Download full-text PDF

Source
http://dx.doi.org/10.1152/ajpheart.00676.2018DOI Listing

Publication Analysis

Top Keywords

magnetic resonance
4
resonance imaging
4
imaging computation
4
computation intracardiac
4
intracardiac flow
4
flow derangements
4
derangements heart
4
heart failure
4
failure dyssynchrony
4
magnetic
1

Similar Publications

Glioma is characterized by high heterogeneity and poor prognosis. Attempts have been made to understand its diversity in both genetic expressions and radiomic characteristics, while few integrated the two omics in predicting survival of glioma. This study was intended to investigate the connection between glioma imaging and genome, and examine its predictive value in glioma mortality risk and tumor immune microenvironment (TIME).

View Article and Find Full Text PDF

In the present study, the nematicidal and fungicidal activity of the biosurfactant (BS) produced by the strain Serratia ureilytica UTS was evaluated. The highest mortality of J2 juveniles of the nematode Nacobbus aberrans was 92.3% at a concentration of 30 mg/mL.

View Article and Find Full Text PDF

Objectives: To improve preoperative diagnostic accuracy of struma ovarii by retrospectively reviewing magnetic resonance (MR) findings. It is beneficial to choose the most appropriate surgical modality for the patient.

Methods: We retrospectively reviewed the clinical course and MR characteristics of 52 patients who were diagnosed postoperatively with struma ovarii, pathologically, from two institutions.

View Article and Find Full Text PDF

Introduction: Anorectal melanoma (ARM) is rare and highly lethal neoplasm. It has a poorer prognosis compared with cutaneous ones. Sentinel lymph node biopsy (SLNB) has become the preferred method of nodal staging method for cutaneous melanoma.

View Article and Find Full Text PDF

Basic Science and Pathogenesis.

Alzheimers Dement

December 2024

Korea University, Sejong, Sejong, Korea, Republic of (South).

Background: Amyloid-β accumulation is a pivotal factor in Alzheimer's disease (AD) progression. As treatment for AD has not been successful yet, the most effective approach lies in early diagnosis and the subsequent delay of disease progression. Hence, this study introduces a deep learning model to predict amyloid-β accumulation in the brain.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!