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Molecular Stratification of Light-Chain Cardiac Amyloidosis With F-Florbetapir and Ga-FAPI-04 for Enhanced Prognostic Precision.
JACC Cardiovasc Imaging
January 2025
Department of Nuclear Medicine, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Cardiac involvement in amyloid light chain (AL) amyloidosis significantly influences prognosis, necessitating timely diagnosis and meticulous risk stratification.
Objectives: This prospective study aimed to delineate the molecular phenotypes of AL cardiac amyloidosis (AL-CA) by characterizing fibro-amyloid deposition using F-florbetapir and gallium-68-labeled fibroblast activation protein inhibitor-04 (Ga-FAPI-04) positron emission tomography (PET)/computed tomography (CT) imaging. The authors also proposed a novel molecular stratification methodology for prognosis.
Clinical Impact of Sarcopenia in the Decision-Making Process for Patients with Acute Diverticulitis.
J Clin Med
December 2024
UOC Chirurgia d'Urgenza e del Trauma, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Acute diverticulitis (AD), an inflammatory complication of diverticulosis, affects around 4% of individuals with diverticulosis, with increased incidence in older populations. This study aims to assess the impact of sarcopenia, the age-related loss of muscle mass, on the clinical decision-making and outcomes of patients with AD. A retrospective study was conducted on 237 patients admitted to the Emergency Department (ED) between January 2014 and February 2022.
View Article and Find Full Text PDFAn Innovative Linear Wireless Sensor Network Reliability Evaluation Algorithm.
Sensors (Basel)
January 2025
College of Information Science and Engineering, Shenyang University of Technology, Shenyang 110167, China.
In recent years, wireless sensor networks (WSNs) have become a crucial technology for infrastructure monitoring. To ensure the reliability of monitoring services, evaluating the network's reliability is particularly important. Sensor nodes are distributed linearly when monitoring linear structures, such as railway bridges, forming what is known as a Linear Wireless Sensor Network (LWSN).
View Article and Find Full Text PDFA Systematic Review of the Applications of Deep Learning for the Interpretation of Positron Emission Tomography Images of Patients with Lymphoma.
Cancers (Basel)
December 2024
Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA.
: Positron emission tomography (PET) is a valuable tool for the assessment of lymphoma, while artificial intelligence (AI) holds promise as a reliable resource for the analysis of medical images. In this context, we systematically reviewed the applications of deep learning (DL) for the interpretation of lymphoma PET images. : We searched PubMed until 11 September 2024 for studies developing DL models for the evaluation of PET images of patients with lymphoma.
View Article and Find Full Text PDFAutomatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study.
Diagnostics (Basel)
January 2025
Department of Medical Imaging, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
: Prostate cancer (PCa) is the most frequent neoplasia in the male population. According to the International Society of Urological Pathology (ISUP), PCa can be divided into two major groups, based on their prognosis and treatment options. Multiparametric magnetic resonance imaging (mpMRI) holds a central role in PCa assessment; however, it does not have a one-to-one correspondence with the histopathological grading of tumors.
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