Publications by authors named "Sanguineti F"

Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.

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Background Ischemic late gadolinium enhancement (LGE) assessed with cardiac MRI is a well-established prognosticator in ischemic cardiomyopathy. However, the prognostic value of additional LGE parameters, such as extent, transmurality, location, and associated midwall LGE, remains unclear. Purpose To assess the prognostic value of ischemic LGE features to predict all-cause mortality in ischemic cardiomyopathy.

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Objectives: This study aimed to detail the technical management of Medina 0.0.1 lesions, assess their outcomes, and identify predictors of Major Adverse Cardiovascular Events (MACE).

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Article Synopsis
  • This study examined whether an AI-based method for measuring left ventricular ejection fraction (LVEF) during stress tests could better predict death in patients compared to traditional methods.
  • Researchers analyzed data from over 9,700 patients, finding a strong correlation between AI-measured stress LVEF and expert-measured LVEF, as well as a significant association with all-cause mortality.
  • The study concluded that the AI method provides valuable prognostic information that improves risk assessment beyond conventional factors and traditional stress CMR findings.
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An 82-year-old patient experienced symptomatic intra-prosthetic aortic regurgitation 5 years after self-expandable transcatheter heart valve (THV) implantation. Redo-transcatheter aortic valve replacement was initially considered at high risk of coronary obstruction. Using a systematic computed tomography-based approach planning a low implantation with a SAPIEN 3 Ultra THV, we effectively mitigated risks.

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Article Synopsis
  • Real-time cardiac magnetic resonance (CMR) allows for detailed imaging of the heart without using contrast agents or X-rays, and CMR-guided right heart catheterization (CMR-RHC) merges this technology with traditional catheterization methods.
  • This study evaluated the feasibility and safety of CMR-RHC in 35 patients needing right heart catheterization from December 2018 to May 2021, finding a high success rate of 91% in obtaining necessary measurements and no adverse effects reported.
  • The procedures averaged 29 minutes for CMR-RHC and 62 minutes total, with good overall comfort reported by both patients and physicians, highlighting the technique's potential for improving cardiac diagnostics.*
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Article Synopsis
  • Cardiovascular disease (CVD) is the leading cause of death in chronic kidney disease (CKD) patients, yet the prognostic value of stress cardiovascular magnetic resonance (CMR) in these patients isn't fully established.
  • * A study analyzed 825 symptomatic CKD patients, focusing on the safety and predictive value of vasodilator stress CMR, while excluding patients with severe kidney impairment due to risks associated with gadolinium.
  • *Results showed that stress CMR was well tolerated and the presence of inducible ischemia significantly increased the risk of major adverse cardiovascular events, highlighting stress CMR as a critical tool for predicting outcomes in CKD patients.
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Introduction And Objectives: Coronary chronic total occlusions (CTO) involving bifurcation lesions are a challenging lesion subset that is understudied in the literature. This study analyzed the incidence, procedural strategy, in-hospital outcomes and complications of percutaneous coronary interventions (PCI) for bifurcation-CTO (BIF-CTO).

Methods: We assessed data from 607 consecutive CTO patients treated at the Institut Cardiovasculaire Paris Sud (ICPS), Massy, France between January 2015 and February 2020.

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Article Synopsis
  • The study aimed to evaluate if fully automated AI-based global circumferential strain (GCS) measured during stress cardiovascular MRI can provide additional predictive value for major adverse cardiovascular events (MACE).
  • The research involved over 2,100 patients and found that while stress-GCS correlated with MACE in patients with normal stress CMR, it did not predict such events in those with abnormal CMR.
  • The findings suggest that stress-GCS offers better prognostic assessment in individuals with normal CMR compared to traditional methods, despite a low overall event rate among these patients.
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Transcatheter aortic valve replacement (TAVR) indications recently extended to lower surgical risk patients with longer life expectancy. Commissural alignment (CA) is one of the emerging concepts and is becoming one of the cornerstones of the TAVR procedure in a patient with increased longevity. Indeed, CA may improve transcatheter heart valve (THV) hemodynamics, future coronary access, and repeatability.

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Background: The left atrioventricular coupling index (LACI) is a strong and independent predictor of heart failure (HF) in individuals without clinical cardiovascular disease. Its prognostic value is not established in patients with cardiovascular disease.

Objectives: This study sought to determine in patients undergoing stress cardiac magnetic resonance (CMR) whether fully automated artificial intelligence-based LACI can provide incremental prognostic value to predict HF.

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Background: Inconclusive non-invasive stress testing is associated with impaired outcome. This population is very heterogeneous, and its characteristics are not well depicted by conventional methods.

Aims: To identify patient subgroups by phenotypic unsupervised clustering, integrating clinical and cardiovascular magnetic resonance data to unveil pathophysiological differences between subgroups of patients with inconclusive stress tests.

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Cardiovascular magnetic resonance has emerged as a very helpful tool for the interventional cardiologists not only in the assessment and treatment of coronary artery disease, but also in the evaluation of various structural cardiac diseases. The main pulse sequences are standardised, acquired during short breath-holds, and include steady-state free precession cines, dynamic myocardial first-pass perfusion imaging during contrast injection, and late enhancement imaging for the identification of myocardial substrates. Less than 30-minute CMR studies are now available for the most common clinical indications.

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Aims: To assess the safety, feasibility, and prognostic value of stress cardiovascular magnetic resonance (CMR) in patients with pacemaker (PM).

Methods And Results: Between 2008 and 2021, we conducted a bi-centre longitudinal study with all consecutive patients with MR-conditional PM referred for vasodilator stress CMR at 1.5 T in the Institut Cardiovasculaire Paris Sud and Lariboisiere University Hospital.

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Background: One-third of ischemic strokes are "cryptogenic" without clearly identified etiology. Although coronary artery disease (CAD) is the main cause of death after stroke, the interest in CAD screening in patients with cryptogenic stroke is still debated.

Aim: The aim of the study was to assess the incremental prognostic value of stress cardiovascular magnetic resonance (CMR) beyond traditional risk factors for predicting cardiovascular events in patients with a prior cryptogenic ischemic stroke.

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The impact of sex on pathophysiological processes, clinical presentation, treatment options, as well as outcomes of degenerative aortic stenosis remain poorly understood. Female patients are well represented in transfemoral aortic valve implantation (TAVI) trials and appear to derive favorable outcomes with TAVI. However, higher incidences of major bleeding, vascular complications, and stroke have been reported in women following TAVI.

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Article Synopsis
  • - This study evaluates the prognostic value of stress cardiac magnetic resonance (CMR) imaging for patients with obstructive coronary artery disease (CAD) whose condition is not clearly defined through coronary computed tomography angiography (CTA).
  • - Over a median follow-up of 6.8 years, about 13.8% of the patients experienced major cardiovascular events (MACEs), with factors like inducible ischemia and late gadolinium enhancement showing significant correlations with these events.
  • - The research concluded that stress CMR offers better predictive capabilities for adverse cardiovascular outcomes compared to traditional risk assessments and coronary CTA, highlighting its importance in clinical decision-making for symptomatic patients.
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Objectives: This study aims to compare sliding hip screw and intramedullary nail perioperative results and costs in two-part femoral fractures.

Patients And Methods: Between January 2015 and December 2019, a total of 85 patients (70 males, 15 females; mean age: 85.6±9.

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Background: In patients with suspected or known coronary artery disease, traditional prognostic risk assessment is based on a limited selection of clinical and imaging findings. Machine learning (ML) methods can take into account a greater number and complexity of variables.

Objectives: This study sought to investigate the feasibility and accuracy of ML using stress cardiac magnetic resonance (CMR) and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and compared its performance with existing clinical or CMR scores.

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Introduction: Long drug-eluting stents may limit the issue of overlapping multiple stents when treating long coronary lesions.

Aim: The aim of the study was to assess the safety and efficacy of the 48 mm Xience Xpedition everolimus-eluting stent (48mm-EES) for the treatment of long coronary lesions, in an all-comer population.

Methods: Patients receiving at least one 48mm-EES were prospectively included from March 2014 to December 2018.

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Introduction: The natural history of acute myocarditis (AM) remains partially unknown and predictors of outcome are debated. We sought to assess the impact of various cardiac magnetic resonance (CMR) parameters on early and long-term prognosis in a population of patients with AM.

Materials And Methods: In a two-center longitudinal study, we included consecutive patients with diagnosis of AM based on CMR and without hemodynamic compromise.

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