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Peri-aortic fat to assess cardiovascular aging using an AI-driven radiomic biomarker

delete2026-07-09
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OA
AI
M
Mendel Lebowitz
G
Gourav Modanwal
A
Amritpal Singh
R
Rohan Dhamdhere
S
Saumya Diwan
T
Taofik Ahmed Suleiman
H
Hilmi Al-Shakhshir
M
Michael Gilkey
S
Scott Shofer
S
Santosh Kumar Sirasapalli
M
M Benjamin Shoemaker
S
Sadeer Al-Kindi
S
Sanjay Rajagopalan
A
Anant Madabhushi *
DOI：10.1093/eurheartj/ehag498delete
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Abstract

Abstract

En 中文
Chronological age is central to cardiovascular disease (CVD) risk estimation but poorly reflects interindividual heterogeneity in cardiovascular aging. This study developed a peri-aortic adipose tissue (PAAT) radiomic cardiovascular age (CV-Age) biomarker from routine chest CT and tested whether the PAAT age gap (ΔAge = CV-Age − chronological age) stratifies major adverse cardiovascular events (MACE) and improves risk classification.

Journal

European Heart Journal cover
European Heart Journal
IF:
35.6
Papers:
3.0W
Citations:
9.1W

Organization

E
Emory University and Georgia Institute of Technology
Scholars:
84
Papers: 28
Citations: 1
A
atlanta veterans affairs medical center
Scholars:
6
Papers: 3
Citations: 0
H
houston methodist hospital
Scholars:
290
Papers: 125
Citations: 1
D
durham veterans affairs medical center
Scholars:
22
Papers: 12
Citations: 0
U
university hospitals
Scholars:
71
Papers: 57
Citations: 0
E
emory university
Scholars:
3.6K
Papers: 1.4K
Citations: 0
V
vanderbilt university medical center
Scholars:
860
Papers: 282
Citations: 0
Cited Papers

Cited Papers

Citing Papers

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