Aims: We aimed to assess the role of multimodality imaging (MMI) in the diagnosis of marantic endocarditis (ME) associated with cancers and to describe the clinical characteristics, management, and outcome of these patients.
Methods And Results: In a retrospective multicentric study including four tertiary centres for the treatment of endocarditis in France and Belgium, patients with a diagnosis of ME were included. Demographic, MMI [echocardiography, computed tomography (CT), and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT)], and management data were collected. Long-term mortality was analysed. Between November 2011 and August 2021, 47 patients with a diagnosis of ME were included. Mean age was 65 ± 11 years. ME occurred in 43 cases (91%) on native valves. Vegetations were detected by echocardiography in all cases and in 12 cases (26%) by CT. No patient had an increased cardiac 18F-FDG valve uptake. The most common cardiac valve involved was aortic (34 cases, 73%). Twenty-two patients (46%) had a known cancer before ME, and 25 cases (54%) were diagnosed thanks to multimodality imaging. 18FDG PET/CT was performed in 30 patients (64%) and allowed a new diagnosis of cancer in 14 patients (30%). Systemic embolism was frequent (40 patients, 85% of cases). Forty-one patients (87%) were treated medically with anticoagulation therapy. One-year mortality was 55% (26 patients).
Conclusion: ME remains associated with a high risk of complications and death.
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http://dx.doi.org/10.1093/ehjci/jead139 | DOI Listing |
Arch Gynecol Obstet
January 2025
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Purpose: This case report aims to present a rare case of endometrial carcinosarcoma, a highly malignant tumor with a poor prognosis. The primary objective is to describe this unique case's clinical presentation, multimodal magnetic resonance imaging (MRI) features, typical histopathological characteristics and surgical treatment.
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JACC Cardiovasc Imaging
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National Amyloidosis Centre, University College London, Royal Free Campus, Rowland Hill Street, London, United Kingdom.
Cardiac amyloidosis represents a unique disease process characterized by amyloid fibril deposition within the myocardial extracellular space. Advances in multimodality cardiac imaging enable accurate diagnosis and facilitate prompt initiation of disease-modifying therapies. Furthermore, rapid advances in multimodality imaging have enriched understanding of the underlying pathogenesis, enhanced prognostication, and resulted in the development of imaging-based markers that reflect the amyloid burden, which is of increasing importance when assessing the response to treatment.
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December 2024
Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy.
Even if rarely detected, right atrial (RA) masses represent a diagnostic challenge due to their heterogeneous presentation. Para-physiological RA structures, such as a prominent Eustachian valve, Chiari's network, and lipomatous atrial hypertrophy, may easily be misinterpreted as pathological RA masses, including thrombi, myxomas, and vegetations. Each pathological mass should always be correlated with adequate clinical, anamnestic, and laboratory data.
View Article and Find Full Text PDFJ Clin Med
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Diabetic macular edema (DME) is a significant cause of vision loss. The development of peripheral non-perfusion (PNP) might be associated with the natural course, severity, and treatment of DME. The present study seeks to understand the predictive power of central macular changes and clinico-demographic features for PNP in patients with clinically significant DME.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Faculty of Science and Technology, Keio University, Yokohama 223-8522, Japan.
Person identification is a critical task in applications such as security and surveillance, requiring reliable systems that perform robustly under diverse conditions. This study evaluates the Vision Transformer (ViT) and ResNet34 models across three modalities-RGB, thermal, and depth-using datasets collected with infrared array sensors and LiDAR sensors in controlled scenarios and varying resolutions (16 × 12 to 640 × 480) to explore their effectiveness in person identification. Preprocessing techniques, including YOLO-based cropping, were employed to improve subject isolation.
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