CT Radiomics of Pericoronary Fat to Predict Coronary Artery Calcification

Radiomic features of PCAT on cardiac CT can accurately predict CAC, showing its potential as an imaging-based biomarker for CAD risk assessment. J. Med. Invest. 72 : 330-336, August, 2025.

Authors

Institutions

Publication Details

Journal
The Journal of Medical Investigation
Published
2025-01-01
DOI
https://doi.org/10.2152/jmi.72.330
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

CT Radiomics of Pericoronary Fat to Predict Coronary Artery Calcification

Ryosuke Kasai, Masafumi Harada, Yoichi Otomi, Hideki Otsuka et al.
The Journal of Medical Investigation
Cardiovascular Disease and Adiposity
article

CT Radiomics of Pericoronary Fat to Predict Coronary Artery Calcification

Ryosuke Kasai, Masafumi Harada, Yoichi Otomi, Hideki Otsuka, Masataka Sata, Leah Anne Christine Bollos, Shoichiro Takao
article en

Abstract

Radiomic features of PCAT on cardiac CT can accurately predict CAC, showing its potential as an imaging-based biomarker for CAD risk assessment. J. Med. Invest. 72 : 330-336, August, 2025.

The Journal of Medical InvestigationVol. 72(3.4)
Tokushima University Hospital (JP), Tokushima University (JP)
University of Tokushima
Openalex Percentile: Top 50%
Cardiovascular Disease and Adiposity
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.