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Zanfardino M, Punzo B, Maffei E, Saba L, Bossone E, Nistri S, La Grutta L, Franzese M, Cavaliere C, Cademartiri F. Unsupervised machine learning for risk stratification and identification of relevant subgroups of ascending aorta dimensions using cardiac CT and clinical data. Comput Struct Biotechnol J 2024; 23:287-294. [PMID: 38173875 PMCID: PMC10762320 DOI: 10.1016/j.csbj.2023.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/10/2023] [Accepted: 11/10/2023] [Indexed: 01/05/2024] Open
Abstract
The potential of precision population health lies in its capacity to utilize robust patient data for customized prevention and care targeted at specific groups. Machine learning has the potential to automatically identify clinically relevant subgroups of individuals, considering heterogeneous data sources. This study aimed to assess whether unsupervised machine learning (UML) techniques could interpret different clinical data to uncover clinically significant subgroups of patients suspected of coronary artery disease and identify different ranges of aorta dimensions in the different identified subgroups. We employed a random forest-based cluster analysis, utilizing 14 variables from 1170 (717 men/453 women) participants. The unsupervised clustering approach successfully identified four distinct subgroups of individuals with specific clinical characteristics, and this allows us to interpret and assess different ranges of aorta dimensions for each cluster. By employing flexible UML algorithms, we can effectively process heterogeneous patient data and gain deeper insights into clinical interpretation and risk assessment.
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Affiliation(s)
| | | | - Erica Maffei
- Department of Imaging, Fondazione Monasterio/CNR, Pisa, 56124, Italy
| | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, Cagliari, 09042, Italy
| | - Eduardo Bossone
- Department of Public Health, University of Naples Federico II, Naples, 80131, Italy
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Meloni A, Pistoia L, Putti MC, Longo F, Corigliano E, Ricchi P, Rossi V, Casini T, Righi R, Renne S, Peritore G, Barbuto L, Positano V, Cademartiri F. Pancreatic iron in pediatric transfusion-dependent beta-thalassemia patients: A longitudinal MRI study. Pediatr Blood Cancer 2024; 71:e30923. [PMID: 38385860 DOI: 10.1002/pbc.30923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/02/2024] [Accepted: 02/08/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND In pediatric transfusion-dependent thalassemia (TDT) patients, we evaluated the prevalence, pattern, and clinical associations of pancreatic siderosis and the changes in pancreatic iron levels and their association with baseline and changes in total body iron balance. PROCEDURE We considered 86 pediatric TDT patients consecutively enrolled in the Extension-Myocardial Iron Overload in Thalassemia Network. Iron overload (IO) was quantified by R2* magnetic resonance imaging (MRI). RESULTS Sixty-three (73%) patients had pancreatic IO (R2* > 38 Hz). Global pancreas R2* values were significantly correlated with mean serum ferritin levels, MRI liver iron concentration (LIC) values, and global heart R2* values. Global pancreas R2* values were significantly higher in patients with altered versus normal glucose metabolism. Thirty-one patients also performed the follow-up MRI at 18 ± 3 months. Higher pancreatic R2* values were detected at the follow-up, but the difference versus the baseline MRI was not significant. The 20% of patients with baseline pancreatic IO showed no pancreatic IO at the follow-up. The 46% of patients without baseline pancreatic IO developed pancreatic siderosis. The changes in global pancreas R2* between the two MRIs were not correlated with baseline serum ferritin levels, baseline, final, and changes in MRI LIC values, or baseline pancreatic iron levels. CONCLUSIONS In children with TDT, pancreatic siderosis is a frequent finding associated with hepatic siderosis and represents a risk factor for myocardial siderosis and alterations of glucose metabolism. Iron removal from the pancreas is exceptionally challenging and independent from hepatic iron status.
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Affiliation(s)
- Antonella Meloni
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Maria Caterina Putti
- Dipartimento della Salute della Donna e del Bambino, Clinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero-Università di Padova, Padua, Italy
| | - Filomena Longo
- Unità Operativa Day Hospital della Talassemia e delle Emoglobinopatie, Azienda Ospedaliero-Universitaria "S. Anna,", Cona, Ferrara, Italy
| | | | - Paolo Ricchi
- U.O.S.D. Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | | | - Tommaso Casini
- SOC Oncologia, Ematologia e Trapianto di Cellule Staminali Emopoietiche, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, Lagosanto, Ferrara, Italy
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero "Giovanni Paolo II,", Lamezia Terme, Italy
| | - Giuseppe Peritore
- Unità Operativa Complessa di Radiologia, "ARNAS" Civico, Di Cristina Benfratelli, Palermo, Italy
| | - Luigi Barbuto
- U.O.C. Radiologia Generale e di Pronto Soccorso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
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Carbone A, Baliga RR, Cademartiri F, Bossone E. Does coronary artery calcium screening help cardiovascular risk stratification in asymptomatic young patients with diabetes mellitus? A knowledge gap. Eur J Prev Cardiol 2024; 31:742-743. [PMID: 38445756 DOI: 10.1093/eurjpc/zwae101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 03/07/2024]
Affiliation(s)
- Andreina Carbone
- Cardiology Unit, University of Campania Luigi Vanvitelli, Naples, Italy
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Ragavendra R Baliga
- Division of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | - Eduardo Bossone
- Department of Public Health, University of Naples Federico II, Naples, Italy
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Besola L, Clemente A, Cademartiri F, Fiocco A, Gabbieri D, Colli A. Take nothing for granted: pictures of a fractured unbreakable valve. Eur J Cardiothorac Surg 2024:ezae149. [PMID: 38597893 DOI: 10.1093/ejcts/ezae149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/08/2024] [Indexed: 04/11/2024] Open
Affiliation(s)
- Laura Besola
- Cardiac Surgery Unit, Department of Surgical, Medical and Molecular Pathology and Critical Care, University of Pisa, Pisa, Italy
| | | | | | - Alessandro Fiocco
- Cardiac Surgery Unit, Department of Surgical, Medical and Molecular Pathology and Critical Care, University of Pisa, Pisa, Italy
| | | | - Andrea Colli
- Cardiac Surgery Unit, Department of Surgical, Medical and Molecular Pathology and Critical Care, University of Pisa, Pisa, Italy
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Meloni A, Pistoia L, Spasiano A, Cossu A, Casini T, Massa A, Bagnato S, Putti MC, Maffei S, Positano V, Pepe A, Cademartiri F, Vassalle C. Oxidative Stress and Antioxidant Status in Adult Patients with Transfusion-Dependent Thalassemia: Correlation with Demographic, Laboratory, and Clinical Biomarkers. Antioxidants (Basel) 2024; 13:446. [PMID: 38671894 DOI: 10.3390/antiox13040446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 03/26/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Iron overload in beta transfusion-dependent thalassemia (β-TDT) may provoke oxidative stress and reduction of the antioxidant defenses, with serious consequences for the disease course and complications. The present study evaluated the oxidant/antioxidant status of β-TDT patients and its correlation with demographic, clinical, laboratory, and instrumental biomarkers. The OXY-adsorbent assay and the d-ROMs (Diacron, Grosseto, Italy) were evaluated in 58 β-TDT patients (mean age: 37.55 ± 7.83 years, 28 females) enrolled in the Extension-Myocardial Iron Overload in Thalassemia Network. Iron overload was quantified with R2* magnetic resonance imaging. Mean OXY was 323.75 ± 113.19 μmol HClO/mL and 39 (67.2%) patients showed a decreased OXY-Adsorbent level (<350 μmol HClO/mL), of whom 22 (37.9%) showed severely reduced levels. Mean d-ROMs was 305.12 ± 62.19 UA; 12 (20.7%) patients showed oxidative stress, and 4 (6.9%) elevated oxidative stress. OXY showed a significant negative correlation with global and segmental cardiac iron levels. D-ROMs levels significantly correlated with markers of cardiovascular risk (aging, glycemia, and N-terminal pro-B-type natriuretic peptide). Antioxidant depletion is frequent in β-TDT patients, where OXY might serve as additive biomarker to assess heart iron status, whereas the d-ROMs might be helpful to assess the cardiovascular risk burden.
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Affiliation(s)
- Antonella Meloni
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
- Unità Operativa Complessa Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Anna Spasiano
- Unità Operativa Semplice, Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", 80131 Napoli, Italy
| | - Antonella Cossu
- Ambulatorio Trasfusionale-Servizio Immunoematologia e Medicina Trasfusionale, Dipartimento dei Servizi, Presidio Ospedaliero "San Francesco", 08100 Nuoro, Italy
| | - Tommaso Casini
- Oncologia, Ematologia e Trapianto di Cellule Staminali Emopoietiche, Meyer Children's Hospital IRCCS, 50139 Firenze, Italy
| | - Antonella Massa
- Servizio Trasfusionale, Ospedale "Giovanni Paolo II", 07026 Olbia, Italy
| | - Sergio Bagnato
- Ematologia Microcitemia, Ospedale San Giovanni di Dio-ASP Crotone, 88900 Crotone, Italy
| | - Maria Caterina Putti
- Dipartimento della Salute della Donna e del Bambino, Clinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero, Università di Padova, 35128 Padova, Italy
| | - Silvia Maffei
- Cardiovascular and Gynaecological Endocrinology Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, University of Padua, 35128 Padova, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Cristina Vassalle
- Medicina di Laboratorio, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
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Meloni A, Pistoia L, Ricchi P, Bagnato S, Longo F, Messina G, Bagnato S, Rossi V, Renne S, Righi R, Fina P, Positano V, Cademartiri F. Impact of genotype on multi-organ iron and complications in patients with non-transfusion-dependent β-thalassemia intermedia. Ann Hematol 2024:10.1007/s00277-024-05741-9. [PMID: 38581547 DOI: 10.1007/s00277-024-05741-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 03/30/2024] [Indexed: 04/08/2024]
Abstract
We evaluated the impact of the genotype on clinical and hematochemical features, hepatic and cardiac iron levels, and endocrine, hepatic, and cardiovascular complications in non-transfusion-dependent (NTD) β-thalassemia intermedia (TI) patients. Sixty patients (39.09 ± 11.11 years, 29 females) consecutively enrolled in the Myocardial Iron Overload in Thalassemia project underwent Magnetic Resonance Imaging to quantify iron overload, biventricular function parameters, and atrial areas and to detect replacement myocardial fibrosis. Three groups of patients were identified: homozygous β+ (N = 18), heterozygous β0β+ (N = 22), and homozygous β0 (N = 20). The groups were homogeneous for sex, age, splenectomy, hematochemical parameters, chelation therapy, and iron levels. The homozygous β° genotype was associated with significantly higher biventricular end-diastolic and end-systolic volume indexes and bi-atrial area indexes. No difference was detected in biventricular ejection fractions or myocardial fibrosis. Extramedullary hematopoiesis and leg ulcers were significantly more frequent in the homozygous β° group compared to the homozygous β+ group. No association was detected between genotype and liver cirrhosis, hypogonadism, hypothyroidism, osteoporosis, heart failure, arrhythmias, and pulmonary hypertension. Heart remodelling related to a high cardiac output state cardiomyopathy, extramedullary hematopoiesis, and leg ulcers were more pronounced in patients with the homozygous β° genotype compared to the other genotypes analyzed. The knowledge of the genotype can assist in the clinical management of NTD β-TI patients.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy
- U.O.C. Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Paolo Ricchi
- U.O.S.D. Malattie Rare del Globulo Rosso, Azienda Ospedaliera Di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | - Sergio Bagnato
- Ematologia Microcitemia, Ospedale San Giovanni di Dio - ASP Crotone, Crotone, Italy
| | - Filomena Longo
- Unità Operativa Day Hospital Della Talassemia E Delle Emoglobinopatie, Azienda Ospedaliero-Universitaria "S. Anna", Cona, FE, Italy
| | - Giuseppe Messina
- Centro Microcitemie, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Reggio Calabria, Italy
| | - Sabrina Bagnato
- U.O.S. Di Talassemia, Presidio Ospedaliero Lentini - ASP 8 Siracusa, Lentini, SR, Italy
| | | | - Stefania Renne
- Struttura Complessa Di Cardioradiologia-UTIC, Presidio Ospedaliero "Giovanni Paolo II", Lamezia Terme, Italy
| | - Riccardo Righi
- Diagnostica Per Immagini E Radiologia Interventistica, Ospedale del Delta, Lagosanto, FE, Italy
| | - Priscilla Fina
- Unità Operativa Complessa Diagnostica Per Immagini, Ospedale "Sandro Pertini", Rome, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy.
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Pontone G, Rossi A, Baggiano A, Andreini D, Conte E, Fusini L, Gebhard C, Rabbat MG, Guaricci A, Guglielmo M, Muscogiuri G, Mushtaq S, Al-Mallah MH, Berman DS, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Chun EJ, de Araújo Gonçalves P, Gottlieb I, Hadamitzky M, Kim YJ, Lee BK, Lee SE, Maffei E, Marques H, Samady H, Shin S, Sung JM, van Rosendael A, Virmani R, Bax JJ, Leipsic JA, Lin FY, Min JK, Narula J, Shaw LJ, Chang HJ. Progression of non-obstructive coronary plaque: a practical CCTA-based risk score from the PARADIGM registry. Eur Radiol 2024; 34:2665-2676. [PMID: 37750979 DOI: 10.1007/s00330-023-09880-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 03/27/2023] [Accepted: 04/14/2023] [Indexed: 09/27/2023]
Abstract
OBJECTIVES No clear recommendations are endorsed by the different scientific societies on the clinical use of repeat coronary computed tomography angiography (CCTA) in patients with non-obstructive coronary artery disease (CAD). This study aimed to develop and validate a practical CCTA risk score to predict medium-term disease progression in patients at a low-to-intermediate probability of CAD. METHODS Patients were part of the Progression of AtheRosclerotic PlAque Determined by Computed Tomographic Angiography Imaging (PARADIGM) registry. Specifically, 370 (derivation cohort) and 219 (validation cohort) patients with two repeat, clinically indicated CCTA scans, non-obstructive CAD, and absence of high-risk plaque (≥ 2 high-risk features) at baseline CCTA were included. Disease progression was defined as the new occurrence of ≥ 50% stenosis and/or high-risk plaque at follow-up CCTA. RESULTS In the derivation cohort, 104 (28%) patients experienced disease progression. The median time interval between the two CCTAs was 3.3 years (2.7-4.8). Odds ratios for disease progression derived from multivariable logistic regression were as follows: 4.59 (95% confidence interval: 1.69-12.48) for the number of plaques with spotty calcification, 3.73 (1.46-9.52) for the number of plaques with low attenuation component, 2.71 (1.62-4.50) for 25-49% stenosis severity, 1.47 (1.17-1.84) for the number of bifurcation plaques, and 1.21 (1.02-1.42) for the time between the two CCTAs. The C-statistics of the model were 0.732 (0.676-0.788) and 0.668 (0.583-0.752) in the derivation and validation cohorts, respectively. CONCLUSIONS The new CCTA-based risk score is a simple and practical tool that can predict mid-term CAD progression in patients with known non-obstructive CAD. CLINICAL RELEVANCE STATEMENT The clinical implementation of this new CCTA-based risk score can help promote the management of patients with non-obstructive coronary disease in terms of timing of imaging follow-up and therapeutic strategies. KEY POINTS • No recommendations are available on the use of repeat CCTA in patients with non-obstructive CAD. • This new CCTA score predicts mid-term CAD progression in patients with non-obstructive stenosis at baseline. • This new CCTA score can help guide the clinical management of patients with non-obstructive CAD.
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Affiliation(s)
- Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Andrea Baggiano
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Daniele Andreini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Edoardo Conte
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Laura Fusini
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Chaterine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Mark G Rabbat
- Division of Cardiology, Loyola University Chicago, Edward Hines Jr. VA Hospital, Hines, Chicago, IL, USA
| | - Andrea Guaricci
- Department of Emergency and Organ Transplantation, Institute of Cardiovascular Disease, University Hospital Policlinico of Bari, Bari, Italy
| | - Marco Guglielmo
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Giuseppe Muscogiuri
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA, USA
| | | | | | | | - Eun Ju Chun
- Seoul National University Bundang Hospital, Sungnam, South Korea
| | - Pedro de Araújo Gonçalves
- Unit of Cardiovascular Imaging, UNICA, Hospital da Luz, Lisbon, Portugal
- NOVA Medical School, Lisbon, Portugal
| | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Cardiovascular Center, Seoul, South Korea
| | - Byoung Kwon Lee
- Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
- Yonsei‑Cedars‑Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Erica Maffei
- Department of Radiology, Area Vasta 1/ASUR, Marche, Urbino, Italy
| | - Hugo Marques
- Unit of Cardiovascular Imaging, UNICA, Hospital da Luz, Lisbon, Portugal
| | - Habib Samady
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - Sanghoon Shin
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Ji Min Sung
- Yonsei‑Cedars‑Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Alexander van Rosendael
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Turku Heart Center, University of Turku, Turku University Hospital, Turku, Finland
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Fay Y Lin
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | | | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Leslee J Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Hyuk-Jae Chang
- Yonsei‑Cedars‑Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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Pistoia L, Meloni A, Positano V, Longo F, Borsellino Z, Spasiano A, Righi R, Renne S, Izzo D, Savino K, Mavrogeni S, Quaia E, Cademartiri F, Pepe A. Multiparametric Cardiac Magnetic Resonance Assessment in Sickle Beta Thalassemia. Diagnostics (Basel) 2024; 14:691. [PMID: 38611604 PMCID: PMC11012026 DOI: 10.3390/diagnostics14070691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/18/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
Cardiac involvement in sickle beta thalassemia (Sβ-thal) patients has been poorly investigated. We aimed to evaluate cardiac function and myocardial iron overload by cardiovascular magnetic resonance (CMR) in patients with Sβ-thal. One-hundred and eleven Sβ-thal patients consecutively enrolled in the Myocardial Iron Overload in Thalassemia (MIOT) network were studied and compared with 46 sickle cell anemia (SCA) patients and with 111 gender- and age- matched healthy volunteers. Cine images were acquired to quantify biventricular function. Myocardial iron overload (MIO) was assessed by the T2* technique, while macroscopic myocardial fibrosis was evaluated by the late gadolinium enhancement (LGE) technique. In Sβ-thal and SCA patients, the morphological and functional CMR parameters were not significantly different, except for the left atrial area and left ventricular (LV) stroke volume, indexed by body surface area (p = 0.023 and p = 0.048, respectively), which were significantly higher in SCA patients. No significant differences between the two groups were found in terms of myocardial iron overload and macroscopic myocardial fibrosis. When compared to healthy subjects, Sβ-thal patients showed significantly higher bi-atrial and biventricular parameters, except for LV ejection fraction, which was significantly lower. The CMR analysis confirmed that Sβ-thal and SCA patients are phenotypically similar. Since Sβ-thal patients showed markedly different morphological and functional indices from healthy subjects, it would be useful to identify Sβ-thal/SCA-specific bi-atrial and biventricular reference values.
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Affiliation(s)
- Laura Pistoia
- Unità Operativa Complessa Ricerca Clinica, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy;
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (F.C.)
| | - Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (F.C.)
- Bioengineering Unit, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (F.C.)
- Bioengineering Unit, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy
| | - Filomena Longo
- Unità Operativa Day Hospital della Talassemia e delle Emoglobinopatie, Azienda Ospedaliero-Universitaria “S. Anna”, 44124 Ferrara, Italy;
| | - Zelia Borsellino
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico “Benfratelli-Di Cristina”, 90134 Palermo, Italy;
| | - Anna Spasiano
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, 80131 Napoli, Italy;
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, 44023 Ferrara, Italy;
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero “Giovanni Paolo II”, 88046 Cosenza, Italy;
| | - Daniela Izzo
- Unità Operativa Complessa di Cardiologia-UTIC, Presidio Ospedaliero “D.ssa Anastasia Guerriero”, 81025 Caserta, Italy;
| | - Ketty Savino
- Sezione di Cardiologia e Fisiopatologia Cardiovascolare, Dipartimento di Medicina e Chirurgia, Università degli Studi di Perugia, 06132 Perugia, Italy;
| | | | - Emilio Quaia
- Istituto di Radiologia, Dipartimento di Medicina, Università di Padova, 35128 Padova, Italy;
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (F.C.)
| | - Alessia Pepe
- Istituto di Radiologia, Dipartimento di Medicina, Università di Padova, 35128 Padova, Italy;
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9
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Meloni A, Pistoia L, Ricchi P, Maggio A, Cecinati V, Longo F, Sorrentino F, Borsellino Z, Salvo A, Rossi V, Grassedonio E, Restaino G, Renne S, Righi R, Positano V, Cademartiri F. Prognostic Role of Multiparametric Cardiac Magnetic Resonance in Neo Transfusion-Dependent Thalassemia. J Clin Med 2024; 13:1281. [PMID: 38592121 PMCID: PMC10931742 DOI: 10.3390/jcm13051281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND We prospectively evaluated the predictive value of multiparametric cardiac magnetic resonance (CMR) for cardiovascular complications in non-transfusion-dependent β-thalassemia (β-NTDT) patients who started regular transfusions in late childhood/adulthood (neo β-TDT). METHODS We considered 180 patients (38.25 ± 11.24 years; 106 females). CMR was used to quantify cardiac iron overload, biventricular function, and atrial dimensions, and to detect left ventricular (LV) replacement fibrosis. RESULTS During a mean follow-up of 76.87 ± 41.60 months, 18 (10.0%) cardiovascular events were recorded: 2 heart failures, 13 arrhythmias (10 supraventricular), and 3 cases of pulmonary hypertension. Right ventricular (RV) end-diastolic volume index (EDVI), RV mass index (MI), LV replacement fibrosis, and right atrial (RA) area index emerged as significant univariate prognosticators of cardiovascular complications. The low number of events prevented us from performing a multivariable analysis including all univariable predictors simultaneously. Firstly, a multivariable analysis including the two RV size parameters (mass and volume) was carried out, and only the RV MI was proven to independently predict cardiovascular diseases. Then, a multivariable analysis, including RV MI, RA atrial area, and LV replacement fibrosis, was conducted. In this model, RV MI and LV replacement fibrosis emerged as independent predictors of cardiovascular outcomes (RV MI: hazard ratio (HR) = 1.18; LV replacement fibrosis: HR = 6.26). CONCLUSIONS Our results highlight the importance of CMR in cardiovascular risk stratification.
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Affiliation(s)
- Antonella Meloni
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
- Unità Operativa Complessa Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Paolo Ricchi
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, 80131 Napoli, Italy;
| | - Aurelio Maggio
- Ematologia II con Talassemia, Ospedale “V. Cervello”, 90100 Palermo, Italy;
| | - Valerio Cecinati
- Struttura Semplice di Microcitemia, Ospedale “SS. Annunziata”, 74123 Taranto, Italy;
| | - Filomena Longo
- Unità Operativa Day Hospital della Talassemia e delle Emoglobinopatie, Azienda Ospedaliero-Universitaria “S. Anna”, 44124 Cona, FE, Italy;
| | - Francesco Sorrentino
- Unità Operativa Semplice Dipartimentale Day Hospital Talassemici, Ospedale “Sant’Eugenio”, 00143 Rome, Italy;
| | - Zelia Borsellino
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico “Benfratelli-Di Cristina”, 90134 Palermo, Italy;
| | - Alessandra Salvo
- Operativa Semplice Talassemia, Presidio Ospedaliero “Umberto I”, 96100 Siracusa, Italy;
| | - Vincenza Rossi
- Unità Operativa Complessa Ematologia, Ospedale di Cosenza, 87100 Cosenza, Italy;
| | - Emanuele Grassedonio
- Sezione di Scienze Radiologiche, Dipartimento di Biopatologia e Biotecnologie Mediche, Policlinico “Paolo Giaccone”, 90127 Palermo, Italy;
| | - Gennaro Restaino
- Unità Operativa Complessa Radiodiagnostica, Gemelli Molise SpA, Fondazione di Ricerca e Cura “Giovanni Paolo II”, 86100 Campobasso, Italy;
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero “Giovanni Paolo II”, 88046 Lamezia Terme, CZ, Italy;
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, 44023 Lagosanto, FE, Italy;
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
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10
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Lee SE, Hong Y, Hong J, Jung J, Sung JM, Andreini D, Al-Mallah MH, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Chun EJ, Conte E, Gottlieb I, Hadamitzky M, Kim YJ, Lee BK, Leipsic JA, Maffei E, Marques H, Gonçalves PDA, Pontone G, Shin S, Stone PH, Samady H, Virmani R, Narula J, Shaw LJ, Bax JJ, Lin FY, Min JK, Chang HJ. Prediction of the development of new coronary atherosclerotic plaques with radiomics. J Cardiovasc Comput Tomogr 2024:S1934-5925(24)00032-7. [PMID: 38378314 DOI: 10.1016/j.jcct.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/01/2024] [Accepted: 02/12/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Radiomics is expected to identify imaging features beyond the human eye. We investigated whether radiomics can identify coronary segments that will develop new atherosclerotic plaques on coronary computed tomography angiography (CCTA). METHODS From a prospective multinational registry of patients with serial CCTA studies at ≥ 2-year intervals, segments without identifiable coronary plaque at baseline were selected and radiomic features were extracted. Cox models using clinical risk factors (Model 1), radiomic features (Model 2) and both clinical risk factors and radiomic features (Model 3) were constructed to predict the development of a coronary plaque, defined as total PV ≥ 1 mm3, at follow-up CCTA in each segment. RESULTS In total, 9583 normal coronary segments were identified from 1162 patients (60.3 ± 9.2 years, 55.7% male) and divided 8:2 into training and test sets. At follow-up CCTA, 9.8% of the segments developed new coronary plaque. The predictive power of Models 1 and 2 was not different in both the training and test sets (C-index [95% confidence interval (CI)] of Model 1 vs. Model 2: 0.701 [0.690-0.712] vs. 0.699 [0.0.688-0.710] and 0.696 [0.671-0.725] vs. 0.0.691 [0.667-0.715], respectively, all p > 0.05). The addition of radiomic features to clinical risk factors improved the predictive power of the Cox model in both the training and test sets (C-index [95% CI] of Model 3: 0.772 [0.762-0.781] and 0.767 [0.751-0.787], respectively, all p < 00.0001 compared to Models 1 and 2). CONCLUSION Radiomic features can improve the identification of segments that would develop new coronary atherosclerotic plaque. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov NCT0280341.
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Affiliation(s)
- Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, South Korea; CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea
| | - Youngtaek Hong
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea
| | - Jongsoo Hong
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea
| | - Juyeong Jung
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, South Korea
| | - Ji Min Sung
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea
| | - Daniele Andreini
- IRCCS Ospedale Galeazzi Sant'Ambrogio, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | | | | | | | - Eun Ju Chun
- Seoul National University Bundang Hospital, Seongnam, South Korea
| | | | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Byoung Kwon Lee
- Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Erica Maffei
- Department of Radiology, Area Vasta 1/ Azienda Sanitaria Unica Regionale (ASUR) Marche, Urbino, Italy
| | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisbon, Portugal
| | | | - Gianluca Pontone
- Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Dental and Surgical Sciences, University of Milan, Milan, Italy
| | - Sanghoon Shin
- Division of Cardiology, Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, South Korea
| | - Peter H Stone
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Habib Samady
- Georgia Heart Institute, Northeast Georgia Health System, Gainesville, GA, USA
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Jagat Narula
- University of Texas Health Houston, Houston, TX, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Fay Y Lin
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Hyuk-Jae Chang
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea.
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11
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Meloni A, Carnevale A, Gaio P, Positano V, Passantino C, Pepe A, Barison A, Todiere G, Grigoratos C, Novani G, Pistoia L, Giganti M, Cademartiri F, Cossu A. Liver T1 and T2 mapping in a large cohort of healthy subjects: normal ranges and correlation with age and sex. MAGMA 2024; 37:93-100. [PMID: 38019376 DOI: 10.1007/s10334-023-01135-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/05/2023] [Accepted: 10/20/2023] [Indexed: 11/30/2023]
Abstract
OBJECTIVE We established normal ranges for native T1 and T2 values in the human liver using a 1.5 T whole-body imager (General Electric) and we evaluated their variation across hepatic segments and their association with age and sex. MATERIALS AND METHODS One-hundred healthy volunteers aged 20-70 years (50% females) underwent MRI. Modified Look-Locker inversion recovery and multi-echo fast-spin-echo sequences were used to measure hepatic native global and segmental T1 and T2 values, respectively. RESULTS T1 and T2 values exhibited good intra- and inter-observer reproducibility (coefficient of variation < 5%). T1 value over segment 4 was significantly lower than the T1 values over segments 2 and 3 (p < 0.0001). No significant regional T2 variability was detected. Segmental and global T1 values were not associated with age or sex. Global T2 values were independent from age but were significantly lower in males than in females. The lower and upper limits of normal for global T1 values were, respectively, 442 ms and 705 ms. The normal range for global T2 values was 35 ms-54 ms in males and 39 ms-54 ms in females. DISCUSSION Liver T1 and T2 mapping is feasible and reproducible and the provided normal ranges may help to establish diagnosis and progression of various liver diseases.
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Affiliation(s)
- Antonella Meloni
- Radiology Department, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1-56124, Pisa, Italy
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Aldo Carnevale
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Paolo Gaio
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Vincenzo Positano
- Radiology Department, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1-56124, Pisa, Italy
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | | | - Alessia Pepe
- Institute of Radiology, University of Padua, Padua, Italy
| | - Andrea Barison
- Division of Cardiology and Cardiovascular Medicine, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Giancarlo Todiere
- Division of Cardiology and Cardiovascular Medicine, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Chrysanthos Grigoratos
- Division of Cardiology and Cardiovascular Medicine, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Giovanni Novani
- Radiology Department, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1-56124, Pisa, Italy
| | - Laura Pistoia
- Radiology Department, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1-56124, Pisa, Italy
- U.O.S.V.D. Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | | | - Filippo Cademartiri
- Radiology Department, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1-56124, Pisa, Italy.
| | - Alberto Cossu
- University Radiology Unit, University of Ferrara, Ferrara, Italy
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12
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Onnis C, Virmani R, Kawai K, Nardi V, Lerman A, Cademartiri F, Scicolone R, Boi A, Congiu T, Faa G, Libby P, Saba L. Coronary Artery Calcification: Current Concepts and Clinical Implications. Circulation 2024; 149:251-266. [PMID: 38227718 PMCID: PMC10794033 DOI: 10.1161/circulationaha.123.065657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Coronary artery calcification (CAC) accompanies the development of advanced atherosclerosis. Its role in atherosclerosis holds great interest because the presence and burden of coronary calcification provide direct evidence of the presence and extent of coronary artery disease; furthermore, CAC predicts future events independently of concomitant conventional cardiovascular risk factors and to a greater extent than any other noninvasive biomarker of this disease. Nevertheless, the relationship between CAC and the susceptibility of a plaque to provoke a thrombotic event remains incompletely understood. This review summarizes the current understanding and literature on CAC. It outlines the pathophysiology of CAC and reviews laboratory, histopathological, and genetic studies, as well as imaging findings, to characterize different types of calcification and to elucidate their implications. Some patterns of calcification such as microcalcification portend increased risk of rupture and cardiovascular events and may improve prognosis assessment noninvasively. However, contemporary computed tomography cannot assess early microcalcification. Limited spatial resolution and blooming artifacts may hinder estimation of degree of coronary artery stenosis. Technical advances such as photon counting detectors and combination with nuclear approaches (eg, NaF imaging) promise to improve the performance of cardiac computed tomography. These innovations may speed achieving the ultimate goal of providing noninvasively specific and clinically actionable information.
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Affiliation(s)
- Carlotta Onnis
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo di Monserrato s.s. 554 Monserrato (Cagliari) 09045, ITALY
| | - Renu Virmani
- Department of Cardiovascular Pathology, CVPath Institute, 19 Firstfield Road, Gaithersburg, MD
| | - Kenji Kawai
- Department of Cardiovascular Pathology, CVPath Institute, 19 Firstfield Road, Gaithersburg, MD
| | - Valentina Nardi
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN
| | - Amir Lerman
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN
| | | | - Roberta Scicolone
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo di Monserrato s.s. 554 Monserrato (Cagliari) 09045, ITALY
| | - Alberto Boi
- Department of Cardiology, Azienda Ospedaliera Brotzu, Cagliari Italy
| | - Terenzio Congiu
- Department of Pathology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Ospedale San Giovanni di Dio (Cagliari) 09100 ITALY
| | - Gavino Faa
- Department of Pathology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Ospedale San Giovanni di Dio (Cagliari) 09100 ITALY
| | - Peter Libby
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari – Polo di Monserrato s.s. 554 Monserrato (Cagliari) 09045, ITALY
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13
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van Rosendael AR, Crabtree T, Bax JJ, Nakanishi R, Mushtaq S, Pontone G, Andreini D, Buechel RR, Gräni C, Feuchtner G, Patel TR, Choi AD, Al-Mallah M, Nabi F, Karlsberg RP, Rochitte CE, Alasnag M, Hamdan A, Cademartiri F, Marques H, Kalra D, German DM, Gupta H, Hadamitzky M, Deaño RC, Khalique O, Knaapen P, Hoffmann U, Earls J, Min JK, Danad I. Rationale and design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) study. J Cardiovasc Comput Tomogr 2024; 18:11-17. [PMID: 37951725 PMCID: PMC10923095 DOI: 10.1016/j.jcct.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/28/2023] [Accepted: 10/08/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND In the last 15 years, large registries and several randomized clinical trials have demonstrated the diagnostic and prognostic value of coronary computed tomography angiography (CCTA). Advances in CT scanner technology and developments of analytic tools now enable accurate quantification of coronary artery disease (CAD), including total coronary plaque volume and low attenuation plaque volume. The primary aim of CONFIRM2, (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) is to perform comprehensive quantification of CCTA findings, including coronary, non-coronary cardiac, non-cardiac vascular, non-cardiac findings, and relate them to clinical variables and cardiovascular clinical outcomes. DESIGN CONFIRM2 is a multicenter, international observational cohort study designed to evaluate multidimensional associations between quantitative phenotype of cardiovascular disease and future adverse clinical outcomes in subjects undergoing clinically indicated CCTA. The targeted population is heterogenous and includes patients undergoing CCTA for atherosclerotic evaluation, valvular heart disease, congenital heart disease or pre-procedural evaluation. Automated software will be utilized for quantification of coronary plaque, stenosis, vascular morphology and cardiac structures for rapid and reproducible tissue characterization. Up to 30,000 patients will be included from up to 50 international multi-continental clinical CCTA sites and followed for 3-4 years. SUMMARY CONFIRM2 is one of the largest CCTA studies to establish the clinical value of a multiparametric approach to quantify the phenotype of cardiovascular disease by CCTA using automated imaging solutions.
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Affiliation(s)
| | | | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rine Nakanishi
- Department of Cardiovascular Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Daniele Andreini
- Division of University Cardiology, IRCCS Galeazzi Sant'Ambrogio, Department of Biomedical and Clinical Sciences, University of Milan, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University of Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Gudrun Feuchtner
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Toral R Patel
- Cardiology at Stroobants Heart and Vascular Institute and UVA Cardiology, Lynchburg, VA, United States of America
| | - Andrew D Choi
- Cardiology and Radiology, George Washington University, Washington, DC, United States of America
| | - Mouaz Al-Mallah
- Department of Cardiology, Houston Methodist, Houston, TX, United States of America
| | - Faisal Nabi
- Department of Cardiology, Houston Methodist, Houston, TX, United States of America
| | - Ronald P Karlsberg
- Cardiovascular Research Foundation of Southern California, Cedars Sinai Heart Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Carlos E Rochitte
- Heart Institute, InCor, University of São Paulo Medical School, São Paulo, Brazil
| | - Mirvat Alasnag
- Cardiac Center, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia
| | - Ashraf Hamdan
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
| | - Filippo Cademartiri
- Department of Imaging, Fondazione Monasterio/CNR, Pisa, Italy & SYNLAB IRCCS SDN, Naples, Italy
| | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa and Católica Medical School, Portugal
| | - Dinesh Kalra
- Division of Cardiology, Department of Medicine, University of Louisville School of Medicine, Louisville, KY, United States of America
| | - David M German
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States of America
| | - Himanshu Gupta
- Cardiac Imaging, Heart and Vascular Institute, Valley Health System, Ridgewood, NJ, United States of America
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Roderick C Deaño
- Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Omar Khalique
- Division of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY, United States of America
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Center, Location VUMC, Amsterdam, The Netherlands
| | - Udo Hoffmann
- Cleerly, Inc, Denver, CO, United States of America
| | - James Earls
- Cleerly, Inc, Denver, CO, United States of America
| | - James K Min
- Cleerly, Inc, Denver, CO, United States of America
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam University Medical Center, Location VUMC, Amsterdam, The Netherlands; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
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14
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Ricchi P, Meloni A, Pistoia L, Gamberini MR, Cuccia L, Allò M, Putti MC, Spasiano A, Rosso R, Cecinati V, Righi R, Renne S, Peritore G, Vallone A, Positano V, Quaia E, Cademartiri F, Pepe A. Longitudinal prospective comparison of pancreatic iron by magnetic resonance in thalassemia patients transfusion-dependent since early childhood treated with combination deferiprone-desferrioxamine vs deferiprone or deferasirox monotherapy. Blood Transfus 2024; 22:75-85. [PMID: 37146300 PMCID: PMC10812892 DOI: 10.2450/bloodtransfus.485] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/03/2023] [Indexed: 05/07/2023]
Abstract
BACKGROUND In transfusion-dependent thalassemia patients who started regular transfusions in early childhood, we prospectively and longitudinally evaluated the efficacy on pancreatic iron of a combined deferiprone (DFP) + desferrioxamine (DFO) regimen versus either oral iron chelator as monotherapy over a follow-up of 18 months. MATERIALS AND METHODS We selected patients consecutively enrolled in the Extension-Myocardial Iron Overload in Thalassemia network who received a combined regimen of DFO+DFP (No.=28) or DFP (No.=61) or deferasirox (DFX) (No.=159) monotherapy between the two magnetic resonance imaging scans. Pancreatic iron overload was quantified by the T2* technique. RESULTS At baseline no patient in the combined treatment group had a normal global pancreas T2* (≥26 ms). At follow-up the percentage of patients who maintained a normal pancreas T2* was comparable between the DFP and DFX groups (57.1 vs 70%; p=0.517).Among the patients with pancreatic iron overload at baseline, global pancreatic T2* values were significantly lower in the combined DFO+DFP group than in the DFP or DFX groups. Since changes in global pancreas T2* values were negatively correlated with baseline pancreas T2* values, the percent changes in global pancreas T2* values, normalized for the baseline values, were considered. The percent changes in global pancreas T2* values were significantly higher in the combined DFO+DFP group than in either the DFP (p=0.036) or DFX (p=0.030) groups. DISCUSSION In transfusion-dependent patients who started regular transfusions in early childhood, combined DFP+DFO was significantly more effective in reducing pancreatic iron than was either DFP or DFX.
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Affiliation(s)
- Paolo Ricchi
- U.O.S.D. Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, Naples, Italy
| | - Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Maria R. Gamberini
- Unità Operativa di Day Hospital della Talassemia e delle Emoglobinopatie, Dipartimento della Riproduzione e dell’Accrescimento, Azienda Ospedaliero-Universitaria “S. Anna”, Cona (FE), Italy
| | - Liana Cuccia
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico “Benfratelli-Di Cristina”, Palermo, Italy
| | - Massimo Allò
- Ematologia Microcitemia, Ospedale San Giovanni di Dio-ASP Crotone, Crotone, Italy
| | - Maria C. Putti
- Dipartimento della Salute della Donna e del Bambino, Clinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero-Università di Padova, Padua, Italy
| | - Anna Spasiano
- U.O.S.D. Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, Naples, Italy
| | - Rosamaria Rosso
- Unità Operativa Talassemie ed Emoglobinopatie Azienda Ospedaliero-Universitaria Policlinico “Vittorio Emanuele”, Catania, Italy
| | - Valerio Cecinati
- Struttura Semplice di Microcitemia, Ospedale “SS. Annunziata” ASL Taranto, Taranto, Italy
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, Lagosanto, Italy
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero “Giovanni Paolo II”, Lamezia Terme (CZ), Italy
| | - Giuseppe Peritore
- Unità Operativa Complessa di Radiologia, ARNAS Civico “Benfratelli-Di Cristina”, Palermo, Italy
| | - Antonino Vallone
- Reparto di Radiologia, Azienda Ospedaliera “Garibaldi” Presidio Ospedaliero Nesima, Catania, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Emilio Quaia
- Institute of Radiology, Department of Medicine, University of Padua, Padua, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, Padua, Italy
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Miller RJH, Gransar H, Rozanski A, Dey D, Al‐Mallah M, Chow BJW, Kaufmann PA, Cademartiri F, Maffei E, Han D, Slomka PJ, Berman DS. Simplified Approach to Predicting Obstructive Coronary Disease With Integration of Coronary Calcium: Development and External Validation. J Am Heart Assoc 2023; 12:e031601. [PMID: 38108259 PMCID: PMC10863788 DOI: 10.1161/jaha.123.031601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND The Diamond-Forrester model was used extensively to predict obstructive coronary artery disease (CAD) but overestimates probability in current populations. Coronary artery calcium (CAC) is a useful marker of CAD, which is not routinely integrated with other features. We derived simple likelihood tables, integrating CAC with age, sex, and cardiac chest pain to predict obstructive CAD. METHODS AND RESULTS The training population included patients from 3 multinational sites (n=2055), with 2 sites for external testing (n=3321). We determined associations between age, sex, cardiac chest pain, and CAC with the presence of obstructive CAD, defined as any stenosis ≥50% on coronary computed tomography angiography. Prediction performance was assessed using area under the receiver-operating characteristic curves (AUCs) and compared with the CAD Consortium models with and without CAC, which require detailed calculations, and the updated Diamond-Forrester model. In external testing, the proposed likelihood tables had higher AUC (0.875 [95% CI, 0.862-0.889]) than the CAD Consortium clinical+CAC score (AUC, 0.868 [95% CI, 0.855-0.881]; P=0.030) and the updated Diamond-Forrester model (AUC, 0.679 [95% CI, 0.658-0.699]; P<0.001). The calibration for the likelihood tables was better than the CAD Consortium model (Brier score, 0.116 versus 0.121; P=0.005). CONCLUSIONS We have developed and externally validated simple likelihood tables to integrate CAC with age, sex, and cardiac chest pain, demonstrating improved prediction performance compared with other risk models. Our tool affords physicians with the opportunity to rapidly and easily integrate a small number of important features to estimate a patient's likelihood of obstructive CAD as an aid to clinical management.
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Affiliation(s)
- Robert J. H. Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine)Imaging and Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesCA
- Libin Cardiovascular Institute of AlbertaUniversity of CalgaryCalgaryAlbertaCanada
| | - Heidi Gransar
- Departments of Medicine (Division of Artificial Intelligence in Medicine)Imaging and Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesCA
| | - Alan Rozanski
- Departments of Medicine (Division of Artificial Intelligence in Medicine)Imaging and Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesCA
- Division of Cardiology and Department of MedicineMount Sinai Morningside HospitalMount Sinai Heart and the Icahn School of Medicine at Mount SinaiNew YorkNY
| | - Damini Dey
- Departments of Medicine (Division of Artificial Intelligence in Medicine)Imaging and Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesCA
| | - Mouaz Al‐Mallah
- Houston Methodist DeBakey Heart and Vascular CenterHoustonTX
| | - Benjamin J. W. Chow
- Departments of Medicine (Cardiology and Nuclear Medicine) and RadiologyUniversity of Ottawa Heart InstituteOttawaOntarioCanada
| | - Philipp A. Kaufmann
- Department of Nuclear MedicineUniversity Hospital Zurich, University of ZurichZurichSwitzerland
| | | | - Erica Maffei
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) SYNLAB SDNNaplesItaly
| | - Donghee Han
- Departments of Medicine (Division of Artificial Intelligence in Medicine)Imaging and Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesCA
| | - Piotr J. Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine)Imaging and Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesCA
| | - Daniel S. Berman
- Departments of Medicine (Division of Artificial Intelligence in Medicine)Imaging and Biomedical SciencesCedars‐Sinai Medical CenterLos AngelesCA
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16
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Zanon C, Cademartiri F, Toniolo A, Bini C, Clemente A, Colacchio EC, Cabrelle G, Mastro F, Antonello M, Quaia E, Pepe A. Advantages of Photon-Counting Detector CT in Aortic Imaging. Tomography 2023; 10:1-13. [PMID: 38276249 PMCID: PMC10821336 DOI: 10.3390/tomography10010001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 01/27/2024] Open
Abstract
Photon-counting Computed Tomography (PCCT) is a promising imaging technique. Using detectors that count the number and energy of photons in multiple bins, PCCT offers several advantages over conventional CT, including a higher image quality, reduced contrast agent volume, radiation doses, and artifacts. Although PCCT is well established for cardiac imaging in assessing coronary artery disease, its application in aortic imaging remains limited. This review summarizes the available literature and provides an overview of the current use of PCCT for the diagnosis of aortic imaging, focusing mainly on endoleaks detection and characterization after endovascular aneurysm repair (EVAR), contrast dose volume, and radiation exposure reduction, particularly in patients with chronic kidney disease and in those requiring follow-up CT.
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Affiliation(s)
- Chiara Zanon
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | | | - Costanza Bini
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Elda Chiara Colacchio
- Vascular and Endovascular Surgery Section, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Giulio Cabrelle
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Florinda Mastro
- Division of Cardiac Surgery, University of Padua, 35128 Padua, Italy
| | - Michele Antonello
- Vascular and Endovascular Surgery Section, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy
| | - Emilio Quaia
- Department of Radiology, University of Padua, 35128 Padua, Italy
| | - Alessia Pepe
- Department of Radiology, University of Padua, 35128 Padua, Italy
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17
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Meloni A, Pistoia L, Vassalle C, Spasiano A, Fotzi I, Bagnato S, Putti MC, Cossu A, Massei F, Giovangrossi P, Maffei S, Positano V, Cademartiri F. Low Vitamin D Levels Are Associated with Increased Cardiac Iron Uptake in Beta-Thalassemia Major. Diagnostics (Basel) 2023; 13:3656. [PMID: 38132240 PMCID: PMC10742632 DOI: 10.3390/diagnostics13243656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023] Open
Abstract
We evaluated the association of vitamin D and parathormone (PTH) levels with cardiac iron and function in beta-thalassemia major (β-TM) patients. Two-hundred and seventy-eight TM patients (39.04 ± 8.58 years, 56.8% females) underwent magnetic resonance imaging for the assessment of iron overload (T2* technique), biventricular function parameters (cine images), and replacement myocardial fibrosis (late gadolinium enhancement technique). Vitamin D levels were deficient (<20 ng/dL) in 107 (38.5%) patients, insufficient (20-30 ng/dL) in 96 (34.5%) patients, and sufficient (≥30 ng/dL) in 75 (27.0%) patients. Deficient vitamin D patients had a significantly higher frequency of myocardial iron overload (MIO; global heart T2* < 20 ms) than patients with sufficient and insufficient vitamin D levels and a significantly higher left ventricular end-diastolic volume index and mass index than patients with sufficient vitamin D levels. PTH was not associated with cardiac iron, function, or fibrosis. In the multivariate regression analysis, vitamin D, serum ferritin, and pancreatic iron levels were the strongest predictors of global heart T2* values. In receiver operating characteristic curve analysis, a vitamin D level ≤ 17.3 ng/dL predicted MIO with a sensitivity of 81.5% and a specificity of 75.3% (p < 0.0001). In TM, the periodic and regular assessment of vitamin D levels can be beneficial for the prevention of cardiac iron accumulation and subsequent overt dysfunction.
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Affiliation(s)
- Antonella Meloni
- Bioengineering Unit, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy;
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy;
- Unità Operativa Complessa Ricerca Clinica, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy
| | - Cristina Vassalle
- Medicina di Laboratorio, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy;
| | - Anna Spasiano
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, 80131 Napoli, Italy;
| | - Ilaria Fotzi
- Oncologia, Ematologia e Trapianto di Cellule Staminali Emopoietiche, Meyer Children’s Hospital IRCCS, 50139 Firenze, Italy;
| | - Sergio Bagnato
- Ematologia Microcitemia, Ospedale San Giovanni di Dio—ASP Crotone, 88900 Crotone, Italy;
| | - Maria Caterina Putti
- Dipartimento della Salute della Donna e del Bambino, Clinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero Università di Padova, 35128 Padova, Italy;
| | - Antonella Cossu
- Ambulatorio Trasfusionale—Servizio Immunoematologia e Medicina Trasfusionale Dipartimento dei Servizi, Presidio Ospedaliero “San Francesco”, 08100 Nuoro, Italy;
| | - Francesco Massei
- Unità Operativa Oncoematologia Pediatrica, Azienda Ospedaliero Universitaria Pisana—Stabilimento S. Chiara, 56126 Pisa, Italy;
| | - Piera Giovangrossi
- Servizio di Immunoematologia e Medicina Trasfusionale, Ospedale S. M. Goretti, 04100 Latina, Italy;
| | - Silvia Maffei
- Cardiovascular and Gynaecological Endocrinology Unit, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy;
| | - Vincenzo Positano
- Bioengineering Unit, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy;
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR—Regione Toscana, 56124 Pisa, Italy;
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18
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Garzia S, Scarpolini MA, Mazzoli M, Capellini K, Monteleone A, Cademartiri F, Positano V, Celi S. Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI. Comput Methods Programs Biomed 2023; 242:107790. [PMID: 37708583 DOI: 10.1016/j.cmpb.2023.107790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 08/07/2023] [Accepted: 09/01/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND AND OBJECTIVE Phase contrast magnetic resonance imaging (4D flow MRI) is an imaging technique able to provide blood velocity in vivo and morphological information. This capability has been used to study mainly the hemodynamics of large vessels, such as the thoracic aorta. However, the segmentation of 4D flow MRI data is a complex and time-consuming task. In recent years, neural networks have shown great accuracy in segmentation tasks if large datasets are provided. Unfortunately, in the context of 4D flow MRI, the availability of these data is limited due to its recent adoption in clinical settings. In this study, we propose a pipeline for generating synthetic thoracic aorta phase contrast magnetic resonance angiography (PCMRA) to expand the limited dataset of patient-specific PCMRA images, ultimately improving the accuracy of the neural network segmentation even with a small real dataset. METHODS The pipeline involves several steps. First, a statistical shape model is used to synthesize new artificial geometries to improve data numerosity and variability. Secondly, computational fluid dynamics simulations are employed to simulate the velocity fields and, finally, after a downsampling and a signal-to-noise and velocity limit adjustment in both frequency and spatial domains, volumes are obtained using the PCMRA formula. These synthesized volumes are used in combination with real-world data to train a 3D U-Net neural network. Different settings of real and synthetic data are tested. RESULTS Incorporating synthetic data into the training set significantly improved the segmentation performance compared to using only real data. The experiments with synthetic data achieved a DICE score (DS) value of 0.83 and a better target reconstruction with respect to the case with only real data (DS = 0.65). CONCLUSION The proposed pipeline demonstrated the ability to increase the dataset in terms of numerosity and variability and to improve the segmentation accuracy for the thoracic aorta using PCMRA.
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Affiliation(s)
- Simone Garzia
- BioCardioLab, UOC Bioingegneria, Fondazione Toscana G Monasterio, Via Aurelia Sud, Massa, 54100, Italy; Department of Information Engineering, University of Pisa, Via Caruso, Pisa, 56122, Italy
| | - Martino Andrea Scarpolini
- BioCardioLab, UOC Bioingegneria, Fondazione Toscana G Monasterio, Via Aurelia Sud, Massa, 54100, Italy; Department of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico, Roma, 00133, Italy
| | - Marilena Mazzoli
- BioCardioLab, UOC Bioingegneria, Fondazione Toscana G Monasterio, Via Aurelia Sud, Massa, 54100, Italy; Department of Information Engineering, University of Pisa, Via Caruso, Pisa, 56122, Italy
| | - Katia Capellini
- BioCardioLab, UOC Bioingegneria, Fondazione Toscana G Monasterio, Via Aurelia Sud, Massa, 54100, Italy
| | - Angelo Monteleone
- Department of Radiology, Fondazione Toscana G Monasterio, Via Moruzzi, Pisa, 56122, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione Toscana G Monasterio, Via Moruzzi, Pisa, 56122, Italy
| | - Vincenzo Positano
- BioCardioLab, UOC Bioingegneria, Fondazione Toscana G Monasterio, Via Aurelia Sud, Massa, 54100, Italy
| | - Simona Celi
- BioCardioLab, UOC Bioingegneria, Fondazione Toscana G Monasterio, Via Aurelia Sud, Massa, 54100, Italy.
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19
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Gargani L, Pugliese NR, De Biase N, Mazzola M, Agoston G, Arcopinto M, Argiento P, Armstrong WF, Bandera F, Cademartiri F, Carbone A, Castaldo R, Citro R, Cocchia R, Codullo V, D'Alto M, D'Andrea A, Douschan P, Fabiani I, Ferrara F, Franzese M, Frumento P, Ghio S, Grünig E, Guazzi M, Kasprzak JD, Kolias T, Kovacs G, La Gerche A, Limogelli G, Marra AM, Matucci-Cerinic M, Mauro C, Moreo A, Pratali L, Ranieri B, Rega S, Rudski L, Saggar R, Salzano A, Serra W, Stanziola AA, Vannan MA, Voilliot D, Vriz O, Wierzbowska-Drabik K, Cittadini A, Naeije R, Bossone E. Exercise Stress Echocardiography of the Right Ventricle and Pulmonary Circulation. J Am Coll Cardiol 2023; 82:1973-1985. [PMID: 37968015 DOI: 10.1016/j.jacc.2023.09.807] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/25/2023] [Accepted: 09/05/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND Exercise echocardiography is used for assessment of pulmonary circulation and right ventricular function, but limits of normal and disease-specific changes remain insufficiently established. OBJECTIVES The objective of this study was to explore the physiological vs pathologic response of the right ventricle and pulmonary circulation to exercise. METHODS A total of 2,228 subjects were enrolled: 375 healthy controls, 40 athletes, 516 patients with cardiovascular risk factors, 17 with pulmonary arterial hypertension, 872 with connective tissue diseases without overt pulmonary hypertension, 113 with left-sided heart disease, 30 with lung disease, and 265 with chronic exposure to high altitude. All subjects underwent resting and exercise echocardiography on a semirecumbent cycle ergometer. All-cause mortality was recorded at follow-up. RESULTS The 5th and 95th percentile of the mean pulmonary artery pressure-cardiac output relationships were 0.2 to 3.5 mm Hg.min/L in healthy subjects without cardiovascular risk factors, and were increased in all patient categories and in high altitude residents. The 5th and 95th percentile of the tricuspid annular plane systolic excursion to systolic pulmonary artery pressure ratio at rest were 0.7 to 2.0 mm/mm Hg at rest and 0.5 to 1.5 mm/mm Hg at peak exercise, and were decreased at rest and exercise in all disease categories and in high-altitude residents. An increased all-cause mortality was predicted by a resting tricuspid annular plane systolic excursion to systolic pulmonary artery pressure <0.7 mm/mm Hg and mean pulmonary artery pressure-cardiac output >5 mm Hg.min/L. CONCLUSIONS Exercise echocardiography of the pulmonary circulation and the right ventricle discloses prognostically relevant differences between healthy subjects, athletes, high-altitude residents, and patients with various cardio-respiratory conditions. (Right Heart International NETwork During Exercise in Different Clinical Conditions; NCT03041337).
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Affiliation(s)
- Luna Gargani
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | | | - Nicolò De Biase
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Matteo Mazzola
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Gergely Agoston
- Institute of Family Medicine, University of Szeged, Szeged, Hungary
| | - Michele Arcopinto
- Department of Translational Medical Sciences, University of Naples "Federico II," Naples, Italy
| | - Paola Argiento
- Department of Cardiology, Monaldi Hospital - University "L. Vanvitelli," Naples, Italy
| | - William F Armstrong
- Division of Cardiovascular Medicine, University of Michigan Medical Center, Ann Arbor, Michigan, USA
| | - Francesco Bandera
- Heart Failure and Rehabilitation Cardiology Unit, IRCCS MultiMedica, Sesto San Giovanni, Milano, Italy; Department of Biomedical Sciences for Health, University of Milano, Milano, Italy
| | | | - Andreina Carbone
- Department of Cardiology, Monaldi Hospital - University "L. Vanvitelli," Naples, Italy
| | | | - Rodolfo Citro
- Cardio-Thoracic-Vascular Department, University Hospital "San Giovanni Di Dio E Ruggi D'Aragona," Salerno, Italy; Department of Vascular Pathophysiology, IRCCS Neuromed, Pozzilli, Isernia, Italy
| | | | - Veronica Codullo
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Michele D'Alto
- Department of Cardiology, Monaldi Hospital - University "L. Vanvitelli," Naples, Italy
| | - Antonello D'Andrea
- Department of Cardiology, Umberto I Hospital Nocera Inferiore, Nocera Inferiore, Italy
| | | | - Iacopo Fabiani
- Department of Imaging, Fondazione Monasterio/CNR, Pisa, Italy
| | - Francesco Ferrara
- Cardio-Thoracic-Vascular Department, University Hospital "San Giovanni Di Dio E Ruggi D'Aragona," Salerno, Italy
| | | | - Paolo Frumento
- Department of Political Sciences, University of Pisa, Pisa, Italy
| | - Stefano Ghio
- Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Ekkehard Grünig
- Center of Pulmonary Hypertension, Thoraxklinik Heidelberg at Heidelberg University Hospital, Heidelberg, Germany
| | - Marco Guazzi
- University of Milano School of Medicine, Department of Biological Sciences, Milano, Italy; San Paolo Hospital, Cardiology Division, Milano, Italy
| | - Jaroslaw D Kasprzak
- Department of Cardiology, Bieganski Hospital, Medical University of Lodz, Lodz, Poland
| | - Theodore Kolias
- Division of Cardiovascular Medicine, University of Michigan Medical Center, Ann Arbor, Michigan, USA
| | - Gabor Kovacs
- Medical University of Graz, Graz, Austria; Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria
| | - André La Gerche
- Department of Medicine, The University of Melbourne at St Vincent's Hospital, Fitzroy, Vicotria, Australia
| | - Giuseppe Limogelli
- Department of Cardiology, Monaldi Hospital - University "L. Vanvitelli," Naples, Italy
| | - Alberto Maria Marra
- Department of Translational Medical Sciences, University of Naples "Federico II," Naples, Italy
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, University of Florence, and Division of Rheumatology AOUC, Florence, Italy; Unit of Immunology, Rheumatology, Allergy and Rare diseases (UnIRAR), IRCCS San Raffaele Hospital, Milan, Italy
| | - Ciro Mauro
- Cardiology Division, "A. Cardarelli" Hospital, Naples, Italy
| | - Antonella Moreo
- A. De Gasperis Cardio Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Lorenza Pratali
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | | | - Salvatore Rega
- Department of Public Health, University of Naples "Federico II," Naples, Italy
| | - Lawrence Rudski
- Azrieli Heart Center and Center for Pulmonary Vascular Diseases, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - Rajan Saggar
- Lung & Heart-Lung Transplant and Pulmonary Hypertension Programs, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | | | - Walter Serra
- Cardiology Division, University Hospital, Parma, Italy
| | - Anna A Stanziola
- Department of Respiratory Diseases, Monaldi Hospital, University "Federico II," Naples, Italy
| | - Mani A Vannan
- Piedmont Heart Institute, Marcus Heart Valve Center, Atlanta, Georgia, USA
| | - Damien Voilliot
- Centre Hospitalier Lunéville, Service de Cardiologie, Lunéville, France
| | - Olga Vriz
- Heart Centre, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Karina Wierzbowska-Drabik
- Department of Internal Diseases and Clinical Pharmacology, Bieganski Hospital, Medical University of Lodz, Lodz, Poland
| | - Antonio Cittadini
- Department of Translational Medical Sciences, University of Naples "Federico II," Naples, Italy
| | | | - Eduardo Bossone
- Institute of Clinical Physiology, National Research Council, Pisa, Italy.
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20
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Meloni A, Pistoia L, Positano V, Spasiano A, Putti MC, Fotzi I, Corigliano E, Cossu A, Massa A, Massei F, Alberini G, Cademartiri F. Correlates of splenic T2* measurements in transfusion-dependent thalassaemia and comparison between non-splenectomised and splenectomised patients. Br J Haematol 2023; 203:e93-e97. [PMID: 37559348 DOI: 10.1111/bjh.19034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023]
Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.S.V.D. Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Anna Spasiano
- U.O.S.D. Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | - Maria Caterina Putti
- Dipartimento della Salute della Donna e del Bambino, Clinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero-Università di Padova, Padova, Italy
| | - Ilaria Fotzi
- SOC Oncologia, Ematologia e Trapianto di Cellule Staminali Emopoietiche, Meyer Children's Hospital IRCCS, Florence, Italy
| | | | - Antonella Cossu
- Ambulatorio Trasfusionale - Servizio Immunoematologia e Medicina Trasfusionale Dipartimento dei Servizi, Presidio Ospedaliero "San Francesco" ASL Nuoro, Nuoro, Italy
| | - Antonella Massa
- Servizio Trasfusionale, Ospedale "Giovanni Paolo II", Olbia, Italy
| | - Francesco Massei
- UO Oncoematologia Pediatrica, Azienda Ospedaliero Universitaria Pisana - Stabilimento S. Chiara, Pisa, Italy
| | - Gianna Alberini
- U.O.C. INFOTEL Translational BioInformatics and eHealth, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
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21
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Cardoso R, Choi AD, Shiyovich A, Besser SA, Min JK, Earls J, Andreini D, Al-Mallah MH, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Chun EJ, Conte E, Gottlieb I, Hadamitzky M, Kim YJ, Lee BK, Leipsic JA, Maffei E, Marques H, de Araújo Gonçalves P, Pontone G, Lee SE, Sung JM, Virmani R, Samady H, Lin FY, Stone PH, Berman DS, Narula J, Shaw LJ, Bax JJ, Chang HJ, Blankstein R. How early can atherosclerosis be detected by coronary CT angiography? Insights from quantitative CT analysis of serial scans in the PARADIGM trial. J Cardiovasc Comput Tomogr 2023; 17:407-412. [PMID: 37798157 DOI: 10.1016/j.jcct.2023.08.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 07/20/2023] [Accepted: 08/21/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND Non-obstructing small coronary plaques may not be well recognized by expert readers during coronary computed tomography angiography (CCTA) evaluation. Recent developments in atherosclerosis imaging quantitative computed tomography (AI-QCT) enabled by machine learning allow for whole-heart coronary phenotyping of atherosclerosis, but its diagnostic role for detection of small plaques on CCTA is unknown. METHODS We performed AI-QCT in patients who underwent serial CCTA in the multinational PARADIGM study. AI-QCT results were verified by a level III experienced reader, who was blinded to baseline and follow-up status of CCTA. This retrospective analysis aimed to characterize small plaques on baseline CCTA and evaluate their serial changes on follow-up imaging. Small plaques were defined as a total plaque volume <50 mm3. RESULTS A total of 99 patients with 502 small plaques were included. The median total plaque volume was 6.8 mm3 (IQR 3.5-13.9 mm3), most of which was non-calcified (median 6.2 mm3; 2.9-12.3 mm3). The median age at the time of baseline CCTA was 61 years old and 63% were male. The mean interscan period was 3.8 ± 1.6 years. On follow-up CCTA, 437 (87%) plaques were present at the same location as small plaques on baseline CCTA; 72% were larger and 15% decreased in volume. The median total plaque volume and non-calcified plaque volume increased to 18.9 mm3 (IQR 8.3-45.2 mm3) and 13.8 mm3 (IQR 5.7-33.4 mm3), respectively, among plaques that persisted on follow-up CCTA. Small plaques no longer visualized on follow-up CCTA were significantly more likely to be of lower volume, shorter in length, non-calcified, and more distal in the coronary artery, as compared with plaques that persisted at follow-up. CONCLUSION In this retrospective analysis from the PARADIGM study, small plaques (<50 mm3) identified by AI-QCT persisted at the same location and were often larger on follow-up CCTA.
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Affiliation(s)
- Rhanderson Cardoso
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Andrew D Choi
- Department of Cardiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Arthur Shiyovich
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephanie A Besser
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Ospedale Galeazzi Sant'Ambrogio, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | | | | | | | - Eun Ju Chun
- Seoul National University Bundang Hospital, Sungnam, South Korea
| | | | - Ilan Gottlieb
- Department of Radiology, Casa de Saude Sao Jose, Rio de Janeiro, Brazil
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong-Jin Kim
- Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Byoung Kwon Lee
- Gangnam Severance Hospital, Younsei University College of Medicine, Seoul, South Korea
| | - Jonathon A Leipsic
- Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, Canada
| | | | | | | | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University, Seoul, South Korea
| | - Ji Min Sung
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Habib Samady
- Georgia Heart Institute, Northeast Georgia Health System, Gainesville, GA, USA
| | - Fay Y Lin
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter H Stone
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel S Berman
- Department of Imaging, Cedars-Sinai Medical Center, Cedars-Sinai Heart Institute, Los Angeles, CA, USA
| | - Jagat Narula
- University of Texas Health Houston, Houston, TX, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeroen J Bax
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Hyuk-Jae Chang
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Ron Blankstein
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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22
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Meloni A, Barbuto L, Positano V, Pistoia L, Spasiano A, Casini T, Massei F, Argento C, Giovangrossi P, Barone A, Romano L, Cademartiri F. Pattern and clinical correlates of renal iron deposition in adult beta-thalassemia major patients. Clin Exp Med 2023; 23:3573-3579. [PMID: 37433990 DOI: 10.1007/s10238-023-01133-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/28/2023] [Indexed: 07/13/2023]
Abstract
We evaluated pattern and clinical correlates of renal T2* measurements in adult β-thalassemia major (β-TM) patients. Ninety β-TM patients (48 females, 38.15 ± 7.94 years), consecutively enrolled in the Extension-Myocardial Iron Overload in Thalassemia network, underwent T2* magnetic resonance imaging (MRI) for quantification of iron overload (IO) in kidneys, liver, pancreas, and heart. Ten (11.1%) patients showed renal IO (T2* < 31 ms). Global kidney T2* values did not show a correlation with gender, age, splenectomy, regular transfusions or chelation starting age, pre-transfusion hemoglobin, and serum ferritin levels. Global kidney T2* values showed an inverse correlation with MRI liver iron concentration (LIC) values (R = - 0.349; p = 0.001) and a positive correlation with global pancreas T2* values (R = 0.212; p = 0.045). Frequency of renal IO was significantly higher in patients with cardiac IO than in patients without cardiac IO (50.0% vs. 6.3%; p = 0.001). A significant inverse association was detected between global kidneys T2* values and lactate dehydrogenase (LDH) (R = - 0.529; p < 0.0001). In multivariate regression analysis, MRI LIC and LDH were the strongest predictors of global kidney T2* values. A MRI LIC > 4.83 mg/g dw predicted the presence of renal IO (sensitivity = 90.0%; specificity = 61.2%). Global kidney T2* values were inversely correlated with uric acid (R = - 0.269; p = 0.025). In conclusion, in adult β-TM patients, renal iron deposition is not common and is linked to both hemolysis and total body iron overload.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Luigi Barbuto
- U.O.C. Radiologia Generale E Di Pronto Soccorso, Azienda Ospedaliera Di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy
- U.O.S.V.D. Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Anna Spasiano
- U.O.S.D. Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | - Tommaso Casini
- S.O.C. Oncologia, Ematologia e Trapianto di Cellule Staminali Emopoietiche, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Francesco Massei
- U.O. Oncoematologia Pediatrica, Azienda Ospedaliero Universitaria Pisana - Stabilimento S. Chiara, Pisa, Italy
| | - Crocetta Argento
- Centro Di Talasssemia, Ospedale "San Giovanni Di Dio", Agrigento, Italy
| | - Piera Giovangrossi
- Servizio Di Immunoematologia E Medicina Trasfusionale, Ospedale S. M. Goretti, Latina, Italy
| | - Angelica Barone
- Unità Operativa di Pediatria e Oncoematologia - Dipartimento Materno-Infantile, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Luigia Romano
- U.O.C. Radiologia Generale E Di Pronto Soccorso, Azienda Ospedaliera Di Rilievo Nazionale "A. Cardarelli", Naples, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi, 1, 56124, Pisa, Italy.
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23
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Park HB, Arsanjani R, Sung JM, Heo R, Lee BK, Lin FY, Hadamitzky M, Kim YJ, Conte E, Andreini D, Pontone G, Budoff MJ, Gottlieb I, Chun EJ, Cademartiri F, Maffei E, Marques H, Gonçalves PDA, Leipsic JA, Lee SE, Shin S, Choi JH, Virmani R, Samady H, Chinnaiyan K, Stone PH, Berman DS, Narula J, Shaw LJ, Bax JJ, Min JK, Chang HJ. Impact of statins based on high-risk plaque features on coronary plaque progression in mild stenosis lesions: results from the PARADIGM study. Eur Heart J Cardiovasc Imaging 2023; 24:1536-1543. [PMID: 37232393 DOI: 10.1093/ehjci/jead110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/12/2023] [Accepted: 04/26/2023] [Indexed: 05/27/2023] Open
Abstract
AIMS To investigate the impact of statins on plaque progression according to high-risk coronary atherosclerotic plaque (HRP) features and to identify predictive factors for rapid plaque progression in mild coronary artery disease (CAD) using serial coronary computed tomography angiography (CCTA). METHODS AND RESULTS We analyzed mild stenosis (25-49%) CAD, totaling 1432 lesions from 613 patients (mean age, 62.2 years, 63.9% male) and who underwent serial CCTA at a ≥2 year inter-scan interval using the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging (NCT02803411) registry. The median inter-scan period was 3.5 ± 1.4 years; plaques were quantitatively assessed for annualized percent atheroma volume (PAV) and compositional plaque volume changes according to HRP features, and the rapid plaque progression was defined by the ≥90th percentile annual PAV. In mild stenotic lesions with ≥2 HRPs, statin therapy showed a 37% reduction in annual PAV (0.97 ± 2.02 vs. 1.55 ± 2.22, P = 0.038) with decreased necrotic core volume and increased dense calcium volume compared to non-statin recipient mild lesions. The key factors for rapid plaque progression were ≥2 HRPs [hazard ratio (HR), 1.89; 95% confidence interval (CI), 1.02-3.49; P = 0.042], current smoking (HR, 1.69; 95% CI 1.09-2.57; P = 0.017), and diabetes (HR, 1.55; 95% CI, 1.07-2.22; P = 0.020). CONCLUSION In mild CAD, statin treatment reduced plaque progression, particularly in lesions with a higher number of HRP features, which was also a strong predictor of rapid plaque progression. Therefore, aggressive statin therapy might be needed even in mild CAD with higher HRPs. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov NCT02803411.
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Affiliation(s)
- Hyung-Bok Park
- Department of Cardiology, Catholic Kwandong University International St. Mary's Hospital, Incheon, South Korea
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
| | - Reza Arsanjani
- Department of Cardiovascular Diseases, Mayo Clinic Arizona, Phoenix, AZ 85054, USA
| | - Ji Min Sung
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
| | - Ran Heo
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
- Department of Cardiology, Hanyang University Seoul Hospital, Hanyang University College of Medicine, Seoul, South Korea
| | - Byoung Kwon Lee
- Department of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Fay Y Lin
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY 10021, USA
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong-Jin Kim
- Division of Cardiology, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | | | | | | | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA 90502, USA
| | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Eun Ju Chun
- Department of Radiology, Seoul National University Bundang Hospital, Sungnam, South Korea
| | | | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, Pisa, Italy
| | - Hugo Marques
- Unit of Cardiovascular Imaging, Hospital da Luz, Catolica Medical School, Lisbon, Portugal
| | - Pedro de Araújo Gonçalves
- Unit of Cardiovascular Imaging, Hospital da Luz, Catolica Medical School, Lisbon, Portugal
- Nova Medical School, Lisbon, Portugal
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Sang-Eun Lee
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
- Department of Cardiology, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Sanghoon Shin
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
- Department of Cardiology, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Jung Hyun Choi
- Department of Cardiology, Pusan University Hospital, Busan, South Korea
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD 20878, USA
| | - Habib Samady
- Department of Cardiology, Georgia Heart Institute, Northeast Georgia Health System, Gainesville, GA 30501, USA
| | - Kavitha Chinnaiyan
- Department of Cardiology, William Beaumont Hospital, Royal Oak, MI 48073, USA
| | - Peter H Stone
- Department of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY 10029, USA
| | - Leslee J Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY 10021, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - James K Min
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY 10021, USA
| | - Hyuk-Jae Chang
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
- Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
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24
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Meloni A, Parravano M, Pistoia L, Cossu A, Grassedonio E, Renne S, Fina P, Spasiano A, Salvo A, Bagnato S, Gerardi C, Borsellino Z, Cademartiri F, Positano V. Phenotypic Clustering of Beta-Thalassemia Intermedia Patients Using Cardiovascular Magnetic Resonance. J Clin Med 2023; 12:6706. [PMID: 37959172 PMCID: PMC10647397 DOI: 10.3390/jcm12216706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023] Open
Abstract
We employed an unsupervised clustering method that integrated demographic, clinical, and cardiac magnetic resonance (CMR) data to identify distinct phenogroups (PGs) of patients with beta-thalassemia intermedia (β-TI). We considered 138 β-TI patients consecutively enrolled in the Myocardial Iron Overload in Thalassemia (MIOT) Network who underwent MR for the quantification of hepatic and cardiac iron overload (T2* technique), the assessment of biventricular size and function and atrial dimensions (cine images), and the detection of replacement myocardial fibrosis (late gadolinium enhancement technique). Three mutually exclusive phenogroups were identified based on unsupervised hierarchical clustering of principal components: PG1, women; PG2, patients with replacement myocardial fibrosis, increased biventricular volumes and masses, and lower left ventricular ejection fraction; and PG3, men without replacement myocardial fibrosis, but with increased biventricular volumes and masses and lower left ventricular ejection fraction. The hematochemical parameters and the hepatic and cardiac iron levels did not contribute to the PG definition. PG2 exhibited a significantly higher risk of future cardiovascular events (heart failure, arrhythmias, and pulmonary hypertension) than PG1 (hazard ratio-HR = 10.5; p = 0.027) and PG3 (HR = 9.0; p = 0.038). Clustering emerged as a useful tool for risk stratification in TI, enabling the identification of three phenogroups with distinct clinical and prognostic characteristics.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy; (L.P.); (F.C.); (V.P.)
- Unità Operativa Complessa Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy;
| | - Michela Parravano
- Unità Operativa Complessa Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy;
- Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Pisa, 56122 Pisa, PI, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy; (L.P.); (F.C.); (V.P.)
- Unità Operativa Complessa Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy
| | - Alberto Cossu
- Unità Operativa Radiologia Universitaria, Azienda Ospedaliero-Universitaria “S. Anna”, 44124 Cona, FE, Italy;
| | - Emanuele Grassedonio
- Sezione di Scienze Radiologiche, Dipartimento di Biopatologia e Biotecnologie Mediche, Policlinico “Paolo Giaccone”, 90127 Palermo, PA, Italy;
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero “Giovanni Paolo II”, 88046 Lamezia Terme, CZ, Italy;
| | - Priscilla Fina
- Unità Operativa Complessa Diagnostica per Immagini, Ospedale “Sandro Pertini”, 00157 Roma, RM, Italy;
| | - Anna Spasiano
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, 80131 Napoli, NA, Italy;
| | - Alessandra Salvo
- Unità Operativa Semplice Talassemia, Presidio Ospedaliero “Umberto I”, 96100 Siracusa, SR, Italy;
| | - Sergio Bagnato
- Ematologia Microcitemia, Ospedale San Giovanni di Dio—ASP Crotone, 88900 Crotone, KR, Italy;
| | - Calogera Gerardi
- Unità Operativa Semplice Dipartimentale di Talassemia, Presidio Ospedaliero “Giovanni Paolo II”—Distretto AG2 di Sciacca, 92019 Sciacca, AG, Italy;
| | - Zelia Borsellino
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico “Benfratelli-Di Cristina”, 90134 Palermo, PA, Italy;
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy; (L.P.); (F.C.); (V.P.)
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy; (L.P.); (F.C.); (V.P.)
- Unità Operativa Complessa Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, PI, Italy;
- Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Pisa, 56122 Pisa, PI, Italy
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25
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Williams C, Han D, Takagi H, Fordyce CB, Sellers S, Blanke P, Lin FY, Shaw LJ, Lee SE, Andreini D, Al-Mallah MH, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Conte E, Marques H, de Araújo Gonçalves P, Gottlieb I, Hadamitzky M, Maffei E, Pontone G, Shin S, Kim YJ, Lee BK, Chun EJ, Sung JM, Virmani R, Samady H, Stone PH, Berman DS, Narula J, Bax JJ, Leipsic JA, Chang HJ. Effects of renin-angiotensin-aldosterone-system inhibitors on coronary atherosclerotic plaques: The PARADIGM registry. Atherosclerosis 2023; 383:117301. [PMID: 37769454 DOI: 10.1016/j.atherosclerosis.2023.117301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND AND AIMS Inhibition of Renin-Angiotensin-Aldosterone-System (RAAS) has been hypothesized to improve endothelial function and reduce plaque inflammation, however, their impact on the progression of coronary atherosclerosis is unclear. We aim to study the effects of RAAS inhibitor on plaque progression and composition assessed by serial coronary CT angiography (CCTA). METHODS We performed a prospective, multinational study consisting of a registry of patients without history of CAD, who underwent serial CCTAs. Patients using RAAS inhibitors were propensity matched to RAAS inhibitor naïve patients based on clinical and CCTA characteristics at baseline. Atherosclerotic plaques in CCTAs were quantitatively analyzed for percent atheroma volume (PAV) according to plaque composition. Interactions between RAAS inhibitor use and baseline PAV on plaque progression were assessed in the unmatched cohort using a multivariate linear regression model. RESULTS Of 1248 patients from the registry, 299 RAAS inhibitor taking patients were matched to 299 RAAS inhibitor naïve patients. Over a mean interval of 3.9 years, there was no significant difference in annual progression of total PAV between RAAS inhibitor naïve vs taking patients (0.75 vs 0.79%/year, p = 0.66). With interaction testing in the unmatched cohort, however, RAAS inhibitor use was significantly associated with lower non-calcified plaque progression (Beta coefficient -0.100, adjusted p = 0.038) with higher levels of baseline PAV. CONCLUSIONS The use of RAAS inhibitors over a period of nearly 4 years did not significantly impact on total atherosclerotic plaque progression or various plaque components. However, interaction testing to assess the differential effect of RAAS inhibition based on baseline PAV suggested a significant decrease in progression of non-calcified plaque in patients with a higher burden of baseline atherosclerosis, which should be considered hypothesis generating.
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Affiliation(s)
- Curtis Williams
- Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Donghee Han
- Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Hidenobu Takagi
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada; Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Christopher B Fordyce
- Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephanie Sellers
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Philipp Blanke
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Fay Y Lin
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Leslee J Shaw
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea; Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea
| | | | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Matthew J Budoff
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA, USA
| | | | | | | | | | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal
| | - Pedro de Araújo Gonçalves
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal; Nova Medical School, Lisboa, Portugal
| | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, Pisa, Italy
| | | | - Sanghoon Shin
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Yong-Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Byoung Kwon Lee
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Eun Ju Chun
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Ji Min Sung
- Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea; Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Habib Samady
- Division of Cardiology, Georgia Heart Institute, Gainesville, USA
| | - Peter H Stone
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Jeroen J Bax
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Jonathon A Leipsic
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada.
| | - Hyuk-Jae Chang
- Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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26
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Meloni A, Nobile M, Keilberg P, Positano V, Santarelli MF, Pistoia L, Spasiano A, Casini T, Putti MC, Cuccia L, Bitti PP, Messina G, Peritore G, Renne S, Grassedonio E, Quaia E, Cademartiri F, Pepe A. Pancreatic fatty replacement as risk marker for altered glucose metabolism and cardiac iron and complications in thalassemia major. Eur Radiol 2023; 33:7215-7225. [PMID: 37115218 PMCID: PMC10511559 DOI: 10.1007/s00330-023-09630-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 01/18/2023] [Accepted: 02/23/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVES This multicenter study assessed the extent of pancreatic fatty replacement and its correlation with demographics, iron overload, glucose metabolism, and cardiac complications in a cohort of well-treated patients with thalassemia major (TM). METHODS We considered 308 TM patients (median age: 39.79 years; 182 females) consecutively enrolled in the Extension-Myocardial Iron Overload in Thalassemia Network. Magnetic resonance imaging was used to quantify iron overload (IO) and pancreatic fat fraction (FF) by T2* technique, cardiac function by cine images, and to detect replacement myocardial fibrosis by late gadolinium enhancement technique. The glucose metabolism was assessed by the oral glucose tolerance test. RESULTS Pancreatic FF was associated with age, body mass index, and history of hepatitis C virus infection. Patients with normal glucose metabolism showed a significantly lower pancreatic FF than patients with impaired fasting glucose (p = 0.030), impaired glucose tolerance (p < 0.0001), and diabetes (p < 0.0001). A normal pancreatic FF (< 6.6%) showed a negative predictive value of 100% for abnormal glucose metabolism. A pancreatic FF > 15.33% predicted the presence of abnormal glucose metabolism. Pancreas FF was inversely correlated with global pancreas and heart T2* values. A normal pancreatic FF showed a negative predictive value of 100% for cardiac iron. Pancreatic FF was significantly higher in patients with myocardial fibrosis (p = 0.002). All patients with cardiac complications had fatty replacement, and they showed a significantly higher pancreatic FF than complications-free patients (p = 0.002). CONCLUSION Pancreatic FF is a risk marker not only for alterations of glucose metabolism, but also for cardiac iron and complications, further supporting the close link between pancreatic and cardiac disease. KEY POINTS • In thalassemia major, pancreatic fatty replacement by MRI is a frequent clinical entity, predicted by a pancreas T2* < 20.81 ms and associated with a higher risk of alterations in glucose metabolism. • In thalassemia major, pancreatic fatty replacement is a strong risk marker for cardiac iron, replacement fibrosis, and complications, highlighting a deep connection between pancreatic and cardiac impairment.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U. O. C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Mario Nobile
- Sezione Di Scienze Radiologiche - Dipartimento Di Biopatologia E Biotecnologie Mediche, Policlinico "Paolo Giaccone", Palermo, Italy
| | - Petra Keilberg
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U. O. C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | | | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Anna Spasiano
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera Di Rilievo Nazionale "A. Cardarelli", Napoli, Italy
| | - Tommaso Casini
- Centro Talassemie Ed Emoglobinopatie, Ospedale "Meyer", Florence, Italy
| | - Maria Caterina Putti
- Dipartimento Della Salute Della Donna E del Bambino, Clinica Di Emato-Oncologia Pediatrica, Azienda Ospedaliero-Università Di Padova, Padua, Italy
| | - Liana Cuccia
- Unità Operativa Complessa Ematologia Con Talassemia, ARNAS Civico "Benfratelli-Di Cristina", Palermo, Italy
| | - Pier Paolo Bitti
- Dipartimento Dei Servizi, Servizio Immunoematologia E Medicina Trasfusionale, Presidio Ospedaliero "San Francesco" ASL Nuoro, Nuoro, Italy
| | - Giuseppe Messina
- Centro Microcitemie, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Reggio Calabria, Italy
| | - Giuseppe Peritore
- Unità Operativa Complessa Di Radiologia, ARNAS Civico "Benfratelli-Di Cristina", Palermo, Italy
| | - Stefania Renne
- Struttura Complessa Di Cardioradiologia-UTIC, Presidio Ospedaliero "Giovanni Paolo II", Lamezia Terme, Italy
| | - Emanuele Grassedonio
- Sezione Di Scienze Radiologiche - Dipartimento Di Biopatologia E Biotecnologie Mediche, Policlinico "Paolo Giaccone", Palermo, Italy
| | - Emilio Quaia
- Institute of Radiology, Department of Medicine, University of Padua, Giustiniani, 2 Street, 35128, Padova, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, Giustiniani, 2 Street, 35128, Padova, Italy.
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27
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Mantini C, Corradi F, Ricci F, Jensen B, Tana C, Di Mascio V, Mastrodicasa D, Bucciarelli B, Procaccini L, Saba L, Marco Tana, Cademartiri F, De Caterina R. A highly-detailed anatomical study of left atrial auricle as revealed by in-vivo computed tomography. Heliyon 2023; 9:e20575. [PMID: 37842578 PMCID: PMC10568352 DOI: 10.1016/j.heliyon.2023.e20575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 09/19/2023] [Accepted: 09/29/2023] [Indexed: 10/17/2023] Open
Abstract
The left atrial auricle (LAA) is the main source of intracardiac thrombi, which contribute significantly to the total number of stroke cases. It is also considered a major site of origin for atrial fibrillation in patients undergoing ablation procedures. The LAA is known to have a high degree of morphological variability, with shape and structure identified as important contributors to thrombus formation. A detailed understanding of LAA form, dimension, and function is crucial for radiologists, cardiologists, and cardiac surgeons. This review describes the normal anatomy of the LAA as visualized through multiple imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI), and echocardiography. Special emphasis is devoted to a discussion on how the morphological characteristics of the LAA are closely related to the likelihood of developing LAA thrombi, including insights into LAA embryology.
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Affiliation(s)
- Cesare Mantini
- Department of Neuroscience, Imaging and Clinical Sciences, “G. D'Annunzio” University, Chieti, Italy
| | | | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, “G. D'Annunzio” University, Chieti, Italy
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Bjarke Jensen
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centres, Amsterdam, the Netherlands
| | - Claudio Tana
- Geriatrics Clinic, SS. Annunziata Hospital of Chieti, 66100, Chieti, Italy
| | - Valeria Di Mascio
- Department of Neuroscience, Imaging and Clinical Sciences, “G. D'Annunzio” University, Chieti, Italy
| | | | - Benedetta Bucciarelli
- Department of Pediatrics, Politechnic University of Marche, G. Salesi Children's Hospital, Ancona, Italy
| | | | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, Cagliari, Italy
| | - Marco Tana
- Internal Medicine Unit and Department of Vascular Medicine and Cardiovascular Ultrasound, SS. Annunziata Hospital of Chieti, Italy
| | | | - Raffaele De Caterina
- Cardiology, University of Pisa and University Cardiology Division, Pisa University Hospital, Pisa, Italy
- Fondazione Villa Serena per la Ricerca, Città Sant’Angelo-Pescara, Italy
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28
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Meloni A, Pistoia L, Ricchi P, Positano V, Longo F, Borsellino Z, Cecinati V, Messina G, Corigliano E, Rosso R, Righi R, Peritore G, Renne S, Vallone A, Cademartiri F. Pancreatic T2* Magnetic Resonance Imaging for Prediction of Cardiac Arrhythmias in Transfusion-Dependent Thalassemia. J Clin Med 2023; 12:6015. [PMID: 37762955 PMCID: PMC10531669 DOI: 10.3390/jcm12186015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
We assessed the value of pancreatic T2* magnetic resonance imaging (MRI) for predicting cardiac events from a large prospective database of transfusion-dependent thalassemia (TDT) patients. We considered 813 TDT patients (36.47 ± 10.71 years, 54.6% females) enrolled in the Extension-Myocardial Iron Overload in Thalassemia Network. MRI was used to measure hepatic, pancreatic, and cardiac iron overload (IO), to assess biventricular function and atrial dimensions, and to detect replacement myocardial fibrosis. The mean follow-up was 50.51 ± 19.75 months. Cardiac complications were recorded in 21 (2.6%) patients: one with heart failure (HF) and 20 with arrhythmias. The single patient who developed HF had, at the baseline MRI, a reduced pancreas T2*. Out of the 20 recorded arrhythmias, 17 were supraventricular. Pancreatic T2* values were a significant predictor of future arrhythmia-related events (hazard ratio = 0.89; p = 0.015). Pancreas T2* remained significantly associated with future arrhythmias after adjusting for any other univariate predictor (age and male sex, diabetes, history of previous arrhythmias, or left atrial area index). According to the receiver-operating characteristic curve analysis for arrhythmias, a pancreas T2* < 6.73 ms was the optimal cut-off value. In TDT, pancreatic iron levels had significant prognostic power for arrhythmias. Regular monitoring and the development of targeted interventions to manage pancreatic IO may help improve patient outcomes.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione Gabriele Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.)
- Unità Operativa Complessa Bioingegneria, Fondazione Gabriele Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Gabriele Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.)
- Unità Operativa Semplice a Valenza Dipartimentale Ricerca Clinica, Fondazione Gabriele Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Paolo Ricchi
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “Antonio Cardarelli”, 80131 Napoli, Italy;
| | - Vincenzo Positano
- Department of Radiology, Fondazione Gabriele Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.)
- Unità Operativa Complessa Bioingegneria, Fondazione Gabriele Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Filomena Longo
- Unità Operativa Day Hospital della Talassemia e delle Emoglobinopatie, Azienda Ospedaliero-Universitaria “S. Anna”, 44124 Cona, Italy;
| | - Zelia Borsellino
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico “Benfratelli-Di Cristina”, 90134 Palermo, Italy;
| | - Valerio Cecinati
- Struttura Semplice di Microcitemia, Ospedale “Santissima Annunziata”, 74123 Taranto, Italy;
| | - Giuseppe Messina
- Centro Microcitemie, Grande Ospedale Metropolitano “Bianchi-Melacrino-Morelli”, 89100 Reggio Calabria, Italy;
| | - Elisabetta Corigliano
- Ematologia Microcitemia, Ospedale San Giovanni di Dio—ASP Crotone, 88900 Crotone, Italy;
| | - Rosamaria Rosso
- Unità Operativa Talassemie ed Emoglobinopatie, Azienda Ospedaliero-Universitaria Policlinico “Vittorio Emanuele”, 95100 Catania, Italy;
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, 44023 Lagosanto, Italy;
| | - Giuseppe Peritore
- Unità Operativa Complessa di Radiologia, ARNAS Civico “Benfratelli-Di Cristina”, 90127 Palermo, Italy;
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero “Giovanni Paolo II”, 88046 Lamezia Terme, Italy;
| | - Antonino Vallone
- Reparto di Radiologia, Azienda Ospedaliera “Garibaldi” Presidio Ospedaliero Nesima, 95126 Catania, Italy;
| | - Filippo Cademartiri
- Department of Radiology, Fondazione Gabriele Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.)
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29
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Barison A, Ceolin R, Palmieri A, Tamborrino PP, Todiere G, Grigoratos C, Gueli IA, De Gori C, Clemente A, Pistoia L, Pepe A, Aquaro GD, Positano V, Emdin M, Cademartiri F, Meloni A. Biventricular Tissue Tracking with Cardiovascular Magnetic Resonance: Reference Values of Left- and Right-Ventricular Strain. Diagnostics (Basel) 2023; 13:2912. [PMID: 37761278 PMCID: PMC10527573 DOI: 10.3390/diagnostics13182912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/31/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
We derived reference values of left-ventricular (LV) and right-ventricular (RV) strain parameters in a cohort of 100 healthy subjects by feature tracking cardiac magnetic resonance (FT-CMR). Global and regional strain values were calculated for the LV; circumferential and radialSAX strain parameters were derived from the short-axis (SAX) stack, while longitudinal and radialLAX strain parameters were assessed in three long-axis (LAX) views. Only global longitudinal strain (GLS) was calculated for the RV. Peak global LV circumferential strain was -16.7% ± 2.1%, LV radialSAX strain was 26.4% ± 5.1%, LV radialLAX strain was 31.1% ± 5.2%, LV GLS was -17.7% ± 1.9%, and RV GLS was -23.9% ± 4.1%. Women presented higher global LV and RV strain values than men; all strain values presented a weak relationship with body surface area, while there was no association with age or heart rate. A significant association was detected between all LV global strain measures and LV ejection fraction, while RV GLS was correlated to RV end-diastolic volume. The intra- and inter-operator reproducibility was good for all global strain measures. In the regional analysis, circumferential and radial strain values resulted higher at the apical level, while longitudinal strain values were higher at the basal level. The assessment of cardiac deformation by FT-CMR is feasible and reproducible and gender-specific reference values should be used.
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Affiliation(s)
- Andrea Barison
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Roberto Ceolin
- Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, 34128 Trieste, Italy
| | - Alessandro Palmieri
- Cardiothoracovascular Department, Careggi University Hospital, 50134 Florence, Italy
| | - Pietro Paolo Tamborrino
- Cardiology Division, Cardiothoracic and Vascular Department, Pisa University Hospital, 56124 Pisa, Italy
| | - Giancarlo Todiere
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Chrysanthos Grigoratos
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Ignazio Alessio Gueli
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Clinical Research Unit, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, 35128 Padova, Italy
| | - Giovanni Donato Aquaro
- Academic Radiology Unit, Department of Surgical Medical and Molecular Pathology and Critical Area, University of Pisa, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Michele Emdin
- Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
| | - Antonella Meloni
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
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30
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Meloni A, Pistoia L, Lupi A, Righi R, Vallone A, Missere M, Renne S, Fina P, Riva A, Gamberini MR, Cecinati V, Sorrentino F, Rosso R, Messina G, Ricchi P, Positano V, Mavrogeni S, Quaia E, Cademartiri F, Pepe A. Impact of the COVID-19 Pandemic on Iron Overload Assessment by MRI in Patients with Hemoglobinopathies: The E-MIOT Network Experience. Tomography 2023; 9:1711-1722. [PMID: 37736989 PMCID: PMC10514849 DOI: 10.3390/tomography9050136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND The E-MIOT (Extension-Myocardial Iron Overload in Thalassemia) project is an Italian Network assuring high-quality quantification of tissue iron overload by magnetic resonance imaging (MRI). We evaluated the impact of the COVID-19 pandemic on E-MIOT services. METHODS The activity of the E-MIOT Network MRI centers in the year 2020 was compared with that of 2019. A survey evaluated whether the availability of MRI slots for patients with hemoglobinopathies was reduced and why. RESULTS The total number of MRI scans was 656 in 2019 and 350 in 2020, with an overall decline of 46.4% (first MRI: 71.7%, follow-up MRI: 36.9%), a marked decline (86.9%) in the period March-June 2020, and a reduction in the gap between the two years in the period July-September. A new drop (41.4%) was recorded in the period October-December for two centers, due to the general reduction in the total amount of MRIs/day for sanitization procedures. In some centers, patients refused MRI scans for fear of getting COVID. Drops in the MRI services >80% were found for patients coming from a region without an active MRI site. CONCLUSIONS The COVID-19 pandemic had a strong negative impact on MRI multi-organ iron quantification, with a worsening in the management of patients with hemoglobinopathies.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.); (F.C.)
- Unità Operativa Complessa Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.); (F.C.)
| | - Amalia Lupi
- Istituto di Radiologia, Dipartimento di Medicina, Università di Padova, 35128 Padova, Italy; (A.L.); (E.Q.)
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, 44023 Lagosanto, Italy;
| | - Antonino Vallone
- Reparto di Radiologia, Azienda Ospedaliera “Garibaldi” Presidio Ospedaliero Nesima, 95126 Catania, Italy;
| | - Massimiliano Missere
- Unità Operativa Complessa Radiodiagnostica, Gemelli Molise SpA, Fondazione di Ricerca e Cura “Giovanni Paolo II”, 86100 Campobasso, Italy;
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia, Presidio Ospedaliero “Giovanni Paolo II”, 88046 Lamezia Terme, Italy;
| | - Priscilla Fina
- Unità Operativa Complessa Diagnostica per Immagini, Ospedale “Sandro Pertini”, 00157 Roma, Italy;
| | - Ada Riva
- Struttura Complessa di Radiologia, Ospedale “SS. Annunziata” ASL Taranto, 74121 Taranto, Italy;
| | - Maria Rita Gamberini
- Unità Operativa di Day Hospital della Talassemia e delle Emoglobinopatie, Dipartimento della Riproduzione e dell’Accrescimento, Azienda Ospedaliero-Universitaria “S. Anna”, 44124 Cona, Italy;
| | - Valerio Cecinati
- Struttura Semplice di Microcitemia, Ospedale “SS. Annunziata” ASL Taranto, 74100 Taranto, Italy;
| | - Francesco Sorrentino
- Unità Operativa Semplice Dipartimentale Day Hospital Talassemici, Ospedale “Sant’Eugenio”, 00143 Roma, Italy;
| | - Rosamaria Rosso
- Unità Operativa Talassemie ed Emoglobinopatie, Azienda Ospedaliero-Universitaria Policlinico “Vittorio Emanuele”, 95100 Catania, Italy;
| | - Giuseppe Messina
- Centro Microcitemie, Grande Ospedale Metropolitano “Bianchi-Melacrino-Morelli”, 89100 Reggio Calabria, Italy;
| | - Paolo Ricchi
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, 80131 Napoli, Italy;
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.); (F.C.)
- Unità Operativa Complessa Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | | | - Emilio Quaia
- Istituto di Radiologia, Dipartimento di Medicina, Università di Padova, 35128 Padova, Italy; (A.L.); (E.Q.)
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (L.P.); (V.P.); (F.C.)
| | - Alessia Pepe
- Istituto di Radiologia, Dipartimento di Medicina, Università di Padova, 35128 Padova, Italy; (A.L.); (E.Q.)
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Budoff MJ, Kinninger A, Gransar H, Achenbach S, Al-Mallah M, Bax JJ, Berman DS, Cademartiri F, Callister TQ, Chang HJ, Chow BJW, Cury RC, Feuchtner G, Hadamitzky M, Hausleiter J, Kaufmann PA, Leipsic J, Lin FY, Kim YJ, Marques H, Pontone G, Rubinshtein R, Shaw LJ, Villines TC, Min JK. When Does a Calcium Score Equate to Secondary Prevention?: Insights From the Multinational CONFIRM Registry. JACC Cardiovasc Imaging 2023; 16:1181-1189. [PMID: 37227328 DOI: 10.1016/j.jcmg.2023.03.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/30/2023] [Accepted: 03/14/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND Elevated coronary artery calcium (CAC) scores in subjects without prior atherosclerotic cardiovascular disease (ASCVD) have been shown to be associated with increased cardiovascular risk. OBJECTIVES The authors sought to determine at what level individuals with elevated CAC scores who have not had an ASCVD event should be treated as aggressively for cardiovascular risk factors as patients who have already survived an ASCVD event. METHODS The authors performed a cohort study comparing event rates of patients with established ASVCD to event rates in persons with no history of ASCVD and known calcium scores to ascertain at what level elevated CAC scores equate to risk associated with existing ASCVD. In the multinational CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter) registry, the authors compared ASCVD event rates in persons without a history of myocardial infarction (MI) or revascularization (as categorized on CAC scores) to event rates in those with established ASCVD. They identified 4,511 individuals without known coronary artery disease (CAC) who were compared to 438 individuals with established ASCVD. CAC was categorized as 0, 1 to 100, 101 to 300, and >300. Cumulative major adverse cardiovascular events (MACE), MACE plus late revascularization, MI, and all-cause mortality incidence was assessed using the Kaplan-Meier method for persons with no ASCVD history by CAC level and persons with established ASCVD. Cox proportional hazards regression analysis was used to calculate HRs with 95% CIs, which were adjusted for traditional cardiovascular risk factors. RESULTS The mean age was 57.6 ± 12.4 years (56% male). In total, 442 of 4,949 (9%) patients experienced MACEs over a median follow-up of 4 years (IQR: 1.7-5.7 years). Incident MACEs increased with higher CAC scores, with the highest rates observed with CAC score >300 and in those with prior ASCVD. All-cause mortality, MACEs, MACE + late revascularization, and MI event rates were not statistically significantly different in those with CAC >300 compared with established ASCVD (all P > 0.05). Persons with a CAC score <300 had substantially lower event rates. CONCLUSIONS Patients with CAC scores >300 are at an equivalent risk of MACE and its components as those treated for established ASCVD. This observation, that those with CAC >300 have event rates comparable to those with established ASCVD, supplies important background for further study related to secondary prevention treatment targets in subjects without prior ASCVD with elevated CAC. Understanding the CAC scores that are associated with ASCVD risk equivalent to stable secondary prevention populations may be important for guiding the intensity of preventive approaches more broadly.
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Affiliation(s)
- Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor-University of California, Los Angeles, Torrance, California, USA; Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
| | - April Kinninger
- Department of Medicine, Lundquist Institute at Harbor-University of California, Los Angeles, Torrance, California, USA
| | - Heidi Gransar
- Department of Imaging, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Stephan Achenbach
- Department of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Mouaz Al-Mallah
- Department of Medicine, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Jeroen J Bax
- CardioVascular Imaging Unit, Leiden University Medical Center, Leiden, the Netherlands
| | - Daniel S Berman
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA; Department of Imaging, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Filippo Cademartiri
- CardioVascular Imaging Unit, Leiden University Medical Center, Leiden, the Netherlands
| | - Tracy Q Callister
- Tennessee Heart and Vascular Institute, Hendersonville, Tennessee, USA
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Seoul, Korea
| | - Benjamin J W Chow
- Department of Radiology, University of Ottawa Heart Institute and University of Ottawa, Ontario, Canada
| | - Ricardo C Cury
- Baptist Cardiac and Vascular Institute, Miami, Florida, USA
| | - Gudrun Feuchtner
- Department of Radiology, Medical University Innsbruck, Innsbruck, Austria
| | - Martin Hadamitzky
- Division of Cardiology, Deutsches Herzzentrum Munchen, Munich, Germany
| | - Joerg Hausleiter
- Division of Cardiology, Deutsches Herzzentrum Munchen, Munich, Germany
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Fay Y Lin
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yong-Jin Kim
- Seoul National University Hospital, Seoul, South Korea
| | - Hugo Marques
- Department of Radiology, Universidade Católica Portuguesa, Lisbon, Portugal
| | - Gianluca Pontone
- Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy
| | | | - Leslee J Shaw
- Division of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Todd C Villines
- Department of Medicine, Mount Sinai School of Medicine, New York, New York, USA
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Meloni A, Cademartiri F, Positano V, Celi S, Berti S, Clemente A, La Grutta L, Saba L, Bossone E, Cavaliere C, Punzo B, Maffei E. Cardiovascular Applications of Photon-Counting CT Technology: A Revolutionary New Diagnostic Step. J Cardiovasc Dev Dis 2023; 10:363. [PMID: 37754792 PMCID: PMC10531582 DOI: 10.3390/jcdd10090363] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/28/2023] Open
Abstract
Photon-counting computed tomography (PCCT) is an emerging technology that can potentially transform clinical CT imaging. After a brief description of the PCCT technology, this review summarizes its main advantages over conventional CT: improved spatial resolution, improved signal and contrast behavior, reduced electronic noise and artifacts, decreased radiation dose, and multi-energy capability with improved material discrimination. Moreover, by providing an overview of the existing literature, this review highlights how the PCCT benefits have been harnessed to enhance and broaden the diagnostic capabilities of CT for cardiovascular applications, including the detection of coronary artery calcifications, evaluation of coronary plaque extent and composition, evaluation of coronary stents, and assessment of myocardial tissue characteristics and perfusion.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Vicenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Sergio Berti
- Diagnostic and Interventional Cardiology Department, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Alberto Clemente
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Ludovico La Grutta
- Department of Radiology, University Hospital “P. Giaccone”, 90127 Palermo, Italy;
| | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato, CA, Italy;
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy;
| | - Carlo Cavaliere
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Bruna Punzo
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Erica Maffei
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
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van Rosendael SE, Bax AM, Lin FY, Achenbach S, Andreini D, Budoff MJ, Cademartiri F, Callister TQ, Chinnaiyan K, Chow BJW, Cury RC, DeLago AJ, Feuchtner G, Hadamitzky M, Hausleiter J, Kaufmann PA, Kim YJ, Leipsic JA, Maffei E, Marques H, de Araújo Gonçalves P, Pontone G, Raff GL, Rubinshtein R, Villines TC, Chang HJ, Berman DS, Min JK, Bax JJ, Shaw LJ, van Rosendael AR. Sex and age-specific interactions of coronary atherosclerotic plaque onset and prognosis from coronary computed tomography. Eur Heart J Cardiovasc Imaging 2023; 24:1180-1189. [PMID: 37165981 PMCID: PMC10445263 DOI: 10.1093/ehjci/jead094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/21/2023] [Accepted: 04/05/2023] [Indexed: 05/12/2023] Open
Abstract
AIMS The totality of atherosclerotic plaque derived from coronary computed tomography angiography (CCTA) emerges as a comprehensive measure to assess the intensity of medical treatment that patients need. This study examines the differences in age onset and prognostic significance of atherosclerotic plaque burden between sexes. METHODS AND RESULTS From a large multi-center CCTA registry the Leiden CCTA score was calculated in 24 950 individuals. A total of 11 678 women (58.5 ± 12.4 years) and 13 272 men (55.6 ± 12.5 years) were followed for 3.7 years for major adverse cardiovascular events (MACE) (death or myocardial infarction). The age where the median risk score was above zero was 12 years higher in women vs. men (64-68 years vs. 52-56 years, respectively, P < 0.001). The Leiden CCTA risk score was independently associated with MACE: score 6-20: HR 2.29 (1.69-3.10); score > 20: HR 6.71 (4.36-10.32) in women, and score 6-20: HR 1.64 (1.29-2.08); score > 20: HR 2.38 (1.73-3.29) in men. The risk was significantly higher for women within the highest score group (adjusted P-interaction = 0.003). In pre-menopausal women, the risk score was equally predictive and comparable with men. In post-menopausal women, the prognostic value was higher for women [score 6-20: HR 2.21 (1.57-3.11); score > 20: HR 6.11 (3.84-9.70) in women; score 6-20: HR 1.57 (1.19-2.09); score > 20: HR 2.25 (1.58-3.22) in men], with a significant interaction for the highest risk group (adjusted P-interaction = 0.004). CONCLUSION Women developed coronary atherosclerosis approximately 12 years later than men. Post-menopausal women within the highest atherosclerotic burden group were at significantly higher risk for MACE than their male counterparts, which may have implications for the medical treatment intensity.
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Affiliation(s)
- Sophie E van Rosendael
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - A Maxim Bax
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Fay Y Lin
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen Medizinische Klinik 2-Kardiologie und Angiologie, Ulmenweg 18, 91054 Erlangen, Germany
| | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant'Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Matthew J Budoff
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA
| | | | - Tracy Q Callister
- Department of Cardiology, Tennessee Heart and Vascular Institute, 353 New Shackle Island Rd Hendersonville, TN 37075, USA
| | - Kavitha Chinnaiyan
- Department of Cardiology, William Beaumont Hospital, 3535 W 13 Mile Rd #742, Royal Oak, MI 48073, USA
| | - Benjamin J W Chow
- Department of Medicine and Radiology, University of Ottawa, 40 Ruskin St, Ottawa, ON K1Y 4W7, Canada
| | - Ricardo C Cury
- Department of Radiology, Miami Cardiac and Vascular Institute, 8900 N Kendall Dr, Miami, FL 33176, USA
| | - Augustin J DeLago
- Capitol Cardiology Associate, 7 Southwoods Blvd, Albany, NY 12211, USA
| | - Gudrun Feuchtner
- Department of Radiology, Medical University of Innsbruck, Christoph-Probst-Platz 1, Innrain 52 A, Fritz-Pregl-Straße 3, 6020 Innsbruck, Austria
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Lazarettstraße 36, 80636 München, Germany
| | - Joerg Hausleiter
- Department of Radiology, Medizinische Klinik I der Ludwig-Maximilians-Universität München, Ziemssenstraße 1, 80336 München, Germany
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland
| | - Yong-Jin Kim
- Department of Medicine, Seoul National University Hospital, Jongno-gu, Seoul 03080, South Korea
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, 1081 Burrard Street Vancouver, BC V6Z 1Y6, Canada
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio (FTGM)-CNR, Pisa, Italy
| | - Hugo Marques
- UNICA, Cardiovascular Imaging Unit, Hospital da Luz Lisboa, Av. Lusíada 100, 1500-650 Lisboa, Portugal
- Católica Medical School, Estr. Octávio Pato, 2635-631 Rio de Mouro, Portugal
- Católica Biomedical Research Center, R. Q.ta Grande 6 2780, 2780-156 Oeiras, Portugal
| | - Pedro de Araújo Gonçalves
- UNICA, Cardiovascular Imaging Unit, Hospital da Luz Lisboa, Av. Lusíada 100, 1500-650 Lisboa, Portugal
- Nova Medical School, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal
| | - Gianluca Pontone
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant'Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Gilbert L Raff
- Department of Cardiology, William Beaumont Hospital, 3535 W 13 Mile Rd #742, Royal Oak, MI 48073, USA
| | - Ronen Rubinshtein
- Department of Cardiology at the Lady Davis Carmel Medical Center, The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Todd C Villines
- Department of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Hyuk-Jae Chang
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital and Severance Biomedical Science Institute, Yonsei University College of Medicine, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea
| | - Daniel S Berman
- Department of Imaging, Cedars Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA
| | | | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Alexander R van Rosendael
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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Meloni A, Pistoia L, Positano V, Martini N, Borrello RL, Sbragi S, Spasiano A, Casini T, Bitti PP, Putti MC, Cuccia L, Allò M, Massei F, Sanna PMG, De Caterina R, Quaia E, Cademartiri F, Pepe A. Myocardial tissue characterization by segmental T2 mapping in thalassaemia major: detecting inflammation beyond iron. Eur Heart J Cardiovasc Imaging 2023; 24:1222-1230. [PMID: 37070652 DOI: 10.1093/ehjci/jead068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 03/09/2023] [Accepted: 03/23/2023] [Indexed: 04/19/2023] Open
Abstract
AIMS We measured myocardial T2 values by a segmental approach in thalassaemia major (TM) patients, comparing such values against T2* values for the detection of myocardial iron overload (MIO), evaluating their potential in detecting subclinical inflammation, and correlating with clinical status. METHODS AND RESULTS One-hundred and sixty-six patients (102 females, 38.29 ± 11.49years) enrolled in the Extension-Myocardial Iron Overload in Thalassemia Network underwent magnetic resonance imaging for the assessment of hepatic, pancreatic, and cardiac iron overload (T2* technique), of biventricular function (cine images), and of replacement myocardial fibrosis [late gadolinium enhancement (LGE)]. T2 and T2* values were quantified in all 16 myocardial segments, and the global value was the mean of all segments. Global heart T2 values were significantly higher in TM than in a cohort of 80 healthy subjects. T2 and T2* values were significantly correlated. Out of the 25 patients with a decreased global heart T2* value, 11 (44.0%) had reduced T2 values. No patient with a normal T2* value had a decreased T2 value.Eleven (6.6%) patients had a decreased global heart T2 value, 74 (44.6%) a normal global heart T2 value, and 81 (48.8%) an increased global heart T2 value. Biventricular function was comparable amongst the three groups, whilst LGE was significantly more frequent in patients with reduced vs. increased global heart T2 value. Compared with the other two groups, patients with reduced T2 values had significantly higher hepatic and pancreatic iron deposition. CONCLUSION In TM, T2 mapping does not offer any advantage in terms of sensitivity for MIO assessment but detects subclinical myocardial inflammation.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Nicola Martini
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | | | - Sara Sbragi
- Cardiovascular Division, University of Pisa, Pisa, Italy
| | - Anna Spasiano
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale 'A. Cardarelli', Napoli, Italy
| | - Tommaso Casini
- Centro Talassemie ed Emoglobinopatie, Ospedale 'Meyer', Firenze, Italy
| | - Pier Paolo Bitti
- Servizio Immunoematologia e Medicina Trasfusionale-Dipartimento dei Servizi, Presidio Ospedaliero 'San Francesco' ASL Nuoro, Nuoro, Italy
| | - Maria Caterina Putti
- Dipartimento della Salute della Donna e del Bambino, Clinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero-Università di Padova, Padova, Italy
| | - Liana Cuccia
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico 'Benfratelli-Di Cristina', Palermo, Italy
| | - Massimo Allò
- Ematologia Microcitemia, Ospedale San Giovanni di Dio-ASP Crotone, Crotone, Italy
| | - Francesco Massei
- Unità Operativa Oncoematologia Pediatrica, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | | | | | - Emilio Quaia
- Institute of Radiology, Department of Medicine, University of Padua, Giustiniani, 2 Street, 35128 Padua, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, Giustiniani, 2 Street, 35128 Padua, Italy
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Meloni A, Pistoia L, Gamberini MR, Spasiano A, Cuccia L, Allò M, Messina G, Cecinati V, Geraradi C, Rosso R, Vassalle C, Righi R, Renne S, Missere M, Positano V, Pepe A, Cademartiri F, Ricchi P. The impact of HCV chronic positivity and clearance on extrahepatic morbidity in thalassemia major patients: an observational study from MIOT Network. Eur J Intern Med 2023; 114:93-100. [PMID: 37150716 DOI: 10.1016/j.ejim.2023.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/12/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND No study has evaluated the effect of hepatitis C virus (HCV) infection on the wide spectrum of complications affecting patients with thalassemia. OBJECTIVES This multicenter study prospectively assessed the relationship of HCV infection with diabetes mellitus and cardiovascular complications in patients with thalassemia major (TM). METHODS We considered 1057 TM patients (539 females; 29.79±10.08 years) enrolled in the MIOT Network and categorized into 4 groups: negative patients (group 1a, N=460), patients who spontaneously cleared the virus within 6months (group 1b, N=242), patients who eradicated the virus after the treatment with antiviral therapy (group 2, N=102), and patients with chronic HCV infection (group 3, N=254). RESULTS Group 1a and 1b were considered as a unique group (group 1). For both groups 1 and 3, a match 1:1 for age and sex with group 2 was performed. The effective study cohort consisted of 306 patients (three groups of 102 patients). During a mean follow-up of 67.93±39.20months, the group 3 experienced a significantly higher % increase/month in aspartate transaminase levels and left ventricular mass index than both groups 1 and 2. The changes in iron overload indexes were comparable among the three groups. Compared to group 1, the chronic HCV group showed a significantly higher risk of diabetes (hazard ratio-HR=5.33; p=0.043) and of cardiovascular diseases (HR=3.80; p=0.034). CONCLUSION Chronic HCV infection is associated with a significant higher risk of diabetes mellitus and cardiovascular complications in TM patients and should be approached as a systemic disease in which extrahepatic complications increase the weight of its pathological burden.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy; U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy; U.O.S.V.D Ricerca Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Maria Rita Gamberini
- Unità Operativa Day Hospital della Talassemia e delle Emoglobinopatie, Azienda Ospedaliero-Universitaria "S. Anna", Cona (FE), Italy
| | - Anna Spasiano
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Napoli, Italy
| | - Liana Cuccia
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico "Benfratelli-Di Cristina", Palermo, Italy
| | - Massimo Allò
- Ematologia Microcitemia, Ospedale San Giovanni di Dio - ASP Crotone, Crotone, Italy
| | - Giuseppe Messina
- Centro Microcitemie, Azienda Ospedaliera "Bianchi-Melacrino-Morelli", Reggio Calabria, Italy
| | - Valerio Cecinati
- Struttura Semplice di Microcitemia, Ospedale "SS. Annunziata" ASL Taranto, Taranto, Italy
| | - Calogera Geraradi
- Unità Operativa Semplice di Talassemia, Presidio Ospedaliero "Giovanni Paolo II" - Distretto AG2 di Sciacca, Sciacca (AG), Italy
| | - Rosamaria Rosso
- Unità Operativa Talassemie ed Emoglobinopatie Azienda Ospedaliero-Universitaria Policlinico "Vittorio Emanuele", Catania, Italy
| | - Cristina Vassalle
- Medicina di laboratorio, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Riccardo Righi
- Diagnostica per Immagini e Radiologia Interventistica, Ospedale del Delta, Lagosanto (FE), Italy
| | - Stefania Renne
- Struttura Complessa di Cardioradiologia-UTIC, Presidio Ospedaliero "Giovanni Paolo II", Lamezia Terme (CZ), Italy
| | - Massimiliano Missere
- U.O.C. Radiodiagnostica, Gemelli Molise SpA, Fondazione di Ricerca e Cura "Giovanni Paolo II", Campobasso, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy; U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, Padova, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Paolo Ricchi
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Napoli, Italy.
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Meloni A, Cademartiri F, Pistoia L, Degiorgi G, Clemente A, De Gori C, Positano V, Celi S, Berti S, Emdin M, Panetta D, Menichetti L, Punzo B, Cavaliere C, Bossone E, Saba L, Cau R, La Grutta L, Maffei E. Dual-Source Photon-Counting Computed Tomography-Part III: Clinical Overview of Vascular Applications beyond Cardiac and Neuro Imaging. J Clin Med 2023; 12:jcm12113798. [PMID: 37297994 DOI: 10.3390/jcm12113798] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/29/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Photon-counting computed tomography (PCCT) is an emerging technology that is expected to radically change clinical CT imaging. PCCT offers several advantages over conventional CT, which can be combined to improve and expand the diagnostic possibilities of CT angiography. After a brief description of the PCCT technology and its main advantages we will discuss the new opportunities brought about by PCCT in the field of vascular imaging, while addressing promising future clinical scenarios.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | | | - Laura Pistoia
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Giulia Degiorgi
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Department of Bioengineering, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Sergio Berti
- Cardiology Unit, Ospedale del Cuore, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Michele Emdin
- Department of Cardiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Daniele Panetta
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Luca Menichetti
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Bruna Punzo
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Carlo Cavaliere
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy
| | - Luca Saba
- Department of Radiology, University Hospital, 09042 Monserrato, CA, Italy
| | - Riccardo Cau
- Department of Radiology, University Hospital, 09042 Monserrato, CA, Italy
| | - Ludovico La Grutta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties-ProMISE, Department of Radiology, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
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Castiglione V, Aimo A, Todiere G, Barison A, Fabiani I, Panichella G, Genovesi D, Bonino L, Clemente A, Cademartiri F, Giannoni A, Passino C, Emdin M, Vergaro G. Role of Imaging in Cardiomyopathies. Card Fail Rev 2023; 9:e08. [PMID: 37427006 PMCID: PMC10326670 DOI: 10.15420/cfr.2022.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/07/2022] [Indexed: 07/11/2023] Open
Abstract
Imaging has a central role in the diagnosis, classification, and clinical management of cardiomyopathies. While echocardiography is the first-line technique, given its wide availability and safety, advanced imaging, including cardiovascular magnetic resonance (CMR), nuclear medicine and CT, is increasingly needed to refine the diagnosis or guide therapeutic decision-making. In selected cases, such as in transthyretin-related cardiac amyloidosis or in arrhythmogenic cardiomyopathy, the demonstration of histological features of the disease can be avoided when typical findings are observed at bone-tracer scintigraphy or CMR, respectively. Findings from imaging techniques should always be integrated with data from the clinical, electrocardiographic, biomarker, genetic and functional evaluation to pursue an individualised approach to patients with cardiomyopathy.
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Affiliation(s)
- Vincenzo Castiglione
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Alberto Aimo
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Giancarlo Todiere
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Andrea Barison
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Iacopo Fabiani
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Giorgia Panichella
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Dario Genovesi
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Lucrezia Bonino
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Alberto Clemente
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Filippo Cademartiri
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
| | - Alberto Giannoni
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Claudio Passino
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Michele Emdin
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
| | - Giuseppe Vergaro
- Cardiothoracic Department, Fondazione Toscana Gabriele MonasterioPisa, Italy
- Health Science Interdisciplinary Center, Scuola Superiore Sant’AnnaPisa, Italy
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Cademartiri F, Meloni A, Pistoia L, Degiorgi G, Clemente A, Gori CD, Positano V, Celi S, Berti S, Emdin M, Panetta D, Menichetti L, Punzo B, Cavaliere C, Bossone E, Saba L, Cau R, Grutta LL, Maffei E. Dual-Source Photon-Counting Computed Tomography-Part I: Clinical Overview of Cardiac CT and Coronary CT Angiography Applications. J Clin Med 2023; 12:jcm12113627. [PMID: 37297822 DOI: 10.3390/jcm12113627] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023] Open
Abstract
The photon-counting detector (PCD) is a new computed tomography detector technology (photon-counting computed tomography, PCCT) that provides substantial benefits for cardiac and coronary artery imaging. Compared with conventional CT, PCCT has multi-energy capability, increased spatial resolution and soft tissue contrast with near-null electronic noise, reduced radiation exposure, and optimization of the use of contrast agents. This new technology promises to overcome several limitations of traditional cardiac and coronary CT angiography (CCT/CCTA) including reduction in blooming artifacts in heavy calcified coronary plaques or beam-hardening artifacts in patients with coronary stents, and a more precise assessment of the degree of stenosis and plaque characteristic thanks to its better spatial resolution. Another potential application of PCCT is the use of a double-contrast agent to characterize myocardial tissue. In this current overview of the existing PCCT literature, we describe the strengths, limitations, recent applications, and promising developments of employing PCCT technology in CCT.
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Affiliation(s)
| | - Antonella Meloni
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Giulia Degiorgi
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Department of Bioengineering, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Sergio Berti
- Cardiology Unit, Ospedale del Cuore, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Michele Emdin
- Department of Cardiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Daniele Panetta
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Luca Menichetti
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Bruna Punzo
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Carlo Cavaliere
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy
| | - Luca Saba
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Riccardo Cau
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Ludovico La Grutta
- Department of Radiology, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
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Cademartiri F, Meloni A, Pistoia L, Degiorgi G, Clemente A, De Gori C, Positano V, Celi S, Berti S, Emdin M, Panetta D, Menichetti L, Punzo B, Cavaliere C, Bossone E, Saba L, Cau R, Grutta LL, Maffei E. Dual Source Photon-Counting Computed Tomography-Part II: Clinical Overview of Neurovascular Applications. J Clin Med 2023; 12:jcm12113626. [PMID: 37297821 DOI: 10.3390/jcm12113626] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/12/2023] Open
Abstract
Photon-counting detector (PCD) is a novel computed tomography detector technology (photon-counting computed tomography-PCCT) that presents many advantages in the neurovascular field, such as increased spatial resolution, reduced radiation exposure, and optimization of the use of contrast agents and material decomposition. In this overview of the existing literature on PCCT, we describe the physical principles, the advantages and the disadvantages of conventional energy integrating detectors and PCDs, and finally, we discuss the applications of the PCD, focusing specifically on its implementation in the neurovascular field.
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Affiliation(s)
| | - Antonella Meloni
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Giulia Degiorgi
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Department of Bioengineering, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Sergio Berti
- Cardiology Unit, Ospedale del Cuore, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Michele Emdin
- Department of Cardiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Daniele Panetta
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Luca Menichetti
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Bruna Punzo
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Carlo Cavaliere
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy
| | - Luca Saba
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Riccardo Cau
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Ludovico La Grutta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties-ProMISE, Department of Radiology, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
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Agnese M, Toia P, Sollami G, Militello C, Rundo L, Vitabile S, Maffei E, Agnello F, Gagliardo C, Grassedonio E, Galia M, Cademartiri F, Midiri M, La Grutta L. Epicardial and thoracic subcutaneous fat texture analysis in patients undergoing cardiac CT. Heliyon 2023; 9:e15984. [PMID: 37215845 PMCID: PMC10196784 DOI: 10.1016/j.heliyon.2023.e15984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/09/2023] [Accepted: 04/28/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction The aim of our study was to evaluate the feasibility of texture analysis of epicardial fat (EF) and thoracic subcutaneous fat (TSF) in patients undergoing cardiac CT (CCT). Materials and methods We compared a consecutive population of 30 patients with BMI ≤25 kg/m2 (Group A, 60.6 ± 13.7 years) with a control population of 30 patients with BMI >25 kg/m2 (Group B, 63.3 ± 11 years). A dedicated computer application for quantification of EF and a texture analysis application for the study of EF and TSF were employed. Results The volume of EF was higher in group B (mean 116.1 cm3 vs. 86.3 cm3, p = 0.014), despite no differences were found neither in terms of mean density (-69.5 ± 5 HU vs. -68 ± 5 HU, p = 0.28), nor in terms of quartiles distribution (Q1, p = 0.83; Q2, p = 0.22, Q3, p = 0.83, Q4, p = 0.34). The discriminating parameters of the histogram class were mean (p = 0.02), 0,1st (p = 0.001), 10th (p = 0.002), and 50th percentiles (p = 0.02). DifVarnc was the discriminating parameter of the co-occurrence matrix class (p = 0.007).The TSF thickness was 15 ± 6 mm in group A and 19.5 ± 5 mm in group B (p = 0.003). The TSF had a mean density of -97 ± 19 HU in group A and -95.8 ± 19 HU in group B (p = 0.75). The discriminating parameters of texture analysis were 10th (p = 0.03), 50th (p = 0.01), 90th percentiles (p = 0.04), S(0,1)SumAverg (p = 0.02), S(1,-1)SumOfSqs (p = 0.02), S(3,0)Contrast (p = 0.03), S(3,0)SumAverg (p = 0.02), S(4,0)SumAverg (p = 0.04), Horzl_RLNonUni (p = 0.02), and Vertl_LngREmph (p = 0.0005). Conclusions Texture analysis provides distinctive radiomic parameters of EF and TSF. EF and TSF had different radiomic features as the BMI varies.
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Affiliation(s)
- Manfredi Agnese
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Patrizia Toia
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Giulia Sollami
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Carmelo Militello
- Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Palermo, Italy
| | - Leonardo Rundo
- Department of Information and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Salerno, Italy
| | - Salvatore Vitabile
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio, Pisa, Italy
| | - Francesco Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Cesare Gagliardo
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Emanuele Grassedonio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Massimo Galia
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | | | - Massimo Midiri
- Department of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy
| | - Ludovico La Grutta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties - ProMISE, University of Palermo, Palermo, Italy
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Punzo B, Ranieri B, Tramontano L, Affinito O, Franzese M, Bossone E, Saba L, Cavaliere C, Cademartiri F. 4D-Flow Cardiovascular Magnetic Resonance Sequence for Aortic Assessment: Multi-Vendor and Multi-Magnetic Field Reproducibility in Healthy Volunteers. J Clin Med 2023; 12:jcm12082960. [PMID: 37109295 PMCID: PMC10141060 DOI: 10.3390/jcm12082960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/03/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023] Open
Abstract
OBJECTIVES Four-dimensional (4D) flow cardiac magnetic resonance (CMR) represents an emerging technique for non-invasive evaluation of the aortic flow. The aim of this study was to investigate a 4D-flow CMR sequence for the assessment of thoracic aorta comparing different vendors and different magnetic fields of MR scanner in fifteen healthy volunteers. METHODS CMR was performed on three different MRI scanners: one at 1.5 T and two at 3 T. Flow parameters and planar wall shear stress (WSS) were extracted from six transversal planes along the full thoracic aorta by three operators. Inter-vendor comparability as well as scan-rescan, intra- and interobserver reproducibility were examined. RESULTS A high heterogeneity was found in the comparisons for each operator and for each scanner in the six transversal planes analysis (Friedman rank-sum test; p-value ≤ 0.05). Among all, the most reproducible measures were extracted for the sinotubular junction plane and for the flow parameters. CONCLUSIONS Our results suggest that standardized procedures have to be defined to make more comparable and reproducible 4D-flow parameters and mainly, clinical impactfulness. Further studies on sequences development are needed to validate 4D-flow MRI assessment across vendors and magnetic fields also compared to a missing gold standard.
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Affiliation(s)
- Bruna Punzo
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | - Brigida Ranieri
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | | | - Ornella Affinito
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | - Monica Franzese
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | - Eduardo Bossone
- Department of Public Health, "Federico II" University of Naples, 80131 Naples, Italy
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero-Universitaria (A.O.U.) di Cagliari, 09123 Cagliari, Italy
| | - Carlo Cavaliere
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
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42
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Cau R, Muscogiuri G, Pisu F, Gatti M, Velthuis B, Loewe C, Cademartiri F, Pontone G, Montisci R, Guglielmo M, Sironi S, Esposito A, Francone M, Dacher N, Peebles C, Bastarrika G, Salgado R, Saba L. Exploring the EVolution in PrognOstic CapabiLity of MUltisequence Cardiac MagneTIc ResOnance in PatieNts Affected by Takotsubo Cardiomyopathy Based on Machine Learning Analysis: Design and Rationale of the EVOLUTION Study. J Thorac Imaging 2023:00005382-990000000-00062. [PMID: 37015834 DOI: 10.1097/rti.0000000000000709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
PURPOSE Takotsubo cardiomyopathy (TTC) is a transient but severe acute myocardial dysfunction with a wide range of outcomes from favorable to life-threatening. The current risk stratification scores of TTC patients do not include cardiac magnetic resonance (CMR) parameters. To date, it is still unknown whether and how clinical, trans-thoracic echocardiography (TTE), and CMR data can be integrated to improve risk stratification. METHODS EVOLUTION (Exploring the eVolution in prognOstic capabiLity of mUlti-sequence cardiac magneTIc resOnance in patieNts affected by Takotsubo cardiomyopathy) is a multicenter, international registry of TTC patients who will undergo a clinical, TTE, and CMR evaluation. Clinical data including demographics, risk factors, comorbidities, laboratory values, ECG, and results from TTE and CMR analysis will be collected, and each patient will be followed-up for in-hospital and long-term outcomes. Clinical outcome measures during hospitalization will include cardiovascular death, pulmonary edema, arrhythmias, stroke, or transient ischemic attack.Clinical long-term outcome measures will include cardiovascular death, pulmonary edema, heart failure, arrhythmias, sudden cardiac death, and major adverse cardiac and cerebrovascular events defined as a composite endpoint of death from any cause, myocardial infarction, recurrence of TTC, transient ischemic attack, and stroke. We will develop a comprehensive clinical and imaging score that predicts TTC outcomes and test the value of machine learning models, incorporating clinical and imaging parameters to predict prognosis. CONCLUSIONS The main goal of the study is to develop a comprehensive clinical and imaging score, that includes TTE and CMR data, in a large cohort of TTC patients for risk stratification and outcome prediction as a basis for possible changes in patient management.
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Affiliation(s)
| | - Giuseppe Muscogiuri
- School of Medicine and Surgery, University of Milano-Bicocca
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital
| | | | - Marco Gatti
- Department of Radiology, Università degli studi di Torino, Turin
| | | | | | | | | | - Roberta Montisci
- Cardiology, Azienda Ospedaliero Universitaria, Monserrato (Cagliari)
| | - Marco Guglielmo
- Department of Cardiology, Universitair Medisch Centrum, Utrecht, The Netherlands
| | - Sandro Sironi
- School of Medicine and Surgery, University of Milano-Bicocca
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Bergamo
| | - Antonio Esposito
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute
- School of Medicine, Vita Salute San Raffaele University, Milan
| | | | - Nicholas Dacher
- Cardiac MR/CT Unit, Department of Radiology, Rouen University Hospital, Rouen, France
| | - Charles Peebles
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Gorka Bastarrika
- Department of Radiology, Clinica Universidad de Navarra, Pamplona, Spain
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Meloni A, Pistoia L, Maffei S, Ricchi P, Casini T, Corigliano E, Putti MC, Cuccia L, Argento C, Positano V, Pepe A, Cademartiri F, Vassalle C. Bone status and HCV infection in thalassemia major patients. Bone 2023; 169:116671. [PMID: 36623757 DOI: 10.1016/j.bone.2023.116671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 12/20/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023]
Abstract
PURPOSE Hepatitis C virus (HCV) infection increases the risk for osteoporosis but this relationship has not been investigated among multi-transfused patients with thalassemia major (TM). We cross-sectionally explored the association of HCV infection with bone mineral density (BMD), vitamin D, and bone turnover biomarkers in TM. METHODS We considered 130 TM patients (41.89 ± 5.49 years, 67 females) enrolled in the E-MIOT (Extension-Myocardial Iron Overload in Thalassemia) Network. BMD measurements taken at the lumbar spine, femoral neck and total hip were expressed as Z-scores, with a BMD Z-score ≤ -2.0 indicating low bone mass. RESULTS Z-scores were not associated with gender, iron overload indices, vitamin D levels, and biochemical bone turnover markers, but decreased with aging and in presence of hypogonadism and were directly correlated with body mass index (BMI). The prevalence of low bone mass was 70.7 %. Three groups of patients were identified: 78 who never contracted the infection (group 0), 72 who cleared HCV (group 1), and 29 with chronic HCV infection (CHC) (group 2). All Z-scores progressively decreased according to HCV status from group 0 to group 2. Osteocalcin levels were significantly lower in groups 2 and 1 than in group 0. CHC patients were more likely to have low bone mass compared to HCV naive patients, after adjusting for age, BMI, hypogonadism, and pancreatic iron. CONCLUSION In TM, CHC appears as one additive risk factor for low bone mass and osteocalcin may play a role in this association.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy; U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Silvia Maffei
- Cardiovascular and Gynaecological Endocrinology Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Paolo Ricchi
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Napoli, Italy
| | - Tommaso Casini
- Centro Talassemie ed Emoglobinopatie, Ospedale "Meyer", Firenze, Italy
| | | | - Maria Caterina Putti
- Dipartimento della Salute della Donna e del Bambino, Clinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero-Università di Padova, Padova, Italy
| | - Liana Cuccia
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico "Benfratelli-Di Cristina", Palermo, Italy
| | - Crocetta Argento
- Centro di Talasssemia, Ospedale "San Giovanni Di Dio", Agrigento, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy; U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Alessia Pepe
- Institute of Radiology, University of Padua, Padua, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Cristina Vassalle
- Medicina di laboratorio, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy.
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Meloni A, Gargani L, Bruni C, Cavallaro C, Gobbo M, D'Agostino A, D'Angelo G, Martini N, Grigioni F, Sinagra G, De Caterina R, Quaia E, Mavrogeni S, Cademartiri F, Matucci-Cerinic M, Pepe A. Additional value of T1 and T2 mapping techniques for early detection of myocardial involvement in scleroderma. Int J Cardiol 2023; 376:139-146. [PMID: 36731634 DOI: 10.1016/j.ijcard.2023.01.066] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/16/2023] [Accepted: 01/23/2023] [Indexed: 02/01/2023]
Abstract
BACKGROUND We evaluated the prevalence of myocardial involvement by native T1 and T2 mapping, the diagnostic performance of mapping in addition to conventional Lake Louise Criteria (LLC), as well as correlations between mapping findings and clinical or conventional cardiovascular magnetic resonance (CMR) parameters in systemic sclerosis (SSc) patients. METHODS Fifty-five SSc patients (52.31 ± 13.24 years, 81.8% female) and 55 age- and sex-matched healthy subjects underwent clinical, bio-humoral assessment, and CMR. The imaging protocol included: T2-weighted, early post-contrast cine sequences, native T1 and T2 mapping by a segmental approach, and late gadolinium enhancement (LGE) technique. RESULTS Global myocardial T1 and T2 values were significantly higher in SSc patients than in healthy subjects. An increase in native T1 and/or T2 was present in the 62.1% of patients with normal conventional CMR techniques (negative LGE and T2-weighted images). Respectively, 13.5% and 59.6% of patients fulfilled original and updated LLC (overall agreement = 53.9%). Compared with patients with normal native T1, patients with increased T1 (40.0%) featured significantly higher left ventricular end-diastolic volume index and cardiac index, biventricular stroke volume indexes, and global heart T2 values, and more frequently had a history of digital ulcers. Biochemical and functional CMR parameters were comparable between patients with normal and increased T2 (61.8%). CONCLUSION T1 and T2 mapping are sensitive parameters that should be included in the routine clinical assessment of SSc patients for detecting early/subclinical myocardial involvement.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Luna Gargani
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Cosimo Bruni
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, Florence, Italy; Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Camilla Cavallaro
- Cardiovascular Department, University Campus Bio-Medico, Roma, Italy
| | - Marco Gobbo
- Cardiovascular Department, Azienda Sanitaria Universitaria di Trieste, Department of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Andreina D'Agostino
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Gennaro D'Angelo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Nicola Martini
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | | | - Gianfranco Sinagra
- Cardiovascular Department, Azienda Sanitaria Universitaria di Trieste, Department of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Raffaele De Caterina
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Emilio Quaia
- Institute of Radiology, Department of Medicine, University of Padua, Padua, Italy
| | - Sophie Mavrogeni
- Department of Cardiology, Onassis Cardiac Surgery Center, Athens, Greece
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, Division of Rheumatology, University of Florence, Florence, Italy; Unit of Immunology, Rheumatology, Allergy and Rare diseases (UnIRAR), IRCCS San Raffaele Hospital, Milan, Italy
| | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, Padua, Italy.
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De Santi LA, Meloni A, Santarelli MF, Pistoia L, Spasiano A, Casini T, Putti MC, Cuccia L, Cademartiri F, Positano V. Left Ventricle Detection from Cardiac Magnetic Resonance Relaxometry Images Using Visual Transformer. Sensors (Basel) 2023; 23:3321. [PMID: 36992032 PMCID: PMC10052975 DOI: 10.3390/s23063321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 06/19/2023]
Abstract
Left Ventricle (LV) detection from Cardiac Magnetic Resonance (CMR) imaging is a fundamental step, preliminary to myocardium segmentation and characterization. This paper focuses on the application of a Visual Transformer (ViT), a novel neural network architecture, to automatically detect LV from CMR relaxometry sequences. We implemented an object detector based on the ViT model to identify LV from CMR multi-echo T2* sequences. We evaluated performances differentiated by slice location according to the American Heart Association model using 5-fold cross-validation and on an independent dataset of CMR T2*, T2, and T1 acquisitions. To the best of our knowledge, this is the first attempt to localize LV from relaxometry sequences and the first application of ViT for LV detection. We collected an Intersection over Union (IoU) index of 0.68 and a Correct Identification Rate (CIR) of blood pool centroid of 0.99, comparable with other state-of-the-art methods. IoU and CIR values were significantly lower in apical slices. No significant differences in performances were assessed on independent T2* dataset (IoU = 0.68, p = 0.405; CIR = 0.94, p = 0.066). Performances were significantly worse on the T2 and T1 independent datasets (T2: IoU = 0.62, CIR = 0.95; T1: IoU = 0.67, CIR = 0.98), but still encouraging considering the different types of acquisition. This study confirms the feasibility of the application of ViT architectures in LV detection and defines a benchmark for relaxometry imaging.
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Affiliation(s)
- Lisa Anita De Santi
- Department of Information Engineering, University of Pisa, 56122 Pisa, Italy;
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
| | - Antonella Meloni
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (L.P.)
| | | | - Laura Pistoia
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (L.P.)
| | - Anna Spasiano
- Unità Operativa Semplice Dipartimentale Malattie Rare del Globulo Rosso, Azienda Ospedaliera di Rilievo Nazionale “A. Cardarelli”, 80131 Napoli, Italy
| | - Tommaso Casini
- Centro Talassemie ed Emoglobinopatie, Ospedale “Meyer”, 50139 Firenze, Italy
| | - Maria Caterina Putti
- Clinica di Emato-Oncologia Pediatrica, Dipartimento di Salute della Donna e del Bambino, Azienda Ospedale Università, 35128 Padova, Italy
| | - Liana Cuccia
- Unità Operativa Complessa Ematologia con Talassemia, ARNAS Civico “Benfratelli-Di Cristina”, 90127 Palermo, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (L.P.)
| | - Vincenzo Positano
- U.O.C. Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy;
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (L.P.)
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Mauro C, Capone V, Cocchia R, Cademartiri F, Riccardi F, Arcopinto M, Alshahid M, Anwar K, Carafa M, Carbone A, Castaldo R, Chianese S, Crisci G, D’Assante R, De Luca M, Franzese M, Galzerano D, Maffei V, Marra AM, Valente V, Giardino F, Mazza A, Ranieri B, D’Agostino A, Rega S, Romano L, Scagliarini S, Sepe C, Vriz O, Izzo R, Cittadini A, Bossone E, Salzano A. Cardiovascular Side Effects of Anthracyclines and HER2 Inhibitors among Patients with Breast Cancer: A Multidisciplinary Stepwise Approach for Prevention, Early Detection, and Treatment. J Clin Med 2023; 12:2121. [PMID: 36983126 PMCID: PMC10056500 DOI: 10.3390/jcm12062121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/25/2023] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
Cardiovascular (CV) diseases (CVD) are a major cause of long-term morbidity and mortality affecting life expectancy amongst cancer survivors. In recent years, because of the possibility of early diagnosis and the increased efficacy of neo-adjuvant and adjuvant systemic treatments (targeting specific molecular pathways), the high percentage of survival from breast cancer led CVD to become the first cause of death among survivors. Therefore, it is mandatory to adopt cardioprotective strategies to minimize CV side effects and CVD in general in breast cancer patients. Cancer therapeutics-related cardiac dysfunction (CTRCD) is a common group of side effects of chemotherapeutics widely employed in breast cancer (e.g., anthracycline and human epidermal growth factor receptor 2 inhibitors). The aim of the present manuscript is to propose a pragmatic multidisciplinary stepwise approach for prevention, early detection, and treatment of cardiotoxicity in patients with breast cancer.
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Affiliation(s)
- Ciro Mauro
- Cardiology Division, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
| | - Valentina Capone
- Cardiology Division, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Rosangela Cocchia
- Cardiology Division, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Via Moruzzi 1, 56124 Pisa, Italy
| | - Ferdinando Riccardi
- Oncology Unit, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
| | - Michele Arcopinto
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Maie Alshahid
- The Heart Centre, King Faisal Specialist Hospital & Research Centre, Riyadh 11564, Saudi Arabia
| | - Kashif Anwar
- The Heart Centre, King Faisal Specialist Hospital & Research Centre, Riyadh 11564, Saudi Arabia
| | - Mariano Carafa
- Emergency Medicine Division, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
| | - Andreina Carbone
- Unit of Cardiology, Department of Translational Medical Sciences, Monaldi Hospital, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Rossana Castaldo
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | - Salvatore Chianese
- Cardiology Division, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Giulia Crisci
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Roberta D’Assante
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Mariarosaria De Luca
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Monica Franzese
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | - Domenico Galzerano
- The Heart Centre, King Faisal Specialist Hospital & Research Centre, Riyadh 11564, Saudi Arabia
| | - Vincenzo Maffei
- Post Operative Intensive Care Division, Antonio Cardarelli Hospital, 80131 Naples, Italy
| | - Alberto M. Marra
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Valeria Valente
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Federica Giardino
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Alfredo Mazza
- Unit of Cardiology, Camerino Hospital, 62032 Macerata, Italy
| | - Brigida Ranieri
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | - Anna D’Agostino
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy
| | - Salvatore Rega
- Department of Public Health, University Federico II of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Luigia Romano
- Department of General and Emergency Radiology, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
| | - Sarah Scagliarini
- Oncology Unit, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
| | - Chiara Sepe
- Technical Nursing and Rehabilitation Service (SITR) Department, Cardarelli Hospital, 80131 Naples, Italy
| | - Olga Vriz
- The Heart Centre, King Faisal Specialist Hospital & Research Centre, Riyadh 11564, Saudi Arabia
| | - Raffaele Izzo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Antonio Cittadini
- Department of Translational Medical Sciences, Federico II University, 80138 Naples, Italy
| | - Eduardo Bossone
- Department of Public Health, University Federico II of Naples, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Andrea Salzano
- Cardiology Division, Antonio Cardarelli Hospital, Via Cardarelli 9, 80131 Naples, Italy
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE2 7TG, UK
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Onnis C, Muscogiuri G, Cademartiri F, Fanni D, Faa G, Gerosa C, Mannelli L, Suri JS, Sironi S, Montisci R, Saba L. Non-invasive coronary imaging in elderly population. Eur J Radiol 2023; 162:110794. [PMID: 37001255 DOI: 10.1016/j.ejrad.2023.110794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 03/29/2023]
Abstract
Age is a non-modifiable cardiovascular risk factor, which leads to development and progression of chronic conditions, such as coronary artery disease, by promoting atherosclerosis. Aging is responsible for morphological structure changes of the coronary arteries and specific atherosclerotic plaque features, which can be studied with non-invasive coronary imaging techniques, particularly coronary CT angiography. The aim of this review is to evaluate current knowledge on this technique applied to the elderly population, and to describe CAD manifestation and plaque features of coronary atherosclerosis in this particular set of patients. We also discuss the clinical implication of frailty assessment and customization of diagnostic strategies in order to shift the approach from disease-centered to patient-centered care.
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Vitrano A, Musallam KM, Meloni A, Karimi M, Daar S, Ricchi P, Costantini S, Vlachaki E, Di Marco V, El-Beshlawy A, Hajipour M, Ansari SH, Filosa A, Ceci A, Singer ST, Naserullah ZA, Pepe A, Cademartiri F, Pollina SA, Scondotto S, Dardanoni G, Bonifazi F, Sankaran VG, Vichinsky E, Taher AT, Maggio A. Development of a Thalassemia International Prognostic Scoring System (TIPSS). Blood Cells Mol Dis 2023; 99:102710. [PMID: 36463683 DOI: 10.1016/j.bcmd.2022.102710] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/21/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022]
Abstract
A prognostic scoring system that can differentiate β-thalassemia patients based on mortality risk is lacking. We analysed data from 3145 β-thalassemia patients followed through a retrospective cohort design for the outcome of death. An a priori list of prognostic variables was collected. β Coefficients from a multivariate cox regression model were used from a development dataset (n = 2516) to construct a formula for a Thalassemia International Prognostic Scoring System (TIPSS) which was subsequently applied to a validation dataset (n = 629). The median duration of observation was 10.0 years. The TIPSS score formula was constructed as exp (1.4 × heart disease + 0.9 × liver disease + 0.9 × diabetes + 0.9 × sepsis + 0.6 × alanine aminotransferase ≥42 IU/L + 0.6 × hemoglobin ≤9 g/dL + 0.4 × serum ferritin ≥1850 ng/mL). TIPSS score thresholds of greatest differentiation were assigned as <2.0 (low-risk), 2.0 to <5.0 (intermediate-risk), and ≥5.0 (high-risk). The TIPSS score was a good predictor for the outcome of death in the validation dataset (AUC: 0.722, 95%CI: 0.641-0.804) and survival was significantly different between patients in the three risk categories (P < 0.001). Compared to low-risk patients, the hazard ratio for death was 2.778 (95%CI: 1.335-5.780) in patients with intermediate-risk and 6.431 (95%CI: 3.151-13.128) in patients with high-risk. This study provides a novel tool to support mortality risk categorization for patients with β-thalassemia that could help management and research decisions.
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Affiliation(s)
- Angela Vitrano
- Campus of Haematology Franco and Piera Cutino, AOOR Villa Sofia-V. Cervello, Palermo, Italy
| | - Khaled M Musallam
- Thalassemia Center, Burjeel Medical City, Abu Dhabi, United Arab Emirates
| | - Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | - Mehran Karimi
- Haematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Shahina Daar
- Department of Haematology, College of Medicine and Health Sciences, Sultan Qaboos University, Oman; Wallenberg Research Centre, Stellenbosch Institute for Advanced Study, Stellenbosch University, Stellenbosch, South Africa
| | - Paolo Ricchi
- Rare Blood Cell Disease Unit, "Cardarelli" Hospital, Naples, Italy
| | | | - Efthymia Vlachaki
- Thalassaemia Unit, Ippokratio University Hospital, Thessaloniki, Greece
| | - Vito Di Marco
- Sezione di Gastroenterologia e Epatologia, Dipartimento Biomedico di Medicina Interna e Specialistica, University of Palermo, Palermo, Italy
| | - Amal El-Beshlawy
- Department of Pediatric Haematology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mahmoud Hajipour
- Pediatric Gastroenterology, Hepatology and Nutrition Research Center, Research Institute for Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Aldo Filosa
- Rare Blood Cell Disease Unit, "Cardarelli" Hospital, Naples, Italy
| | - Adriana Ceci
- Fondazione per la Ricerca Farmacologica Gianni Benzi Onlus, Valenzano (BA), Italy
| | - Sylvia Titi Singer
- Division of Hematology-Oncology, Department of Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA
| | | | - Alessia Pepe
- Institute of Radiology, Department of Medicine, University of Padua, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
| | | | | | | | - Fedele Bonifazi
- Fondazione per la Ricerca Farmacologica Gianni Benzi Onlus, Valenzano (BA), Italy
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Elliott Vichinsky
- Division of Hematology-Oncology, Department of Pediatrics, University of California San Francisco, UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA
| | - Ali T Taher
- Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | - Aurelio Maggio
- Campus of Haematology Franco and Piera Cutino, AOOR Villa Sofia-V. Cervello, Palermo, Italy.
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Cau R, Bassareo P, Cademartiri F, Cadeddu C, Balestrieri A, Mannelli L, Suri JS, Saba L. Epicardial fat volume assessed with cardiac magnetic resonance imaging in patients with Takotsubo cardiomyopathy. Eur J Radiol 2023; 160:110706. [PMID: 36701825 DOI: 10.1016/j.ejrad.2023.110706] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 01/15/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Abstract
PURPOSE The aims of our study were to investigate with cardiovascular magnetic resonance (CMR) the role of Epicardial Fat Volume (EFV) and distribution in patients with Takotsubo cardiomyopathy (TTC). Moreover, we explored EFV in patients with TTC and related this to comorbidities, cardiac biomarkers, and cardiac function. METHODS This retrospective study performed CMR scans in 30 consecutive TTC patients and 20 healthy controls. The absolute amount of EFV was quantified in consecutive short-axis cine stacks through the modified Simpson's rule. In addition, the left atrio-ventricular groove (LV) and right ventricle (RV) Epicardial Fat Thickness (EFT) were measured as well. Besides epicardial fat, LV myocardial strain parameters and T2 mapping measurements were obtained. RESULTS TTC patients and controls were of comparable age, sex, and body mass index. Compared to healthy controls, patients with TTC demonstrated a significantly increased EFV, epicardial fat mass, and EFV indexed for body 7surface area (p = 0.005; p = 0.003; p = 0.008; respectively). In a multiple regression model including age, sex, BMI, atrial fibrillation, and dyslipidemia, TTC remained an independent association with EFV (p = 0.008). Global T2 mapping and Global longitudinal strain in patients with TTC were correlated with EFV (r = 0.63, p = 0.001, and r = 0.44, p = 0.02, respectively). CONCLUSION Patients with TTC have increased EFV compared to healthy controls, despite a similar body mass index. The amount of epicardial fat was associated with CMR markers of myocardial inflammation and subclinical contractile dysfunction.
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Affiliation(s)
- Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy
| | - Pierpaolo Bassareo
- Mater Misericordiae University Hospital and Our Lady's Children's Hospital, University College of Dublin, Crumlin, Dublin, Ireland
| | | | - Christian Cadeddu
- Department of Cardiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy
| | - Antonella Balestrieri
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy
| | | | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy.
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Park HB, Lee J, Hong Y, Byungchang S, Kim W, Lee BK, Lin FY, Hadamitzky M, Kim YJ, Conte E, Andreini D, Pontone G, Budoff MJ, Gottlieb I, Chun EJ, Cademartiri F, Maffei E, Marques H, Gonçalves PDA, Leipsic JA, Shin S, Choi JH, Virmani R, Samady H, Chinnaiyan K, Stone PH, Berman DS, Narula J, Shaw LJ, Bax JJ, Min JK, Kook W, Chang HJ. Risk factors based vessel-specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry. Clin Cardiol 2023; 46:320-327. [PMID: 36691990 PMCID: PMC10018106 DOI: 10.1002/clc.23964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/12/2022] [Accepted: 12/19/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND AND HYPOTHESIS The recently introduced Bayesian quantile regression (BQR) machine-learning method enables comprehensive analyzing the relationship among complex clinical variables. We analyzed the relationship between multiple cardiovascular (CV) risk factors and different stages of coronary artery disease (CAD) using the BQR model in a vessel-specific manner. METHODS From the data of 1,463 patients obtained from the PARADIGM (NCT02803411) registry, we analyzed the lumen diameter stenosis (DS) of the three vessels: left anterior descending (LAD), left circumflex (LCx), and right coronary artery (RCA). Two models for predicting DS and DS changes were developed. Baseline CV risk factors, symptoms, and laboratory test results were used as the inputs. The conditional 10%, 25%, 50%, 75%, and 90% quantile functions of the maximum DS and DS change of the three vessels were estimated using the BQR model. RESULTS The 90th percentiles of the DS of the three vessels and their maximum DS change were 41%-50% and 5.6%-7.3%, respectively. Typical anginal symptoms were associated with the highest quantile (90%) of DS in the LAD; diabetes with higher quantiles (75% and 90%) of DS in the LCx; dyslipidemia with the highest quantile (90%) of DS in the RCA; and shortness of breath showed some association with the LCx and RCA. Interestingly, High-density lipoprotein cholesterol showed a dynamic association along DS change in the per-patient analysis. CONCLUSIONS This study demonstrates the clinical utility of the BQR model for evaluating the comprehensive relationship between risk factors and baseline-grade CAD and its progression.
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Affiliation(s)
- Hyung-Bok Park
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
- Department of Cardiology, Catholic Kwandong University International St. Mary's Hospital, Incheon, South Korea
| | - Jina Lee
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, South Korea
| | - Yongtaek Hong
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - So Byungchang
- Department of Mathematical Sciences, Seoul National University, Seoul, South Korea
| | - Wonse Kim
- Department of Mathematical Sciences, Seoul National University, Seoul, South Korea
- MetaEyes, Seoul, South Korea
| | - Byoung K Lee
- Department of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Fay Y Lin
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York City, New York, USA
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong-Jin Kim
- Division of Cardiology, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | | | | | | | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, California, USA
| | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Eun Ju Chun
- Seoul National University Bundang Hospital, Sungnam, South Korea
| | | | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, Pisa, Italy
| | - Hugo Marques
- Unit of Cardiovascular Imaging, Hospital da Luz, Catolica Medical School, Lisbon, Portugal
| | - Pedro de A Gonçalves
- Unit of Cardiovascular Imaging, Hospital da Luz, Catolica Medical School, Lisbon, Portugal
- Nova Medical School, Lisbon, Portugal
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sanghoon Shin
- Department of Cardiology, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Jung H Choi
- Department of Cardiology, Pusan University Hospital, Busan, South Korea
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, Maryland, USA
| | - Habib Samady
- Department of Cardiology, Georgia Heart Institute, Northeast Georgia Health System, Georgia, USA
| | - Kavitha Chinnaiyan
- Department of Cardiology, William Beaumont Hospital, Royal Oak, Michigan, USA
| | - Peter H Stone
- Department of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars Sinai Medical Center, Los Angeles, California, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York City, New York, USA
| | - Leslee J Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York City, New York, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - James K Min
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York City, New York, USA
| | - Woong Kook
- Department of Mathematical Sciences, Seoul National University, Seoul, South Korea
| | - Hyuk-Jae Chang
- CONNECT-AI Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
- Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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