Can I read Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning on EtoBox?

Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning by Gogin, Nicolas (author);Viti, Mario (author);Nicodème, Luc (author);Ohana, Mickaël (author);Talbot, Hugues (author);Gencer, Umit (author);Mekukosokeng, Magloire (author);Caramella, Thomas (author);Diascorn, Yann (author);Airaud, Jean-Yves (author);Guillot, Marc-Samir (author);Bensalah, Zoubir (author);Dam Hieu, Caroline (author);Abdallah, Bassam (author);Bousaid, Imad (author);Lassau, Nathalie (author);Mousseaux, Elie (author) is a Medicine article available to read on EtoBox.

What is Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning about?

## Purpose: The purpose of this study was to develop and evaluate an algorithm that can automatically estimate the amount of coronary artery calcium (cac) from unenhanced electrocardiography (ecg)-gated computed tomography (ct) cardiac volume acquisitions by using convolutional neural networks (cnn). ## Materials and methods: The method used a set of five cnn with three-dimensional (3d) u-net architecture trained on a database of 783 ct examinations to detect and segment coronary artery calcifications in a 3d volume. the agatston score, the conventional cac scoring, was then computed slice by slice from the resulting segmentation mask and compared to the ground truth manually estimated by radiologists. the quality of the estimation was assessed with the concordance index (c-index) on cac risk category on a separate testing set of 98 independent ct examinations. ## Results: The final model yielded a c-index of 0.951 on the testing set. the remaining errors of the method were mainly observed on small-size and/or low-density calcifications, or calcifications located near the mitral valve or ring. ## Conclusion: The deep learning-based method proposed here to compute automatically the

Who reads Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning?

Author

Gogin, Nicolas (author);Viti, Mario (author);Nicodème, Luc (author);Ohana, Mickaël (author);Talbot, Hugues (author);Gencer, Umit (author);Mekukosokeng, Magloire (author);Caramella, Thomas (author);Diascorn, Yann (author);Airaud, Jean-Yves (author);Guillot, Marc-Samir (author);Bensalah, Zoubir (author);Dam Hieu, Caroline (author);Abdallah, Bassam (author);Bousaid, Imad (author);Lassau, Nathalie (author);Mousseaux, Elie (author)

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Medicine (Health Sciences)