Amyloidosis is a systemic infiltrative disease characterized by deposition of misfolded proteins in tissues, notably affecting the heart. According to type of protein, various types are known with the most prevalent being light-chain and transthyretin amyloidosis. Prognosis is dismal with progression to severe heart failure without disease-modifying treatment. Latter having dramatically improved over the last decade, prompt diagnosis is of paramount importance. Recognition of early signs followed by multidisciplinary approach is essential for optimal patient management.
L'amyloïdose est une maladie infiltrative systémique caractérisée par le dépôt intratissulaire de protéines. Selon l'origine de la protéine on distingue différents types d'amyloïdose, mais ce sont essentiellement l'amyloïdose à chaînes légères et celle associée à la transthyrétine qui affectent le myocarde. Le pronostic de l'amyloïdose cardiaque est sombre, évoluant vers une insuffisance cardiaque terminale en absence de traitement spécifique. Avec l'arrivée récente de thérapies pouvant ralentir l'évolution de la maladie, un diagnostic précoce est devenu primordial. La reconnaissance des signes précurseurs de la maladie et la mise en place rapide de traitements dans un centre de référence de l'amyloïdose sont essentielles pour une gestion optimale des patients.
Amyloidosis , Humans , Amyloidosis/diagnosis , Amyloidosis/therapy , Prognosis , Cardiomyopathies/diagnosis , Cardiomyopathies/therapy , Cardiomyopathies/etiology , Amyloid Neuropathies, Familial/diagnosis , Amyloid Neuropathies, Familial/therapy , Disease Progression , Heart Failure/diagnosis , Heart Failure/etiology
Coronary Computed Tomography Angiography (CCTA) has now become an established tool in the diagnostic process for patients suspected of coronary artery disease. In light of rapid technological development, CCTA has evolved into an imaging modality providing both anatomical and functional information to guide patient management. In this article, we describe the role of cardiac CT in assessing atherosclerotic plaque, chest pain evaluation, cardiovascular risk stratification, planning and guiding coronary intervention, as well as structural heart diseases.
Le scanner coronarien est actuellement un outil reconnu dans le processus diagnostique des patients chez qui on suspecte une maladie coronarienne. Bénéficiant d'un développement technologique rapide et procurant des informations tant morphologiques que fonctionnelles, le CT cardiaque devient une modalité d'imagerie incontournable pour orienter la prise en charge des patients. Dans cet article, nous décrivons le rôle du CT cardiaque dans l'évaluation de la plaque d'athérosclérose, des douleurs thoraciques, de la stratification du risque cardiovasculaire, de la planification et du guidage de l'intervention coronarienne, ainsi que des maladies cardiaques structurelles.
Chest Pain , Computed Tomography Angiography , Coronary Angiography , Coronary Artery Disease , Humans , Computed Tomography Angiography/methods , Coronary Artery Disease/diagnostic imaging , Coronary Artery Disease/diagnosis , Chest Pain/etiology , Chest Pain/diagnostic imaging , Coronary Angiography/methods , Plaque, Atherosclerotic/diagnostic imaging , Plaque, Atherosclerotic/diagnosis , Risk Assessment/methods , Heart Diseases/diagnostic imaging , Heart Diseases/diagnosis
Physical activity is undeniably associated with numerous health benefits. However, performance of high intensity and/or high-volume exercise poses a significant physiological challenge to the cardiovascular and respiratory systems, which must undergo several adaptations to meet the increased metabolic demands of the organism. Repeated and prolonged exposure to training leads to long-term cardiac remodeling aimed at optimizing the efficiency of the work performed by the heart during exertion. This article discusses some of the fundamental mechanisms of cardiovascular physiology during exercise including adaptive responses to acute bouts of exercise and longer term structural and functional characteristics of the athlete's heart.
L'exercice physique est indéniablement associé à de nombreux bénéfices pour la santé. La réalisation d'un effort représente un défi physiologique important pour le système cardiovasculaire et respiratoire, qui doivent entreprendre plusieurs adaptations permettant l'augmentation du débit cardiaque afin de palier l'augmentation des demandes métaboliques de l'organisme. L'exposition répétée et prolongée à l'entraînement induit à long terme un remodelage cardiaque optimisant l'efficience du système cardiovasculaire à l'effort. Dans cet article, nous analysons certains des mécanismes de base de la physiologie cardiovasculaire à l'effort, en passant des adaptations survenant lors d'un effort, pour finalement discuter des adaptations structurelles et fonctionnelles qui caractérisent le cÅur d'athlète.
Adaptation, Physiological , Athletes , Exercise , Heart , Humans , Exercise/physiology , Adaptation, Physiological/physiology , Heart/physiology , Cardiovascular Physiological Phenomena
Right ventricular failure (RVF) is often caused by increased afterload and disrupted coupling between the right ventricle (RV) and the pulmonary arteries (PAs). After a phase of adaptive hypertrophy, pressure-overloaded RVs evolve towards maladaptive hypertrophy and finally ventricular dilatation, with reduced stroke volume and systemic congestion. In this article, we review the concept of RV-PA coupling, which depicts the interaction between RV contractility and afterload, as well as the invasive and non-invasive techniques for its assessment. The current principles of RVF management based on pathophysiology and underlying etiology are subsequently discussed. Treatment strategies remain a challenge and range from fluid management and afterload reduction in moderate RVF to vasopressor therapy, inotropic support and, occasionally, mechanical circulatory support in severe RVF.
BACKGROUND: Angiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI). AIMS: We compared the ability of humans, angiographic parameters and deep learning (DL) to predict the lesion that would be responsible for a future MI in a population of patients with non-significant CAD at baseline. METHODS: We retrospectively included patients who underwent invasive coronary angiography (ICA) for MI, in whom a previous angiogram had been performed within 5 years. The ability of human visual assessment, diameter stenosis, area stenosis, quantitative flow ratio (QFR) and DL to predict the future culprit lesion (FCL) was compared. RESULTS: In total, 746 cropped ICA images of FCL and non-culprit lesions (NCL) were analysed. Predictive models for each modality were developed in a training set before validation in a test set. DL exhibited the best predictive performance with an area under the curve of 0.81, compared with diameter stenosis (0.62, p=0.04), area stenosis (0.58, p=0.05) and QFR (0.67, p=0.13). DL exhibited a significant net reclassification improvement (NRI) compared with area stenosis (0.75, p=0.03) and QFR (0.95, p=0.01), and a positive nonsignificant NRI when compared with diameter stenosis. Among all models, DL demonstrated the highest accuracy (0.78) followed by QFR (0.70) and area stenosis (0.68). Predictions based on human visual assessment and diameter stenosis had the lowest accuracy (0.58). CONCLUSION: In this feasibility study, DL outperformed human visual assessment and established angiographic parameters in the prediction of FCLs. Larger studies are now required to confirm this finding.
Coronary Stenosis , Deep Learning , Fractional Flow Reserve, Myocardial , Myocardial Infarction , Humans , Coronary Stenosis/diagnostic imaging , Coronary Angiography/methods , Constriction, Pathologic , Feasibility Studies , Retrospective Studies , Coronary Vessels , Myocardial Infarction/diagnostic imaging
A 67-year-old woman underwent a medical check-up by her general practitioner after complaining of atypical pain in the shoulder girdle. Due to the important inflammatory syndrome noticed on blood testing, a polymyalgia rheumatica was suspected and she was started on corticosteroid treatment with good clinical response, but no impact on inflammation. She underwent extensive imaging with a thoraco-abdominal CT scanner that demonstrated a pancreatic mass, then later a PET-CT showed 3 different hyperactive lesions. Biopsies then revealed simultaneous diffuse large B-cell lymphoma (DLBCL), colorectal adenocarcinoma and pancreatic neuroendocrine tumour. She benefited from low rectal endoscopic excision of the colorectal tumour, R-CHOP chemotherapy for DLBCL and laparoscopic left pancreatectomy. Successful treatment required a good multidisciplinary collaboration between the different specialists. The patient made a good recovery and achieved complete remission at 1 year. This an unusual presentation of multiple primary malignancies.
Colorectal Neoplasms , Lymphoma, Large B-Cell, Diffuse , Neoplasms, Multiple Primary , Pancreatic Neoplasms , Aged , Female , Humans , Lymphoma, Large B-Cell, Diffuse/diagnostic imaging , Lymphoma, Large B-Cell, Diffuse/drug therapy , Neoplasms, Multiple Primary/diagnostic imaging , Neoplasms, Multiple Primary/surgery , Pancreatic Neoplasms/diagnostic imaging , Pancreatic Neoplasms/drug therapy , Positron Emission Tomography Computed Tomography
