Quantitative Analysis of Hemodynamic Changes in Branch Arteries Covered by Flow Diverters.

Background And Objectives: Understanding post-treatment hemodynamic alterations and their association with the patency of covered branch arteries is limited. This study aims to identify hemodynamic changes after flow diverter stenting and investigate their correlation with the patency status of covered branch arteries.

Methods: All patients treated with pipeline embolization device for anterior cerebral artery aneurysms at our center between 2016 and 2020 were screened for inclusion.

sRNAminer: A multifunctional toolkit for next-generation sequencing small RNA data mining in plants.

Small RNAs (sRNAs), found extensively in plants, play an essential role in plant growth and development. Although various sRNA analysis tools have been developed for plants, the use of most of them depends on programming and command-line environments, which is a challenge for many wet-lab biologists. Furthermore, current sRNA analysis tools mostly focus on the analysis of certain type of sRNAs and are resource-intensive, normally demanding an immense amount of time and effort to learn the use of numerous tools or scripts and assemble them into a workable pipeline to get the final results.

Diagnosis of intracranial aneurysms by computed tomography angiography using deep learning-based detection and segmentation.

Background: Detecting and segmenting intracranial aneurysms (IAs) from angiographic images is a laborious task.

Objective: To evaluates a novel deep-learning algorithm, named vessel attention (VA)-Unet, for the efficient detection and segmentation of IAs.

Methods: This retrospective study was conducted using head CT angiography (CTA) examinations depicting IAs from two hospitals in China between 2010 and 2021.