Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.
| Author | |
|---|---|
| Abstract |
:
We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomography angiography (CTA). |
| Year of Publication |
:
2018
|
| Journal |
:
European radiology
|
| Date Published |
:
2018
|
| ISSN Number |
:
0938-7994
|
| URL |
:
https://dx.doi.org/10.1007/s00330-017-5223-z
|
| DOI |
:
10.1007/s00330-017-5223-z
|
| Short Title |
:
Eur Radiol
|
| Download citation |
