Blood speckle tracking to predict functional status in pediatric patients with dilated cardiomyopathy

Dyssynchrony; seems to play a significant role in orchestrating symptoms of heart failure. In this context, blood speckle tracking study seems a promising bedside method, in its assessment. A large room for improvement and systemization of its assessment is still needed to objectivize its use.

Authors

Institutions

Publication Details

Journal
BMC Cardiovascular Disorders
Published
2025-07-21
DOI
https://doi.org/10.1186/s12872-025-04984-2
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blood speckle tracking to predict functional status in pediatric patients with dilated cardiomyopathy

Aliaa Ibrahim Mabrouk, Antoine AbdelMassih, Manal AbdelHameed, Soha Emam
BMC Cardiovascular Disorders
Non-Invasive Vital Sign Monitoring
article

Blood speckle tracking to predict functional status in pediatric patients with dilated cardiomyopathy

Aliaa Ibrahim Mabrouk, Antoine AbdelMassih, Manal AbdelHameed, Soha Emam
article en

Abstract

Dyssynchrony; seems to play a significant role in orchestrating symptoms of heart failure. In this context, blood speckle tracking study seems a promising bedside method, in its assessment. A large room for improvement and systemization of its assessment is still needed to objectivize its use.

BMC Cardiovascular DisordersVol. 25(1)
Cairo University (EG)
Cairo University
Openalex Percentile: Top 84%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.