ± 12.8 SD; 15 female), who underwent CMR and right heart catheterization (RHC) before and 6-months after balloon pulmonary angioplasty (BPA), were retrospectively included. Ventricular blood pool values were measured, compared to control subjects (mean age 40.5 years ± 12.8 SD; 16 female) and correlated to invasive measures (CI, mPAP, PVR). RESULTS In both, control subjects and CTEPH patients, RVT1 and RVT2 were significantly reduced compared to LVT1 and LVT2. Compared to control subjects, RVT2 was significantly reduced in CTEPH patients (p = 0.0065) and increased significantly after BPA (p = 0.0048). Moreover, RVT2 was positively correlated with CI and negatively correlated with mPAP and PVR before (r = 0.5155, r = -0.2541, r = -0.4571) and after BPA (r = 0.4769, r = -0.2585, r = -0.4396). CONCLUSION Ventricular blood pool T2 mapping might be novel non-invasive CMR imaging marker for assessment of disease severity, prognosis, follow-up and even therapy monitoring in PH.
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Affiliation(s)
- Fritz C Roller
- Department of Diagnostic and Interventional Radiology, Justus-Liebig-University Giessen, Klinikstraße 33, 35392 Giessen, Germany
- German Center for Lung Research (DZL), 35392 Giessen, Germany
| | - Armin Schüßler
- Department of Diagnostic and Interventional Radiology, Justus-Liebig-University Giessen, Klinikstraße 33, 35392 Giessen, Germany
- German Center for Lung Research (DZL), 35392 Giessen, Germany
| | - Nils Kremer
- German Center for Lung Research (DZL), 35392 Giessen, Germany
- Department of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Institute for Lung Health (ILH), Cardio-Pulmonary Institute (CPI), 35392 Giessen, Germany
| | - Sebastian Harth
- Department of Diagnostic and Interventional Radiology, Justus-Liebig-University Giessen, Klinikstraße 33, 35392 Giessen, Germany
- German Center for Lung Research (DZL), 35392 Giessen, Germany
| | - Steffen D Kriechbaum
- Department of Cardiology, Kerckhoff Heart and Thorax Centre, 61231 Bad Nauheim, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Rhein-Main, 60323 Frankfurt am Main, Germany
| | - Christoph B Wiedenroth
- Department of Thoracic Surgery, Kerckhoff Heart and Thorax Centre, 61231 Bad Nauheim, Germany
| | - Stefan Guth
- Department of Thoracic Surgery, Kerckhoff Heart and Thorax Centre, 61231 Bad Nauheim, Germany
| | - Andreas Breithecker
- Department of Radiology, Kerckhoff Heart and Thorax Centre, 61231 Bad Nauheim, Germany
| | - Manuel Richter
- German Center for Lung Research (DZL), 35392 Giessen, Germany
- Department of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Institute for Lung Health (ILH), Cardio-Pulmonary Institute (CPI), 35392 Giessen, Germany
| | - Khodr Tello
- German Center for Lung Research (DZL), 35392 Giessen, Germany
- Department of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Institute for Lung Health (ILH), Cardio-Pulmonary Institute (CPI), 35392 Giessen, Germany
| | - Werner Seeger
- German Center for Lung Research (DZL), 35392 Giessen, Germany
- Department of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Institute for Lung Health (ILH), Cardio-Pulmonary Institute (CPI), 35392 Giessen, Germany
| | - Eckhard Mayer
- Department of Thoracic Surgery, Kerckhoff Heart and Thorax Centre, 61231 Bad Nauheim, Germany
| | - Gabriele A Krombach
- Department of Diagnostic and Interventional Radiology, Justus-Liebig-University Giessen, Klinikstraße 33, 35392 Giessen, Germany
- German Center for Lung Research (DZL), 35392 Giessen, Germany
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Ioannou A, Fontana M, Gillmore JD. RNA Targeting and Gene Editing Strategies for Transthyretin Amyloidosis. BioDrugs 2023; 37:127-142. [PMID: 36795354 PMCID: PMC9933836 DOI: 10.1007/s40259-023-00577-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2023] [Indexed: 02/17/2023]
Abstract
Transthyretin (TTR) is a tetrameric protein synthesized primarily by the liver. TTR can misfold into pathogenic ATTR amyloid fibrils that deposit in the nerves and heart, causing a progressive and debilitating polyneuropathy (PN) and life-threatening cardiomyopathy (CM). Therapeutic strategies, which are aimed at reducing ongoing ATTR amyloid fibrillogenesis, include stabilization of the circulating TTR tetramer or reduction of TTR synthesis. Small interfering RNA (siRNA) or antisense oligonucleotide (ASO) drugs are highly effective at disrupting the complementary mRNA and inhibiting TTR synthesis. Since their development, patisiran (siRNA), vutrisiran (siRNA) and inotersen (ASO) have all been licensed for treatment of ATTR-PN, and early data suggest these drugs may have efficacy in treating ATTR-CM. An ongoing phase 3 clinical trial will evaluate the efficacy of eplontersen (ASO) in the treatment of both ATTR-PN and ATTR-CM, and a recent phase 1 trial demonstrated the safety of novel in vivo CRISPR-Cas9 gene-editing therapy in patients with ATTR amyloidosis. Recent results from trials of gene silencer and gene-editing therapies suggest these novel therapeutic agents have the potential to substantially alter the landscape of treatment for ATTR amyloidosis. Their success has already changed the perception of ATTR amyloidosis from a universally progressive and fatal disease to one that is treatable through availability of highly specific and effective disease-modifying therapies. However, important questions remain including long-term safety of these drugs, potential for off-target gene editing, and how best to monitor the cardiac response to treatment.Kindly check and confirm the processed running title.This is correct.
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Affiliation(s)
- Adam Ioannou
- National Amyloidosis Centre, Royal Free Hospital, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK
| | - Marianna Fontana
- National Amyloidosis Centre, Royal Free Hospital, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK
| | - Julian D Gillmore
- National Amyloidosis Centre, Royal Free Hospital, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK.
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Lu J, Zhao P, Qiao J, Yang Z, Tang D, Zhou X, Huang L, Xia L. The major factor of left ventricular systolic dysfunction in patients with cardiac amyloidosis: Amyloid overload or microcirculation impairment? Front Cardiovasc Med 2023; 10:1096130. [PMID: 36776256 PMCID: PMC9909486 DOI: 10.3389/fcvm.2023.1096130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 01/12/2023] [Indexed: 01/27/2023] Open
Abstract
Purpose Amyloid overload and microcirculation impairment are both detrimental to left ventricular (LV) systolic function, while it is not clear which factor dominates LV functional remodeling in patients with cardiac amyloidosis (CA). The purpose of this study was to investigate the major factor of LV systolic dysfunction using cardiac magnetic resonance imaging. Materials and methods Forty CA patients and 20 healthy controls were included in this study. The CA group was divided into two subgroups by the left ventricular ejection fraction (LVEF): patients with reduced LVEF (LVEF < 50%, rLVEF), and patients with preserved LVEF (LVEF ≥ 50%, pLVEF). The scanning sequences included cine, native and post-contrast T1 mapping, rest first-pass perfusion and late gadolinium enhancement. Perfusion and mapping parameters were compared among the three groups. Correlation analysis was performed to evaluate the relationship between LVEF and mapping parameters, as well as the relationship between LVEF and perfusion parameters. Results Remarkably higher native T1 value was observed in the rLVEF patients than the pLVEF patients (1442.2 ± 85.8 ms vs. 1407.0 ± 93.9 ms, adjusted p = 0.001). The pLVEF patients showed significantly lower slope dividing baseline signal intensity (slope%BL; rLVEF vs. pLVEF, 55.1 ± 31.0 vs. 46.2 ± 22.3, adjusted p = 0.001) and a lower maximal signal intensity subtracting baseline signal intensity (MaxSI-BL; rLVEF vs. pLVEF, 43.5 ± 23.9 vs. 37.0 ± 18.6, adjusted p = 0.003) compared to the rLVEF patients. CA patients required more time to reach the maximal signal intensity than the controls did (all adjusted p < 0.01). There was no significant correlation between LVEF and first-pass perfusion parameters, while significant negative correlation was observed between LVEF and native T1 (r = -0.434, p = 0.005) in CA patients. Conclusion Amyloid overload in the myocardial interstitium may be the major factor of LV systolic dysfunction in CA patients, other than microcirculation impairment.
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Affiliation(s)
- Jianyao Lu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peijun Zhao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,The Department of MRI, First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Jinhan Qiao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhaoxia Yang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dazhong Tang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
| | - Lu Huang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Lu Huang, ✉
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Liming Xia, ✉
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Bentatou Z, Troalen T, Bernard M, Guye M, Pini L, Bartoli A, Jacquier A, Kober F, Rapacchi S. Simultaneous multi-slice T1 mapping using MOLLI with blipped CAIPIRINHA bSSFP. Magn Reson Imaging 2023; 95:90-102. [PMID: 32304799 DOI: 10.1016/j.mri.2020.03.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/02/2020] [Accepted: 03/25/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND This study evaluates the possibility for replacing conventional 3 slices, 3 breath-holds MOLLI cardiac T1 mapping with single breath-hold 3 simultaneous multi-slice (SMS3) T1 mapping using blipped-CAIPIRINHA SMS-bSSFP MOLLI sequence. As a major drawback, SMS-bSSFP presents unique artefacts arising from side-lobe slice excitations that are explained by imperfect RF modulation rendering and bSSFP low flip angle enhancement. Amplitude-only RF modulation (AM) is proposed to reduce these artefacts in SMS-MOLLI compared to conventional Wong multi-band RF modulation (WM). MATERIALS AND METHODS Phantoms and ten healthy volunteers were imaged at 1.5 T using a modified blipped-CAIPIRINHA SMS-bSSFP MOLLI sequence with 3 simultaneous slices. WM-SMS3 and AM-SMS3 were compared to conventional single-slice (SMS1) MOLLI. First, SNR degradation and T1 accuracy were measured in phantoms. Second, artefacts from side-lobe excitations were evaluated in a phantom designed to reproduce fat presence near the heart. Third, the occurrence of these artefacts was observed in volunteers, and their impact on T1 quantification was compared between WM-SMS3 and AM-SMS3 with conventional MOLLI as a reference. RESULTS In the phantom, larger slice gaps and slice thicknesses yielded higher SNR. There was no significant difference of T1 values between conventional MOLLI and SMS3-MOLLI (both WM and AM). Positive banding artefacts were identified from fat neighbouring the targeted FOV due to side-lobe excitations from WM and the unique bSSFP signal profile. AM RF pulses reduced these artefacts by 38%. In healthy volunteers, AM-SMS3-MOLLI showed similar artefact reduction compared to WM-SMS3-MOLLI (3 ± 2 vs 5 ± 3 corrupted LV segments out of 16). In-vivo native T1 values obtained from conventional MOLLI and AM-SMS3-MOLLI were equivalent in LV myocardium (SMS1-T1 = 935.5 ± 36.1 ms; AM-SMS3-T1 = 933.8 ± 50.2 ms; P = 0.436) and LV blood pool (SMS1-T1 = 1475.4 ± 35.9 ms; AM-SMS3-T1 = 1452.5 ± 70.3 ms; P = 0.515). Identically, no differences were found between SMS1 and SMS3 postcontrast T1 values in the myocardium (SMS1-T1 = 556.0 ± 19.7 ms; SMS3-T1 = 521.3 ± 28.1 ms; P = 0.626) and the blood (SMS1-T1 = 478 ± 65.1 ms; AM-SMS3-T1 = 447.8 ± 81.5; P = 0.085). CONCLUSIONS Compared to WM RF modulation, AM SMS-bSSFP MOLLI was able to reduce side-lobe artefacts considerably, providing promising results to image the three levels of the heart in a single breath hold. However, few artefacts remained even using AM-SMS-bSSFP due to residual RF imperfections. The proposed blipped-CAIPIRINHA MOLLI T1 mapping sequence provides accurate in vivo T1 quantification in line with those obtained with a single slice acquisition.
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Affiliation(s)
- Zakarya Bentatou
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France; Siemens Healthcare SAS, Saint-Denis, France.
| | | | | | - Maxime Guye
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France.
| | - Lauriane Pini
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France.
| | - Axel Bartoli
- APHM, Hôpital Universitaire Timone, Service de Radiologie, Marseille, France.
| | - Alexis Jacquier
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital Universitaire Timone, Service de Radiologie, Marseille, France.
| | - Frank Kober
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.
| | - Stanislas Rapacchi
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France.
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Tanaka H. Illustrative review of cardiac amyloidosis by multimodality imaging. Heart Fail Rev 2023; 28:113-122. [PMID: 35474404 DOI: 10.1007/s10741-022-10245-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/20/2022] [Indexed: 02/07/2023]
Abstract
Cardiac involvement in amyloidosis is characterized by the extracellular deposition of misfolded proteins in the heart with the pathognomonic histological property of green birefringence when viewed under cross-polarized light after staining with Congo red. Although considered a rare disease, recent data suggest that cardiac amyloidosis is underappreciated as a cause of common cardiac diseases or syndromes. The prognosis for transthyretin (TTR) amyloidosis (ATTR) amyloidosis is better than that for amyloid light-chain amyloidosis; however, it is not as good as for other etiologies heart failure. Although there is no proven therapy for patients with ATTR cardiomyopathy (ATTR-CM), tafamidis meglumine, a TTR stabilizer, a study in 2018 found it was associated with reductions in all-cause mortality and cardiovascular-related hospitalizations, as well as with a reduction in the decline in functional capacity and quality of life compared with a placebo for patients with ATTR-CM. As a result of these findings, tafamidis meglumine is currently the only drug approved for patients with both wild-type and variant ATTR-CM, and should be considered for patients whose survival can be reasonably expected. In addition, recent advances in cardiac imaging, diagnostic strategies, and therapies have improved so that interest has been growing in the diagnosis of ATTR-CM by means of non-invasive imaging modalities as a potential means for better management of patients with ATTR-CM. This article reviews the efficacy of non-invasive imaging, especially echocardiography, cardiac magnetic imaging, and 99mTc-pyrophosphate scintigraphy for diagnosis of cardiac amyloidosis.
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Affiliation(s)
- Hidekazu Tanaka
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
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Kreiniz N, Gertz MA. Bad players in AL amyloidosis in the current era of treatment. Expert Rev Hematol 2023; 16:33-49. [PMID: 36620914 PMCID: PMC9905376 DOI: 10.1080/17474086.2023.2166924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/06/2023] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Systemic AL amyloidosis (ALA) is a clonal plasma cell (PC) disease characterized by deposition of amyloid fibrils in different organs and tissues. Traditionally, the prognosis of ALA is poor and is primarily defined by cardiac involvement. The modern prognostic models are based on cardiac markers and free light chain difference (dFLC). Cardiac biomarkers have low specificity and are dependent on renal function, volume status, and cardiac diseases other than ALA. New therapies significantly improved the prognosis of the disease. The advancements in technologies - cardiac echocardiography (ECHO) and cardiac MRI (CMR), as well as new biological markers, relying on cardiac injury, inflammation, endothelial damage, and clonal and non-clonal PC markers are promising. AREAS COVERED An update on the prognostic significance of cardiac ALA, number of involved organs, response to treatment, including minimal residual disease (MRD), ECHO, MRI, and new biological markers will be discussed. The literature search was done in PubMed and Google Scholar, and the most recent and relevant data are included. EXPERT OPINION Prospective multicenter trials, evaluating multiple clinical and laboratory parameters, should be done to improve the risk assessment models in ALA in the modern era of therapy.
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Affiliation(s)
- Natalia Kreiniz
- Division of Hematology, Bnai Zion Medical Centre, Haifa, Israel
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
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Rempakos A, Papamichail A, Loritis K, Androulakis E, Lama N, Briasoulis A. Non-LGE Cardiac Magnetic Resonance Imaging in Patients with Cardiac Amyloidosis. Curr Pharm Des 2022; 29:CPD-EPUB-128195. [PMID: 36515044 DOI: 10.2174/1381612829666221212100114] [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: 06/23/2022] [Revised: 11/02/2022] [Accepted: 11/12/2022] [Indexed: 12/15/2022]
Abstract
Cardiac involvement is the leading cause of death in patients with cardiac amyloidosis. Early recognition is crucial as it can significantly change the course of the disease. Until now, the imaging modality of choice for diagnosing cardiac amyloidosis has been cardiac magnetic resonance imaging (CMR) with late gadolinium enhancement (LGE). LGE-CMR in patients with cardiac amyloidosis reveals characteristic LGE patterns that lead to a diagnosis while also correlating well with disease prognosis. However, LGE-CMR has numerous drawbacks that the newer CMR modality, T1 mapping, aims to improve. T1 mapping can be further subdivided into native T1 mapping, which does not require the use of contrast, and ECV measurement, which requires the use of contrast. Numerous T1 mapping techniques have been developed, each one with its own advantages and disadvantages when it comes to procedure difficulty and image quality. A literature review to identify relevant published articles was performed by two authors. This review aimed to present the value of T1 mapping in diagnosing cardiac amyloidosis, quantifying the amyloid burden, and evaluating the prognosis of patients with amyloidosis with cardiac involvement.
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Affiliation(s)
- Athanasios Rempakos
- Medical School of Athens, National and Kapodistrian University of Athens, Athens, Greece
| | - Adamantia Papamichail
- Medical School of Athens, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Loritis
- Medical School of Athens, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Nikki Lama
- Medical School of Athens, National and Kapodistrian University of Athens, Athens, Greece
| | - Alexandros Briasoulis
- Medical School of Athens, National and Kapodistrian University of Athens, Athens, Greece
- Division of Cardiovascular Diseases, Section of Heart Failure and Transplant, University of Iowa College of Medicine, Iowa City, IA, USA
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47
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Bazmpani MA, Nikolaidou C, Papanastasiou CA, Ziakas A, Karamitsos TD. Cardiovascular Magnetic Resonance Parametric Mapping Techniques for the Assessment of Chronic Coronary Syndromes. J Cardiovasc Dev Dis 2022; 9:jcdd9120443. [PMID: 36547440 PMCID: PMC9782163 DOI: 10.3390/jcdd9120443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/29/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
The term chronic coronary syndromes encompasses a variety of clinical presentations of coronary artery disease (CAD), ranging from stable angina due to epicardial coronary artery disease to microvascular coronary dysfunction. Cardiac magnetic resonance (CMR) imaging has an established role in the diagnosis, prognostication and treatment planning of patients with CAD. Recent advances in parametric mapping CMR techniques have added value in the assessment of patients with chronic coronary syndromes, even without the need for gadolinium contrast administration. Furthermore, quantitative perfusion CMR techniques have enabled the non-invasive assessment of myocardial blood flow and myocardial perfusion reserve and can reliably identify multivessel coronary artery disease and microvascular dysfunction. This review summarizes the clinical applications and the prognostic value of the novel CMR parametric mapping techniques in the setting of chronic coronary syndromes and discusses their strengths, pitfalls and future directions.
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Affiliation(s)
- Maria Anna Bazmpani
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | | | - Christos A. Papanastasiou
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Antonios Ziakas
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Theodoros D. Karamitsos
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
- Correspondence: ; Tel.: +30-2310994832; Fax: +30-2310994673
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48
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Martinez-Naharro A, Patel R, Kotecha T, Karia N, Ioannou A, Petrie A, Chacko LA, Razvi Y, Ravichandran S, Brown J, Law S, Quarta C, Mahmood S, Wisniowski B, Pica S, Sachchithanantham S, Lachmann HJ, Moon JC, Knight DS, Whelan C, Venneri L, Xue H, Kellman P, Gillmore JD, Hawkins PN, Wechalekar AD, Fontana M. Cardiovascular magnetic resonance in light-chain amyloidosis to guide treatment. Eur Heart J 2022; 43:4722-4735. [PMID: 36239754 PMCID: PMC9712028 DOI: 10.1093/eurheartj/ehac363] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 05/26/2022] [Accepted: 06/14/2022] [Indexed: 01/05/2023] Open
Abstract
AIMS To assess the ability of cardiovascular magnetic resonance (CMR) to (i) measure changes in response to chemotherapy; (ii) assess the correlation between haematological response and changes in extracellular volume (ECV); and (iii) assess the association between changes in ECV and prognosis over and above existing predictors. METHODS AND RESULTS In total, 176 patients with cardiac AL amyloidosis were assessed using serial N-terminal pro-B-type natriuretic peptide (NT-proBNP), echocardiography, free light chains and CMR with T1 and ECV mapping at diagnosis and subsequently 6, 12, and 24 months after starting chemotherapy. Haematological response was graded as complete response (CR), very good partial response (VGPR), partial response (PR), or no response (NR). CMR response was graded by changes in ECV as progression (≥0.05 increase), stable (<0.05 change), or regression (≥0.05 decrease). At 6 months, CMR regression was observed in 3% (all CR/VGPR) and CMR progression in 32% (61% in PR/NR; 39% CR/VGPR). After 1 year, 22% had regression (all CR/VGPR), and 22% had progression (63% in PR/NR; 37% CR/VGPR). At 2 years, 38% had regression (all CR/VGPR), and 14% had progression (80% in PR/NR; 20% CR/VGPR). Thirty-six (25%) patients died during follow-up (40 ± 15 months); CMR response at 6 months predicted death (progression hazard ratio 3.82; 95% confidence interval 1.95-7.49; P < 0.001) and remained prognostic after adjusting for haematological response, NT-proBNP and longitudinal strain (P < 0.01). CONCLUSIONS Cardiac amyloid deposits frequently regress following chemotherapy, but only in patients who achieve CR or VGPR. Changes in ECV predict outcome after adjusting for known predictors.
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Affiliation(s)
- Ana Martinez-Naharro
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Rishi Patel
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Tushar Kotecha
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Nina Karia
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Adam Ioannou
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | | | - Liza A Chacko
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Yousuf Razvi
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Sriram Ravichandran
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - James Brown
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Steven Law
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Cristina Quarta
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Shameem Mahmood
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Brendan Wisniowski
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Silvia Pica
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Sajitha Sachchithanantham
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Helen J Lachmann
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - James C Moon
- Institute of Cardiovascular Science, University College London, London, UK
- Barts Heart Centre, West Smithfield, London, UK
| | - Daniel S Knight
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Carol Whelan
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Lucia Venneri
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Hui Xue
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Kellman
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Julian D Gillmore
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Philip N Hawkins
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Ashutosh D Wechalekar
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Marianna Fontana
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
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49
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Franssen WMJ, Treibel TA, Seraphim A, Weingärtner S, Terenzi C. Model-free phasor image analysis of quantitative myocardial T 1 mapping. Sci Rep 2022; 12:19840. [PMID: 36400794 PMCID: PMC9674690 DOI: 10.1038/s41598-022-23872-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022] Open
Abstract
Model-free phasor image analysis, well established in fluorescence lifetime imaging and only recently applied to qMRI [Formula: see text] data processing, is here adapted and validated for myocardial qMRI [Formula: see text] mapping. Contrarily to routine mono-exponential fitting procedures, phasor enables mapping the lifetime information from all image voxels to a single plot, without resorting to any regression fitting analysis, and describing multi-exponential qMRI decays without biases due to violated modelling assumptions. In this feasibility study, we test the performance of our recently developed full-harmonics phasor method for unravelling partial-volume effects, motion or pathological tissue alteration, respectively on a numerically-simulated dataset, a healthy subject scan, and two pilot patient datasets. Our results show that phasor analysis can be used, as alternative method to fitting analysis or other model-free approaches, to identify motion artifacts or partial-volume effects at the myocardium-blood interface as characteristic deviations, or delineations of scar and remote myocardial tissue in patient data.
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Affiliation(s)
- Wouter M. J. Franssen
- grid.4818.50000 0001 0791 5666Laboratory of Biophysics, Wageningen University and Research, Wageningen, The Netherlands
| | - Thomas A. Treibel
- grid.83440.3b0000000121901201Institute of Cardiovascular Science, University College London, London, UK ,grid.416353.60000 0000 9244 0345Department of Cardiology, St Bartholomew’s Hospital, Barts Health NHS Trust, London, UK
| | - Andreas Seraphim
- grid.83440.3b0000000121901201Institute of Cardiovascular Science, University College London, London, UK ,grid.416353.60000 0000 9244 0345Department of Cardiology, St Bartholomew’s Hospital, Barts Health NHS Trust, London, UK
| | - Sebastian Weingärtner
- grid.5292.c0000 0001 2097 4740Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Camilla Terenzi
- grid.4818.50000 0001 0791 5666Laboratory of Biophysics, Wageningen University and Research, Wageningen, The Netherlands
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50
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Jia X, Han X, Wang Y, He F, Zhou X, Zheng Y, Guo Y, Xu R, Liu J, Li Y, Gu J, Cao Y, Zhang C, Shi H. Cardiac magnetic resonance imaging parameters show association between myocardial abnormalities and severity of chronic kidney disease. Front Cardiovasc Med 2022; 9:1053122. [PMID: 36465471 PMCID: PMC9712745 DOI: 10.3389/fcvm.2022.1053122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 11/02/2022] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Chronic kidney disease patients have increased risk of cardiovascular abnormalities. This study investigated the relationship between cardiovascular abnormalities and the severity of chronic kidney disease using cardiac magnetic resonance imaging. METHODS We enrolled 84 participants with various stages of chronic kidney disease (group I: stages 1-3, n = 23; group II: stages 4-5, n = 20; group III: hemodialysis patients, n = 41) and 32 healthy subjects. The demographics and biochemical parameters of the study subjects were evaluated. All subjects underwent non-contrast cardiac magnetic resonance scans. Myocardial strain, native T1, and T2 values were calculated from the scanning results. Analysis of covariance was used to compare the imaging parameters between group I-III and the controls. RESULTS The left ventricular ejection fraction (49 vs. 56%, p = 0.021), global radial strain (29 vs. 37, p = 0.019) and global circumferential strain (-17.4 vs. -20.6, p < 0.001) were significantly worse in group III patients compared with the controls. Furthermore, the global longitudinal strain had a significant decline in group II and III patients compared with the controls (-13.7 and -12.9 vs. -16.2, p < 0.05). Compared with the controls, the native T1 values were significantly higher in group II and III patients (1,041 ± 7 and 1,053 ± 6 vs. 1,009 ± 6, p < 0.05), and T2 values were obviously higher in group I-III patients (49.9 ± 0.6 and 53.2 ± 0.7 and 50.1 ± 0.5 vs. 46.6 ± 0.5, p < 0.001). The advanced chronic kidney disease stage showed significant positive correlation with global radial strain (r = 0.436, p < 0.001), global circumferential strain (r = 0.386, p < 0.001), native T1 (r = 0.5, p < 0.001) and T2 (r = 0.467, p < 0.001) values. In comparison with the group II patients, hemodialysis patients showed significantly lower T2 values (53.2 ± 0.7 vs. 50.1 ± 0.5, p = 0.002), but no significant difference in T1 values (1,041 ± 7 vs. 1,053 ± 6). CONCLUSIONS Our study showed that myocardial strain, native T1, and T2 values progressively got worse with advancing chronic kidney disease stage. The increased T1 values and decreased T2 values of hemodialysis patients might be due to increasing myocardial fibrosis but with reduction in oedema following effective fluid management. TRIAL REGISTRATION NUMBER ChiCTR2100053561 (http://www.chictr.org.cn/edit.aspx?pid=139737&htm=4).
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Affiliation(s)
- Xi Jia
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xiaoyu Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yuqin Wang
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fangfang He
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyue Zhou
- MR Collaborations, Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China
| | - Yuting Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yingkun Guo
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Rong Xu
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jia Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yumin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jin Gu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yukun Cao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chun Zhang
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Heshui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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