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
|
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