Development and validation of a radiomics model for detecting cardiac amyloidosis at coronary computed tomography angiography

The radiomics model exhibited good diagnostic performance for CA detection in patients with hypertrophic phenotypes, outperforming myocardial CT attenuation.

Authors

Institutions

Publication Details

Journal
European Heart Journal - Cardiovascular Imaging
Published
2025-02-28
DOI
https://doi.org/10.1093/ehjci/jeaf071
Citations
5
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
6.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a radiomics model for detecting cardiac amyloidosis at coronary computed tomography angiography

Ákos Varga‐Szemes, Qingchao Meng, Dmitrij Kravchenko, Bin Lü et al.
5 citations
European Heart Journal - Cardiovascular Imaging
Cardiac Imaging and Diagnostics
6.80
article

Development and validation of a radiomics model for detecting cardiac amyloidosis at coronary computed tomography angiography

Ákos Varga‐Szemes, Qingchao Meng, Dmitrij Kravchenko, Bin Lü, Lei Xu, U. Joseph Schoepf, Xiaoxin Sun, Hui Liu, Yang Gao, Kairui Bo, Lu Yu, Yubo Guo, Jiayu Chen, Yining Wang, Yan Zhang, Xianbo Yu, Feng Dong, Li Zhao, Yang Wang
article en
5 citations

Abstract

The radiomics model exhibited good diagnostic performance for CA detection in patients with hypertrophic phenotypes, outperforming myocardial CT attenuation.

European Heart Journal - Cardiovascular ImagingVol. 26(6)
Guiyang Medical University (CN), Medical University of South Carolina (US), Capital Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), University Hospital Bonn (DE), Peking Union Medical College Hospital (CN), Quantitative BioSciences (US), Affiliated Hospital of Guizhou Medical University (CN), Beijing Anzhen Hospital (CN), Guangdong Academy of Medical Sciences (CN), Siemens Healthcare (United States) (US), Guangdong Provincial People's Hospital (CN), Fu Wai Hospital (CN), Southern Medical University (CN)
Openalex Percentile: Top 3%
Cardiac Imaging and Diagnostics
6.80
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.