Purpose: Leukemic stem cells (LSC) are responsible for leukemia initiation, relapse, and therapeutic resistance. Therefore, the development of novel therapeutic approaches targeting LSCs is urgently needed for patients with acute myeloid leukemia (AML).
Experimental Design: The LSC-like cell lines (KG-1α and Kasumi-1) and CD34+ primary AML cells purified from patients with AML (n = 23) treated with CS055 and/or chiglitazar and were analyzed for viability, death, and colony formation assay.
Introduction: Due to changes in esophageal position, preoperative assessment of the esophageal location may not mitigate the risk of esophageal injury in catheter ablation for atrial fibrillation (AF). This study aimed to assess esophageal motion and its impact on AF ablation strategies.
Methods And Results: Ninety-seven AF patients underwent two computed tomography (CT) scans.
Background: Markers of left atrial (LA) shape may improve the prediction of postablation outcomes in atrial fibrillation (AF). Correlations to LA volume and AF persistence limit their incremental value over current clinical predictors.
Objective: To develop a shape score independent from AF persistence and LA volume using shape-based statistics, and to test its ability to predict postablation outcome.
Doping-related point defect engineering in low-dimensional semiconductor nanostructures is important to regulate their optical and electronic properties. The substitutional or interstitial location of heterovalent dopants is critical and has not been controlled effectively yet. Herein, we carefully control the kinetics of reverse cation exchange between CuS 2D nanosheets and ligand-coordinated Cd cations to control the Cu doping sites in CdS nanosheets (NSs).
View Article and Find Full Text PDFSegmentation of medical images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first step for ablation treatment of atrial fibrillation. However, direct segmentation of LGE-MRIs is challenging due to the varying intensities caused by contrast agents. Since most clinical studies have relied on manual, labor-intensive approaches, automatic methods are of high interest, particularly optimized machine learning approaches.
View Article and Find Full Text PDFStructural changes to the wall of the left atrium are known to occur with conditions that predispose to Atrial fibrillation. Imaging studies have demonstrated that these changes may be detected non-invasively. An important indicator of this structural change is the wall's thickness.
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