RESUMO
INTRODUCTION: Neuroendocrine neoplasms (NENs) represent a complex group of tumors arising from neuroendocrine cells, characterized by heterogeneous behavior and challenging diagnostics. Despite advancements in medical technology, NENs present a major challenge in early detection, often leading to delayed diagnosis and variable outcomes. This review aims to provide an in-depth analysis of current diagnostic methods as well as the evolving and future directions of diagnostic strategies for NENs. AREA COVERED: The review extensively covers the evolution of diagnostic tools for NENs, from traditional imaging and biochemical tests to advanced genomic profiling and next-generation sequencing. The emerging role of technologies such as artificial intelligence, machine learning, and liquid biopsies could improve diagnostic precision, as could the integration of imaging modalities such as positron emission tomography (PET)/magnetic resonance imaging (MRI) hybrids and innovative radiotracers. EXPERT OPINION: Despite progress, there is still a significant gap in the early diagnosis of NENs. Bridging this diagnostic gap and integrating advanced technologies and precision medicine are crucial to improving patient outcomes. However, challenges such as low clinical awareness, limited possibility of noninvasive diagnostic tools and funding limitations for rare diseases like NENs are acknowledged.
RESUMO
OBJECTIVES: We sought to determine whether the increased risk of atrial fibrillation and stroke in rheumatoid arthritis (RA) can be accounted for by an increased prevalence of electrocardiographic markers of atrial myopathy. METHODS: We retrospectively evaluated clinical and electrocardiographic data of 218 RA patients prospectively enrolled in the Endothelial Dysfunction Evaluation for Coronary Heart Disease Risk Estimation in Rheumatoid Arthritis study (EDRA study ClinicalTrials.gov: NCT02341066) and 109 controls matched by age and gender. The prevalence of interatrial blocks (IAB, partial - pIAB or advanced - aIAB), abnormal P-wave terminal force in lead V1 (aPtfV1) and atrial myopathy (electrocardiographically defined as the presence of 1) aIAB, or 2) pIAB plus abnormal aPtfV1) was assessed in each group. RA patients were followed-up for 5 years for incident atrial fibrillation and cardiovascular events. RESULTS: Barring the prevalence of hyperlipidaemia and obesity, the demographic characteristics and cardiovascular risk profile of RA patients and controls were comparable. All subjects enrolled in the study were free from previous cardiovascular disease and atrial fibrillation. Compared to controls, RA patients had longer P-wave duration (118±12 vs. 112±10 ms, p<0.001) and higher prevalence of pIAB (43% vs. 21%, p<0.001) and abnormal PtfV1 (27% vs. 10%, p<0.001). Accordingly, atrial myopathy was significantly more prevalent (15% vs 4%, p=0.003) in RA patients. In multiple regression, male gender (OR [95% CI] = 3.09 [1.48-6.47], p=0.003) and RA (OR [95% CI] = 4.83 [1.58-14.73], p=0.006) were independently associated with atrial myopathy. Atrial myopathy was not significantly associated with incident atrial fibrillation or cardiovascular events in RA patients after 5 years of follow-up. CONCLUSIONS: Electrocardiographic markers of atrial myopathy are independently associated with RA. Further studies with larger sample size and longer follow-up are needed to determine whether the increased prevalence of atrial myopathy contributes to the increased risk of atrial fibrillation and stroke in this group.
