Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The cornerstone of the new imaging technologies to treat complex arrhythmias is the electroanatomic (EAM) mapping. It is based on tissue characterization and in particular on determination of low potential region and dense scar definition. Recently, the identification of fractionated isolated late potentials increased the specificity of the information derived from EAM. In addition, non-invasive tools and their integration with EAM, such as cardiac magnetic resonance imaging and computed tomography scanning, have been shown to be helpful to characterize the arrhythmic substrate and to guide the mapping and the ablation. Finally, intracardiac echocardiography, known to be useful for several practical uses in the setting of electrophysiological procedures, it has been also demonstrated to provide important informations about the anatomical substrate and may have potential to identify areas of scarred myocardium.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135199PMC
http://dx.doi.org/10.4022/jafib.1137DOI Listing

Publication Analysis

Top Keywords

imaging technologies
8
characterize arrhythmic
8
arrhythmic substrate
8
technologies characterize
4
substrate cornerstone
4
cornerstone imaging
4
technologies treat
4
treat complex
4
complex arrhythmias
4
arrhythmias electroanatomic
4

Similar Publications

Introduction: We developed and validated age-related amyloid beta (Aβ) positron emission tomography (PET) trajectories using a statistical model in cognitively unimpaired (CU) individuals.

Methods: We analyzed 849 CU Korean and 521 CU non-Hispanic White (NHW) participants after propensity score matching. Aβ PET trajectories were modeled using the generalized additive model for location, scale, and shape (GAMLSS) based on baseline data and validated with longitudinal data.

View Article and Find Full Text PDF

Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.

Hum Brain Mapp

September 2025

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.

Investigating neuroimaging data to identify brain-based markers of mental illnesses has gained significant attention. Nevertheless, these endeavors encounter challenges arising from a reliance on symptoms and self-report assessments in making an initial diagnosis. The absence of biological data to delineate nosological categories hinders the provision of additional neurobiological insights into these disorders.

View Article and Find Full Text PDF

Background: Poststroke cognitive impairment (PSCI) affects 30% to 50% of stroke survivors, severely impacting functional outcomes and quality of life. This study uses functional near-infrared spectroscopy (fNIRS) to assess task-evoked brain activation and its potential for stratifying the severity in patients with PSCI.

Method: A cross-sectional study was conducted at Nanchong Central Hospital between June 2023 and April 2024.

View Article and Find Full Text PDF

Self-enriching nanozyme with photothermal-cascade amplification for tumor microenvironment-responsive synergistic therapy and enhanced photoacoustic imaging.

Mater Today Bio

October 2025

Yunnan Key Laboratory of Breast Cancer Precision Medicine, Institute of Biomedical Engineering, Kunming Medical University, Kunming, 650500, Yunnan, China.

Achieving precise intratumoral accumulation and coordinated activation remains a major challenge in nanomedicine. Photothermal therapy (PTT) provides spatiotemporal control, yet its efficacy is hindered by heterogeneous distribution of PTT agents and limited synergy with other modalities. Here, we develop a dual-activation nanoplatform (IrO-P) that integrates exogenous photothermal stimulation with endogenous tumor microenvironment (TME)-responsive catalysis for synergistic chemodynamic therapy (CDT) and ferroptosis induction.

View Article and Find Full Text PDF

Lung cancer associated with cystic airspaces (LCCA) refers to primary lung cancers presenting with cystic airspaces accompanied by solid components, representing a relatively uncommon imaging and pathological phenotype. Although high-resolution imaging techniques, such as computerized tomography, are the primary diagnostic tools, early diagnosis remains challenging due to the similarity of its symptoms to other pulmonary diseases. Treatment options include surgery, chemotherapy, radiotherapy, targeted therapy, and immunotherapy.

View Article and Find Full Text PDF